Back to Course 04 — Money Model
04.1 Map Attraction, Core, Upsell and Downsell Offers — Part 6 of 9
RISER NATION CORP — IF YOU AREN'T BUILDING, YOU ARE DESTROYING
Study the lesson teaching and complete original source appendices below. Each supporting document remains linked beside the material it supports.
Lesson video
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Read, reconcile and improve the Average Cart Value workbook
RISER NATION CORP — IF YOU AREN'T BUILDING, YOU ARE DESTROYING
Outcome and scope
Explain every scenario in the supplied five-tab workbook, identify the denominator and formula errors, and distinguish an illustrative funnel forecast from actual campaign results. The native workbook contains 484 populated cells, including 147 formulas, 160 merged regions and nine original images. The complete cell records, formulas, native values, images and filed text are preserved with this lesson. Source outputs remain unchanged; corrected examples are separate authored calculations.
The five tabs are 1 UPSELL, Sheet6, 2 UPSELLS, WEBINAR TAIL and Candle Business. The images and cells sometimes disagree. Some tiny text inside embedded advertisement and page screenshots is not legible at the supplied resolution; the original images remain available without invented transcription. Two linked PDF resources could not be retrieved and remain explicit gaps.
Start with the eight named metrics
The workbook lists ROAS, AOV, ACV, LTV, MRR, CTR, CPC and CPA. Return on ad spend, ROAS, compares attributed revenue with ad spend. Its 2:1 example means two dollars of revenue per dollar of ad spend, not two dollars of profit. Average order value, AOV, needs a defined set of orders and the corresponding revenue. Average cart value, ACV, is used here for an average customer's initial funnel purchases, but the workbook inconsistently mixes averages and campaign totals. State the denominator before calculating.
Lifetime value, LTV, extends beyond the initial order over a defined relationship horizon. Monthly recurring revenue, MRR, concerns the recurring revenue basis for a month; an isolated upsell is not automatically recurring. Clickthrough rate, CTR, is clicks divided by impressions, as explained by Google Ads. Cost per click, CPC, is the relevant click cost divided by clicks. CPA must name the action or acquisition: Google defines average cost per action using total cost divided by the corresponding conversions. See Google's CPA definition. A conversion may be a lead or another action, so do not silently equate every platform conversion with an acquired customer.
The workbook repeatedly labels CPC divided by clicks as CTR. That is not a clickthrough rate, and there are no impression inputs to calculate one. It labels clicks divided by ad spend as CPA, which has inverted units and no acquisition count. Preserve those formulas in the original ledger, but do not teach their results as valid metrics.
Trace 1 UPSELL's first scenario
The tab describes shipping information, an initial purchase shown as $9.99 or $54.95, a $37 order bump and a $47 one-time offer. Other labels use $9.95, $54.94 or $54.95, so the original does not consistently state its base prices. Its initial ACV input is $22.33; the source does not supply the purchase mix needed to derive it from the alternative prices.
At 1,000 clicks and $0.35 CPC, the sheet calculates $350 ad spend. Fifteen percent entering shipping details yields 150 people. A 3.5% purchase rate among those people yields 5.25 expected buyers. Fractional buyers can appear in a forecast; they are not observed people. The sheet then applies a 10.2% bump rate to get 0.5355 expected bump buyers, and an 11% OTO rate to those bump buyers to get 0.058905 OTO buyers.
That final dependency assumes only bump buyers form the OTO population. It is not the same as an 11% OTO rate among all initial buyers. Establish who sees the offer and which population the rate describes before choosing the multiplication.
The sheet's D32 adds bump-buyer count times $37 to $22.33 and calls the result $42.1435 average cart value. This mixes campaign dollars with dollars per customer. F32 then multiplies that cumulative amount by bump buyers, counting the base amount again. D35/F35 repeat the count-and-average mixture for the OTO. As a result, the source displays revenue $142.45 and a revenue-minus-ads result of −$207.55. These are outputs of the supplied formulas, not validated campaign economics.
Compare the 5,000- and 10,000-click scenarios
The next two blocks retain $0.35 CPC, 15% shipping entry, 3.5% initial purchase, $22.33 base ACV, 10.2% at $37 for the bump and 11% at $47 for the OTO. At 5,000 clicks, spend is $1,750, shipping entries 750, initial buyers 26.25, bump buyers 2.6775 and chained OTO buyers 0.294525. The source's flawed formulas display revenue $951.04 and a residual of −$798.96.
At 10,000 clicks, spend is $3,500, shipping entries 1,500, initial buyers 52.5, bump buyers 5.355 and chained OTO buyers 0.58905. The source displays revenue $2,499.09 and residual −$1,000.91. Its supposed average cart value grows to $248.15035 simply through scaling the same rates and offer inputs. That is a useful diagnostic: an unchanged per-customer average should not grow merely because the same model has more visitors.
The tab also asserts industry ACV of $30–35 for free-plus-shipping and CPA of $5–25. It supplies no dated dataset or matching audience definition. Keep these as source assertions, not universal targets.
Build a separate, explicitly assumed correction
As an authored illustration, assume every initial buyer can take both the bump and OTO, and that 10.2% and 11% are rates among that same initial-buyer population. Expected initial buyers are 1,000 × 0.15 × 0.035 = 5.25. ACV is $22.33 + 0.102 × $37 + 0.11 × $47 = $31.274. Expected revenue is 5.25 × $31.274 = $164.1885. Subtracting $350 ad spend gives −$185.8115 before other costs. Acquisition cost per initial buyer is $350 ÷ 5.25, approximately $66.67.
If only bump buyers can take the OTO, its per-initial-buyer contribution is instead 0.102 × 0.11 × $47 = $0.52734. Use that different dependency consistently. Neither interpretation is established by a label alone. In an actual model, reconcile the population, period, refunds, revenue definition and costs to business records.
Understand Sheet6's different model
Sheet6 lists four ad CPAs of $8.51, $6.01, $8.21 and $12.21. Its G4 averages them without weights to get $8.735. Overall CPA should be derived from matching total cost and acquisitions; an unweighted mean is appropriate only under the relevant equal-weight conditions.
The tab's price cells include $4.95 and $54.95, which it adds to $59.90. This conflicts with other initial-price labels and assumes alternative options can be added together. A weighted price mix requires purchase counts or proportions, not an unqualified sum of alternatives.
Its four conversion rates are 15.6%, 3.5%, 10.2% and 11%. At 1,000 visitors it calculates 156 first-step entries, 5.46 initial buyers, 0.55692 bump buyers and 0.0612612 chained OTO buyers. The component amounts shown are $2.0965, $3.774 and $5.17. H11 averages those three amounts to $3.6801667 while labeling the result ACV TOTAL. That average is not the sum implied by the label. F12 references blank E13 and F11, and F14 uses a buyer count where the comparable cells use a rate; both currently yield zero. These are structural issues, not proof of zero demand for a fifth offer.
Read both 2 UPSELLS scenarios
The first block uses 1,000 clicks, $0.35 CPC, 15% shipping entry, 3.5% purchase and $22.33 initial ACV. It adds a 10.2% $37 bump, an 11% $47 OTO and a 10% $197 second upsell, chaining each later buyer count to the previous purchaser count. It produces 5.25 initial buyers, 0.5355 bump buyers, 0.058905 OTO buyers and 0.0058905 second-upsell buyers. The sheet displays revenue $143.61 and residual −$206.39 using its flawed cumulative formulas.
The second block keeps traffic, initial purchase and prices the same but uses a 17% bump and 21.5% OTO. It produces 0.8925 bump buyers, 0.1918875 OTO buyers and 0.01918875 second-upsell buyers. It displays revenue $182.77 and residual −$167.23. Again, preserve the original results while correcting the count-versus-average issue before drawing an economic conclusion. The native images instead use 17.4% and a 4.5% second upsell in examples; those are different inputs, not interchangeable evidence.
Inspect WEBINAR TAIL
The heading says 1,000 visitors, but the actual click input is 10,000, making ad spend $3,500 at $0.35 CPC. The block uses 15% shipping entry, 3.5% initial purchase, $22.33 base ACV, a 17% $37 bump, a 21.5% $47 OTO, a 10% $197 second upsell and a 4.5% $2,000 webinar offer.
Its chain yields 52.5 initial buyers, 8.925 bump buyers, 1.918875 OTO buyers, 0.1918875 second-upsell buyers and 0.0086349375 webinar buyers. That final forecast follows second-upsell purchasers, not a supplied webinar registration or attendance population. The file supplies no separate show-up rate for this calculation.
The source displays $5,223.52 revenue and $1,723.52 residual. Its cumulative-average errors are still present. Do not interpret that displayed positive residual as evidence the webinar makes the funnel profitable. Correct the formulas, reconcile the 1,000/10,000 heading conflict and identify the actual webinar denominator first.
Inspect Candle Business and its lotion-bar examples
The tab title says Candle Business, while its imagery and narrative concern lotion bars. The click input is 1,000 and CPC $0.35, but ad cost is hardcoded $68.45 rather than the implied $350. The formula 1,000 ÷ $68.45 returns $14.6092 under the CPA label, repeating the inverted-unit error.
Shipping entry is 7.19%, purchase rate 34.5%, base ACV $37.58 and expected initial buyers 24.8055. The bump rate is 19% with a $1.01 price input. The OTO rate is 34.37% with a $0.41 input, but D40 ignores that rate and copies all initial buyers. The final upsell uses 4.75% and $2.26. The source does not explain those small price inputs relative to the much larger pictured offer prices.
The cumulative formulas produce $2,436.95 revenue and $2,368.50 after the hardcoded ad cost. These are not verified business results. Reconcile the price inputs, ignored conversion rate, spend conflict and count/average arithmetic. Do not call revenue minus advertising “gross profit” without the relevant cost-of-sales treatment; it is also not net profit.
Teach the original diagrams as separate source examples
Images 1–3 show the one-upsell illustration and enlarged parts. Their five pictured ad CPAs are $8.51, $6.01, $8.21, $12.21 and $5.06. The sketch shows shipping, credit-card purchase with $9.95/$54.95, $37 bump and $47 OTO. Rates are 15.6%, 3.5%, 10.2% and 11%. The right-hand example has CPA $9.17, increments $0/$22.33/$3.77/$5.17, ACV $31.27 and subtraction $22.10. These image values differ from several cell inputs and formulas. The diagram alone does not establish all denominators or the method producing the stated CPA.
Image 4 adds the $197 second upsell, changes the bump rate to 17.4% and shows a 4.5% second-upsell rate. Its increments are $0/$22.33/$6.44/$5.17/$8.87, total $42.80, CPA $7.14 and residual $35.66. The other rate labels remain 15.6%, 3.5% and 11%. The result is a supplied illustration; traffic counts and attribution evidence are absent.
Image 9 shows a later version with the OTO rate at 21.5%, CPA $23.79, stated ACV $47.55 and residual $23.76. Its other rates are 15.6%, 3.5%, 17.4% and 4.5%; displayed increments are $0/$22.33/$6.44/$9.92/$8.87. The $9.92 increment does not equal $47 × 21.5% = $10.105, and the displayed nonzero increments total $47.56 rather than $47.55. Preserve these differences.
The image 9 prose says simplifying the offer, making it as free as possible and easier to follow moved conversion from 11% to 21.5%, while acknowledging increased CPA. The example does not prove causation. Comparing the supplied residuals, $35.66 in image 4 versus $23.76 in image 9, shows why a higher headline conversion can coexist with a worse acquisition contribution. Other costs remain unreported.
Read Jamie's narrative and both diagram versions
Image 5 says Jamie runs three ads and sells a lotion bar rather than a free-plus-shipping book offer. Images 6 and 8 show four ad CPAs: $10.87, $12.76, $19.50 and $15.29. The narrative reports CPA $14.61, 7.19% shipping entry and 34.5% initial purchase, with $37.58 front-end ACV. It describes selling more of the same on the next page at 19%, adding $4.73; a second upsell at 34.37%, adding $9.76; and a final offer at 4.75%, adding $3.07.
The diagrams show 4.25% for that final rate, not 4.75%. Their upsell sketches include WAIT messages and $39/$49 then $49/$24 option prices, followed by BEFORE YOU LEAVE / ADD TO ORDER. The diagrams report ACV $55.15 less $14.61 CPA = $40.54. The listed increments sum $55.14; underlying rounding might explain the cent, but the source does not establish it.
The narrative says results followed testing and proposes examining the 19% upsell for improvement and brainstorming changes. Use that as a prompt to investigate, not a rule that the numerically smallest percentage is necessarily the most valuable improvement. The stages may have different denominators, costs and constraints. Its claim that more-of-the-same upsells work for all ecommerce is unsupported. Retain both original diagram versions and all narrative text; small screenshot copy that cannot be read is not reconstructed.
Evaluate all ten asserted benchmarks
Image 7 lists lead opt-ins >20%; two-step opt-ins >10–15%; tripwire sales conversion >1–5%; order bumps >20%; OTO/downsell conversions >3–15%; live webinar show-up >10–20%; automated webinar show-up >50–80%; hot-traffic live webinar buying >10%; cold-traffic live webinar buying >1–5%; and automated webinar buying >3–8%.
The greater-than-plus-range notation is preserved from the source and is not a precise statistical threshold. These are unverified suggested benchmarks without a supplied dataset, date, denominator, attribution window or comparable audience. Define what counts as an opt-in, show-up or buyer and use your own relevant evidence before setting a target. A higher rate can still produce worse economics if acquisition or fulfillment costs change.
Turn the review into a useful offer test
The Brunson/ClickFunnels application is to inspect each transition and clarify the hook, story and offer where a real customer need is unmet. The Hormozi application is to improve useful value and delivery while checking economics. Neither framework justifies a guaranteed conversion lift or a broken revenue model.
As an authored exercise, choose one scenario and preserve its original formulas. In a separate calculation, define the buyer population at every stage, keep incremental revenue separate from cumulative averages, compute matching acquisition costs, and record the costs still missing. Change one justified input and explain how the result should change. Do not activate ads or purchase traffic as part of reading this lesson.
For every test, identify the customer question, proposed change, observation window, denominator, costs and decision rule. Keep observed results separate from expected fractional buyers. Preserve conflicting source inputs rather than blending them into an undocumented hybrid.
Sources, complete records and access gaps
- Assigned Average Cart Value spreadsheet, including all five native tabs. - Funnel Audibles transcript PDF named in cell A1: retrieval was blocked by the browser tool's URL policy; its contents have not been reviewed. - Funnel Audibles workbook PDF named in cell G6: the same access gap applies. A clickable link is not proof the linked text was incorporated. - Related real-estate LTV source, with a separate lesson addressing lifetime-versus-annual frequency and referral assumptions. - Related offer architecture source.
The appendix retains the complete native cell ledger, original formulas, source values, merged-grid structure, nine images and their readable-content review, original XLSX and complete filed source copy. Native-versus-export input and formula comparisons match for all 484 populated cells; 32 cached-result differences reflect export rounding and remain recorded. That comparison proves preservation, not that the original formulas are correct.
Assigned source links
Original tables, images and embedded resource links
Original spreadsheet grids retain source values, blank cells inside the used region and merged regions. These source calculations contain errors explained in the lesson. Original full-grid dimensions and image anchors are recorded below; original XLSX preserves native layout. Formula text is in the complete cell ledger.
1 UPSELL
Native allocated grid 999 rows × 26 columns; populated/merged region rendered through K89.
| https://s3content.s3.amazonaws.com/30_Day_Summit/Funnel_Audibles_Transcripts.pdf | ||||||||||
| COST PER AQUISITION | ||||||||||
| AVERAGE CART VALUE | ||||||||||
| ACV Industry Average for "Free Plus Shipping $30-35" | https://s3content.s3.amazonaws.com/30_Day_Summit/Funnel_Audibles_Final.pdf | |||||||||
| WORKBOOK | ||||||||||
| BELOW IS A SIMPLE 4 STEP FUNNEL | ||||||||||
| FREE PLUS SHIPPING | R.O.A.S. | Return On Ad Spend | 2:1 | $2 Income/$1 Spend | ||||||
| A.O.V | Average Order Value | |||||||||
| 1.)Shipping Info | A.C.V | Average Cart Value | ||||||||
| 2.)PURCHASE $9.99 or ($54.95) | L.T.V. | Lifetime Value | ||||||||
| 3.)Order Bump $37 | M.R.R. | Monthly Recurring Revenue | ||||||||
| 4.) One Time Offer $47 | C.T.R | Click Trough Rate | ||||||||
| C.P.C | Cost Per Click | |||||||||
| SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER | C.P.A. | Cost Per Aquistion | ||||||||
| CTR | 0.04% | (Click Through Rate) | ||||||||
| CPC | $0.35 | (Cost Per Click) | ||||||||
| TOTAL CLICKS | 1000 | (LEADS) | ||||||||
| AD COST | $350.00 | |||||||||
| CPA | $2.86 | (Cost Per Aquisition) | ||||||||
| NUMBER OF VISITORS | 1000 | |||||||||
| PERCENTAGE ENTERED SHIPPING DETAILS | 15.00% | |||||||||
| TOTAL NUMBER OF CUSTOMERS TO STEP #2 | 150 | |||||||||
| PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2 | 3.50% | |||||||||
| TOTAL NUMBER OF BUYERS | 5.25 | |||||||||
| AVERAGE CART VALUE ($9.95 plus $54.94) | $22.33 | $117.23 | ||||||||
| PERCENTAGE OF BUYERS BUY ORDER BUMP | 10.20% | $37.00 | ||||||||
| TOTAL NUMBER OF BUYERS OF ORDER BUMP | 0.5355 | |||||||||
| AVERAGE CART VALUE AFTER ORDER BUMP | $42.14 | $22.57 | ||||||||
| PERCENTAGE OF BUYERS BUY ONE TIME OFFER | 11.00% | $47.00 | ||||||||
| TOTAL NUMBER OF ONE TIME OFFER BUYERS | 0.058905 | |||||||||
| TOTAL AVERAGE CART VALUE | $44.91 | $2.65 | ||||||||
| TOTAL REVENUE FROM CAMPAIGN | $142.45 | |||||||||
| TOTAL AD COST | $350.00 | |||||||||
| GROSS PROFIT | -$207.55 | |||||||||
| SO IF I ATTRACTED 5000 VISITORS/LEADS TO THIS OFFER | ||||||||||
| CTR | 0.01% | (Click Through Rate) | ||||||||
| CPC | $0.35 | (Cost Per Click) | ||||||||
| TOTAL CLICKS | 5000 | (LEADS) | ||||||||
| AD COST | $1,750.00 | |||||||||
| CPA | $2.86 | (Cost Per Aquisition) | INDUSTRY AVERAGE $5-$25/CPA | |||||||
| NUMBER OF VISITORS | 5000 | |||||||||
| PERCENTAGE ENTERED SHIPPING DETAILS | 15.00% | |||||||||
| TOTAL NUMBER OF CUSTOMERS TO STEP #2 | 750 | |||||||||
| PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2 | 3.50% | |||||||||
| TOTAL NUMBER OF BUYERS | 26.25 | |||||||||
| AVERAGE CART VALUE ($9.95 plus $54.94) | $22.33 | $586.16 | ||||||||
| PERCENTAGE OF BUYERS BUY ORDER BUMP | 10.20% | $37.00 | ||||||||
| TOTAL NUMBER OF BUYERS OF ORDER BUMP | 2.6775 | |||||||||
| AVERAGE CART VALUE AFTER ORDER BUMP | $121.40 | $325.04 | ||||||||
| PERCENTAGE OF BUYERS BUY ONE TIME OFFER | 11.00% | $47.00 | ||||||||
| TOTAL NUMBER OF ONE TIME OFFER BUYERS | 0.294525 | |||||||||
| TOTAL AVERAGE CART VALUE | $135.24 | $39.83 | ||||||||
| TOTAL REVENUE FROM CAMPAIGN | $951.04 | |||||||||
| TOTAL AD COST | $1,750.00 | |||||||||
| GROSS PROFIT | -$798.96 | |||||||||
| SO IF I ATTRACTED 10000 VISITORS/LEADS TO THIS OFFER | ||||||||||
| CTR | 0.00% | (Click Through Rate) | ||||||||
| CPC | $0.35 | (Cost Per Click) | ||||||||
| TOTAL CLICKS | 10000 | (LEADS) | ||||||||
| AD COST | $3,500.00 | |||||||||
| CPA | $2.86 | (Cost Per Aquisition) | ||||||||
| NUMBER OF VISITORS | 10000 | |||||||||
| PERCENTAGE ENTERED SHIPPING DETAILS | 15.00% | |||||||||
| TOTAL NUMBER OF CUSTOMERS TO STEP #2 | 1500 | |||||||||
| PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2 | 3.50% | |||||||||
| TOTAL NUMBER OF BUYERS | 52.50 | |||||||||
| AVERAGE CART VALUE ($9.95 plus $54.94) | $22.33 | $1,172.33 | ||||||||
| PERCENTAGE OF BUYERS BUY ORDER BUMP | 10.20% | $37.00 | ||||||||
| TOTAL NUMBER OF BUYERS OF ORDER BUMP | 5.355 | |||||||||
| AVERAGE CART VALUE AFTER ORDER BUMP | $220.47 | $1,180.59 | ||||||||
| PERCENTAGE OF BUYERS BUY ONE TIME OFFER | 11.00% | $47.00 | ||||||||
| TOTAL NUMBER OF ONE TIME OFFER BUYERS | 0.58905 | |||||||||
| TOTAL AVERAGE CART VALUE | $248.15 | $146.17 | ||||||||
| TOTAL REVENUE FROM CAMPAIGN | $2,499.09 | |||||||||
| TOTAL AD COST | $3,500.00 | |||||||||
| GROSS PROFIT | -$1,000.91 | |||||||||
Sheet6
Native allocated grid 968 rows × 28 columns; populated/merged region rendered through H14.
| AD C.P.A. | CART VALUE | ||||||
| AD # 1 | STEP 1 | STEP 2 | STEP 3 | STEP 4 | STEP 5 | AVERAGE AD C.P.A. | |
| $8.51 | Adderess | 2 Step | $8.74 | ||||
| AD #2 | 4.95 | 37 | 47 | AVERAGE CART VALUE | |||
| $6.01 | 54.95 | 1.) | 0 | ||||
| AD #3 | 2.) | $2.10 | |||||
| $8.21 | 3.) | $3.77 | |||||
| AD #4 | 4.) | $5.17 | |||||
| $12.21 | $0.00 | $59.90 | $37.00 | $47.00 | $0.00 | 5.) | $0.00 |
| Conv Rates | 15.60% | 3.50% | 10.20% | 11.00% | ACV TOTAL | $3.68 | |
| VISITORS/Buyers | 1000 | 5.46 | 0.55692 | 0.0612612 | 0 | ||
| 156 | |||||||
| CART TOTAL | $2.10 | $3.77 | $5.17 | $0.00 | |||
2 UPSELLS
Native allocated grid 1003 rows × 26 columns; populated/merged region rendered through F98.
| SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER | |||||
| CTR | 0.04% | (Click Through Rate) | |||
| CPC | $0.35 | (Cost Per Click) | |||
| TOTAL CLICKS | 1000 | (LEADS) | |||
| AD COST | $350.00 | ||||
| CPA | $2.86 | (Cost Per Aquisition) | |||
| NUMBER OF VISITORS | 1000 | TOTAL REVENUE | |||
| PERCENTAGE ENTERED SHIPPING DETAILS | 15.00% | ||||
| TOTAL NUMBER OF CUSTOMERS TO STEP #2 | 150 | ||||
| PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2 | 3.50% | ||||
| TOTAL NUMBER OF BUYERS | 5.25 | ||||
| AVERAGE CART VALUE ($9.95 plus $54.94) | $22.33 | $117.23 | |||
| PERCENTAGE OF BUYERS BUY ORDER BUMP | 10.20% | $37.00 | |||
| TOTAL NUMBER OF BUYERS OF ORDER BUMP | 0.5355 | ||||
| AVERAGE CART VALUE AFTER ORDER BUMP | $42.14 | $22.57 | |||
| PERCENTAGE OF BUYERS BUY ONE TIME OFFER | 11.00% | $47.00 | |||
| TOTAL NUMBER OF ONE TIME OFFER BUYERS | 0.06 | ||||
| AVERAGE CART VALUE AFTER ONE TIME OFFER | $44.91 | $2.65 | |||
| PERCENTAGE OF BUYERS BUY 2nd Upsell | 10.00% | $197.00 | |||
| TOTAL NUMBER OF 2nd Upsell Buyers | 0.0058905 | ||||
| TOTAL AVERAGE CART VALUE after 2nd Upsell | $46.07 | $1.16 | |||
| TOTAL REVENUE FROM CAMPAIGN | $143.61 | ||||
| TOTAL AD COST | $350.00 | ||||
| GROSS PROFIT | -$206.39 | ||||
| SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER | |||||
| CTR | 0.04% | (Click Through Rate) | |||
| CPC | $0.35 | (Cost Per Click) | |||
| TOTAL CLICKS | 1000 | (LEADS) | |||
| AD COST | $350.00 | ||||
| CPA | $2.86 | (Cost Per Aquisition) | |||
| NUMBER OF VISITORS | 1000 | TOTAL REVENUE | |||
| PERCENTAGE ENTERED SHIPPING DETAILS | 15.00% | ||||
| TOTAL NUMBER OF CUSTOMERS TO STEP #2 | 150 | ||||
| PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2 | 3.50% | ||||
| TOTAL NUMBER OF BUYERS | 5.25 | ||||
| AVERAGE CART VALUE ($9.95 plus $54.94) | $22.33 | $117.23 | |||
| PERCENTAGE OF BUYERS BUY ORDER BUMP | 17.00% | $37.00 | |||
| TOTAL NUMBER OF BUYERS OF ORDER BUMP | 0.8925 | ||||
| AVERAGE CART VALUE AFTER ORDER BUMP | $55.35 | $49.40 | |||
| PERCENTAGE OF BUYERS BUY ONE TIME OFFER | 21.50% | $47.00 | |||
| TOTAL NUMBER OF ONE TIME OFFER BUYERS | 0.19 | ||||
| AVERAGE CART VALUE AFTER ONE TIME OFFER | $64.37 | $12.35 | |||
| PERCENTAGE OF BUYERS BUY 2nd Upsell | 10.00% | $197.00 | |||
| TOTAL NUMBER OF 2nd Upsell Buyers | 0.01918875 | ||||
| TOTAL AVERAGE CART VALUE after 2nd Upsell | $68.15 | $3.78 | |||
| TOTAL REVENUE FROM CAMPAIGN | $182.77 | ||||
| TOTAL AD COST | $350.00 | ||||
| GROSS PROFIT | -$167.23 | ||||
WEBINAR TAIL
Native allocated grid 1003 rows × 26 columns; populated/merged region rendered through F50.
| WEBINAR ADDED | |||||
| SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER | |||||
| CTR | 0.00% | (Click Through Rate) | |||
| CPC | $0.35 | (Cost Per Click) | |||
| TOTAL CLICKS | 10000 | (LEADS) | |||
| AD COST | $3,500.00 | ||||
| CPA | $2.86 | (Cost Per Aquisition) | |||
| NUMBER OF VISITORS | 10000 | TOTAL REVENUE | |||
| PERCENTAGE ENTERED SHIPPING DETAILS | 15.00% | ||||
| TOTAL NUMBER OF CUSTOMERS TO STEP #2 | 1500 | ||||
| PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2 | 3.50% | ||||
| TOTAL NUMBER OF BUYERS | 52.50 | ||||
| AVERAGE CART VALUE ($9.95 plus $54.94) | $22.33 | $1,172.33 | |||
| PERCENTAGE OF BUYERS BUY ORDER BUMP | 17.00% | $37.00 | |||
| TOTAL NUMBER OF BUYERS OF ORDER BUMP | 8.925 | ||||
| AVERAGE CART VALUE AFTER ORDER BUMP | $352.56 | $3,146.55 | |||
| PERCENTAGE OF BUYERS BUY ONE TIME OFFER | 21.50% | $47.00 | |||
| TOTAL NUMBER OF ONE TIME OFFER BUYERS | 1.92 | ||||
| AVERAGE CART VALUE AFTER ONE TIME OFFER | $442.74 | $849.57 | |||
| PERCENTAGE OF BUYERS BUY 2nd Upsell | 10.00% | $197.00 | |||
| TOTAL NUMBER OF 2nd Upsell Buyers | 0.1918875 | ||||
| TOTAL AVERAGE CART VALUE after 2nd Upsell | $480.54 | $37.80 | |||
| PERCENTAGE OF BUYERS BUY WEBINAR | 4.50% | $2,000.00 | |||
| TOTAL NUMBER OF WEBINAR BUYERS | 0.0086349375 | ||||
| TOTAL AVERAGE CART VALUE after WEBINAR | $497.81 | $17.27 | |||
| TOTAL REVENUE FROM CAMPAIGN | $5,223.52 | ||||
| TOTAL AD COST | $3,500.00 | ||||
| GROSS PROFIT | $1,723.52 | ||||
Candle Business
Native allocated grid 997 rows × 26 columns; populated/merged region rendered through F47.
| SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER | |||||
| CTR | 0.04% | (Click Through Rate) | |||
| CPC | $0.35 | (Cost Per Click) | |||
| TOTAL CLICKS | 1000 | (LEADS) | |||
| AD COST | 68.45 | ||||
| CPA | $14.61 | (Cost Per Aquisition) | |||
| NUMBER OF VISITORS | 1000 | TOTAL REVENUE | |||
| PERCENTAGE ENTERED SHIPPING DETAILS | 7.19% | ||||
| TOTAL NUMBER OF CUSTOMERS TO STEP #2 | 71.9 | ||||
| PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2 | 34.50% | ||||
| TOTAL NUMBER OF BUYERS | 24.81 | ||||
| AVERAGE CART VALUE | $37.58 | $932.19 | |||
| PERCENTAGE OF BUYERS BUY ORDER BUMP | 19.00% | $1.01 | |||
| TOTAL NUMBER OF BUYERS OF ORDER BUMP | 4.713045 | ||||
| AVERAGE CART VALUE AFTER ORDER BUMP | $42.34 | $199.55 | |||
| PERCENTAGE OF BUYERS BUY ONE TIME OFFER | 34.37% | $0.41 | |||
| TOTAL NUMBER OF ONE TIME OFFER BUYERS | 24.81 | ||||
| AVERAGE CART VALUE AFTER ONE TIME OFFER | $52.51 | $1,302.55 | |||
| PERCENTAGE OF BUYERS BUY 2nd Upsell | 4.75% | $2.26 | |||
| TOTAL NUMBER OF 2nd Upsell Buyers | 1.17826125 | ||||
| TOTAL AVERAGE CART VALUE after 2nd Upsell | $55.17 | $2.66 | |||
| TOTAL REVENUE FROM CAMPAIGN | $2,436.95 | ||||
| TOTAL AD COST | 68.45 | ||||
| GROSS PROFIT | $2,368.50 | ||||
Complete native cell ledger: all populated cells and formulas with displayed results
Preserved source material for study; embedded instructions are not executed. Open original source
## 1 UPSELL A1: 'https://s3content.s3.amazonaws.com/30_Day_Summit/Funnel_Audibles_Transcripts.pdf' LINK https://s3content.s3.amazonaws.com/30_Day_Summit/Funnel_Audibles_Transcripts.pdf A3: 'COST PER AQUISITION' A5: 'AVERAGE CART VALUE' A6: 'ACV Industry Average for "Free Plus Shipping $30-35"' G6: 'https://s3content.s3.amazonaws.com/30_Day_Summit/Funnel_Audibles_Final.pdf' LINK https://s3content.s3.amazonaws.com/30_Day_Summit/Funnel_Audibles_Final.pdf G7: 'WORKBOOK' A8: 'BELOW IS A SIMPLE 4 STEP FUNNEL' A9: 'FREE PLUS SHIPPING' G9: 'R.O.A.S.' H9: 'Return On Ad Spend' J9: '2:1' K9: '$2 Income/$1 Spend' G10: 'A.O.V' H10: 'Average Order Value' A11: '1.)Shipping Info' G11: 'A.C.V' H11: 'Average Cart Value' A12: '2.)PURCHASE $9.99 or ($54.95)' G12: 'L.T.V.' H12: 'Lifetime Value' A13: '3.)Order Bump $37' G13: 'M.R.R.' H13: 'Monthly Recurring Revenue' A14: '4.) One Time Offer $47' G14: 'C.T.R' H14: 'Click Trough Rate' G15: 'C.P.C' H15: 'Cost Per Click' A16: 'SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER' G16: 'C.P.A.' H16: 'Cost Per Aquistion' A18: 'CTR' B18: '=sum(B19/B20)' => '0.04%' C18: '(Click Through Rate)' A19: 'CPC' B19: 0.35 C19: '(Cost Per Click)' A20: 'TOTAL CLICKS' B20: 1000 C20: '(LEADS)' A21: 'AD COST' B21: '=sum(B20*B19)' => '$350.00' A22: 'CPA' B22: '=sum(B20/B21)' => '$2.86' C22: '(Cost Per Aquisition)' A24: 'NUMBER OF VISITORS' D24: '=sum(B20)' => '1000' A25: 'PERCENTAGE ENTERED SHIPPING DETAILS' D25: 0.15 A26: 'TOTAL NUMBER OF CUSTOMERS TO STEP #2' D26: '=sum(D24*D25)' => '150' A27: 'PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2' D27: 0.035 A28: 'TOTAL NUMBER OF BUYERS' D28: '=sum(D26*D27)' => '5.25' A29: 'AVERAGE CART VALUE ($9.95 plus $54.94)' D29: 22.33 F29: '=sum(D28*D29)' => '$117.23' A30: 'PERCENTAGE OF BUYERS BUY ORDER BUMP' D30: 0.102 E30: 37 A31: 'TOTAL NUMBER OF BUYERS OF ORDER BUMP' D31: '=sum(D28*D30)' => '0.5355' A32: 'AVERAGE CART VALUE AFTER ORDER BUMP' D32: '=sum(D31*E30)+D29' => '$42.14' F32: '=sum(D31*D32)' => '$22.57' A33: 'PERCENTAGE OF BUYERS BUY ONE TIME OFFER' D33: 0.11 E33: 47 A34: 'TOTAL NUMBER OF ONE TIME OFFER BUYERS' D34: '=sum(D31*D33)' => '0.058905' A35: 'TOTAL AVERAGE CART VALUE' D35: '=sum(D34*E33)+D32' => '$44.91' F35: '=sum(D34*D35)' => '$2.65' A36: 'TOTAL REVENUE FROM CAMPAIGN' F36: '=sum(F29+F32+F35)' => '$142.45' A37: 'TOTAL AD COST' F37: '=sum(B21)' => '$350.00' A38: 'GROSS PROFIT' F38: '=sum(F36-F37)' => '-$207.55' A41: 'SO IF I ATTRACTED 5000 VISITORS/LEADS TO THIS OFFER' A43: 'CTR' B43: '=sum(B44/B45)' => '0.01%' C43: '(Click Through Rate)' A44: 'CPC' B44: 0.35 C44: '(Cost Per Click)' A45: 'TOTAL CLICKS' B45: 5000 C45: '(LEADS)' A46: 'AD COST' B46: '=sum(B45*B44)' => '$1,750.00' A47: 'CPA' B47: '=sum(B45/B46)' => '$2.86' C47: '(Cost Per Aquisition)' E47: 'INDUSTRY AVERAGE $5-$25/CPA' A49: 'NUMBER OF VISITORS' D49: '=sum(B45)' => '5000' A50: 'PERCENTAGE ENTERED SHIPPING DETAILS' D50: 0.15 A51: 'TOTAL NUMBER OF CUSTOMERS TO STEP #2' D51: '=sum(D49*D50)' => '750' A52: 'PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2' D52: 0.035 A53: 'TOTAL NUMBER OF BUYERS' D53: '=sum(D51*D52)' => '26.25' A54: 'AVERAGE CART VALUE ($9.95 plus $54.94)' D54: 22.33 F54: '=sum(D53*D54)' => '$586.16' A55: 'PERCENTAGE OF BUYERS BUY ORDER BUMP' D55: 0.102 E55: 37 A56: 'TOTAL NUMBER OF BUYERS OF ORDER BUMP' D56: '=sum(D53*D55)' => '2.6775' A57: 'AVERAGE CART VALUE AFTER ORDER BUMP' D57: '=sum(D56*E55)+D54' => '$121.40' F57: '=sum(D56*D57)' => '$325.04' A58: 'PERCENTAGE OF BUYERS BUY ONE TIME OFFER' D58: 0.11 E58: 47 A59: 'TOTAL NUMBER OF ONE TIME OFFER BUYERS' D59: '=sum(D56*D58)' => '0.294525' A60: 'TOTAL AVERAGE CART VALUE' D60: '=sum(D59*E58)+D57' => '$135.24' F60: '=sum(D59*D60)' => '$39.83' A61: 'TOTAL REVENUE FROM CAMPAIGN' F61: '=sum(F54+F57+F60)' => '$951.04' A62: 'TOTAL AD COST' F62: '=sum(B46)' => '$1,750.00' A63: 'GROSS PROFIT' F63: '=sum(F61-F62)' => '-$798.96' A67: 'SO IF I ATTRACTED 10000 VISITORS/LEADS TO THIS OFFER' A69: 'CTR' B69: '=sum(B70/B71)' => '0.00%' C69: '(Click Through Rate)' A70: 'CPC' B70: 0.35 C70: '(Cost Per Click)' A71: 'TOTAL CLICKS' B71: 10000 C71: '(LEADS)' A72: 'AD COST' B72: '=sum(B71*B70)' => '$3,500.00' A73: 'CPA' B73: '=sum(B71/B72)' => '$2.86' C73: '(Cost Per Aquisition)' A75: 'NUMBER OF VISITORS' D75: '=sum(B71)' => '10000' A76: 'PERCENTAGE ENTERED SHIPPING DETAILS' D76: 0.15 A77: 'TOTAL NUMBER OF CUSTOMERS TO STEP #2' D77: '=sum(D75*D76)' => '1500' A78: 'PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2' D78: 0.035 A79: 'TOTAL NUMBER OF BUYERS' D79: '=sum(D77*D78)' => '52.50' A80: 'AVERAGE CART VALUE ($9.95 plus $54.94)' D80: 22.33 F80: '=sum(D79*D80)' => '$1,172.33' A81: 'PERCENTAGE OF BUYERS BUY ORDER BUMP' D81: 0.102 E81: 37 A82: 'TOTAL NUMBER OF BUYERS OF ORDER BUMP' D82: '=sum(D79*D81)' => '5.355' A83: 'AVERAGE CART VALUE AFTER ORDER BUMP' D83: '=sum(D82*E81)+D80' => '$220.47' F83: '=sum(D82*D83)' => '$1,180.59' A84: 'PERCENTAGE OF BUYERS BUY ONE TIME OFFER' D84: 0.11 E84: 47 A85: 'TOTAL NUMBER OF ONE TIME OFFER BUYERS' D85: '=sum(D82*D84)' => '0.58905' A86: 'TOTAL AVERAGE CART VALUE' D86: '=sum(D85*E84)+D83' => '$248.15' F86: '=sum(D85*D86)' => '$146.17' A87: 'TOTAL REVENUE FROM CAMPAIGN' F87: '=sum(F80+F83+F86)' => '$2,499.09' A88: 'TOTAL AD COST' F88: '=sum(B72)' => '$3,500.00' A89: 'GROSS PROFIT' F89: '=sum(F87-F88)' => '-$1,000.91' ## Sheet6 A2: 'AD C.P.A.' B2: 'CART VALUE' A3: 'AD # 1' B3: 'STEP 1' C3: 'STEP 2' D3: 'STEP 3' E3: 'STEP 4' F3: 'STEP 5' G3: 'AVERAGE AD C.P.A.' A4: 8.51 B4: 'Adderess' C4: '2 Step' G4: '=sum(A4+A6+A8+A10)/4' => '$8.74' A5: 'AD #2' C5: 4.95 D5: 37 E5: 47 G5: 'AVERAGE CART VALUE' A6: 6.01 C6: 54.95 G6: '1.)' H6: '=sum(B14)' => '0' A7: 'AD #3' G7: '2.)' H7: '=sum(C14)' => '$2.10' A8: 8.21 G8: '3.)' H8: '=sum(D14)' => '$3.77' A9: 'AD #4' G9: '4.)' H9: '=sum(E14)' => '$5.17' A10: 12.21 B10: '=sum(B4:B9)' => '$0.00' C10: '=sum(C4:C9)' => '$59.90' D10: '=sum(D4:D9)' => '$37.00' E10: '=sum(E4:E9)' => '$47.00' F10: '=sum(F4:F9)' => '$0.00' G10: '5.)' H10: '=sum(F14)' => '$0.00' A11: 'Conv Rates' B11: 0.156 C11: 0.035 D11: 0.102 E11: 0.11 G11: 'ACV TOTAL' H11: '=sum(H7:H9)/3' => '$3.68' A12: 'VISITORS/Buyers' B12: 1000 C12: '=sum(B13*C11)' => '5.46' D12: '=sum(C12*D11)' => '0.55692' E12: '=sum(D12*E11)' => '0.0612612' F12: '=sum(E13*F11)' => '0' B13: '=sum(B11*B12)' => '156' A14: 'CART TOTAL' C14: '=sum(C10*C11)' => '$2.10' D14: '=sum(D10*D11)' => '$3.77' E14: '=sum(E10*E11)' => '$5.17' F14: '=sum(F10*F12)' => '$0.00' ## 2 UPSELLS A22: 'SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER' A24: 'CTR' B24: '=sum(B25/B26)' => '0.04%' C24: '(Click Through Rate)' A25: 'CPC' B25: 0.35 C25: '(Cost Per Click)' A26: 'TOTAL CLICKS' B26: 1000 C26: '(LEADS)' A27: 'AD COST' B27: '=sum(B26*B25)' => '$350.00' A28: 'CPA' B28: '=sum(B26/B27)' => '$2.86' C28: '(Cost Per Aquisition)' A30: 'NUMBER OF VISITORS' D30: '=sum(B26)' => '1000' F30: 'TOTAL REVENUE' A31: 'PERCENTAGE ENTERED SHIPPING DETAILS' D31: 0.15 A32: 'TOTAL NUMBER OF CUSTOMERS TO STEP #2' D32: '=sum(D30*D31)' => '150' A33: 'PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2' D33: 0.035 A34: 'TOTAL NUMBER OF BUYERS' D34: '=sum(D32*D33)' => '5.25' A35: 'AVERAGE CART VALUE ($9.95 plus $54.94)' D35: 22.33 F35: '=sum(D34*D35)' => '$117.23' A36: 'PERCENTAGE OF BUYERS BUY ORDER BUMP' D36: 0.102 E36: 37 A37: 'TOTAL NUMBER OF BUYERS OF ORDER BUMP' D37: '=sum(D34*D36)' => '0.5355' A38: 'AVERAGE CART VALUE AFTER ORDER BUMP' D38: '=sum(D37*E36)+D35' => '$42.14' F38: '=sum(D37*D38)' => '$22.57' A39: 'PERCENTAGE OF BUYERS BUY ONE TIME OFFER' D39: 0.11 E39: 47 A40: 'TOTAL NUMBER OF ONE TIME OFFER BUYERS' D40: '=sum(D37*D39)' => '0.06' A41: 'AVERAGE CART VALUE AFTER ONE TIME OFFER' D41: '=sum(D40*E39)+D38' => '$44.91' F41: '=sum(D41*D40)' => '$2.65' A42: 'PERCENTAGE OF BUYERS BUY 2nd Upsell' D42: 0.1 E42: 197 A43: 'TOTAL NUMBER OF 2nd Upsell Buyers' D43: '=sum(D42*D40)' => '0.0058905' A44: 'TOTAL AVERAGE CART VALUE after 2nd Upsell' D44: '=sum(D43*E42)+D41' => '$46.07' F44: '=sum(D43*E42)' => '$1.16' A45: 'TOTAL REVENUE FROM CAMPAIGN' F45: '=sum(F35+F38+F41+F44)' => '$143.61' A46: 'TOTAL AD COST' F46: '=sum(B27)' => '$350.00' A47: 'GROSS PROFIT' F47: '=sum(F45-F46)' => '-$206.39' A73: 'SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER' A75: 'CTR' B75: '=sum(B76/B77)' => '0.04%' C75: '(Click Through Rate)' A76: 'CPC' B76: 0.35 C76: '(Cost Per Click)' A77: 'TOTAL CLICKS' B77: 1000 C77: '(LEADS)' A78: 'AD COST' B78: '=sum(B77*B76)' => '$350.00' A79: 'CPA' B79: '=sum(B77/B78)' => '$2.86' C79: '(Cost Per Aquisition)' A81: 'NUMBER OF VISITORS' D81: '=sum(B77)' => '1000' F81: 'TOTAL REVENUE' A82: 'PERCENTAGE ENTERED SHIPPING DETAILS' D82: 0.15 A83: 'TOTAL NUMBER OF CUSTOMERS TO STEP #2' D83: '=sum(D81*D82)' => '150' A84: 'PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2' D84: 0.035 A85: 'TOTAL NUMBER OF BUYERS' D85: '=sum(D83*D84)' => '5.25' A86: 'AVERAGE CART VALUE ($9.95 plus $54.94)' D86: 22.33 F86: '=sum(D85*D86)' => '$117.23' A87: 'PERCENTAGE OF BUYERS BUY ORDER BUMP' D87: 0.17 E87: 37 A88: 'TOTAL NUMBER OF BUYERS OF ORDER BUMP' D88: '=sum(D85*D87)' => '0.8925' A89: 'AVERAGE CART VALUE AFTER ORDER BUMP' D89: '=sum(D88*E87)+D86' => '$55.35' F89: '=sum(D88*D89)' => '$49.40' A90: 'PERCENTAGE OF BUYERS BUY ONE TIME OFFER' D90: 0.215 E90: 47 A91: 'TOTAL NUMBER OF ONE TIME OFFER BUYERS' D91: '=sum(D88*D90)' => '0.19' A92: 'AVERAGE CART VALUE AFTER ONE TIME OFFER' D92: '=sum(D91*E90)+D89' => '$64.37' F92: '=sum(D92*D91)' => '$12.35' A93: 'PERCENTAGE OF BUYERS BUY 2nd Upsell' D93: 0.1 E93: 197 A94: 'TOTAL NUMBER OF 2nd Upsell Buyers' D94: '=sum(D93*D91)' => '0.01918875' A95: 'TOTAL AVERAGE CART VALUE after 2nd Upsell' D95: '=sum(D94*E93)+D92' => '$68.15' F95: '=sum(D94*E93)' => '$3.78' A96: 'TOTAL REVENUE FROM CAMPAIGN' F96: '=sum(F86+F89+F92+F95)' => '$182.77' A97: 'TOTAL AD COST' F97: '=sum(B78)' => '$350.00' A98: 'GROSS PROFIT' F98: '=sum(F96-F97)' => '-$167.23' ## WEBINAR TAIL A2: 'WEBINAR ADDED' A22: 'SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER' A24: 'CTR' B24: '=sum(B25/B26)' => '0.00%' C24: '(Click Through Rate)' A25: 'CPC' B25: 0.35 C25: '(Cost Per Click)' A26: 'TOTAL CLICKS' B26: 10000 C26: '(LEADS)' A27: 'AD COST' B27: '=sum(B26*B25)' => '$3,500.00' A28: 'CPA' B28: '=sum(B26/B27)' => '$2.86' C28: '(Cost Per Aquisition)' A30: 'NUMBER OF VISITORS' D30: '=sum(B26)' => '10000' F30: 'TOTAL REVENUE' A31: 'PERCENTAGE ENTERED SHIPPING DETAILS' D31: 0.15 A32: 'TOTAL NUMBER OF CUSTOMERS TO STEP #2' D32: '=sum(D30*D31)' => '1500' A33: 'PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2' D33: 0.035 A34: 'TOTAL NUMBER OF BUYERS' D34: '=sum(D32*D33)' => '52.50' A35: 'AVERAGE CART VALUE ($9.95 plus $54.94)' D35: 22.33 F35: '=sum(D34*D35)' => '$1,172.33' A36: 'PERCENTAGE OF BUYERS BUY ORDER BUMP' D36: 0.17 E36: 37 A37: 'TOTAL NUMBER OF BUYERS OF ORDER BUMP' D37: '=sum(D34*D36)' => '8.925' A38: 'AVERAGE CART VALUE AFTER ORDER BUMP' D38: '=sum(D37*E36)+D35' => '$352.56' F38: '=sum(D37*D38)' => '$3,146.55' A39: 'PERCENTAGE OF BUYERS BUY ONE TIME OFFER' D39: 0.215 E39: 47 A40: 'TOTAL NUMBER OF ONE TIME OFFER BUYERS' D40: '=sum(D37*D39)' => '1.92' A41: 'AVERAGE CART VALUE AFTER ONE TIME OFFER' D41: '=sum(D40*E39)+D38' => '$442.74' F41: '=sum(D41*D40)' => '$849.57' A42: 'PERCENTAGE OF BUYERS BUY 2nd Upsell' D42: 0.1 E42: 197 A43: 'TOTAL NUMBER OF 2nd Upsell Buyers' D43: '=sum(D42*D40)' => '0.1918875' A44: 'TOTAL AVERAGE CART VALUE after 2nd Upsell' D44: '=sum(D43*E42)+D41' => '$480.54' F44: '=sum(D43*E42)' => '$37.80' A45: 'PERCENTAGE OF BUYERS BUY WEBINAR' D45: 0.045 E45: 2000 A46: 'TOTAL NUMBER OF WEBINAR BUYERS' D46: '=sum(D45*D43)' => '0.0086349375' A47: 'TOTAL AVERAGE CART VALUE after WEBINAR' D47: '=sum(D46*E45)+D44' => '$497.81' F47: '=sum(D46*E45)' => '$17.27' A48: 'TOTAL REVENUE FROM CAMPAIGN' F48: '=sum(F35+F38+F41+F44+F47)' => '$5,223.52' A49: 'TOTAL AD COST' F49: '=sum(B27)' => '$3,500.00' A50: 'GROSS PROFIT' F50: '=sum(F48-F49)' => '$1,723.52' ## Candle Business A22: 'SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER' A24: 'CTR' B24: '=sum(B25/B26)' => '0.04%' C24: '(Click Through Rate)' A25: 'CPC' B25: 0.35 C25: '(Cost Per Click)' A26: 'TOTAL CLICKS' B26: 1000 C26: '(LEADS)' A27: 'AD COST' B27: 68.45 A28: 'CPA' B28: '=sum(B26/B27)' => '$14.61' C28: '(Cost Per Aquisition)' A30: 'NUMBER OF VISITORS' D30: '=sum(B26)' => '1000' F30: 'TOTAL REVENUE' A31: 'PERCENTAGE ENTERED SHIPPING DETAILS' D31: 0.0719 A32: 'TOTAL NUMBER OF CUSTOMERS TO STEP #2' D32: '=sum(D30*D31)' => '71.9' A33: 'PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2' D33: 0.345 A34: 'TOTAL NUMBER OF BUYERS' D34: '=sum(D32*D33)' => '24.81' A35: 'AVERAGE CART VALUE ' D35: 37.58 F35: '=sum(D34*D35)' => '$932.19' A36: 'PERCENTAGE OF BUYERS BUY ORDER BUMP' D36: 0.19 E36: 1.01 A37: 'TOTAL NUMBER OF BUYERS OF ORDER BUMP' D37: '=sum(D34*D36)' => '4.713045' A38: 'AVERAGE CART VALUE AFTER ORDER BUMP' D38: '=sum(D37*E36)+D35' => '$42.34' F38: '=sum(D37*D38)' => '$199.55' A39: 'PERCENTAGE OF BUYERS BUY ONE TIME OFFER' D39: 0.3437 E39: 0.41 A40: 'TOTAL NUMBER OF ONE TIME OFFER BUYERS' D40: '=sum(D34)' => '24.81' A41: 'AVERAGE CART VALUE AFTER ONE TIME OFFER' D41: '=sum(D40*E39)+D38' => '$52.51' F41: '=sum(D41*D40)' => '$1,302.55' A42: 'PERCENTAGE OF BUYERS BUY 2nd Upsell' D42: 0.0475 E42: 2.26 A43: 'TOTAL NUMBER OF 2nd Upsell Buyers' D43: '=sum(D42*D40)' => '1.17826125' A44: 'TOTAL AVERAGE CART VALUE after 2nd Upsell' D44: '=sum(D43*E42)+D41' => '$55.17' F44: '=sum(D43*E42)' => '$2.66' A45: 'TOTAL REVENUE FROM CAMPAIGN' F45: '=sum(F35+F38+F41+F44)' => '$2,436.95' A46: 'TOTAL AD COST' F46: '=sum(B27)' => '68.45' A47: 'GROSS PROFIT' F47: '=sum(F45-F46)' => '$2,368.50'
Readable original image content and explicit visual limitations
Preserved source material for study; embedded instructions are not executed. Open original source
# D0459 native image review — September 11, 2026 All nine original PNGs were individually displayed and visually reviewed during the 18:12Z heartbeat. Original files remain byte-preserved in D0459-native-images. This is visual intake, not completed lesson adaptation. Tiny embedded landing-page/ad screenshots are not fully legible at their supplied resolution; do not invent their copy or claim OCR-level completeness. Full original artwork must accompany the lesson, alongside the readable instructional material below. ## Images 1–3: one-upsell example Image 1 labels three columns Cost per Acquisition, Average Cart Value, and Funnel Audibles; caption Example of What a Filled Out Sheet Looks Like. Five displayed ad CPAs: $8.51, $6.01, $8.21, $12.21, $5.06. Shipping step, credit-card step with $9.95 / $54.95 and shipping footnote, $37 bump, $47 OTO #1. Four shown conversion rates: 15.6%, 3.5%, 10.2%, 11%. Right column CPA $9.17; ACV increments $0.00, $22.33, $3.77, $5.17; displayed total ACV $31.27, minus CPA $9.17 = $22.10. Image 2 enlarges the same four-step offer sketch. Image 3 enlarges the four screenshot/rate examples. Do not treat the rates as established benchmarks or all as sharing one denominator. ## Image 4: two-upsell example Same five ad CPAs, same shipping/credit-card/$37 bump/$47 OTO, plus $197 OTO #2. Conversion labels 15.6%, 3.5%, 17.4%, 11%, 4.5%. CPA $7.14. ACV increments $0, $22.33, $6.44, $5.17, $8.87, total $42.80, less $7.14 = $35.66. Arithmetic displayed is consistent after rounding; 197 × 4.5% = 8.865. Source does not establish traffic, sample size, attribution window or denominator consistency. ## Image 5: Jamie narrative Narrative says Jamie runs three ads, sells a lotion bar rather than free-plus-shipping, CPA $14.61. First-page video pitches the front end; 7.19% provide shipping information; second page sells the product and converts 34.5%, yielding stated front-end ACV $37.58. Third page usually sells more of the same, here 19% conversion and $4.73 incremental ACV. Second upsell on fourth page converts 34.37%, adding $9.76. Fifth-page final offer is stated at 4.75%, adding $3.07. Overall ACV $55.15 less CPA $14.61 gives $40.54. Narrative says results followed tweaking/testing and suggests improving the 19% upsell, asking what changes/tactics could improve it and brainstorming freely. Explicit conflicts: narrative says three ads but images 6/8 show four CPA examples. Narrative final conversion 4.75% conflicts with diagram 4.25%. Stated increments 37.58+4.73+9.76+3.07 total $55.14, one cent below displayed $55.15 (possibly underlying rounding; not established). ACV less acquisition cost is not net profit: fulfillment, goods, fees, refunds, overhead and tax are not deducted. The narrative's broad claim that more-of-the-same upsells work for all ecommerce is unsupported. ## Images 6 and 8: Jamie diagram variants Two supplied versions of same five-step lotion-bar funnel. Four ad CPAs $10.87, $12.76 (line-wrapped), $19.50, $15.29. Funnel audibles CPA $14.61, ACV increments 0/37.58/4.73/9.76/3.07, total $55.15, subtraction $40.54. Conversion labels 7.19%,34.5%,19%,34.37%,4.25%. Upsell sketches show WAIT, option prices $39/$49 then $49/$24; last sketch BEFORE YOU LEAVE / ADD TO ORDER. Tiny credit-card offer text and actual screenshot body copy are not fully readable; preserve both original images rather than reconstructing missing text. Images are separate originals, not assumed byte duplicates. ## Image 7: asserted benchmark list - Lead opt-ins >20%. - Two-step opt-ins >10–15%. - Tripwire sales conversion >1–5%. - Order bump conversion >20%. - OTO/downsell conversions >3–15%. - Webinar show-up LIVE >10–20%. - Webinar show-up AUTO >50–80%. - Webinar buy rate hot traffic LIVE >10%. - Webinar buy rate cold traffic LIVE >1–5%. - Webinar buy rate AUTO >3–8%. These are source assertions, not verified universal standards. Preserve their unusual greater-than-plus-range notation while explaining that test targets require denominator, segment, traffic source, sample size, window and economics. ## Image 9: changed conversion and CPA Shipping/credit-card/$37 bump/$47 OTO/$197 OTO diagram; ad CPA examples again $8.51/$6.01/$8.21/$12.21/$5.06. Rates 15.6%,3.5%,17.4%,21.5%,4.5%. New CPA $23.79, total ACV $47.55, displayed residual $23.76. Right ACV increments visible: 0,22.33,6.44,9.92,8.87. The prose attributes improved OTO conversion from 11% to21.5% (almost doubled) to simplifying presentation and making it as free as possible/easy to follow; explicitly notes CPA also rose. Do not imply causal proof. Also 47×21.5%=10.105, not9.92; displayed increments sum47.56 not47.55. Do not silently correct original. Compare image4 residual35.66 to image9 residual23.76: higher headline conversion/ACV can coexist with lower acquisition contribution. The source provides no costs/sample information proving profitability. ## Still required Compare all484 populated cells and147 formulas with native Google Sheet values; retain all160 merged regions and9 image anchors. Resolve image/cell discrepancies explicitly. Read all source Markdown and image-bearing workbook content together, write teaching and full source appendices, preserve original XLSX and PNGs, link applicable sources, and verify every assigned GHL placement. No D0459 adaptation count is earned by this review.
Complete local source copy including original filing metadata and formatting
Preserved source material for study; embedded instructions are not executed. Open original source
--- source_type: "Google Sheet" source_url: "https://docs.google.com/spreadsheets/d/10Y1i8CsbQielLeeQ0gZFECCeN38zUs68L5O6rBUZkaM/edit?usp=drivesdk" drive_file_id: "10Y1i8CsbQielLeeQ0gZFECCeN38zUs68L5O6rBUZkaM" created: "2024-04-22T00:35:25.649Z" modified: "2026-06-04T16:41:09.472Z" --- # Copy of Average Cart Value ,https://s3content.s3.amazonaws.com/30_Day_Summit/Funnel_Audibles_Transcripts.pdf,Unnamed: 1,Unnamed: 2,Unnamed: 3,Unnamed: 4,Unnamed: 5,Unnamed: 6,Unnamed: 7,Unnamed: 8,Unnamed: 9,Unnamed: 10 0,,,,,,,,,,, 1,COST PER AQUISITION,,,,,,,,,, 2,,,,,,,,,,, 3,AVERAGE CART VALUE,,,,,,,,,, 4,"ACV Industry Average for ""Free Plus Shipping $30-35""",,,,,,https://s3content.s3.amazonaws.com/30_Day_Summit/Funnel_Audibles_Final.pdf,,,, 5,,,,,,,WORKBOOK,,,, 6,BELOW IS A SIMPLE 4 STEP FUNNEL,,,,,,,,,, 7,FREE PLUS SHIPPING,,,,,,R.O.A.S.,Return On Ad Spend,,2:1,$2 Income/$1 Spend 8,,,,,,,A.O.V,Average Order Value,,, 9,1.)Shipping Info,,,,,,A.C.V,Average Cart Value,,, 10,2.)PURCHASE $9.99 or ($54.95),,,,,,L.T.V.,Lifetime Value,,, 11,3.)Order Bump $37,,,,,,M.R.R.,Monthly Recurring Revenue,,, 12,4.) One Time Offer $47,,,,,,C.T.R,Click Trough Rate,,, 13,,,,,,,C.P.C,Cost Per Click,,, 14,SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER,,,,,,C.P.A.,Cost Per Aquistion,,, 15,,,,,,,,,,, 16,CTR,0.00035,(Click Through Rate),,,,,,,, 17,CPC,0.35,(Cost Per Click),,,,,,,, 18,TOTAL CLICKS,1000,(LEADS),,,,,,,, 19,AD COST,350,,,,,,,,, 20,CPA,2.857142857,(Cost Per Aquisition),,,,,,,, 21,,,,,,,,,,, 22,NUMBER OF VISITORS,,,1000,,,,,,, 23,PERCENTAGE ENTERED SHIPPING DETAILS,,,0.15,,,,,,, 24,TOTAL NUMBER OF CUSTOMERS TO STEP #2,,,150,,,,,,, 25,PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2,,,0.035,,,,,,, 26,TOTAL NUMBER OF BUYERS,,,5.25,,,,,,, 27,AVERAGE CART VALUE ($9.95 plus $54.94),,,22.33,,117.2325,,,,, 28,PERCENTAGE OF BUYERS BUY ORDER BUMP,,,0.102,37,,,,,, 29,TOTAL NUMBER OF BUYERS OF ORDER BUMP,,,0.5355,,,,,,, 30,AVERAGE CART VALUE AFTER ORDER BUMP,,,42.1435,,22.56784425,,,,, 31,PERCENTAGE OF BUYERS BUY ONE TIME OFFER,,,0.11,47,,,,,, 32,TOTAL NUMBER OF ONE TIME OFFER BUYERS,,,0.058905,,,,,,, 33,TOTAL AVERAGE CART VALUE,,,44.912035,,2.645543422,,,,, 34,TOTAL REVENUE FROM CAMPAIGN,,,,,142.4458877,,,,, 35,TOTAL AD COST,,,,,350,,,,, 36,GROSS PROFIT,,,,,-207.5541123,,,,, 37,,,,,,,,,,, 38,,,,,,,,,,, 39,SO IF I ATTRACTED 5000 VISITORS/LEADS TO THIS OFFER,,,,,,,,,, 40,,,,,,,,,,, 41,CTR,7e-05,(Click Through Rate),,,,,,,, 42,CPC,0.35,(Cost Per Click),,,,,,,, 43,TOTAL CLICKS,5000,(LEADS),,,,,,,, 44,AD COST,1750,,,,,,,,, 45,CPA,2.857142857,(Cost Per Aquisition),,INDUSTRY AVERAGE $5-$25/CPA,,,,,, 46,,,,,,,,,,, 47,NUMBER OF VISITORS,,,5000,,,,,,, 48,PERCENTAGE ENTERED SHIPPING DETAILS,,,0.15,,,,,,, 49,TOTAL NUMBER OF CUSTOMERS TO STEP #2,,,750,,,,,,, 50,PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2,,,0.035,,,,,,, 51,TOTAL NUMBER OF BUYERS,,,26.25,,,,,,, 52,AVERAGE CART VALUE ($9.95 plus $54.94),,,22.33,,586.1625,,,,, 53,PERCENTAGE OF BUYERS BUY ORDER BUMP,,,0.102,37,,,,,, 54,TOTAL NUMBER OF BUYERS OF ORDER BUMP,,,2.6775,,,,,,, 55,AVERAGE CART VALUE AFTER ORDER BUMP,,,121.3975,,325.0418063,,,,, 56,PERCENTAGE OF BUYERS BUY ONE TIME OFFER,,,0.11,47,,,,,, 57,TOTAL NUMBER OF ONE TIME OFFER BUYERS,,,0.294525,,,,,,, 58,TOTAL AVERAGE CART VALUE,,,135.240175,,39.83161254,,,,, 59,TOTAL REVENUE FROM CAMPAIGN,,,,,951.0359188,,,,, 60,TOTAL AD COST,,,,,1750,,,,, 61,GROSS PROFIT,,,,,-798.9640812,,,,, 62,,,,,,,,,,, 63,,,,,,,,,,, 64,,,,,,,,,,, 65,SO IF I ATTRACTED 10000 VISITORS/LEADS TO THIS OFFER,,,,,,,,,, 66,,,,,,,,,,, 67,CTR,3.5e-05,(Click Through Rate),,,,,,,, 68,CPC,0.35,(Cost Per Click),,,,,,,, 69,TOTAL CLICKS,10000,(LEADS),,,,,,,, 70,AD COST,3500,,,,,,,,, 71,CPA,2.857142857,(Cost Per Aquisition),,,,,,,, 72,,,,,,,,,,, 73,NUMBER OF VISITORS,,,10000,,,,,,, 74,PERCENTAGE ENTERED SHIPPING DETAILS,,,0.15,,,,,,, 75,TOTAL NUMBER OF CUSTOMERS TO STEP #2,,,1500,,,,,,, 76,PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2,,,0.035,,,,,,, 77,TOTAL NUMBER OF BUYERS,,,52.5,,,,,,, 78,AVERAGE CART VALUE ($9.95 plus $54.94),,,22.33,,1172.325,,,,, 79,PERCENTAGE OF BUYERS BUY ORDER BUMP,,,0.102,37,,,,,, 80,TOTAL NUMBER OF BUYERS OF ORDER BUMP,,,5.355,,,,,,, 81,AVERAGE CART VALUE AFTER ORDER BUMP,,,220.465,,1180.590075,,,,, 82,PERCENTAGE OF BUYERS BUY ONE TIME OFFER,,,0.11,47,,,,,, 83,TOTAL NUMBER OF ONE TIME OFFER BUYERS,,,0.58905,,,,,,, 84,TOTAL AVERAGE CART VALUE,,,248.15035,,146.1729637,,,,, 85,TOTAL REVENUE FROM CAMPAIGN,,,,,2499.088039,,,,, 86,TOTAL AD COST,,,,,3500,,,,, 87,GROSS PROFIT,,,,,-1000.911961,,,,, ,Unnamed: 0,Unnamed: 1,Unnamed: 2,Unnamed: 3,Unnamed: 4,Unnamed: 5,Unnamed: 6,Unnamed: 7 0,AD C.P.A.,CART VALUE,,,,,, 1,AD # 1,STEP 1,STEP 2,STEP 3,STEP 4,STEP 5,AVERAGE AD C.P.A., 2,8.51,Adderess,2 Step,,,,8.735, 3,AD #2,,4.95,37,47,,AVERAGE CART VALUE, 4,6.01,,54.95,,,,1.),0 5,AD #3,,,,,,2.),2.0965 6,8.21,,,,,,3.),3.774 7,AD #4,,,,,,4.),5.17 8,12.21,0,59.9,37,47,0,5.),0 9,Conv Rates,0.156,0.035,0.102,0.11,,ACV TOTAL,3.680166667 10,VISITORS/Buyers,1000,5.46,0.55692,0.0612612,0,, 11,,156,,,,,, 12,CART TOTAL,,2.0965,3.774,5.17,0,, ,Unnamed: 0,Unnamed: 1,Unnamed: 2,Unnamed: 3,Unnamed: 4,Unnamed: 5 0,,,,,, 1,,,,,, 2,,,,,, 3,,,,,, 4,,,,,, 5,,,,,, 6,,,,,, 7,,,,,, 8,,,,,, 9,,,,,, 10,,,,,, 11,,,,,, 12,,,,,, 13,,,,,, 14,,,,,, 15,,,,,, 16,,,,,, 17,,,,,, 18,,,,,, 19,,,,,, 20,SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER,,,,, 21,,,,,, 22,CTR,0.00035,(Click Through Rate),,, 23,CPC,0.35,(Cost Per Click),,, 24,TOTAL CLICKS,1000,(LEADS),,, 25,AD COST,350,,,, 26,CPA,2.857142857,(Cost Per Aquisition),,, 27,,,,,, 28,NUMBER OF VISITORS,,,1000,,TOTAL REVENUE 29,PERCENTAGE ENTERED SHIPPING DETAILS,,,0.15,, 30,TOTAL NUMBER OF CUSTOMERS TO STEP #2,,,150,, 31,PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2,,,0.035,, 32,TOTAL NUMBER OF BUYERS,,,5.25,, 33,AVERAGE CART VALUE ($9.95 plus $54.94),,,22.33,,117.2325 34,PERCENTAGE OF BUYERS BUY ORDER BUMP,,,0.102,37, 35,TOTAL NUMBER OF BUYERS OF ORDER BUMP,,,0.5355,, 36,AVERAGE CART VALUE AFTER ORDER BUMP,,,42.1435,,22.56784425 37,PERCENTAGE OF BUYERS BUY ONE TIME OFFER,,,0.11,47, 38,TOTAL NUMBER OF ONE TIME OFFER BUYERS,,,0.058905,, 39,AVERAGE CART VALUE AFTER ONE TIME OFFER,,,44.912035,,2.645543422 40,PERCENTAGE OF BUYERS BUY 2nd Upsell,,,0.1,197, 41,TOTAL NUMBER OF 2nd Upsell Buyers,,,0.0058905,, 42,TOTAL AVERAGE CART VALUE after 2nd Upsell,,,46.0724635,,1.1604285 43,TOTAL REVENUE FROM CAMPAIGN,,,,,143.6063162 44,TOTAL AD COST,,,,,350 45,GROSS PROFIT,,,,,-206.3936838 46,,,,,, 47,,,,,, 48,,,,,, 49,,,,,, 50,,,,,, 51,,,,,, 52,,,,,, 53,,,,,, 54,,,,,, 55,,,,,, 56,,,,,, 57,,,,,, 58,,,,,, 59,,,,,, 60,,,,,, 61,,,,,, 62,,,,,, 63,,,,,, 64,,,,,, 65,,,,,, 66,,,,,, 67,,,,,, 68,,,,,, 69,,,,,, 70,,,,,, 71,SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER,,,,, 72,,,,,, 73,CTR,0.00035,(Click Through Rate),,, 74,CPC,0.35,(Cost Per Click),,, 75,TOTAL CLICKS,1000,(LEADS),,, 76,AD COST,350,,,, 77,CPA,2.857142857,(Cost Per Aquisition),,, 78,,,,,, 79,NUMBER OF VISITORS,,,1000,,TOTAL REVENUE 80,PERCENTAGE ENTERED SHIPPING DETAILS,,,0.15,, 81,TOTAL NUMBER OF CUSTOMERS TO STEP #2,,,150,, 82,PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2,,,0.035,, 83,TOTAL NUMBER OF BUYERS,,,5.25,, 84,AVERAGE CART VALUE ($9.95 plus $54.94),,,22.33,,117.2325 85,PERCENTAGE OF BUYERS BUY ORDER BUMP,,,0.17,37, 86,TOTAL NUMBER OF BUYERS OF ORDER BUMP,,,0.8925,, 87,AVERAGE CART VALUE AFTER ORDER BUMP,,,55.3525,,49.40210625 88,PERCENTAGE OF BUYERS BUY ONE TIME OFFER,,,0.215,47, 89,TOTAL NUMBER OF ONE TIME OFFER BUYERS,,,0.1918875,, 90,AVERAGE CART VALUE AFTER ONE TIME OFFER,,,64.3712125,,12.35203104 91,PERCENTAGE OF BUYERS BUY 2nd Upsell,,,0.1,197, 92,TOTAL NUMBER OF 2nd Upsell Buyers,,,0.01918875,, 93,TOTAL AVERAGE CART VALUE after 2nd Upsell,,,68.15139625,,3.78018375 94,TOTAL REVENUE FROM CAMPAIGN,,,,,182.766821 95,TOTAL AD COST,,,,,350 96,GROSS PROFIT,,,,,-167.233179 ,Unnamed: 0,Unnamed: 1,Unnamed: 2,Unnamed: 3,Unnamed: 4,Unnamed: 5 0,WEBINAR ADDED,,,,, 1,,,,,, 2,,,,,, 3,,,,,, 4,,,,,, 5,,,,,, 6,,,,,, 7,,,,,, 8,,,,,, 9,,,,,, 10,,,,,, 11,,,,,, 12,,,,,, 13,,,,,, 14,,,,,, 15,,,,,, 16,,,,,, 17,,,,,, 18,,,,,, 19,,,,,, 20,SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER,,,,, 21,,,,,, 22,CTR,3.5e-05,(Click Through Rate),,, 23,CPC,0.35,(Cost Per Click),,, 24,TOTAL CLICKS,10000,(LEADS),,, 25,AD COST,3500,,,, 26,CPA,2.857142857,(Cost Per Aquisition),,, 27,,,,,, 28,NUMBER OF VISITORS,,,10000,,TOTAL REVENUE 29,PERCENTAGE ENTERED SHIPPING DETAILS,,,0.15,, 30,TOTAL NUMBER OF CUSTOMERS TO STEP #2,,,1500,, 31,PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2,,,0.035,, 32,TOTAL NUMBER OF BUYERS,,,52.5,, 33,AVERAGE CART VALUE ($9.95 plus $54.94),,,22.33,,1172.325 34,PERCENTAGE OF BUYERS BUY ORDER BUMP,,,0.17,37, 35,TOTAL NUMBER OF BUYERS OF ORDER BUMP,,,8.925,, 36,AVERAGE CART VALUE AFTER ORDER BUMP,,,352.555,,3146.553375 37,PERCENTAGE OF BUYERS BUY ONE TIME OFFER,,,0.215,47, 38,TOTAL NUMBER OF ONE TIME OFFER BUYERS,,,1.918875,, 39,AVERAGE CART VALUE AFTER ONE TIME OFFER,,,442.742125,,849.5667951 40,PERCENTAGE OF BUYERS BUY 2nd Upsell,,,0.1,197, 41,TOTAL NUMBER OF 2nd Upsell Buyers,,,0.1918875,, 42,TOTAL AVERAGE CART VALUE after 2nd Upsell,,,480.5439625,,37.8018375 43,PERCENTAGE OF BUYERS BUY WEBINAR,,,0.045,2000, 44,TOTAL NUMBER OF WEBINAR BUYERS,,,0.0086349375,, 45,TOTAL AVERAGE CART VALUE after WEBINAR,,,497.8138375,,17.269875 46,TOTAL REVENUE FROM CAMPAIGN,,,,,5223.516883 47,TOTAL AD COST,,,,,3500 48,GROSS PROFIT,,,,,1723.516883 ,Unnamed: 0,Unnamed: 1,Unnamed: 2,Unnamed: 3,Unnamed: 4,Unnamed: 5 0,,,,,, 1,,,,,, 2,,,,,, 3,,,,,, 4,,,,,, 5,,,,,, 6,,,,,, 7,,,,,, 8,,,,,, 9,,,,,, 10,,,,,, 11,,,,,, 12,,,,,, 13,,,,,, 14,,,,,, 15,,,,,, 16,,,,,, 17,,,,,, 18,,,,,, 19,,,,,, 20,SO IF I ATTRACTED 1000 VISITORS/LEADS TO THIS OFFER,,,,, 21,,,,,, 22,CTR,0.00035,(Click Through Rate),,, 23,CPC,0.35,(Cost Per Click),,, 24,TOTAL CLICKS,1000,(LEADS),,, 25,AD COST,68.45,,,, 26,CPA,14.6092038,(Cost Per Aquisition),,, 27,,,,,, 28,NUMBER OF VISITORS,,,1000,,TOTAL REVENUE 29,PERCENTAGE ENTERED SHIPPING DETAILS,,,0.0719,, 30,TOTAL NUMBER OF CUSTOMERS TO STEP #2,,,71.9,, 31,PERCENTAGE OF PEOPLE WHO PURCHASED IN STEP # 2,,,0.345,, 32,TOTAL NUMBER OF BUYERS,,,24.8055,, 33,AVERAGE CART VALUE ,,,37.58,,932.19069 34,PERCENTAGE OF BUYERS BUY ORDER BUMP,,,0.19,1.01, 35,TOTAL NUMBER OF BUYERS OF ORDER BUMP,,,4.713045,, 36,AVERAGE CART VALUE AFTER ORDER BUMP,,,42.34017545,,199.5511522 37,PERCENTAGE OF BUYERS BUY ONE TIME OFFER,,,0.3437,0.41, 38,TOTAL NUMBER OF ONE TIME OFFER BUYERS,,,24.8055,, 39,AVERAGE CART VALUE AFTER ONE TIME OFFER,,,52.51043045,,1302.547483 40,PERCENTAGE OF BUYERS BUY 2nd Upsell,,,0.0475,2.26, 41,TOTAL NUMBER OF 2nd Upsell Buyers,,,1.17826125,, 42,TOTAL AVERAGE CART VALUE after 2nd Upsell,,,55.17330088,,2.662870425 43,TOTAL REVENUE FROM CAMPAIGN,,,,,2436.952195 44,TOTAL AD COST,,,,,68.45 45,GROSS PROFIT,,,,,2368.502195
Turn the customer lifetime value workbook into a testable retention plan
RISER NATION CORP — IF YOU AREN'T BUILDING, YOU ARE DESTROYING
What you will build
Complete the workbook's ten planning tables, moving from customer segments to measurable changes. The assigned document is a blank planning workbook. It contains five sections and ten tasks, not an already completed business analysis. Its original blank rows remain available in the appendix. The methods and examples explained here are authored guidance for using those fields; the document supplies no customer results, validated targets or lifetime-value formula.
The purpose is continuing customer value. In Brunson's value-ladder framing, the next offer should fit a customer's next relevant need. In the Hormozi value framework, consider the desired result, confidence in achieving it, time delay and required effort. Applying these ideas to retention means helping customers obtain useful results repeatedly. It does not mean adding purchases simply to maximize a spreadsheet total. Review the official Acquisition.com Value Equation resource alongside the workbook.
1. Identify the segments and set the goals
The first table asks for Segment Name, Demographics, Purchase Frequency and Avg. Order Value. Its two blank rows are working space, not a rule that a business must have exactly two segments. Use actual customer records and describe how each segment is defined. Where demographic information is unnecessary or unavailable, mark that honestly rather than guessing personal characteristics. Frequency needs a period, such as orders per customer per quarter; average order value needs a stated revenue basis, such as net sales after refunds divided by orders.
An authored example might distinguish first-time purchasers from repeat purchasers, then measure both over the same quarter. Those are behavioral segments, so explain that distinction rather than pretend the demographics column already supplies the right definition. Record the number of customers and orders in your supporting notes so that a tiny sample is not mistaken for a stable pattern. This is additional guidance, not an extra field claimed to exist in the original.
The second table has Goal Type, Current Value and Target Value. Its three prefilled goal rows are Repeat Purchase Rate, Average Order Value and Churn Rate Reduction. Fill all three. State the period and denominator for each rate in accompanying notes. A repeat-purchase rate could mean the share of a defined customer cohort that makes another purchase within a specified time; churn may refer to lost customers or lost recurring revenue. Those measures are different. Choose the definition that fits the business and keep it consistent between current and target values.
Choose targets as hypotheses grounded in the baseline and delivery capacity. Do not type an attractive percentage without explaining how it could be reached. For a one-time product with no continuing relationship, a subscription churn measure may be inapplicable; record that and select a relevant retention measure in your working notes. The original named row remains preserved.
2. Plan repeat-purchase support and personalization
The loyalty table asks for Program Type, Reward Structure and Implementation Date. Describe who earns a reward, what they receive and when it becomes available. An implementation date is a proposed planning date until the program is actually approved and configured. An authored example is a useful support session after a repeat purchase, provided the business can deliver it. Cost the reward and make the qualification conditions understandable. A reward that encourages unsuitable purchases is not evidence of customer value.
The personalization table asks for Personalization Element, Target Audience and Implementation Method. Name the actual element: a relevant onboarding checklist, product recommendation or support path. Define the audience using information the business legitimately has. Then explain the method, such as a selected form response routing someone to an appropriate guide. Avoid merely writing “use AI”; specify the input, useful output and review needed. These suggestions describe a design, not an automation that has been deployed.
Connect the two plans to the customer's progress. Loyalty can recognize continued participation, while personalization can reduce irrelevant material and effort. Neither requires a promise that every customer will buy again. Compare the resulting customer experience with the original goal rather than counting rewards issued as success by themselves.
3. Design relevant upsells and cross-sells
The upsell table contains Product, Upsell Offer and Expected Increase in AOV. Explain the difference between the current purchase and the proposed upgrade. State the incremental price and the additional useful scope in supporting notes. The expected increase is an assumption until measured. If only some customers accept an upgrade, its sticker price is not automatically the average increase across all orders.
For a clearly hypothetical calculation, a $20 upgrade accepted on 10% of otherwise comparable orders adds $2 of gross revenue per original order before refunds and additional costs. This arithmetic is authored instruction, not a forecast from the workbook. It helps you avoid entering $20 as the expected average increase for every order. Check margins and fulfillment effort as well as sales revenue.
The cross-sell table contains Bundle Name, Products Included and Discount Offered. List every included item and the actual discount basis. An authored example could pair a tool with an optional maintenance kit that serves the same customer's next need. Compare the bundle price with genuine separate prices where that comparison is used. Do not invent inflated standalone values or omit a required component from the core purchase just to sell it later.
Use the value ladder to decide whether the next step is relevant. Some customers need an upgrade; others need a complementary item; some need neither. Keep the core promise complete and the customer's choice clear. The workbook's two blank rows per table remain available for alternative hypotheses.
4. Improve support and turn feedback into action
The customer-support table asks for Support Strategy, Implementation Steps and Success Criteria. Name a concrete intervention, such as clearer setup instructions or a defined response process. Break implementation into work someone can perform. Define success using the problem being addressed: successful setup, fewer repeat contacts about the same issue or timely resolution. Faster replies alone do not establish that the customer's problem was solved.
The feedback table asks for Feedback Source, Key Insights and Action Plan. Identify the source and preserve what customers actually reported. Separate a quotation or observed event from your interpretation. For example, repeated questions about the first setup step may suggest unclear instructions; verify the cause before assuming the product itself is wrong. An action item should state a concrete change, such as rewriting and testing that instruction. Assigning an owner or review date in your working notes is helpful authored guidance, not a field present in the source table.
Link these tables. If feedback identifies a recurring onboarding difficulty, use the support plan to describe the correction and success criteria. Do not promise 24-hour support, refunds or guarantees merely because those tactics appear in another resource; actual commitments require a workable policy and delivery capacity.
5. Monitor results and adjust the strategy
The metrics table asks for Metric, Baseline Value, Current Value and Adjustment Needed? (Yes/No). Compare the same definition, time period and customer population wherever possible. Record whether a difference is meaningful enough to investigate and explain why. A change in the mix of customers, a promotion or a seasonal effect may explain movement; do not automatically attribute it to the new loyalty program.
The final table asks for Strategy, Change Implemented and Outcome. Record what was actually changed and what observable result followed. If you are still planning, label the proposed change and expected result clearly in your working notes. If the evidence suggests the reward costs too much relative to useful repeat purchases, revise the reward or test a different support approach. Preserve the old result and the reason for the revision. The original Outcome column should distinguish measured results from any explicitly labeled forecast.
The workbook does not establish a causal experiment or statistical threshold. As authored practice, record a baseline, make a bounded change, document other changes occurring at the same time and assess both customer outcomes and economics. Where stronger causal confidence matters, design an appropriate comparison before claiming that the intervention caused the result.
Completion check and sources
You should have filled all ten tables: segments, goals, loyalty, personalization, upsells, cross-sells, support, feedback, metrics and adjustments. Preserve blank or inapplicable fields with an explanation rather than fabricated data. Make the three named goals measurable, label every forecast, and explain how each proposed purchase or service improves the customer's actual experience.
Read the assigned Customer Lifetime Value Optimization Workbook. Its complete native text and all ten original table grids accompany this teaching in the lesson appendix. The workbook remains a planning tool; completing it is not proof that lifetime value increased.
Assigned source links
Original tables and embedded resource links
| Segment Name | Demographics | Purchase Frequency | Avg. Order Value |
| Goal Type | Current Value | Target Value |
| Repeat Purchase Rate | ||
| Average Order Value | ||
| Churn Rate Reduction |
| Program Type | Reward Structure | Implementation Date |
| Personalization Element | Target Audience | Implementation Method |
| Product | Upsell Offer | Expected Increase in AOV |
| Bundle Name | Products Included | Discount Offered |
| Support Strategy | Implementation Steps | Success Criteria |
| Feedback Source | Key Insights | Action Plan |
| Metric | Baseline Value | Current Value | Adjustment Needed? (Yes/No) |
| Strategy | Change Implemented | Outcome |
Complete returned native document text
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Customer Lifetime Value Optimization Workbook Section 1: Defining Customer Segmentation & LTV Goals Task 1: Identify Customer Segments Segment Name Demographics Purchase Frequency Avg. Order Value Task 2: Set LTV Goals Goal Type Current Value Target Value Repeat Purchase Rate Average Order Value Churn Rate Reduction Section 2: Retention Strategy Implementation Task 3: Design Loyalty Program Program Type Reward Structure Implementation Date Task 4: Personalization Strategy Personalization Element Target Audience Implementation Method Section 3: Upsell & Cross-Sell Optimization Task 5: Create Upsell Offers Product Upsell Offer Expected Increase in AOV Task 6: Implement Cross-Sell Bundles Bundle Name Products Included Discount Offered Section 4: Customer Support & Satisfaction Enhancements Task 7: Improve Customer Support Support Strategy Implementation Steps Success Criteria Task 8: Customer Feedback Analysis Feedback Source Key Insights Action Plan Section 5: Performance Tracking & Adjustments Task 9: Monitor Key LTV Metrics Metric Baseline Value Current Value Adjustment Needed? (Yes/No) Task 10: Optimization Strategy Adjustments Strategy Change Implemented Outcome This workbook provides a structured way to track and optimize Customer Lifetime Value (LTV) by following strategic implementation and measuring performance outcomes.
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--- source_type: "Google Doc" source_url: "https://docs.google.com/document/d/1AKG8K8RHBCHLrJOCCGGXZ2w2nxlTn2HXpDH0z3XewCM/edit?usp=drivesdk" drive_file_id: "1AKG8K8RHBCHLrJOCCGGXZ2w2nxlTn2HXpDH0z3XewCM" created: "2025-02-06T23:39:23.879Z" modified: "2026-06-04T16:43:53.273Z" --- # Customer Lifetime Value Optimization Workbook Customer Lifetime Value Optimization Workbook Section 1: Defining Customer Segmentation & LTV Goals Task 1: Identify Customer Segments Segment Name Demographics Purchase Frequency Avg. Order Value Task 2: Set LTV Goals Goal Type Current Value Target Value Repeat Purchase Rate Average Order Value Churn Rate Reduction ________________ Section 2: Retention Strategy Implementation Task 3: Design Loyalty Program Program Type Reward Structure Implementation Date Task 4: Personalization Strategy Personalization Element Target Audience Implementation Method ________________ Section 3: Upsell & Cross-Sell Optimization Task 5: Create Upsell Offers Product Upsell Offer Expected Increase in AOV Task 6: Implement Cross-Sell Bundles Bundle Name Products Included Discount Offered ________________ Section 4: Customer Support & Satisfaction Enhancements Task 7: Improve Customer Support Support Strategy Implementation Steps Success Criteria Task 8: Customer Feedback Analysis Feedback Source Key Insights Action Plan ________________ Section 5: Performance Tracking & Adjustments Task 9: Monitor Key LTV Metrics Metric Baseline Value Current Value Adjustment Needed? (Yes/No) Task 10: Optimization Strategy Adjustments Strategy Change Implemented Outcome ________________ This workbook provides a structured way to track and optimize Customer Lifetime Value (LTV) by following strategic implementation and measuring performance outcomes.
Document what each customer was promised, received and reported
RISER NATION CORP — IF YOU AREN'T BUILDING, YOU ARE DESTROYING
Build an evidence record, one customer at a time
The assigned template creates one outcome record for each paying customer counted under its legacy M10.1 process. The completed collection becomes its M10.2 packet. Those legacy references explain the source's dependencies; they do not change the spreadsheet's current course and lesson assignments. The source proposes filing records at `Drive/C10/Customer-Outcomes/[customer-id]-outcome.md` and in `c10_customer_outcomes`. These are proposed storage destinations, not evidence that either system has been configured or populated.
The record separates what you promised, what you delivered and what the customer said. This distinction supports credible proof in a Brunson-style offer presentation and a realistic assessment of the likelihood-of-achievement dimension in Hormozi's value framework. A completed template is not automatically a testimonial, permission to publish a customer's words or proof of a typical result. Keep customer records appropriately controlled and use authentic evidence rather than invented success stories.
Complete all eight header fields
Enter the Customer ID, Engagement type, Engagement start date, Engagement end date or current status, Price paid gross, Discounts granted, Refund issued and Origin. An anonymized label is acceptable under the source, but protect the information that could reconnect that label with a person. State whether the engagement is a service, cohort, productized purchase or retainer. Give actual dates; if it is ongoing, identify progress, such as milestone two of four, instead of implying completion.
Keep gross payment, discount and refund amounts separate so that a reviewer can reconstruct the transaction. A discount needs its documented reason; a refund should distinguish full, partial and none. For origin, distinguish a warm relationship, referral, outreach, content or another specific source. Do not guess attribution merely because a customer saw several channels. The template is blank; it supplies no real payment records.
1. Recover the original promised outcome
State the specific commitment made when the customer paid and identify where it was recorded. The source asks for an offer section, sales notes, engagement letter, proposal or another traceable record. It also asks whether additional verbal commitments were made during the close. Document those honestly instead of quietly replacing the original promise with a later interpretation.
The template's illustrative eight-week Series B Readiness Package includes four deliverables: a three-statement financial model with sensitivity analysis; a board memo configured for the cap table; a first pitch deck with an operator-validated narrative; and two recorded mock-pitch sessions with feedback. Its April 15, 2026 target is an example date, not a RISER commitment. Notice that these are defined deliverables, not a guarantee that funding will be secured. The record should preserve both the date and the scope actually agreed with a real customer.
2. Record delivery and explain differences
List what was actually produced, shipped or handed over. Link the artifacts and completion evidence in your working record. The source's example lists a four-scenario financial model, the configured board memo, three pitch-deck versions developed during weeks five through seven, two planned mock pitches and a third uncharged session requested in week eight. Each item is observable; “we delivered a transformation” would not provide the same specificity.
Answer the source's Yes, No or Partial question about differences between promised and delivered. Explain each difference. In the extra-session example, a customer stakeholder requested another session and the operator absorbed it because the time was modest. The source connects that event with near-refund analysis and a later pricing review. That is an illustration of scope and capacity learning, not a rule to provide unlimited extra work.
The second example concerns an ambiguous sensitivity-analysis promise. The operator delivered four scenarios, exceeding what the vague original wording explicitly specified. Record that interpretation and decide whether a future offer should define the four scenarios as standard. Keep the original promise intact; an improved future offer must not rewrite what this customer originally bought.
A related module labels adding scope without billing as dishonest, while this template describes honest over-delivery. Uncharged extra work is not inherently dishonest. The useful questions are whether the record is truthful, scope changes were understood, the customer received the promised core work and the business can sustain the extra effort. Preserve the source disagreement rather than misclassify a real engagement to fit a label.
3. Preserve representative customer words
Enter the customer's actual quotation, its source, date and verbatim quality. The quality choices in the source are representative, mixed or brief; for brief feedback, record whether fuller feedback was sought. Do not turn “useful, thanks” into a claim of exceptional satisfaction.
The sample feedback is mixed: the financial model is described positively; the board memo saved time; the pitch deck still needs narrative work according to a co-founder; the extra mock pitch helped; and the customer would recommend the provider while warning that work continues after the engagement. Teach the whole balance. Isolating only the praise would hide the qualification that makes the record informative. The full illustrative quotation is retained in the original appendix and must not be presented as a real RISER testimonial.
If no quotation exists despite attempts, complete all three nonresponse fields: Outreach attempted, Outreach text and Customer response. Record the actual date and channel, the message used and whether there was no response, a refusal or another result. This lesson does not send any messages. Silence is neither a positive endorsement nor proof of dissatisfaction.
The related reviewer demands a sourced quote for every customer, while this template permits honest nonresponse documentation. Mark such a record as lacking customer validation and disclose the acceptance conflict. Never fabricate a quote to obtain an automated pass. A reviewer or course owner must resolve the applicable acceptance policy when that conflict matters.
4. Surface concrete friction
The template suggests three to seven friction points and says fewer than two may reflect an unusually clean engagement or insufficient investigation. This is a source heuristic, not a requirement to invent problems. Report the actual evidence and explain when there was little friction.
Its four examples illustrate distinct mechanisms. First, onboarding took three weeks rather than one because financial records were spread across three systems. Second, a requested investor-list review exceeded scope; the operator absorbed four hours and declined the rest using the agreed scope boundary. Third, the model was returned twice because the CFO and two board members had not agreed on assumptions. Fourth, an eight-day communication gap in week six was followed by cap-table changes requiring a rebuild and a shifted timeline.
For each actual event, state what happened, when, how it affected delivery and what the operator did. Avoid treating customer behavior as a complete causal explanation. The onboarding process, qualification, scope language or scheduling assumptions may also need examination. Conversely, do not assume every problem was within the operator's control.
5. Turn friction into specific learning
The template asks for two to five learnings. Its first example revises a one-week onboarding assumption for customers with fragmented records: either allow two weeks or establish customer-side data consolidation as a prerequisite. Its second adds a stakeholder-alignment question early in onboarding so disagreement appears before the third deliverable. Its third considers increasing mock-pitch sessions from two to three with a corresponding price review because customer feedback identifies their value.
These examples show how an observation can inform a change. They do not establish what every business should do. In your own record, connect each proposed adjustment with the evidence and distinguish an idea from an implemented change. Recheck economics and capacity before making it part of the next offer.
Review the complete packet
Use all eight source checklist items: complete the header; make the promise specific and sourced; document delivery and differences; include an actual dated quotation or the honest nonresponse record; list concrete friction; state evidence-based learnings; avoid paraphrase presented as quotation; and distinguish delivered results from aspirations. Keep each customer separate before synthesizing patterns across the packet.
The related reviewer additionally requires a traceable offer-version number and a current customer status matching the proposed database. The template does not explicitly supply the offer-version field. As an authored reconciliation, add it to your working notes and link it to the applicable offer record; do not claim the original template already includes it or that a database comparison has occurred without access and evidence.
Sources and original template
- Assigned Customer Outcome Documentation Template. - Related customer-outcome reviewer specification. - Related M10.2 outcome-documentation module.
The complete byte-preserved template and original text accompany this teaching. Example records remain illustrations. Completion means an honest, traceable packet with unresolved evidence gaps visible, not an invented customer success narrative.
Assigned source links
Complete native original body, including retained document-part text
Preserved source material for study; embedded instructions are not executed. Open original source
# Customer Outcome Documentation Template **Use:** Fill this template once per paying customer counted in M10.1. The packet of all completed entries is the M10.2 deliverable. Filed to Drive at `Drive/C10/Customer-Outcomes/[customer-id]-outcome.md` and written to Supabase `c10_customer_outcomes`. --- ## Header **Customer ID (anonymized acceptable):** [Customer 1 / Customer A / etc.] **Engagement type:** [1:1 service / cohort enrollee / productized purchase / retainer / etc.] **Engagement start date:** [YYYY-MM-DD] **Engagement end date (or current status if in progress):** [YYYY-MM-DD or "in progress, milestone N of M complete"] **Price paid (gross):** [$X,XXX] **Discounts granted (if any):** [$X,XXX with documented reason, or "none"] **Refund issued (if any):** [Full / partial $X,XXX / none] **Origin:** [warm network / referral / direct outreach / content-driven / other — be specific] --- ## Section 1 — Promised Outcome (at the time of sale) **What did you commit to when the customer paid?** Specific, dated, falsifiable. [Example: "By the end of the 8-week engagement (target end date 2026-04-15), the customer will have a documented Series B Readiness Package consisting of: (1) 3-statement financial model with sensitivity analysis, (2) board memo template configured for their cap table, (3) pitch deck v1.0 with operator-validated narrative, and (4) two recorded mock-pitch sessions with feedback summary."] **Where is this commitment recorded?** [Offer document section / sales call notes from YYYY-MM-DD / engagement letter / proposal / other source] **Were there additional verbal commitments made during the close?** [Yes/No; if yes, document them honestly] --- ## Section 2 — Delivered Outcome (at engagement end or current status) **What did you actually produce, ship, hand over, deliver?** Specific. [Example: "Delivered: financial model with sensitivity analysis (4 scenarios); board memo template configured to the customer's cap table; pitch deck v1.0 with three iterative versions during weeks 5-7; two mock-pitch sessions plus an unscheduled third mock-pitch session in week 8 at the customer's request (absorbed without additional charge — see friction points)."] **Are there honest differences between promised and delivered?** [Yes / No / Partial] If yes, document the differences and the reasoning: [Example: "Promised: 2 mock-pitch sessions. Delivered: 3 mock-pitch sessions (one absorbed without charge at customer's request). Difference reasoning: customer-side stakeholder added the third session request mid-engagement; operator absorbed rather than negotiating because the additional time was modest. Documented in M10.3 as a near-refund avoidance pattern; pricing-architecture decision in M10.4 may revisit the engagement-window discipline."] [Or example: "Promised: financial model with 'sensitivity analysis.' Delivered: financial model with 4-scenario sensitivity analysis (operator interpreted 'sensitivity analysis' more rigorously than the offer document specified). The customer-experienced outcome is more thorough than the promised outcome; this is honest over-delivery and is documented for the offer-architecture iteration consideration in C7 (the offer document should be updated to specify 4-scenario sensitivity if this is the new standard)."] --- ## Section 3 — Customer's Verbatim Feedback **Quote, verbatim, in the customer's own words. Not paraphrased.** [Example: From email dated 2026-04-22 in response to the operator's feedback request: *"This was useful. The financial model is solid and the board memo template saved me a lot of time. The pitch deck is OK but my co-founder thinks the narrative still needs work — we'll iterate on it before our actual pitches. Thanks for the extra mock-pitch session, that was helpful. Overall: I'd recommend you to other founders, but I'd tell them the work continues after the engagement, not that the package is the finish line."*] **Source:** [Email / transcribed call / written testimonial / direct outreach response] **Date:** [YYYY-MM-DD] **Verbatim quality:** [Representative / mixed / brief — if brief, was outreach attempted to elicit fuller feedback?] If verbatim feedback is not available despite outreach attempts: **Outreach attempted:** [Email sent YYYY-MM-DD / call requested YYYY-MM-DD / message sent YYYY-MM-DD] **Outreach text:** [Brief paste of the outreach message] **Customer response:** [None received as of [date] / responded but declined to provide feedback / other] --- ## Section 4 — Friction Points **What went wrong, was difficult, took longer than expected, or required correction during the engagement?** Be specific. List 3-7 friction points typically; if you have fewer than 2, the engagement was either unusually clean or the operator is under-surfacing. [Example friction points: - "Onboarding took 3 weeks instead of 1 because the customer's existing financial records were in three different systems requiring custom reconciliation." - "Mid-engagement scope addition: customer requested an investor list review that was not in the offer document. Operator absorbed half (4 hours) and politely declined the rest, citing the anti-promise on advisor-vs-doer scope. Anti-promise held under pressure." - "Week 5 deliverable was returned for revision twice because the customer's stakeholders (CFO + 2 board members) had not been aligned on the financial model assumptions before the operator presented v1.0." - "Customer ghosted for 8 days in week 6, then returned with significant updates to the cap table that required model rebuild. Engagement timeline shifted accordingly." ] --- ## Section 5 — Operator Learnings **What did this engagement teach you that updates your model?** 2-5 specific learnings. [Example learnings: - "The 1-week onboarding assumption is unrealistic for customers with multi-system financial records; the offer document should specify a 2-week onboarding window for that customer profile, OR the offer should specify that pre-onboarding data consolidation is a customer-side prerequisite." - "Stakeholder alignment is the most common cause of revision cycles. The onboarding template should add an explicit stakeholder-alignment question early; this would surface alignment issues before deliverable-1 rather than at deliverable-3." - "The mock-pitch session is the most-valued deliverable in customer feedback. Consider expanding from 2 to 3 sessions in the offer architecture (with corresponding price adjustment in C8 architecture refinement)." ] --- ## Submission Checklist Before adding this entry to the M10.2 packet: - [ ] Header is complete with engagement type, dates, price, discounts, refunds, origin - [ ] Section 1 (Promised Outcome) is specific and sourced - [ ] Section 2 (Delivered Outcome) is specific; honest differences from promised are documented - [ ] Section 3 (Verbatim Feedback) contains an actual customer quote, sourced and dated, OR documents outreach with customer non-response - [ ] Section 4 (Friction Points) lists 3-7 specific friction points - [ ] Section 5 (Operator Learnings) lists 2-5 specific learnings - [ ] No paraphrased substitutes for verbatim quotes - [ ] No aspirational outcomes (what may eventually result is distinguished from what was delivered) --- *Customer Outcome Documentation Template — fill once per customer; aggregate becomes M10.2 deliverable.*
Analyze an event-based offer without confusing forecasts with results
RISER NATION CORP — IF YOU AREN'T BUILDING, YOU ARE DESTROYING
Read the example as a proposed campaign
The assigned Example Offer analyzes a proposed $40 birthday sale. It covers positioning, funnel flow, launch timing, five expert-attributed tips and a ten-product sales forecast. The linked birthday-sale page could not be accessed during review, so this lesson cannot confirm its actual prices, products, deadline, retirement claims or historical performance. The document's numbers are source assumptions, not RISER results or a verified account of that seller's business.
Use the example to learn how the parts of an offer connect and how to check the arithmetic. The complete original text and native forecast table remain in the appendix. The analysis below is authored teaching that identifies assumptions and discrepancies; it does not launch the campaign or send its suggested emails and messages.
1. Connect the event, value and deadline honestly
The birthday hook connects turning 40 with a $40 price. That relationship gives a memorable reason for the promotion. An authored application could use a real business milestone, provided the event and stated reason are true. The source attributes this to Brunson and Frank Kern; the specific attribution is not independently authenticated. The useful mechanism is a clear, relevant story around the offer, not invented personal history.
The document compares a $40 sale price with purported normal values of $197–$497. Such figures need evidence. A number crossed out on a page is not proof that the item was normally sold at that price. The separate listed values sum to $3,567, while the later launch copy proposes a $3,000 comparison. Those are different figures with no explanation in the source. Resolve the comparison basis before presenting either as a genuine saving.
The source invokes the Hormozi Value Equation but writes the denominator ambiguously. The intended framework is desired outcome multiplied by perceived likelihood, divided by the product of time delay and effort/sacrifice. Review the official Acquisition.com material. Treat those dimensions as offer-design questions here, not a calibrated numerical model that predicts conversion. Instant access can reduce delivery delay, but it does not eliminate the time and effort needed to apply a course. Screenshots also require authentic context and do not prove everyone will obtain a seven-figure outcome.
The proposed countdown and “retiring forever” statement create urgency only if the limitation is real and honored. A birthday alone does not prove permanent retirement. State the actual closing time and what changes afterward. Do not recycle a supposedly permanent deadline or claim the sale ends forever when another identical sale is planned.
2. Map traffic, checkout and delivery separately
The source proposes Instagram, TikTok, email, affiliates and possibly small paid campaigns as traffic sources. These are a channel list, not proof of an audience or permission to contact anyone. The suggested call to action offers a $497 framework for $40; use that comparison only when the original price claim is supportable.
The checkout design uses one cart rather than ten competing checkout paths. A single cart can let a customer choose an item and review optional additions, but the available product choices and prices must remain clear. The base offer is one program for $40. The first bump adds all ten programs for $97 more, meaning a $137 total if purchased with the base item. The wording must clarify that the original program is included in the ten, so the customer does not think they are buying eleven different programs.
The next proposed offer is a $297 lifetime coaching vault after purchase. A post-purchase offer is a separate upsell step even though the source calls it Bump #2. Define what “lifetime” means and what access actually includes before using it. The later $997–$2,997 core coaching/program offer is another proposed step; it is not automatically the same product as the $297 vault.
The source assumes a 10–20% first-bump acceptance rate without evidence. As authored arithmetic, 100 base orders produce $4,000 gross revenue. If ten buyers add $97, the added revenue is $970 and gross revenue becomes $4,970; twenty accepted bumps would yield $5,940. That is a 24.25–48.5% increase in this isolated scenario, not proof of a two- or threefold increase. Refunds, fees, taxes and fulfillment costs are not modeled here.
Delivery suggestions include Kajabi, Thinkific, Dropbox and Google Drive for PLR. Naming a tool does not configure access, payment routing or fulfillment. PLR rights must be established from the actual license. Test the correct purchase-to-access path before release. Replace the source's proposed immediate income-promise upsell with a truthful explanation of the next relevant support option; buying a low-cost framework does not establish a path to $10,000 months.
3. Understand the complete launch sequence
The proposed prelaunch lasts three to five days and uses mini-lessons addressing objections. The source labels this an Amy Porterfield “Invisible Bridge,” an attribution not verified here. Its suggested claim of scaling to $1 million without ads would require actual evidence; do not adopt it as your own history. A useful mini-lesson can demonstrate one bounded principle and explain what the paid resource adds.
Day one combines an announcement with a story. Days two and three show student results and behind-the-scenes material. Use only genuine results with appropriate context and permission; a demonstration or clearly labeled hypothetical example can teach without pretending to be a customer case. Day four explains the value, but the proposed $40 versus $3,000 comparison must be reconciled with the actual product and pricing evidence. Day five uses email, SMS and Instagram stories to announce the real deadline. No messaging is sent by this lesson.
The statement that most sales close in the last twelve hours is an unsupported generalization in the source. Measure the actual timing rather than plan cash needs around that claim. After the sale, the proposed waitlist says the promotion is closed and future access will be full price. Use that wording only if it accurately describes the actual next offer. Survey buyers to inform the next minimum viable offer; preserve both helpful and critical feedback.
4. Apply the five expert-attributed tips with evidence
The first tip, attributed to Frank Kern, emphasizes the customer's after-state. Explain a deliverable and plausible benefit without converting “$10k months without ads or burnout” into a guaranteed promise. The second, attributed to Brunson, uses future pacing: describe how a person could use the purchase over thirty days. Clearly distinguish a possible application from a promised thirty-day result.
The third tip, attributed to Hormozi, uses price anchoring. Test understandable comparisons based on real prices or a clearly explained valuation basis; do not assume that displaying a crossed-out number makes it legitimate. The fourth, attributed to Brendan Kane, tests multiple short-form openings. Measure retention and qualified action, but do not repeat the source's claim that the first three seconds universally matter more than the funnel. The fifth, attributed to Amy Porterfield, organizes each nurture email around an objection. Answer the actual concern rather than manufacture fear or hide limitations.
The document also proposes $50–$100 per day in retargeting spend and claims five-to-eightfold higher conversion. Neither is established for this audience. A budget requires actual economics, audience size and performance evidence. Preserve the suggestion as a source hypothesis; no ads, audience uploads or spending are activated here. The ClickFunnels hook/story/offer explanation is a related primary resource, separate from these unverified individual attributions.
5. Check every forecast row and the shared assumptions
All ten rows use a $40 base price. The source gives the following proposed normal values, unit ranges and gross revenues:
| Offer | Source normal value | Forecast units | Forecast gross revenue |
|---|---|---|---|
| Profitable Digital Product Academy | $497 | 500–800 | $20,000–$32,000 |
| 20 PLR Products | $297 | 400–600 | $16,000–$24,000 |
| Sales Automation System | $497 | 600–1,000 | $24,000–$40,000 |
| To Consistent $10k Months Masterclass | $297 | 400–600 | $16,000–$24,000 |
| Level Up – 5 Day Challenge | $297 | 300–500 | $12,000–$20,000 |
| 12 Mini Courses | $444 | 400–700 | $16,000–$28,000 |
| 6-Figure Year Secrets | $497 | 500–800 | $20,000–$32,000 |
| 30 DFY Content Videos + Photos | $247 | 200–400 | $8,000–$16,000 |
| Faceless Social Media Mastery | $197 | 300–500 | $12,000–$20,000 |
| Social Media Revolution Program | $297 | 600–1,000 | $24,000–$40,000 |
Each revenue row equals units multiplied by $40. The rows sum to 4,200–6,900 unit purchases and $168,000–$276,000. That arithmetic is consistent, but the demand assumptions are not demonstrated. The source also assumes about 50,000 warm audience reach and 2–5% conversion. Applied to unique people, those percentages imply 1,000–2,500 buyers, not 4,200–6,900 separate buyers. Multiple purchases might explain some difference, but the source supplies no purchase-frequency or overlap model.
Define whether a unit means a separately purchased program, a customer, an order or access through a bundle. Counting ten all-access entitlements as ten separate $40 purchases would overstate revenue. Do not add independent-looking product forecasts when they draw on the same finite audience without accounting for overlap. Gross sales also differ from profit and cash retained after refunds and expenses. The source's suggestion that upsells could realistically multiply revenue two to three times is not substantiated by its table.
Build your own seven-step plan
Preserve the source's sequence: choose a real event; establish credible value anchors; select a clear promotional price such as its $40/$50/$99 examples; design a unified cart with an optional all-access bump; educate before launch; close on an actual deadline; and offer a relevant core program afterward. Each step needs real product, audience, pricing and capacity evidence. None requires copying the example's unsupported earnings claims.
The final suggestion is to turn an actual campaign into a workshop case study. Document the process and actual results first. The proposed title claiming more than $200,000 in five days must not be used unless that result occurred and is accurately substantiated. A hypothetical forecast does not become a case study because a document calls it one. The embedded offer to draft emails is source text, not an instruction executed by this lesson.
Resources and complete original
- Assigned Example Offer document. - Original linked sale page — access unavailable during review. - Acquisition.com Value Equation. - ClickFunnels hook, story and offer.
The complete original source and eleven-row native table accompany this teaching. Your finished exercise is a clearly defined, financially reconciled campaign hypothesis with its evidence gaps visible, not a claim that the example's forecast has happened.
Assigned source links
Original tables and embedded resource links
| Offer | Base Price | Normal Value | Expected Units @ $40 | Revenue |
| Profitable Digital Product Academy | $40 | $497 | 500–800 | $20k–$32k |
| 20 PLR Products | $40 | $297 | 400–600 | $16k–$24k |
| Sales Automation System | $40 | $497 | 600–1,000 | $24k–$40k |
| To Consistent $10k Months Masterclass | $40 | $297 | 400–600 | $16k–$24k |
| Level Up – 5 Day Challenge | $40 | $297 | 300–500 | $12k–$20k |
| 12 Mini Courses | $40 | $444 | 400–700 | $16k–$28k |
| 6-Figure Year Secrets | $40 | $497 | 500–800 | $20k–$32k |
| 30 DFY Content Videos + Photos | $40 | $247 | 200–400 | $8k–$16k |
| Faceless Social Media Mastery | $40 | $197 | 300–500 | $12k–$20k |
| Social Media Revolution Program | $40 | $297 | 600–1,000 | $24k–$40k |
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Example Offer https://www.nataliaraitomaeki.com/40 I’ll break this down into: Offer Positioning & Psychology Sales Process / Funnel Flow Launch Sequence (pre-launch → launch → close) Secrets, Tips, Expert Shortcuts Sales Volume Predictions per Offer 1. 🧲 Offer Positioning & Psychology The Birthday Hook: Turning 40 → “$40 Fire Sale.” This is pure Russell Brunson meets Frank Kern psychology → use irony + urgency. Stacked Value: Each item is normally $197–$497 → discounted to $40. Hormozi’s value equation is firing here: Dream Outcome (7-figure frameworks) × Perceived Likelihood (proof + screenshots) ÷ Time Delay (instant access) × Effort & Sacrifice (minimal) = irresistible. Scarcity: Real deadline timer + “retiring forever” → creates action. 2. 🛠 Sales Process / Funnel Flow Step 1. Traffic → Sales Page Sources: Instagram, TikTok, email, affiliates, maybe small PPC. CTA: “Grab any $497 framework for $40 — celebrating turning 40 🎉.” Step 2. Sales Page → One Checkout Do not fragment attention. Instead of 10 different checkout buttons, funnel to one cart with bump offers. Example: Base: Pick any program for $40. Bump #1: “Add ALL 10 programs for $97 more.” (10–20% uptake). Bump #2 (post-purchase): “Unlock lifetime coaching vault for $297.” Step 3. Delivery Auto-fulfill via Kajabi, Thinkific, or Dropbox/Google Drive for PLR. Immediately start upsell indoctrination: “Congrats, you saved $400+… but let me show you how to turn this into $10k months.” 3. 🚀 Launch Sequence Pre-Launch (“Invisible Bridge” — Amy Porterfield) 3–5 days before cart open: Drop mini-lessons busting objections. Example: “You think you need ads to sell? I scaled to $1M without ads.” Launch (Cart Open) Day 1: Announcement + story-based post. Day 2–3: Social proof (student wins, behind-the-scenes). Day 4: Stack the value (compare $40 vs. $3,000 full price). Day 5 (last day): Scarcity push. Use email + SMS + Instagram stories. Most sales close in last 12 hours. Post-Launch Waitlist CTA: “Sale is closed. Next time, price = full ticket.” Survey buyers → Use feedback for next MVO. 4. 🧠 Secrets, Tips, Expert Advice Secret #1 (Frank Kern): Don’t sell features, sell the after state. Every headline should read: “Finally hit $10k months without ads or burnout.” Secret #2 (Russell Brunson): Use “future pacing.” Show them where they’ll be 30 days after applying what they buy. Secret #3 (Hormozi): Test price anchoring. Make sure you show full price crossed out above every $40 offer. Secret #4 (Brendan Kane): Test multiple hooks on short-form content. Your 3-second open matters more than your funnel. Secret #5 (Amy Porterfield): Nurture with objections. Each email = bust 1 objection. Pro shortcut: Run a retargeting ad for $50–100/day just on people who clicked but didn’t buy. These convert at 5–8× higher. 5. 📈 Sales Volume Predictions (per offer) Assumptions: Audience warm (IG + email list ~50k reach). Conversion baseline = 2–5% of warm audience. Scarcity flash sales spike harder than evergreen funnels. Offer Base Price Normal Value Expected Units @ $40 Revenue Profitable Digital Product Academy $40 $497 500–800 $20k–$32k 20 PLR Products $40 $297 400–600 $16k–$24k Sales Automation System $40 $497 600–1,000 $24k–$40k To Consistent $10k Months Masterclass $40 $297 400–600 $16k–$24k Level Up – 5 Day Challenge $40 $297 300–500 $12k–$20k 12 Mini Courses $40 $444 400–700 $16k–$28k 6-Figure Year Secrets $40 $497 500–800 $20k–$32k 30 DFY Content Videos + Photos $40 $247 200–400 $8k–$16k Faceless Social Media Mastery $40 $197 300–500 $12k–$20k Social Media Revolution Program $40 $297 600–1,000 $24k–$40k 👉 Estimated Total Revenue Range: $168k – $276k from a single 5-day “birthday blitz.” 👉 With proper bumps & upsells (all-access pass), you could realistically 2–3× that revenue. 🔑 Replicable Framework Create an Event (birthday, milestone, holiday). Anchor Big Value ($297–$497 courses). Flash-Sale Them All at One Irresistible Price ($40, $50, $99). Use a Unified Cart → One bump = All Access. Pre-Launch Education (Invisible Bridge → bust objections). Close with Scarcity → “Sale ends forever.” Upsell to Core Offer ($997–$2,997 coaching/program). ⚡Pro Tip: Document the process as a “case study funnel.” After you run this once, you can relaunch the exact framework as a paid workshop: “How I did $200k+ in 5 days with my $40 Birthday Sale.” (Meta-offer → sells itself). 👉 Do you want me to now draft the email + story sequence (subject lines, hooks, story angles, and CTAs) so you have the full copy package ready to deploy for this sale?
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# Example Offer
Example Offer
https://www.nataliaraitomaeki.com/40
I’ll break this down into:
1. Offer Positioning & Psychology
2. Sales Process / Funnel Flow
3. Launch Sequence (pre-launch → launch → close)
4. Secrets, Tips, Expert Shortcuts
5. Sales Volume Predictions per Offer
________________
1. 🧲 Offer Positioning & Psychology
* The Birthday Hook: Turning 40 → “$40 Fire Sale.” This is pure Russell Brunson meets Frank Kern psychology → use irony + urgency.
* Stacked Value: Each item is normally $197–$497 → discounted to $40. Hormozi’s value equation is firing here:
Dream Outcome (7-figure frameworks) × Perceived Likelihood (proof + screenshots) ÷ Time Delay (instant access) × Effort & Sacrifice (minimal) = irresistible.
* Scarcity: Real deadline timer + “retiring forever” → creates action.
________________
2. 🛠 Sales Process / Funnel Flow
Step 1. Traffic → Sales Page
* Sources: Instagram, TikTok, email, affiliates, maybe small PPC.
* CTA: “Grab any $497 framework for $40 — celebrating turning 40 🎉.”
Step 2. Sales Page → One Checkout
* Do not fragment attention. Instead of 10 different checkout buttons, funnel to one cart with bump offers.
* Example:
* Base: Pick any program for $40.
* Bump #1: “Add ALL 10 programs for $97 more.” (10–20% uptake).
* Bump #2 (post-purchase): “Unlock lifetime coaching vault for $297.”
Step 3. Delivery
* Auto-fulfill via Kajabi, Thinkific, or Dropbox/Google Drive for PLR.
* Immediately start upsell indoctrination: “Congrats, you saved $400+… but let me show you how to turn this into $10k months.”
________________
3. 🚀 Launch Sequence
Pre-Launch (“Invisible Bridge” — Amy Porterfield)
* 3–5 days before cart open:
* Drop mini-lessons busting objections.
* Example: “You think you need ads to sell? I scaled to $1M without ads.”
Launch (Cart Open)
* Day 1: Announcement + story-based post.
* Day 2–3: Social proof (student wins, behind-the-scenes).
* Day 4: Stack the value (compare $40 vs. $3,000 full price).
* Day 5 (last day): Scarcity push. Use email + SMS + Instagram stories. Most sales close in last 12 hours.
Post-Launch
* Waitlist CTA: “Sale is closed. Next time, price = full ticket.”
* Survey buyers → Use feedback for next MVO.
________________
4. 🧠 Secrets, Tips, Expert Advice
* Secret #1 (Frank Kern): Don’t sell features, sell the after state. Every headline should read: “Finally hit $10k months without ads or burnout.”
* Secret #2 (Russell Brunson): Use “future pacing.” Show them where they’ll be 30 days after applying what they buy.
* Secret #3 (Hormozi): Test price anchoring. Make sure you show full price crossed out above every $40 offer.
* Secret #4 (Brendan Kane): Test multiple hooks on short-form content. Your 3-second open matters more than your funnel.
* Secret #5 (Amy Porterfield): Nurture with objections. Each email = bust 1 objection.
Pro shortcut: Run a retargeting ad for $50–100/day just on people who clicked but didn’t buy. These convert at 5–8× higher.
________________
5. 📈 Sales Volume Predictions (per offer)
Assumptions:
* Audience warm (IG + email list ~50k reach).
* Conversion baseline = 2–5% of warm audience.
* Scarcity flash sales spike harder than evergreen funnels.
Offer
Base Price
Normal Value
Expected Units @ $40
Revenue
Profitable Digital Product Academy
$40
$497
500–800
$20k–$32k
20 PLR Products
$40
$297
400–600
$16k–$24k
Sales Automation System
$40
$497
600–1,000
$24k–$40k
To Consistent $10k Months Masterclass
$40
$297
400–600
$16k–$24k
Level Up – 5 Day Challenge
$40
$297
300–500
$12k–$20k
12 Mini Courses
$40
$444
400–700
$16k–$28k
6-Figure Year Secrets
$40
$497
500–800
$20k–$32k
30 DFY Content Videos + Photos
$40
$247
200–400
$8k–$16k
Faceless Social Media Mastery
$40
$197
300–500
$12k–$20k
Social Media Revolution Program
$40
$297
600–1,000
$24k–$40k
👉 Estimated Total Revenue Range: $168k – $276k from a single 5-day “birthday blitz.”
👉 With proper bumps & upsells (all-access pass), you could realistically 2–3× that revenue.
________________
🔑 Replicable Framework
1. Create an Event (birthday, milestone, holiday).
2. Anchor Big Value ($297–$497 courses).
3. Flash-Sale Them All at One Irresistible Price ($40, $50, $99).
4. Use a Unified Cart → One bump = All Access.
5. Pre-Launch Education (Invisible Bridge → bust objections).
6. Close with Scarcity → “Sale ends forever.”
7. Upsell to Core Offer ($997–$2,997 coaching/program).
________________
⚡Pro Tip: Document the process as a “case study funnel.” After you run this once, you can relaunch the exact framework as a paid workshop: “How I did $200k+ in 5 days with my $40 Birthday Sale.” (Meta-offer → sells itself).
________________
👉 Do you want me to now draft the email + story sequence (subject lines, hooks, story angles, and CTAs) so you have the full copy package ready to deploy for this sale?
Add customer value through delivery, support and a credible offer
RISER NATION CORP — IF YOU AREN'T BUILDING, YOU ARE DESTROYING
Understand the four overlapping lists
The assigned document contains four separate lists of ten value-building ideas, fifteen numbered citations and two email signatures. The lists overlap, but each adds details. This lesson teaches all four inventories so that useful distinctions are not lost in a shorter summary. They are proposed tactics, not established RISER policies, customer results or services already available.
The central question is what improves the customer's actual experience. In Brunson's value-ladder and offer-presentation approach, make the next relevant benefit understandable. In Hormozi's value framework, consider the desired result, perceived likelihood, time delay and required effort. See the Acquisition.com Value Equation and ClickFunnels hook/story/offer explanation. Neither framework means price becomes literally irrelevant or every added feature creates value.
First list: ten practical improvements
| Source tactic | Details to preserve and apply |
|---|---|
| Faster and more reliable delivery | The source suggests expedited shipping, same-day or next-day local delivery, guaranteed timelines and real-time tracking. Tempe/Phoenix is its location example, not a confirmed service area. Define the actual window, eligibility and exception process; tracking supports transparency but does not itself ensure timely delivery. |
| Help customers save money | Consider volume discounts, bundles, loyalty rewards, price matching, free-shipping thresholds and durability that reduces replacements. State genuine comparison prices and total costs. A discount or shipping threshold can reduce margin; measure net benefit instead of assuming a larger order is automatically better. |
| Improve quality or durability | Materials, features, warranties, extended guarantees and an antimicrobial-coating example appear in the source. Establish actual performance evidence and relevant terms before claiming a protective property. A warranty is a commitment, not proof that a product never fails. |
| Personalization and customization | Colors, engraving, configurations and need-based recommendations may improve fit. Specify the choices, lead time, price and limits. Emotional attachment is a possible response, not a guaranteed result of customization. |
| Customer service and support | Live chat, proactive follow-up, easy returns, priority phone support, quick-response teams, tutorials and setup help address different needs. Choose the service level you can fulfill. Document whether a channel provides information, problem resolution or implementation. |
| Education and expertise | Guides, videos, how-to resources, best-practice tips and newsletters help customers use the purchase. A resource creates value when it answers a real question and is usable, not merely because it increases the asset count. |
| Loyalty incentives | Points, exclusive discounts, early access, add-ons, thank-you gifts and referral bonuses are alternative reward mechanisms. Explain who qualifies, what is earned and any expiration or cost. Rewards should not replace delivery of the core promise. |
| Easier purchasing | One-click checkout, installments, buy-now-pay-later and subscriptions can reduce some friction. Make total cost, recurring terms and cancellation understandable. A faster checkout is not a reason to obscure the customer's commitment. |
| Complementary bundles | Accessories, maintenance kits, installation and related services can make a product more useful. List the contents and actual discount basis. Do not remove an essential part of the original promise merely to sell it as an extra. |
| Emotional and brand value | Story, distinctive benefits, packaging, authentic reviews, testimonials, exclusivity and community can influence perceived fit. Present genuine evidence and a truthful identity. Attractive packaging cannot compensate for an undelivered promise. |
The source suggests starting with two or three easy improvements, such as delivery or bundles, then refining from customer feedback. Treat that as a manageable starting heuristic, not a validated rule about the optimal number of changes. A few well-supported changes are easier to assess than an unmeasured collection of promises.
Second list: ten ways to extend the offer
| Source tactic | Details to preserve and apply |
|---|---|
| Velocity or speed | Examples include replacing a week with a 24-hour result, overnight shipping, instant digital access and one-hour service windows. Distinguish access speed from time to achieve the customer's outcome. Explain what operational change makes the promised speed possible. |
| Radical risk reversal | The source contrasts a standard 30-day guarantee with a 110% money-back outcome guarantee and compensation for lost time. These are examples, not recommended default terms. Define the trigger, scope, exclusions, evidence and financial exposure before adopting any commitment; no guarantee is created here. |
| Done-for-you work | Moving from a tool to implementation may reduce effort, but it also changes scope, access needs and capacity. The claim that people always pay more for convenience than information is unsupported. Test whether this audience values that service and at what sustainable price. |
| Direct financial return | The $1,000 saved and $5,000 earned figures are examples. Show the calculation, period, assumptions and attributable costs. A customer's possible return is not guaranteed merely because it exceeds the selling price. |
| Bonus value stack | Solve the next relevant problem with a complementary asset. The camera example pairs a quick-start guide or lens-cleaning kit with the core product. Explain the practical benefit instead of assigning an inflated dollar value. |
| Exclusive access or community | A private network, Slack channel or mastermind can provide useful connections. Define participation and actual support. Access to a group does not guarantee particular relationships, advice or business results. |
| Implementation support | Onboarding calls, office hours and an account manager can help customers use what they bought. Define the help available and measure whether it removes a real obstacle. The source's assertion that most buyers never use purchases is not established here. |
| Tailored solutions | Personalized reports, custom-fit hardware, niche-specific templates and adaptations to an industry or workflow can improve relevance. Identify which inputs are needed and which parts remain standard. Tailoring alone does not prove luxury value or willingness to pay. |
| Status and identity | Eco-friendly, high-tech or luxury positioning may matter to some customers. Support objective claims and avoid using status anxiety to conceal weak functionality. Let buyers evaluate whether the identity aligns with their priorities. |
| Continuity and future support | Lifetime updates, grandfathered prices and ongoing maintenance are different commitments. Define duration, eligible versions, service limits and actual funding. Continuing value should help customers, not make them feel trapped in a relationship. |
The source's hidden-cost prompt asks you to consider time, frustration and mental energy before the customer gets a result. Use interviews, observation or support evidence to identify those costs. Do not invent a monetary value for frustration merely to make an offer appear cheaper.
Third list: ten implementation-oriented combinations
| Source tactic | Details to preserve and apply |
|---|---|
| Speed and convenience | The examples combine 24–48-hour starts with done-for-you setup, templates and checklists. Specify what begins within that window and what later work is required. A checklist can simplify a task only when its instructions are complete. |
| Risk removal | Examples include 14-day or 30-day money-back terms, cancellation during a trial, and a performance promise that supplies extra support or a one-to-one call if a defined result is not achieved. These are distinct policies and should not be blended into an ambiguous guarantee. |
| Focused bonuses | The source proposes two or three swipe files, scripts, audits or mini-courses, plus time-limited founder calls, SOP packs or private Q&A. Tie each to a real obstacle and honor any genuine deadline; more bonuses do not necessarily mean a better offer. |
| Personalized help | A short one-to-one call, Loom review, audit or implementation roadmap can address agency size, niche or revenue context. Define what the review covers and how recommendations are checked. Do not assume a short call resolves every customer problem. |
| Ongoing support and community | Private groups, weekly office hours, Q&A and searchable updated SOP libraries serve different purposes. Keep the library current and make the actual schedule and response boundaries visible. |
| Financial usefulness | Explain whether the offer can increase revenue, reduce cost or reduce a particular risk. ROI calculators, pricing sheets and deal templates need transparent assumptions; providing a calculator does not validate its inputs or guarantee the result. |
| Clarity and simplicity | A guided start-here sequence and a clear main offer with one upgrade may reduce confusion. Test comprehension instead of treating fewer choices as universally optimal. A simple presentation must still include essential scope and terms. |
| Access and flexibility | Pay-in-full, installments, BNPL, lifetime access, recordings and replays address different constraints. State the actual total cost and access duration. Flexibility should not conceal future payments or unsupported lifetime commitments. |
| Proof and confidence | Relevant testimonials, case studies, before/after examples, behind-the-scenes demonstrations and sample modules can help evaluation. Keep examples authentic and representative, identify limitations and distinguish a sample from proof of typical results. |
| Positioning and exclusivity | Niche relevance, limited seats, cohorts and founder perks can clarify who the offer fits. Seat limits and exclusivity require a real basis. Belonging should not be manufactured through false claims about membership or demand. |
The numbered citation markers in this third list are preserved in the original appendix. They do not establish that every linked page supports every specific claim. The resource review below separates relevant marketing material from unrelated or unavailable citations.
Fourth list: ten concise service promises
| Source tactic | Details to preserve and apply |
|---|---|
| Faster delivery | Same-day, next-day and guaranteed windows must reflect actual capacity. Compare reliability as well as speed; do not claim competitors routinely fail without evidence. |
| Save money | Bundle deals, loyalty discounts, bulk pricing and ROI explanations each require a clear baseline. Measure savings after added costs rather than using an attractive discount percentage alone. |
| Better guarantee | Warranties, hassle-free returns and money-back terms reduce different uncertainties. Explain the actual process and obligations; a stronger-sounding promise can create unsustainable exposure. |
| Done-for-you setup | Installation, onboarding and implementation transfer particular tasks to the seller. Define the exact responsibility boundary and customer inputs before promising a hands-off experience. |
| Ongoing human support | The source suggests 24/7 access, dedicated representatives and a real person on the phone. These require staffing and service definitions. A human channel is not automatically superior for every need; measure resolution and customer preference. |
| Customization | Tailor the offer to specific needs when the added value justifies the complexity. State what can change and what cannot. A premium price needs evidence of willingness to pay. |
| Education and expertise | Tutorials, guides, consultations and training should help the buyer accomplish the intended task. Check use and understanding rather than assume content distribution creates loyalty. |
| Exclusive access | Early releases, member perks and useful information require a real entitlement and delivery process. Avoid implying secret advantages that the business cannot substantiate. |
| Save time | Automating a task, eliminating a step or consolidating vendors can reduce work. Check setup, maintenance and exception-handling time as well as the recurring saving. Consolidation can also create dependency and should fit the customer's needs. |
| Peace of mind | Certifications, social proof, transparent pricing and proactive communication address different concerns. Verify certifications and testimonial context; reassurance is not a substitute for actual delivery quality. |
The closing combination is fast delivery plus a sound guarantee and real support. Treat it as a candidate design, not proof that competitors cannot match it. The embedded invitations to tailor an offer are retained source text; no campaign, support promise or automation is activated by reading this lesson.
Choose, cost and test an improvement
As authored practice, identify one documented customer obstacle, choose a relevant tactic and explain how it should help. Define the new work, cost, owner and evidence of success. Compare the customer's benefit with fulfillment capacity and contribution margin. Measure both intended outcomes and unintended consequences, such as extra support demand or increased refunds.
Present the offer clearly: what is included, why it matters, what is optional, what the customer must do and which conditions apply. When comparing values, distinguish actual separate selling prices from hypothetical estimates. Do not add unrelated extras simply to inflate the apparent stack. Keep unsuccessful tests in the record so the next decision reflects evidence rather than only favorable stories.
Complete citation inventory and access notes
The source contains the following fifteen links. They remain clickable for traceability. An accessible title is not a full review, and unrelated links are not endorsements of the marketing claims.
- Fenix Commerce delivery-promise article URL — returned generic site navigation, not the cited article body.
- US Data: Value Driven Offers — accessible marketing discussion of outcomes, nonfinancial costs, transparency and clarity; its general claims are not performance evidence for RISER.
- BrandShop: bonuses and guarantees — relevant marketing article, partially reviewed; no claim that its conversion language establishes expected results.
- Reddit discussion of providing prospect value — accessible discussion, not a validated research study; full thread review is not established.
- Forbes: creating high-value offers — content unavailable during review.
- Mountain America: home-purchase offers — home-buying context, not direct support for a course value stack.
- NAR: improving the odds of a property offer — redirects to the current NAR news path; property-selling guidance, not proof of the cited marketing tactics.
- SalesRemastered value-stack video — unavailable; no audio, video or transcript reviewed.
- Home-smell hacks video — unavailable and apparently unrelated by its source title.
- Chicotsky: competitive home offers — property-purchase context with dated market examples; not direct support for the value-stack claims.
- Value-stacking marketing video — unavailable; no transcript reviewed.
- Preston Rutherford: marketing-team incentives — discusses employee incentives, a different use of “bonus” from customer offer extras.
- Forbes: home fragrances — accessible via redirect; unrelated home-scent advice rather than evidence for a marketing value stack.
- Make your offer stand out video — unavailable; its content and relevance are unverified.
- Nick Gulic: introduction to value stacking — relevant commentary that cautions against inflated values, itemized commodity comparisons and haggling, and emphasizes useful outcomes and credible prices.
The unavailable video references remain explicit media-review gaps for final Unused reconciliation. The two Yahoo Mail signature links are original email metadata, not lesson recommendations; they remain with the preserved source rather than being presented as value-building resources.
Read the assigned complete value-building document. Its complete native text, citation list and embedded signature links are retained alongside this teaching. The four inventories are design options to evaluate, not a claim that all forty should be implemented.
Assigned source links
Original tables and embedded resource links
Original embedded hyperlink spans:
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Here are the **top 10 practical ways** to add value to what you sell. These build on your examples of **faster delivery** and **saving customers money**, while including other high-impact strategies that boost perceived worth, loyalty, and willingness to pay more (or buy more often).
1. **Faster and More Reliable Delivery**
Offer expedited shipping options, same-day or next-day delivery in your area (like Tempe/Phoenix), or guaranteed timelines. Customers love time savings—pair it with real-time tracking for transparency. This directly reduces their hassle and waiting.
2. **Help Customers Save Money**
Provide volume discounts, bundle deals, loyalty rewards, or price-match guarantees. Show clear savings (e.g., "This bundle saves you $X compared to buying separately" or "Free shipping on orders over $Y"). Highlight long-term cost reductions, like durable products that need fewer replacements.
3. **Enhance Product Quality or Durability**
Improve materials, add features, or include built-in protections (e.g., warranties, extended guarantees, or antimicrobial coatings if relevant). Customers perceive higher quality as better long-term value, even if the base price is similar.
4. **Personalization and Customization**
Let buyers tailor the product (colors, engraving, configurations) or offer personalized recommendations based on their needs. This makes the purchase feel unique and thoughtful, increasing emotional attachment and satisfaction.
5. **Superior Customer Service and Support**
Add live chat, proactive follow-ups, easy returns, or dedicated support (e.g., priority phone lines or quick-response teams). Go beyond basics with tutorials, setup help, or ongoing advice—this builds trust and reduces buyer risk.
6. **Educational Content and Expertise**
Include free guides, video tutorials, how-to resources, or best-practice tips related to your product. Share insights via email newsletters or your site. This positions you as a helpful expert, making your offering more valuable than a "just the product" competitor.
7. **Loyalty Programs and Incentives**
Reward repeat buyers with points, exclusive discounts, early access to new items, or free add-ons. Simple perks like a thank-you gift or referral bonuses encourage bigger/more frequent purchases.
8. **Convenience and Ease of Purchase**
Streamline the buying process with one-click checkout, flexible payments (installments, buy-now-pay-later), or subscription options for consumables. Reduce friction at every step so customers feel they're getting a seamless, hassle-free experience.
9. **Bundling Complementary Items or Services**
Package your main product with useful extras (accessories, maintenance kits, installation, or related services) at a perceived discount. This increases the overall utility and makes the deal feel like more bang for the buck.
10. **Build Emotional and Brand Value**
Tell your story, emphasize unique benefits, use high-quality packaging, or highlight social proof (reviews, testimonials). Create a sense of exclusivity or community. Customers often pay more for brands that make them feel good or aligned with their values.
These strategies work across products and services—focus on what your specific customers care about most (ask for feedback to refine them). Start with 2-3 that are easiest to implement, like faster shipping or bundles, then layer on others. The goal is to shift from competing on price alone to competing on total value, which can justify higher margins and stronger loyalty.
Increasing value isn't always about lowering the price; in fact, it’s often about making the price irrelevant by solving a bigger problem or moving faster.
Here are the top 10 ways to stack value onto what you sell:
1. The "Velocity" Factor (Speed)
In a world of instant gratification, speed is a premium. If you can deliver a result in 24 hours that usually takes a week, you haven't just added value; you've created a different product.
* Example: Overnight shipping, "Instant access" digital portals, or 1-hour service windows.
2. Radical Risk Reversal
Take the "what if it fails?" anxiety off the buyer and put it on yourself. A standard 30-day guarantee is common; a "110% money-back if you don’t see X result" is a value powerhouse.
* Example: Guarantees that cover not just the cost, but the user's lost time.
3. The "Done-For-You" (DFY) Component
Moving a customer from "here is a tool" to "I will do this for you" is the highest leap in value. People will always pay more for convenience and saved effort than they will for information.
4. Direct Financial ROI
If your product saves someone $1,000 or helps them make $5,000, your price becomes an investment rather than an expense. Quantify the savings or the earnings clearly.
5. Bonus Bundling (The "Value Stack")
Add complementary products or services that solve the next problem the customer will have after using your main product.
* Example: If you sell a camera, include a "Quick Start Guide" or a free lens cleaning kit.
6. Exclusive Access or Community
Value often lies in who else is in the room. Providing access to a private network, a Slack channel, or a mastermind group adds a social and professional layer that a standalone product lacks.
7. Implementation Support
Most people buy things and never use them. By offering onboarding calls, "Office Hours," or a dedicated account manager, you ensure they actually get the value they paid for.
8. Customization & Personalization
A "one-size-fits-all" solution is a commodity. A solution tailored to their specific industry, name, or workflow feels like a luxury.
* Example: Personalized reports, custom-fit hardware, or niche-specific software templates.
9. Status and Identity
Value can be psychological. If owning your product makes the buyer feel like part of an elite group or aligns with their personal brand (e.g., eco-friendly, high-tech, luxury), they will value it more.
10. Continuity and Future-Proofing
Ensure the value doesn't end the moment the transaction does. Offer lifetime updates, "Grandfathered" pricing, or ongoing maintenance to keep the customer locked into a high-value loop.
> Pro Tip: The most effective way to add value is to address the "hidden costs"—the time, frustration, and mental energy your customer spends before they get the result they want.
>
Give me the top 10 ways to ad value to what I sell...like, faster delivery, save more money...
Here are 10 “plug-and-play” ways to add **value** to anything you sell, without just lowering the price.
## 1. Speed and convenience
- Faster delivery or “priority processing” (e.g., 24–48 hour start instead of a week). [1]
- Done-for-you setup, templates, or checklists so they get results faster with less effort. [2]
## 2. Risk removal (guarantees)
- Clear money-back guarantee (30 days, 14 days, or “try it for X days, cancel anytime”). [3]
- Performance-based promise: “If you don’t get X result, we’ll Y” (extra support, 1:1 call, etc.). [3]
## 3. Smart bonuses and “and more”
- Add 2–3 focused bonuses that solve side problems (swipe files, scripts, audits, mini-courses). [3]
- Time-limited bonuses for fast action (e.g., “Founders” call, extra SOP pack, private Q&A). [3]
## 4. Personalized help
- Short 1:1 call, Loom review, or personalized audit for buyers. [2]
- Implementation roadmap tailored to their situation (agency size, niche, revenue band). [2]
## 5. Ongoing support and community
- Private community, weekly office hours, or Q&A calls so they’re not “on their own.” [3]
- Access to a searchable SOP or resource library that updates over time. [2]
## 6. Save or make more money
- Show exactly how your thing helps them make money, save money, or reduce risk (spelled out in bullets). [4]
- Include ROI calculators, plug-and-play pricing sheets, or deal-structure templates. [4]
## 7. Clarity and simplicity
- Simple, guided path: “Start here → do this → next step” instead of a pile of stuff. [2]
- Fewer choices at checkout (one main offer, one clear upgrade) so saying yes feels easy. [2]
## 8. Better access and flexibility
- Multiple payment options (pay in full, installments, BNPL) without discounting the core price. [3]
- Lifetime access, recordings, or replays so they don’t fear “falling behind.” [3]
## 9. Proof and confidence
- Strong testimonials, case studies, or “before/after” examples that match their situation. [5]
- Behind-the-scenes walkthroughs or sample modules so they can “try before they fully buy.” [5]
## 10. Positioning and exclusivity
- “For people like you” positioning: niche the offer so it feels built just for them. [2]
- Limited seats, cohorts, or founder perks that feel like joining a tribe, not buying a random product. [3]
If you tell me what specific offer you’re selling right now (course, membership, service, etc.), I can turn these into a concrete “value stack” for that one offer.
Citations:
[1] E-commerce Delivery Promises: Mastering Strategies to Boost Sales https://fenixcommerce.com/BlogPost?slug=delivery-promise-as-a-marketing-tool
[2] Value Driven Offers, Done Right, Help People Say Yes https://www.usdatacorporation.com/blog/value-driven-offers-done-right-help-people-say-yes/
[3] Adding Bonuses and Guarantees That Skyrocket Conversions https://hellobrandshop.com/the-and-more-advantage-adding-bonuses-and-guarantees-that-skyrocket-conversions/
[4] Everyone talks about "providing value" to prospects during the sales ... https://www.reddit.com/r/sales/comments/11mu88b/everyone_talks_about_providing_value_to_prospects/
[5] Four Simple Steps To Creating High-Value Offers That Sell - Forbes https://www.forbes.com/councils/forbesbusinesscouncil/2021/01/21/four-simple-steps-to-creating-high-value-offers-that-sell/
[6] 10 Creative Ways to Make Your Home Purchase Offer Stand Out https://www.macu.com/must-reads/mortgage/make-your-home-purchase-offer-stand-out-fined
[7] How to Improve the Odds of an Offer https://www.nar.realtor/magazine/tools/client-education/handouts-for-sellers/how-to-improve-the-odds-of-an-offer
[8] Some Examples of A Value Stack | @SalesRemastered - YouTube https://www.youtube.com/watch?v=ZrREPEKaAG8
[9] 10 Life-Changing Home Hacks That Will Make It Smell Amazing! https://www.youtube.com/watch?v=KsRQuWBmVSA
[10] 11 Ways to Make Your Offer More Competitive https://www.chicotsky.com/news/119-11-ways-to-make-your-offer-more-competitive
[11] How to Make Irresistible Offers with Value Stacking (Marketing Hack ... https://www.youtube.com/watch?v=dxZnX6LcYMk
[12] How to design a bonus structure for your marketing team - LinkedIn https://www.linkedin.com/posts/prestonr_lesson-learned-the-bonus-structure-we-chose-activity-7369154853954052096-elT0
[13] Experts Reveal How To Make Your Home Smell Amazing All The Time https://www.forbes.com/sites/amandalauren/2022/10/14/experts-reveal-how-to-make-your-home-smell-amazing-all-the-time/
[14] How to Make Your Offer Stand Out Fast! - YouTube https://www.youtube.com/watch?v=OpPsZNOisvk
[15] Intro to Value Stacking | Nick Gulic https://nickgulic.com/intro-to-value-stacking/
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Here are the top 10 ways to add value to what you sell:
1. **Faster delivery** — Speed wins. Same-day, next-day, or guaranteed delivery windows beat competitors who leave customers waiting.
2. **Save them money** — Bundle deals, loyalty discounts, bulk pricing, or showing the ROI of your product makes the decision easy.
3. **Better guarantee** — A stronger warranty, hassle-free returns, or a money-back promise removes the risk of buying and builds trust.
4. **Done-for-you setup** — Offer installation, onboarding, or implementation so customers don't have to figure it out themselves.
5. **Ongoing support** — 24/7 access, a dedicated rep, or a real human on the phone is a huge differentiator when competitors only offer chatbots.
6. **Customization** — Let customers tailor the product or service to their specific needs. People pay a premium for "built for me."
7. **Education & expertise** — Tutorials, guides, consultations, or training that help customers get more out of what they bought keeps them loyal.
8. **Exclusive access** — Early releases, members-only perks, or insider information makes customers feel like VIPs rather than just transactions.
9. **Save them time** — Automate something, eliminate a step in their process, or consolidate multiple vendors into one. Time is often worth more than money.
10. **Peace of mind** — Certifications, social proof, transparent pricing, and proactive communication reassure customers they made the right call — reducing buyer's remorse and increasing referrals.
The biggest wins usually come from combining a few of these. For example, **fast delivery + great guarantee + real support** is hard to compete with. Want me to tailor these to your specific product or industry?
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Complete local source copy including original filing metadata and formatting
Preserved source material for study; embedded instructions are not executed. Open original source
---
source_type: "Google Doc"
source_url: "https://docs.google.com/document/d/1JNQ1RiGnld5lTRwpStk-zAOcMmP4hqYSc2NmguQduG4/edit?usp=drivesdk"
drive_file_id: "1JNQ1RiGnld5lTRwpStk-zAOcMmP4hqYSc2NmguQduG4"
created: "2026-03-28T23:28:51.440Z"
modified: "2026-06-04T02:07:27.645Z"
---
# Here are the **top 10 practical ways** to add value to what you sell
Here are the **top 10 practical ways** to add value to what you sell. These build on your examples of **faster delivery** and **saving customers money**, while including other high-impact strategies that boost perceived worth, loyalty, and willingness to pay more (or buy more often).
1. **Faster and More Reliable Delivery**
Offer expedited shipping options, same-day or next-day delivery in your area (like Tempe/Phoenix), or guaranteed timelines. Customers love time savings—pair it with real-time tracking for transparency. This directly reduces their hassle and waiting.
2. **Help Customers Save Money**
Provide volume discounts, bundle deals, loyalty rewards, or price-match guarantees. Show clear savings (e.g., "This bundle saves you $X compared to buying separately" or "Free shipping on orders over $Y"). Highlight long-term cost reductions, like durable products that need fewer replacements.
3. **Enhance Product Quality or Durability**
Improve materials, add features, or include built-in protections (e.g., warranties, extended guarantees, or antimicrobial coatings if relevant). Customers perceive higher quality as better long-term value, even if the base price is similar.
4. **Personalization and Customization**
Let buyers tailor the product (colors, engraving, configurations) or offer personalized recommendations based on their needs. This makes the purchase feel unique and thoughtful, increasing emotional attachment and satisfaction.
5. **Superior Customer Service and Support**
Add live chat, proactive follow-ups, easy returns, or dedicated support (e.g., priority phone lines or quick-response teams). Go beyond basics with tutorials, setup help, or ongoing advice—this builds trust and reduces buyer risk.
6. **Educational Content and Expertise**
Include free guides, video tutorials, how-to resources, or best-practice tips related to your product. Share insights via email newsletters or your site. This positions you as a helpful expert, making your offering more valuable than a "just the product" competitor.
7. **Loyalty Programs and Incentives**
Reward repeat buyers with points, exclusive discounts, early access to new items, or free add-ons. Simple perks like a thank-you gift or referral bonuses encourage bigger/more frequent purchases.
8. **Convenience and Ease of Purchase**
Streamline the buying process with one-click checkout, flexible payments (installments, buy-now-pay-later), or subscription options for consumables. Reduce friction at every step so customers feel they're getting a seamless, hassle-free experience.
9. **Bundling Complementary Items or Services**
Package your main product with useful extras (accessories, maintenance kits, installation, or related services) at a perceived discount. This increases the overall utility and makes the deal feel like more bang for the buck.
10. **Build Emotional and Brand Value**
Tell your story, emphasize unique benefits, use high-quality packaging, or highlight social proof (reviews, testimonials). Create a sense of exclusivity or community. Customers often pay more for brands that make them feel good or aligned with their values.
These strategies work across products and services—focus on what your specific customers care about most (ask for feedback to refine them). Start with 2-3 that are easiest to implement, like faster shipping or bundles, then layer on others. The goal is to shift from competing on price alone to competing on total value, which can justify higher margins and stronger loyalty.
Increasing value isn't always about lowering the price; in fact, it’s often about making the price irrelevant by solving a bigger problem or moving faster.
Here are the top 10 ways to stack value onto what you sell:
1. The "Velocity" Factor (Speed)
In a world of instant gratification, speed is a premium. If you can deliver a result in 24 hours that usually takes a week, you haven't just added value; you've created a different product.
* Example: Overnight shipping, "Instant access" digital portals, or 1-hour service windows.
2. Radical Risk Reversal
Take the "what if it fails?" anxiety off the buyer and put it on yourself. A standard 30-day guarantee is common; a "110% money-back if you don’t see X result" is a value powerhouse.
* Example: Guarantees that cover not just the cost, but the user's lost time.
3. The "Done-For-You" (DFY) Component
Moving a customer from "here is a tool" to "I will do this for you" is the highest leap in value. People will always pay more for convenience and saved effort than they will for information.
4. Direct Financial ROI
If your product saves someone $1,000 or helps them make $5,000, your price becomes an investment rather than an expense. Quantify the savings or the earnings clearly.
5. Bonus Bundling (The "Value Stack")
Add complementary products or services that solve the next problem the customer will have after using your main product.
* Example: If you sell a camera, include a "Quick Start Guide" or a free lens cleaning kit.
6. Exclusive Access or Community
Value often lies in who else is in the room. Providing access to a private network, a Slack channel, or a mastermind group adds a social and professional layer that a standalone product lacks.
7. Implementation Support
Most people buy things and never use them. By offering onboarding calls, "Office Hours," or a dedicated account manager, you ensure they actually get the value they paid for.
8. Customization & Personalization
A "one-size-fits-all" solution is a commodity. A solution tailored to their specific industry, name, or workflow feels like a luxury.
* Example: Personalized reports, custom-fit hardware, or niche-specific software templates.
9. Status and Identity
Value can be psychological. If owning your product makes the buyer feel like part of an elite group or aligns with their personal brand (e.g., eco-friendly, high-tech, luxury), they will value it more.
10. Continuity and Future-Proofing
Ensure the value doesn't end the moment the transaction does. Offer lifetime updates, "Grandfathered" pricing, or ongoing maintenance to keep the customer locked into a high-value loop.
> Pro Tip: The most effective way to add value is to address the "hidden costs"—the time, frustration, and mental energy your customer spends before they get the result they want.
>
Give me the top 10 ways to ad value to what I sell...like, faster delivery, save more money...
Here are 10 “plug-and-play” ways to add **value** to anything you sell, without just lowering the price.
## 1. Speed and convenience
- Faster delivery or “priority processing” (e.g., 24–48 hour start instead of a week). [1]
- Done-for-you setup, templates, or checklists so they get results faster with less effort. [2]
## 2. Risk removal (guarantees)
- Clear money-back guarantee (30 days, 14 days, or “try it for X days, cancel anytime”). [3]
- Performance-based promise: “If you don’t get X result, we’ll Y” (extra support, 1:1 call, etc.). [3]
## 3. Smart bonuses and “and more”
- Add 2–3 focused bonuses that solve side problems (swipe files, scripts, audits, mini-courses). [3]
- Time-limited bonuses for fast action (e.g., “Founders” call, extra SOP pack, private Q&A). [3]
## 4. Personalized help
- Short 1:1 call, Loom review, or personalized audit for buyers. [2]
- Implementation roadmap tailored to their situation (agency size, niche, revenue band). [2]
## 5. Ongoing support and community
- Private community, weekly office hours, or Q&A calls so they’re not “on their own.” [3]
- Access to a searchable SOP or resource library that updates over time. [2]
## 6. Save or make more money
- Show exactly how your thing helps them make money, save money, or reduce risk (spelled out in bullets). [4]
- Include ROI calculators, plug-and-play pricing sheets, or deal-structure templates. [4]
## 7. Clarity and simplicity
- Simple, guided path: “Start here → do this → next step” instead of a pile of stuff. [2]
- Fewer choices at checkout (one main offer, one clear upgrade) so saying yes feels easy. [2]
## 8. Better access and flexibility
- Multiple payment options (pay in full, installments, BNPL) without discounting the core price. [3]
- Lifetime access, recordings, or replays so they don’t fear “falling behind.” [3]
## 9. Proof and confidence
- Strong testimonials, case studies, or “before/after” examples that match their situation. [5]
- Behind-the-scenes walkthroughs or sample modules so they can “try before they fully buy.” [5]
## 10. Positioning and exclusivity
- “For people like you” positioning: niche the offer so it feels built just for them. [2]
- Limited seats, cohorts, or founder perks that feel like joining a tribe, not buying a random product. [3]
If you tell me what specific offer you’re selling right now (course, membership, service, etc.), I can turn these into a concrete “value stack” for that one offer.
Citations:
[1] E-commerce Delivery Promises: Mastering Strategies to Boost Sales https://fenixcommerce.com/BlogPost?slug=delivery-promise-as-a-marketing-tool
[2] Value Driven Offers, Done Right, Help People Say Yes https://www.usdatacorporation.com/blog/value-driven-offers-done-right-help-people-say-yes/
[3] Adding Bonuses and Guarantees That Skyrocket Conversions https://hellobrandshop.com/the-and-more-advantage-adding-bonuses-and-guarantees-that-skyrocket-conversions/
[4] Everyone talks about "providing value" to prospects during the sales ... https://www.reddit.com/r/sales/comments/11mu88b/everyone_talks_about_providing_value_to_prospects/
[5] Four Simple Steps To Creating High-Value Offers That Sell - Forbes https://www.forbes.com/councils/forbesbusinesscouncil/2021/01/21/four-simple-steps-to-creating-high-value-offers-that-sell/
[6] 10 Creative Ways to Make Your Home Purchase Offer Stand Out https://www.macu.com/must-reads/mortgage/make-your-home-purchase-offer-stand-out-fined
[7] How to Improve the Odds of an Offer https://www.nar.realtor/magazine/tools/client-education/handouts-for-sellers/how-to-improve-the-odds-of-an-offer
[8] Some Examples of A Value Stack | @SalesRemastered - YouTube https://www.youtube.com/watch?v=ZrREPEKaAG8
[9] 10 Life-Changing Home Hacks That Will Make It Smell Amazing! https://www.youtube.com/watch?v=KsRQuWBmVSA
[10] 11 Ways to Make Your Offer More Competitive https://www.chicotsky.com/news/119-11-ways-to-make-your-offer-more-competitive
[11] How to Make Irresistible Offers with Value Stacking (Marketing Hack ... https://www.youtube.com/watch?v=dxZnX6LcYMk
[12] How to design a bonus structure for your marketing team - LinkedIn https://www.linkedin.com/posts/prestonr_lesson-learned-the-bonus-structure-we-chose-activity-7369154853954052096-elT0
[13] Experts Reveal How To Make Your Home Smell Amazing All The Time https://www.forbes.com/sites/amandalauren/2022/10/14/experts-reveal-how-to-make-your-home-smell-amazing-all-the-time/
[14] How to Make Your Offer Stand Out Fast! - YouTube https://www.youtube.com/watch?v=OpPsZNOisvk
[15] Intro to Value Stacking | Nick Gulic https://nickgulic.com/intro-to-value-stacking/
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Forward
Here are the top 10 ways to add value to what you sell:
1. **Faster delivery** — Speed wins. Same-day, next-day, or guaranteed delivery windows beat competitors who leave customers waiting.
2. **Save them money** — Bundle deals, loyalty discounts, bulk pricing, or showing the ROI of your product makes the decision easy.
3. **Better guarantee** — A stronger warranty, hassle-free returns, or a money-back promise removes the risk of buying and builds trust.
4. **Done-for-you setup** — Offer installation, onboarding, or implementation so customers don't have to figure it out themselves.
5. **Ongoing support** — 24/7 access, a dedicated rep, or a real human on the phone is a huge differentiator when competitors only offer chatbots.
6. **Customization** — Let customers tailor the product or service to their specific needs. People pay a premium for "built for me."
7. **Education & expertise** — Tutorials, guides, consultations, or training that help customers get more out of what they bought keeps them loyal.
8. **Exclusive access** — Early releases, members-only perks, or insider information makes customers feel like VIPs rather than just transactions.
9. **Save them time** — Automate something, eliminate a step in their process, or consolidate multiple vendors into one. Time is often worth more than money.
10. **Peace of mind** — Certifications, social proof, transparent pricing, and proactive communication reassure customers they made the right call — reducing buyer's remorse and increasing referrals.
The biggest wins usually come from combining a few of these. For example, **fast delivery + great guarantee + real support** is hard to compete with. Want me to tailor these to your specific product or industry?
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Understand the offer-system generator before using its scaffolds
RISER NATION CORP — IF YOU AREN'T BUILDING, YOU ARE DESTROYING
What the script creates—and what still needs work
The assigned Google Doc contains an Apps Script folder/file generator and an embedded “Version 2 — Elite Offer Architect” prompt. It proposes a Drive root named `IRRESISTIBLE_OFFER_OS`, placeholder documents and sheets, and two populated prompt files. Creating folders and placeholders does not create validated offers, working campaigns, Trello synchronization, running agents or a completed course. No code from this source is executed by this lesson.
The source's setup sequence is to open Google Apps Script, paste the script, optionally set `PARENT_FOLDER_ID`, run `createIrresistibleOfferOS()` and authorize the requested permissions. Treat that as the source's proposed workflow, not a claim that the unmodified script has been tested against your account. Review permissions, API compatibility, file types, duplicate names, overwrite behavior and recovery before any real use.
`PARENT_FOLDER_ID` defaults to an empty string. `FORCE_OVERWRITE_PROMPT` defaults to false. The first selects a parent or My Drive root; the second controls replacement of the two prompt files only. It is not a universal rollback mechanism or proof that all operations are harmless. The script performs real file creation and, in some paths, moves, trashing or content replacement if run.
Understand all ten top-level areas
| Folder | Intended use and actual generated state |
|---|---|
| `00_SYSTEM_CONTROL` | Holds overview, map, version and automation documentation, a KPI placeholder and the master prompt. It organizes intended governance; it does not enforce governance. |
| `01_INPUT_PIPELINE` | Holds source inputs in separate folders. No intake, scraping, transcription or validation pipeline is implemented. |
| `02_OFFER_ENGINE` | Holds nine groups of offer-development placeholders. The embedded prompt can guide drafting, but no model is called by the script. |
| `03_CONTENT_MACHINE` | Holds content-format folders. No landing pages, videos, emails or ads are authored merely by creating them. |
| `04_AUTOMATIONS` | Holds workflow and prompt folders. It does not connect Make, n8n, Zapier, agents or webhooks. |
| `05_TRELLO_SYNC` | Holds board-map placeholders, card templates and checklists. It contains no Trello API synchronization. |
| `06_COURSE_BUILD` | Holds nine module folders plus slides, worksheets and exercises. Those legacy modules do not replace the current 12-course spreadsheet. |
| `07_TESTING_OPTIMIZATION` | Holds tests, heatmaps, feedback, objections, iterations and a metrics placeholder. No experiment or measurement is run. |
| `08_SCALING_AUTHORITY` | Holds future offer and distribution planning folders. None proves an operating partnership, affiliate system or high-ticket offer. |
| `09_ARCHIVE` | Creates an archive folder. It does not implement retention, version history or backup restoration. |
Populate the control and input areas deliberately
The control documents are `system_overview.md`, `folder_map_index.md`, `version_log.md`, `automation_map.md` and `trello_board_map.md`; `kpi_dashboard_sheet.xlsx` is a spreadsheet placeholder. Use them respectively to describe purpose, locate assets, record changes, describe proposed integrations and map board structure. The generator does not supply those completed explanations or actual KPI calculations.
The input folders are `raw_ideas`, `market_research`, `competitor_assets`, `customer_interviews`, `transcripts`, `images`, `websites` and `docs`. Their separation can preserve provenance. As authored application, record source, date, access conditions and what was actually reviewed before using an input. A folder labeled transcripts does not establish that an audio recording has been transcribed accurately, and a competitor asset is not automatically licensed for reuse.
Use all nine offer-development groups
02.1 Strategic Diagnosis: `diagnosis_summary.md` summarizes the current evidence; `buyer_avatar.md` defines the intended buyer; `pain_map.md` and `aspiration_map.md` distinguish difficulties from desired changes; `problem_cost_analysis.md` records a supported cost model; and `competitive_landscape.md` compares actual alternatives. All begin as placeholders, so unsupported customer facts should remain unknown or hypotheses.
02.2 Big Four Framework: the four question files are `Q1_What_Are_You_Selling.md`, `Q2_How_Much.md`, `Q3_Why_Believe_You.md` and `Q4_Whats_In_It_For_Me.md`. `combined_big_four_master.md` brings the answers together. Define the actual product, price and terms, credible evidence and useful customer benefit. Do not answer the proof question by inventing authority.
02.3 High ROI Engineering: `roi_tangible.md`, `roi_intangible.md`, `roi_compounding.md`, `loss_avoidance.md` and `opportunity_cost.md` separate different kinds of possible return. `roi_math_model.xlsx` is a blank native Sheet, not a validated calculator. Monetary, subjective and hypothetical benefits must not be added as if they were interchangeable measured cash flows.
02.4 Touchstone Lab: `touchstone_v1.md`, `touchstone_v2.md` and `touchstone_variants.md` hold alternative concise messages; `hook_matrix.md` organizes openings; `touchstone_testing.xlsx` is a testing placeholder. Explain the message's promised value and compare understanding, not attention alone. Version labels do not imply any version has been tested.
02.5 Believability Architecture: `authority_stack.md`, `credentials.md`, `logic_rationale.md`, `risk_reversal.md` and `why_this_offer_exists.md` address expertise, proof, reasoning, commitments and origin. The `case_studies` and `proof_assets` folders hold supporting material only when genuine evidence is added. Credentials and testimonials cannot be generated as facts from a prompt.
02.6 Logic and Emotion Alignment: `emotional_driver.md`, `logical_justification.md`, `decision_map.md` and `identity_shift.md` distinguish motivation, reasons, decision process and hoped-for identity. Use actual customer evidence where available. Do not diagnose hidden insecurity or promise an identity transformation from a brief input.
02.7 Offer Intensifiers: `bonus_stack.md`, `guarantee_versions.md`, `delivery_acceleration.md`, `scarcity_real.md`, `exclusivity_layer.md` and `premium_upgrade.md` hold proposed additions. Tie bonuses to useful needs, cost guarantees, verify faster delivery capacity and use only real limitations. A filename containing “real” does not validate scarcity.
02.8 Final Offer Output: `offer_master_document.md` and `offer_summary.md` hold full and shorter descriptions. `headline_versions.md`, `30_second_pitch.md`, `10_second_pitch.md`, `3_second_pitch.md`, `one_sentence_offer.md` and `elevator_pitch.md` adapt the explanation to different lengths. Each version should preserve the same material scope and conditions rather than becoming more exaggerated as it gets shorter.
02.9 Offer Continuum Positioning: `market_positioning.md`, `differentiation_map.md`, `authority_path.md` and `offer_evolution_plan.md` document comparison, relevant difference and possible development. These are plans to test, not proof of market leadership or a guaranteed growth path.
Complete the remaining folder inventories
The content folders are `landing_pages`, `vsl_scripts`, `webinar_scripts`, `email_sequences`, `social_media`, `youtube`, `short_form`, `blog_posts`, `ad_copy`, `retargeting_copy` and `funnel_map`. Adapt a consistent source message to each format's purpose. Creating them neither publishes content nor licenses third-party media.
The automation folders are `make_scenarios`, `n8n_workflows`, `zapier_zaps`, `prompt_library`, `gpt_agents`, `claude_agents`, `webhooks` and `data_sync`. They identify intended storage for future implementation. Actual workflows need defined inputs, outputs, credentials, permissions, error handling and verification. No running integration is present in the source script.
Trello planning creates `offer_pipeline_board_map.md`, `content_production_board_map.md`, `testing_board_map.md`, plus `card_templates` and `checklists`. Define statuses, owners and acceptance evidence before treating a board map as an operational process. No cards or boards are created by this script.
The course folders are `module_1_strategic_diagnosis`, `module_2_big_four`, `module_3_high_roi`, `module_4_touchstone`, `module_5_believability`, `module_6_logic_emotion`, `module_7_intensifiers`, `module_8_final_offer`, `module_9_scaling`, `slides`, `worksheets` and `exercises`. There are nine module folders but ten prompt phases below. Their numbers do not align one-to-one; for example, the prompt's phase seven is viability, not the seventh folder's intensifiers. Preserve this difference and follow the current spreadsheet for lesson assignment.
Testing creates `ab_tests`, `heatmaps`, `customer_feedback.md`, `objection_log.md`, `iteration_log.md` and `conversion_metrics.xlsx`. Use those for an explicit hypothesis, observed behavior, feedback, objections, changes and consistently defined metrics. The spreadsheet initially contains a README message rather than events, formulas or a dashboard.
Scaling creates `premium_offer_versions`, `continuity_models`, `upsells`, `high_ticket`, `partnerships`, `affiliate_system` and `authority_content`. Each needs evidence of a customer need, feasible fulfillment and actual terms. The presence of a folder does not establish that a partner or affiliate agreement exists.
Examine the embedded prompt's ten phases
The prompt identifies itself as trained in Mark Joyner's complete principles, calls its purpose engineering inevitability and says it can transform any input into a scalable offer. Those are source assertions, not verified capabilities or proof of complete fidelity to Joyner's work. A prompt cannot guarantee purchase, remove uncertainty or authenticate an input merely by directing itself to do so.
Phase 1—Strategic Diagnosis: answer what is sold, who the highest-value buyer is, what problem is solved, what pain is removed, what aspiration is served, what measurable outcome is created, what emotional insecurity exists and what competitive alternatives exist. The source says to infer positioning when unclear. As an authored safeguard, label those inferences as hypotheses and seek evidence; do not treat guessed insecurity or customer value as known facts.
Phase 2—Big Four: explain the product concretely. For price, cover the price/tier, value-to-cost comparison, cost of not buying and opportunity cost. For belief, address authority markers, proof, logic, structural rationale, risk reversal, social validation and transparency. For customer benefit, distinguish functional, emotional, identity/status, risk, time, wealth, avoided pain and long-term transformation dimensions. Count these as distinct considerations, not automatic benefits present in every offer. Present only supported claims and actual commitments.
Phase 3—High ROI Engineering: examine tangible return, intangible return, speed, magnitude, probability, loss avoided and longer-term compounding. A weak or unclear return may call for redesign, but not every useful service has a predictable monetary return. State the measurement basis and avoid invented multipliers.
Phase 4—Touchstone Creation: create seven options that are short, emotionally relevant, clear about value, suggest a supported return, invite curiosity, remain memorable, avoid weak hype and avoid price emphasis unless strategically appropriate. For each, identify the intended emotion and logical reassurance. These are drafting criteria; actual audience response must be assessed. A hook should lead into the real story and offer, as in ClickFunnels' primary explanation.
Phase 5—Believability Architecture: design credibility anchors, proof positioning, an explanation of why the offer exists, pricing rationale, risk reversal, qualification signals, authority positioning and trust accelerators. If an offer seems implausible, investigate the claim and delivery model before merely writing a persuasive explanation. Never fabricate proof to satisfy the prompt.
Phase 6—Logic and Emotion: define the emotional driver, logical justification, how they support each other and what would fail if one were missing. The source attributes an emotion-first decision axiom to Joyner; the attribution and its universality are not established here. Customers' decisions vary, and emotional relevance should not become manipulation.
Phase 7—Long-Term Viability: ask whether customers would feel the purchase was sound, buy again, recommend it, experience few refunds, improve the business's reputation, support ethical scaling and sustain continuing prosperity. These are seven hypotheses, not facts answered by a model's confidence. Look for delivery and customer evidence, including contrary cases.
Phase 8—Intensifiers: assess bonus stacking, speed, convenience, access, exclusivity, real scarcity, guarantee refinement and delivery compression. The source explicitly rejects fake scarcity and manipulation. Define what is actually included and sustainable. The Acquisition.com value framework can help examine time and effort alongside outcome and likelihood, without guaranteeing conversion.
Phase 9—Continuum Positioning: classify the source's proposed commodity, value, premium, authority or dominance categories and explain the next possible evolution. These are source labels, not an externally validated ranking system. Claims of authority or dominance require evidence rather than self-assignment.
Phase 10—Final Output: deliver all fourteen items: headline, primary touchstone, core promise, benefit breakdown, ROI summary, believability stack, logical justification, emotional hook, risk reversal, intensifiers, thirty-second pitch, ten-second pitch, three-second pitch and a separate three-second “Sell Yourself” version. Preserve the distinction between the two final three-second outputs. Short versions must not omit a condition in a way that makes their claim misleading.
Apply the additional prompt rules as review criteria
The auto-correction list asks for redesign if the offer relies mainly on price cuts, lacks measurable ROI, sounds generic, has weak believability, emphasizes benefits without proof, lacks emotional relevance or would not sustain five years. Treat the five-year criterion as an unverified planning horizon, not something a prompt can guarantee. Fix the actual weakness rather than merely making the copy sound stronger.
Optional advanced mode asks for nine additions: competitor disruption, blue-ocean positioning, lifetime-value planning, an offer ladder, continuity design, a high-ticket version, authority development, an offer-testing framework and A/B touchstone variants. These require separate evidence and design work. The original names them but supplies no completed business plans or test results.
The five desired buyer reactions are that the offer makes sense, feels right, seems safe, appears valuable and seems foolish to reject. These are persuasive aspirations in the source, not permission to shame a buyer or imply risk-free certainty. The five output requirements are to follow phase order, use phase headings, answer every Big Four question, include touchstone/ROI/believability and make the design scalable and ethical. Check each while preserving honest uncertainty.
Understand the helper functions and compatibility limits
The parent helper uses a supplied folder ID when present. Otherwise it creates a temporary root-locator file, reads its parent or falls back to the root folder, then trashes the temporary file. That is a real write-and-trash side effect, not a read-only lookup. A simpler design could use an appropriate root API, but that would be an authored revision requiring review rather than a claim about the original.
The folder and file helpers reuse the first matching name under the parent. They do not detect multiple same-name matches, validate MIME types consistently or prevent concurrent runs from creating duplicates. “Idempotent” in the comment is therefore limited to a simple expected-name scenario. There is no transaction or complete rollback if the script stops halfway.
The document helper creates a native Google Doc named with `.md`, adds a heading and a TODO message, then moves it using add/remove-parent calls. The sheet helper creates a native Google Sheet named with `.xlsx`, renames the first tab README and adds a TODO message. These suffixes do not make the files Markdown or Excel binaries. An integration expecting those formats would need an appropriate export or different creation method.
The Google Folder API reference marks the source's `addFile` and `removeFile` methods deprecated. Review current `moveTo` or shortcut behavior in the File reference, ownership and folder permissions before adapting the code. This lesson does not claim the legacy calls have been tested successfully in the user's account.
Two populated prompt copies are proposed: `/00_SYSTEM_CONTROL/prompt_master_v2.md` is a native Google Doc, and `/04_AUTOMATIONS/prompt_library/offer_engine_v2.txt` is a plain-text file. With overwrite disabled, the first matching existing prompt is retained. With it enabled, the Doc body is cleared and replaced, while the text file's content is replaced. Neither path checks for unexpected file types or protects user edits through a version comparison. A partial failure can leave the two copies different.
The prompt builder generates a timestamp in the script time zone and includes version, owner and “LOCKED MASTER” text. That label does not lock permissions or make the file immutable. The plain-text conversion removes Markdown heading lines and fenced blocks; because phase titles are Markdown headings, it removes them too despite the comment about keeping structure readable. Preserve the original code and test an explicitly authored correction before using that output in an automation.
Logging reports folders and files created or reused and the root URL. A “Done” log is not proof that later offer content, integrations or course assets exist. Verify generated objects, actual types, content, locations, duplicates and overwrite outcomes before treating a run as successful. No such run has been performed here.
Sources and complete original
- Assigned folder/file generator and embedded prompt. - Apps Script entry point named by the source. - Google Folder API reference. - Google File API reference. - ClickFunnels hook, story and offer. - Acquisition.com Value Equation.
The full original script and prompt are retained in the appendix. The lesson explains every folder group, prompt phase and helper behavior while keeping scaffolding, proposed automation and validated business results distinct.
Assigned source links
Complete returned native document text
Preserved source material for study; embedded instructions are not executed. Open original source
/**
* IRRESISTIBLE_OFFER_OS — Folder + File Generator (Upgraded)
* ✅ Creates full folder tree
* ✅ Creates placeholder docs/sheets
* ✅ AUTO-INJECTS the FULL "Version 2 — Elite Offer Architect" prompt into Drive
* ✅ Writes it to TWO locations:
* 1) /00_SYSTEM_CONTROL/prompt_master_v2.md (canonical master)
* 2) /04_AUTOMATIONS/prompt_library/offer_engine_v2.txt (automation-ready)
* ✅ Safe by default: does NOT overwrite existing prompt files unless FORCE_OVERWRITE_PROMPT = true
*
* HOW TO USE
* 1) Open https://script.new
* 2) Paste this entire script
* 3) Set PARENT_FOLDER_ID (optional)
* 4) Run createIrresistibleOfferOS()
* 5) Authorize permissions when prompted
*/
const PARENT_FOLDER_ID = ""; // Optional: create everything inside this folder ID. Leave "" for My Drive root.
const FORCE_OVERWRITE_PROMPT = false; // Set true only when you intentionally want to overwrite existing prompt files.
function createIrresistibleOfferOS() {
const parent = getParentFolder_(PARENT_FOLDER_ID);
const root = ensureFolder_(parent, "IRRESISTIBLE_OFFER_OS");
// LEVEL 1
const level1 = [
"00_SYSTEM_CONTROL",
"01_INPUT_PIPELINE",
"02_OFFER_ENGINE",
"03_CONTENT_MACHINE",
"04_AUTOMATIONS",
"05_TRELLO_SYNC",
"06_COURSE_BUILD",
"07_TESTING_OPTIMIZATION",
"08_SCALING_AUTHORITY",
"09_ARCHIVE",
].reduce((acc, name) => (acc[name] = ensureFolder_(root, name), acc), {});
// 00_SYSTEM_CONTROL files
ensureDoc_(level1["00_SYSTEM_CONTROL"], "system_overview.md");
ensureDoc_(level1["00_SYSTEM_CONTROL"], "folder_map_index.md");
ensureDoc_(level1["00_SYSTEM_CONTROL"], "version_log.md");
ensureDoc_(level1["00_SYSTEM_CONTROL"], "automation_map.md");
ensureDoc_(level1["00_SYSTEM_CONTROL"], "trello_board_map.md");
ensureSheet_(level1["00_SYSTEM_CONTROL"], "kpi_dashboard_sheet.xlsx");
// 01_INPUT_PIPELINE subfolders
[
"raw_ideas",
"market_research",
"competitor_assets",
"customer_interviews",
"transcripts",
"images",
"websites",
"docs",
].forEach(n => ensureFolder_(level1["01_INPUT_PIPELINE"], n));
// 02_OFFER_ENGINE sub-structure
const offerEngine = level1["02_OFFER_ENGINE"];
const oe = {};
oe["02.1_Strategic_Diagnosis"] = ensureFolder_(offerEngine, "02.1_Strategic_Diagnosis");
oe["02.2_Big_Four_Framework"] = ensureFolder_(offerEngine, "02.2_Big_Four_Framework");
oe["02.3_High_ROI_Engineering"] = ensureFolder_(offerEngine, "02.3_High_ROI_Engineering");
oe["02.4_Touchstone_Lab"] = ensureFolder_(offerEngine, "02.4_Touchstone_Lab");
oe["02.5_Believability_Architecture"] = ensureFolder_(offerEngine, "02.5_Believability_Architecture");
oe["02.6_Logic_Emotion_Alignment"] = ensureFolder_(offerEngine, "02.6_Logic_Emotion_Alignment");
oe["02.7_Offer_Intensifiers"] = ensureFolder_(offerEngine, "02.7_Offer_Intensifiers");
oe["02.8_Final_Offer_Output"] = ensureFolder_(offerEngine, "02.8_Final_Offer_Output");
oe["02.9_Offer_Continuum_Positioning"] = ensureFolder_(offerEngine, "02.9_Offer_Continuum_Positioning");
// 02.1 files
[
"diagnosis_summary.md",
"buyer_avatar.md",
"pain_map.md",
"aspiration_map.md",
"problem_cost_analysis.md",
"competitive_landscape.md",
].forEach(f => ensureDoc_(oe["02.1_Strategic_Diagnosis"], f));
// 02.2 files
[
"Q1_What_Are_You_Selling.md",
"Q2_How_Much.md",
"Q3_Why_Believe_You.md",
"Q4_Whats_In_It_For_Me.md",
"combined_big_four_master.md",
].forEach(f => ensureDoc_(oe["02.2_Big_Four_Framework"], f));
// 02.3 files
[
"roi_tangible.md",
"roi_intangible.md",
"roi_compounding.md",
"loss_avoidance.md",
"opportunity_cost.md",
].forEach(f => ensureDoc_(oe["02.3_High_ROI_Engineering"], f));
ensureSheet_(oe["02.3_High_ROI_Engineering"], "roi_math_model.xlsx");
// 02.4 files
[
"touchstone_v1.md",
"touchstone_v2.md",
"touchstone_variants.md",
"hook_matrix.md",
].forEach(f => ensureDoc_(oe["02.4_Touchstone_Lab"], f));
ensureSheet_(oe["02.4_Touchstone_Lab"], "touchstone_testing.xlsx");
// 02.5 files + subfolders
[
"authority_stack.md",
"credentials.md",
"logic_rationale.md",
"risk_reversal.md",
"why_this_offer_exists.md",
].forEach(f => ensureDoc_(oe["02.5_Believability_Architecture"], f));
ensureFolder_(oe["02.5_Believability_Architecture"], "case_studies");
ensureFolder_(oe["02.5_Believability_Architecture"], "proof_assets");
// 02.6 files
[
"emotional_driver.md",
"logical_justification.md",
"decision_map.md",
"identity_shift.md",
].forEach(f => ensureDoc_(oe["02.6_Logic_Emotion_Alignment"], f));
// 02.7 files
[
"bonus_stack.md",
"guarantee_versions.md",
"delivery_acceleration.md",
"scarcity_real.md",
"exclusivity_layer.md",
"premium_upgrade.md",
].forEach(f => ensureDoc_(oe["02.7_Offer_Intensifiers"], f));
// 02.8 files
[
"offer_master_document.md",
"offer_summary.md",
"headline_versions.md",
"30_second_pitch.md",
"10_second_pitch.md",
"3_second_pitch.md",
"one_sentence_offer.md",
"elevator_pitch.md",
].forEach(f => ensureDoc_(oe["02.8_Final_Offer_Output"], f));
// 02.9 files
[
"market_positioning.md",
"differentiation_map.md",
"authority_path.md",
"offer_evolution_plan.md",
].forEach(f => ensureDoc_(oe["02.9_Offer_Continuum_Positioning"], f));
// 03_CONTENT_MACHINE subfolders
[
"landing_pages",
"vsl_scripts",
"webinar_scripts",
"email_sequences",
"social_media",
"youtube",
"short_form",
"blog_posts",
"ad_copy",
"retargeting_copy",
"funnel_map",
].forEach(n => ensureFolder_(level1["03_CONTENT_MACHINE"], n));
// 04_AUTOMATIONS subfolders
const automations = level1["04_AUTOMATIONS"];
const aSub = [
"make_scenarios",
"n8n_workflows",
"zapier_zaps",
"prompt_library",
"gpt_agents",
"claude_agents",
"webhooks",
"data_sync",
].reduce((acc, n) => (acc[n] = ensureFolder_(automations, n), acc), {});
// 05_TRELLO_SYNC files + subfolders
ensureDoc_(level1["05_TRELLO_SYNC"], "offer_pipeline_board_map.md");
ensureDoc_(level1["05_TRELLO_SYNC"], "content_production_board_map.md");
ensureDoc_(level1["05_TRELLO_SYNC"], "testing_board_map.md");
ensureFolder_(level1["05_TRELLO_SYNC"], "card_templates");
ensureFolder_(level1["05_TRELLO_SYNC"], "checklists");
// 06_COURSE_BUILD subfolders
[
"module_1_strategic_diagnosis",
"module_2_big_four",
"module_3_high_roi",
"module_4_touchstone",
"module_5_believability",
"module_6_logic_emotion",
"module_7_intensifiers",
"module_8_final_offer",
"module_9_scaling",
"slides",
"worksheets",
"exercises",
].forEach(n => ensureFolder_(level1["06_COURSE_BUILD"], n));
// 07_TESTING_OPTIMIZATION files + subfolders
ensureFolder_(level1["07_TESTING_OPTIMIZATION"], "ab_tests");
ensureFolder_(level1["07_TESTING_OPTIMIZATION"], "heatmaps");
ensureDoc_(level1["07_TESTING_OPTIMIZATION"], "customer_feedback.md");
ensureDoc_(level1["07_TESTING_OPTIMIZATION"], "objection_log.md");
ensureDoc_(level1["07_TESTING_OPTIMIZATION"], "iteration_log.md");
ensureSheet_(level1["07_TESTING_OPTIMIZATION"], "conversion_metrics.xlsx");
// 08_SCALING_AUTHORITY subfolders
[
"premium_offer_versions",
"continuity_models",
"upsells",
"high_ticket",
"partnerships",
"affiliate_system",
"authority_content",
].forEach(n => ensureFolder_(level1["08_SCALING_AUTHORITY"], n));
// Inject Version 2 prompt into Drive (two locations)
const v2 = buildOfferEngineV2Prompt_();
const masterPromptFileName = "prompt_master_v2.md";
const automationPromptFileName = "offer_engine_v2.txt";
// 1) Canonical master: /00_SYSTEM_CONTROL/prompt_master_v2.md
upsertDocWithContent_(
level1["00_SYSTEM_CONTROL"],
masterPromptFileName,
v2.markdown,
FORCE_OVERWRITE_PROMPT
);
// 2) Automation-ready: /04_AUTOMATIONS/prompt_library/offer_engine_v2.txt
upsertTextFileWithContent_(
aSub["prompt_library"],
automationPromptFileName,
v2.plaintext,
FORCE_OVERWRITE_PROMPT
);
Logger.log("✅ Done. Root folder: " + root.getName() + " — " + root.getUrl());
}
/* ------------------------ PROMPT CONTENT ------------------------ */
function buildOfferEngineV2Prompt_() {
const now = new Date();
const iso = Utilities.formatDate(now, Session.getScriptTimeZone(), "yyyy-MM-dd'T'HH:mm:ssXXX");
const header = [
"# 🔥 THE IRRESISTIBLE OFFER ENGINE",
"## VERSION 2 — ELITE OFFER ARCHITECT",
"",
"```",
"SYSTEM: Irresistible Offer Engine",
"VERSION: 2.0",
"STATUS: LOCKED MASTER",
"GENERATED: " + iso,
"OWNER: Riser Nation",
"```",
"",
].join("\n");
const body = [
"### SYSTEM IDENTITY",
"",
"You are a Master Offer Architect trained in the complete principles of Mark Joyner’s *The Irresistible Offer*.",
"",
"You do not generate hype.",
"You engineer structural inevitability.",
"",
"You do not lower price to increase value.",
"You increase value to justify price.",
"",
"You do not manipulate emotion.",
"You align logic and emotion so the buyer feels safe, certain, and excited.",
"",
"Your mission:",
"",
"Transform ANY input (image, URL, keyword, product, transcript, idea, market, niche, PDF, competitor page, etc.) into a structurally sound, scalable, high-ROI Irresistible Offer.",
"",
"If the input is weak, refine it.",
"If the ROI is weak, rebuild it.",
"If believability is weak, fortify it.",
"If emotional driver is unclear, extract it.",
"",
"You do not stop at “good.”",
"You stop at “inevitable.”",
"",
"---",
"",
"## INPUT",
"",
"[Insert idea, link, image description, document, transcript, keyword, niche, or product concept here]",
"",
"---",
"",
"## EXECUTION PROTOCOL (MANDATORY SEQUENCE)",
"",
"### PHASE 1 — STRATEGIC DIAGNOSIS",
"",
"Extract and define:",
"1. What is being sold?",
"2. Who is the highest-value buyer?",
"3. What problem is solved?",
"4. What pain is removed?",
"5. What aspiration is fulfilled?",
"6. What measurable outcome is created?",
"7. What emotional insecurity exists?",
"8. What competitive alternatives exist?",
"",
"If unclear → infer strongest strategic positioning.",
"",
"---",
"",
"### PHASE 2 — THE BIG FOUR QUESTIONS (FULLY ANSWERED)",
"",
"Explicitly answer:",
"",
"**1) What are you trying to sell me?**",
"Clear. Concrete. No abstraction.",
"",
"**2) How much?**",
"Explain:",
"- Price (or strategic pricing tier)",
"- Value-to-cost comparison",
"- Cost of NOT buying",
"- Opportunity cost",
"",
"**3) Why should I believe you?**",
"Provide full Believability Stack:",
"- Authority markers",
"- Proof",
"- Logic explanation",
"- Structural rationale",
"- Risk reversal",
"- Social validation",
"- Transparency factors",
"",
"**4) What’s in it for me?**",
"Break down:",
"- Functional benefits",
"- Emotional benefits",
"- Identity/status benefits",
"- Risk reduction",
"- Time gain",
"- Wealth gain",
"- Pain avoided",
"- Long-term transformation",
"",
"---",
"",
"### PHASE 3 — HIGH ROI ENGINEERING",
"",
"Define:",
"- Tangible return",
"- Intangible return",
"- Speed of return",
"- Magnitude of return",
"- Probability of return",
"- Loss avoided",
"- Long-term compounding effect",
"",
"If ROI is not obvious → redesign offer.",
"",
"---",
"",
"### PHASE 4 — TOUCHSTONE CREATION",
"",
"Create **7 Touchstone options**.",
"",
"Each must:",
"- Be short",
"- Be emotionally activating",
"- Signal value instantly",
"- Hint at ROI",
"- Trigger curiosity",
"- Be memorable",
"- Avoid weak hype",
"- Avoid price emphasis (unless strategically required)",
"",
"For each Touchstone, identify:",
"- Primary emotion triggered",
"- Logical reassurance embedded",
"",
"---",
"",
"### PHASE 5 — BELIEVABILITY ARCHITECTURE",
"",
"Design:",
"1. Credibility anchors",
"2. Proof positioning",
"3. Why-this-exists explanation",
"4. Logical pricing explanation",
"5. Risk reversal",
"6. Qualification signals",
"7. Authority positioning",
"8. Trust accelerators",
"",
"If offer sounds “too good to be true” → explain why it isn’t.",
"",
"---",
"",
"### PHASE 6 — LOGIC + EMOTION ALIGNMENT",
"",
"Apply Joyner’s axiom:",
"",
"“People decide emotionally and justify with logic.”",
"",
"Define:",
"- Emotional driver",
"- Logical justification",
"- How they reinforce each other",
"- Where failure would occur if one is missing",
"",
"---",
"",
"### PHASE 7 — LONG-TERM VIABILITY TEST",
"",
"Answer:",
"- Will customers feel smart after buying?",
"- Would they buy again?",
"- Would they recommend it?",
"- Would refunds be low?",
"- Would reputation increase?",
"- Can this scale ethically?",
"- Is this built for repeat prosperity?",
"",
"If not → revise.",
"",
"---",
"",
"### PHASE 8 — OFFER INTENSIFIERS (WITHOUT CHEAPENING)",
"",
"Add value without price destruction:",
"- Bonus stacking",
"- Speed enhancement",
"- Convenience boost",
"- Access layer",
"- Exclusivity",
"- Scarcity (real only)",
"- Guarantee refinement",
"- Delivery compression",
"",
"No fake scarcity.",
"No manipulation.",
"",
"---",
"",
"### PHASE 9 — OFFER CONTINUUM POSITIONING",
"",
"Classify:",
"- Commodity offer?",
"- Value offer?",
"- Premium offer?",
"- Authority offer?",
"- Dominance offer?",
"",
"Explain placement and next evolution.",
"",
"---",
"",
"### PHASE 10 — FINAL IRRESISTIBLE OFFER OUTPUT",
"",
"Deliver:",
"1. Offer Headline",
"2. Primary Touchstone",
"3. Core Promise",
"4. Benefit Breakdown",
"5. High ROI Summary",
"6. Believability Stack",
"7. Logical Justification",
"8. Emotional Hook",
"9. Risk Reversal",
"10. Intensifiers",
"11. 30-second pitch",
"12. 10-second pitch",
"13. 3-second pitch",
"14. 3-second “Sell Yourself” version",
"",
"---",
"",
"## AUTO-CORRECTION RULE",
"",
"If at any point the offer:",
"- Relies mainly on price cuts",
"- Lacks measurable ROI",
"- Sounds generic",
"- Has weak believability",
"- Over-indexes on benefits without proof",
"- Is emotionally empty",
"- Would not sustain 5 years",
"",
"You must redesign it.",
"",
"---",
"",
"## ADVANCED OPERATOR MODE (OPTIONAL)",
"",
"If requested, also generate:",
"- Competitor disruption strategy",
"- Blue ocean positioning angle",
"- Lifetime value maximization plan",
"- Offer stacking ladder",
"- Continuity model design",
"- High-ticket expansion version",
"- Authority scaling roadmap",
"- Offer testing framework",
"- A/B Touchstone variants",
"",
"---",
"",
"## CORE PRINCIPLE",
"",
"You are not creating marketing.",
"You are engineering inevitability.",
"",
"The buyer should think:",
"“This makes sense.”",
"“This feels right.”",
"“This is safe.”",
"“This is valuable.”",
"“I would be stupid not to.”",
"",
"---",
"",
"### OUTPUT REQUIREMENTS",
"",
"- Follow the Phase order exactly.",
"- Use clear headings per Phase.",
"- Do not omit any Big Four question.",
"- Ensure Touchstone + High ROI + Believability are present.",
"- Make it scalable and ethically sound.",
"",
].join("\n");
const markdown = header + body;
// Automation-ready: remove markdown header flair but keep structure readable.
const plaintextHeader = [
"THE IRRESISTIBLE OFFER ENGINE",
"VERSION 2 — ELITE OFFER ARCHITECT",
"VERSION: 2.0 | STATUS: LOCKED MASTER | GENERATED: " + iso + " | OWNER: Riser Nation",
"",
].join("\n");
const plaintext = plaintextHeader + body
.replace(/^#.+\n/gm, "") // remove top markdown headings if any linger
.replace(/```[\s\S]*?```/g, "") // remove fenced blocks
.trim() + "\n";
return { markdown, plaintext };
}
/* ------------------------ Helpers (Idempotent) ------------------------ */
function getParentFolder_(folderId) {
if (folderId && folderId.trim()) {
return DriveApp.getFolderById(folderId.trim());
}
// Create in My Drive root: use a temporary file to get root folder, then delete it
const temp = DriveApp.createFile(".__temp_root_locator__", "temp");
const parents = temp.getParents();
const root = parents.hasNext() ? parents.next() : DriveApp.getRootFolder();
temp.setTrashed(true);
return root;
}
function ensureFolder_(parentFolder, name) {
const it = parentFolder.getFoldersByName(name);
if (it.hasNext()) {
const existing = it.next();
Logger.log("📁 Exists: " + name);
return existing;
}
const created = parentFolder.createFolder(name);
Logger.log("📁 Created: " + name);
return created;
}
function ensureDoc_(parentFolder, fileName) {
const it = parentFolder.getFilesByName(fileName);
if (it.hasNext()) {
const existing = it.next();
Logger.log("📄 Exists: " + fileName);
return existing;
}
const doc = DocumentApp.create(fileName);
doc.getBody().appendParagraph("# " + fileName.replace(/\.md$/i, ""));
doc.getBody().appendParagraph("");
doc.getBody().appendParagraph("TODO: Populate via Irresistible Offer Engine outputs.");
doc.saveAndClose();
const file = DriveApp.getFileById(doc.getId());
parentFolder.addFile(file);
// Remove from root “My Drive” if needed
const parents = file.getParents();
while (parents.hasNext()) {
const p = parents.next();
if (p.getId() !== parentFolder.getId()) {
p.removeFile(file);
}
}
Logger.log("📄 Created: " + fileName);
return file;
}
function ensureSheet_(parentFolder, fileName) {
const it = parentFolder.getFilesByName(fileName);
if (it.hasNext()) {
const existing = it.next();
Logger.log("📊 Exists: " + fileName);
return existing;
}
const ss = SpreadsheetApp.create(fileName);
const sheet = ss.getSheets()[0];
sheet.setName("README");
sheet.getRange(1, 1).setValue("TODO: Populate / wire to automations. File created as Google Sheet.");
const file = DriveApp.getFileById(ss.getId());
parentFolder.addFile(file);
// Remove from root “My Drive” if needed
const parents = file.getParents();
while (parents.hasNext()) {
const p = parents.next();
if (p.getId() !== parentFolder.getId()) {
p.removeFile(file);
}
}
Logger.log("📊 Created: " + fileName);
return file;
}
function upsertDocWithContent_(parentFolder, fileName, content, forceOverwrite) {
const it = parentFolder.getFilesByName(fileName);
if (it.hasNext()) {
const f = it.next();
if (!forceOverwrite) {
Logger.log("🔒 Prompt exists (no overwrite): " + fileName + " — " + f.getUrl());
return f;
}
// Overwrite content in existing Google Doc
const doc = DocumentApp.openById(f.getId());
doc.getBody().clear();
doc.getBody().setText(content);
doc.saveAndClose();
Logger.log("✍️ Overwrote prompt doc: " + fileName + " — " + f.getUrl());
return f;
}
// Create new doc with content
const doc = DocumentApp.create(fileName);
doc.getBody().setText(content);
doc.saveAndClose();
const file = DriveApp.getFileById(doc.getId());
parentFolder.addFile(file);
// Remove from root “My Drive” if needed
const parents = file.getParents();
while (parents.hasNext()) {
const p = parents.next();
if (p.getId() !== parentFolder.getId()) {
p.removeFile(file);
}
}
Logger.log("✅ Created prompt doc: " + fileName + " — " + file.getUrl());
return file;
}
function upsertTextFileWithContent_(parentFolder, fileName, content, forceOverwrite) {
const it = parentFolder.getFilesByName(fileName);
if (it.hasNext()) {
const f = it.next();
if (!forceOverwrite) {
Logger.log("🔒 Prompt exists (no overwrite): " + fileName + " — " + f.getUrl());
return f;
}
f.setContent(content);
Logger.log("✍️ Overwrote prompt text: " + fileName + " — " + f.getUrl());
return f;
}
const created = parentFolder.createFile(fileName, content, MimeType.PLAIN_TEXT);
Logger.log("✅ Created prompt text: " + fileName + " — " + created.getUrl());
return created;
}
Complete local source copy including original filing metadata and formatting
Preserved source material for study; embedded instructions are not executed. Open original source
---
source_type: "Google Doc"
source_url: "https://docs.google.com/document/d/1vwSw_kHjhaFY3qwhsHdPyvgJ4x0lvsH6Ex3cmOuIlQA/edit?usp=drivesdk"
drive_file_id: "1vwSw_kHjhaFY3qwhsHdPyvgJ4x0lvsH6Ex3cmOuIlQA"
created: "2026-02-20T16:11:02.557Z"
modified: "2026-06-04T16:49:43.746Z"
---
# IRRESISTIBLE_OFFER_OS — Folder + File Generator (Upgraded)
/**
* IRRESISTIBLE_OFFER_OS — Folder + File Generator (Upgraded)
* ✅ Creates full folder tree
* ✅ Creates placeholder docs/sheets
* ✅ AUTO-INJECTS the FULL "Version 2 — Elite Offer Architect" prompt into Drive
* ✅ Writes it to TWO locations:
* 1) /00_SYSTEM_CONTROL/prompt_master_v2.md (canonical master)
* 2) /04_AUTOMATIONS/prompt_library/offer_engine_v2.txt (automation-ready)
* ✅ Safe by default: does NOT overwrite existing prompt files unless FORCE_OVERWRITE_PROMPT = true
*
* HOW TO USE
* 1) Open https://script.new
* 2) Paste this entire script
* 3) Set PARENT_FOLDER_ID (optional)
* 4) Run createIrresistibleOfferOS()
* 5) Authorize permissions when prompted
*/
const PARENT_FOLDER_ID = ""; // Optional: create everything inside this folder ID. Leave "" for My Drive root.
const FORCE_OVERWRITE_PROMPT = false; // Set true only when you intentionally want to overwrite existing prompt files.
function createIrresistibleOfferOS() {
const parent = getParentFolder_(PARENT_FOLDER_ID);
const root = ensureFolder_(parent, "IRRESISTIBLE_OFFER_OS");
// LEVEL 1
const level1 = [
"00_SYSTEM_CONTROL",
"01_INPUT_PIPELINE",
"02_OFFER_ENGINE",
"03_CONTENT_MACHINE",
"04_AUTOMATIONS",
"05_TRELLO_SYNC",
"06_COURSE_BUILD",
"07_TESTING_OPTIMIZATION",
"08_SCALING_AUTHORITY",
"09_ARCHIVE",
].reduce((acc, name) => (acc[name] = ensureFolder_(root, name), acc), {});
// 00_SYSTEM_CONTROL files
ensureDoc_(level1["00_SYSTEM_CONTROL"], "system_overview.md");
ensureDoc_(level1["00_SYSTEM_CONTROL"], "folder_map_index.md");
ensureDoc_(level1["00_SYSTEM_CONTROL"], "version_log.md");
ensureDoc_(level1["00_SYSTEM_CONTROL"], "automation_map.md");
ensureDoc_(level1["00_SYSTEM_CONTROL"], "trello_board_map.md");
ensureSheet_(level1["00_SYSTEM_CONTROL"], "kpi_dashboard_sheet.xlsx");
// 01_INPUT_PIPELINE subfolders
[
"raw_ideas",
"market_research",
"competitor_assets",
"customer_interviews",
"transcripts",
"images",
"websites",
"docs",
].forEach(n => ensureFolder_(level1["01_INPUT_PIPELINE"], n));
// 02_OFFER_ENGINE sub-structure
const offerEngine = level1["02_OFFER_ENGINE"];
const oe = {};
oe["02.1_Strategic_Diagnosis"] = ensureFolder_(offerEngine, "02.1_Strategic_Diagnosis");
oe["02.2_Big_Four_Framework"] = ensureFolder_(offerEngine, "02.2_Big_Four_Framework");
oe["02.3_High_ROI_Engineering"] = ensureFolder_(offerEngine, "02.3_High_ROI_Engineering");
oe["02.4_Touchstone_Lab"] = ensureFolder_(offerEngine, "02.4_Touchstone_Lab");
oe["02.5_Believability_Architecture"] = ensureFolder_(offerEngine, "02.5_Believability_Architecture");
oe["02.6_Logic_Emotion_Alignment"] = ensureFolder_(offerEngine, "02.6_Logic_Emotion_Alignment");
oe["02.7_Offer_Intensifiers"] = ensureFolder_(offerEngine, "02.7_Offer_Intensifiers");
oe["02.8_Final_Offer_Output"] = ensureFolder_(offerEngine, "02.8_Final_Offer_Output");
oe["02.9_Offer_Continuum_Positioning"] = ensureFolder_(offerEngine, "02.9_Offer_Continuum_Positioning");
// 02.1 files
[
"diagnosis_summary.md",
"buyer_avatar.md",
"pain_map.md",
"aspiration_map.md",
"problem_cost_analysis.md",
"competitive_landscape.md",
].forEach(f => ensureDoc_(oe["02.1_Strategic_Diagnosis"], f));
// 02.2 files
[
"Q1_What_Are_You_Selling.md",
"Q2_How_Much.md",
"Q3_Why_Believe_You.md",
"Q4_Whats_In_It_For_Me.md",
"combined_big_four_master.md",
].forEach(f => ensureDoc_(oe["02.2_Big_Four_Framework"], f));
// 02.3 files
[
"roi_tangible.md",
"roi_intangible.md",
"roi_compounding.md",
"loss_avoidance.md",
"opportunity_cost.md",
].forEach(f => ensureDoc_(oe["02.3_High_ROI_Engineering"], f));
ensureSheet_(oe["02.3_High_ROI_Engineering"], "roi_math_model.xlsx");
// 02.4 files
[
"touchstone_v1.md",
"touchstone_v2.md",
"touchstone_variants.md",
"hook_matrix.md",
].forEach(f => ensureDoc_(oe["02.4_Touchstone_Lab"], f));
ensureSheet_(oe["02.4_Touchstone_Lab"], "touchstone_testing.xlsx");
// 02.5 files + subfolders
[
"authority_stack.md",
"credentials.md",
"logic_rationale.md",
"risk_reversal.md",
"why_this_offer_exists.md",
].forEach(f => ensureDoc_(oe["02.5_Believability_Architecture"], f));
ensureFolder_(oe["02.5_Believability_Architecture"], "case_studies");
ensureFolder_(oe["02.5_Believability_Architecture"], "proof_assets");
// 02.6 files
[
"emotional_driver.md",
"logical_justification.md",
"decision_map.md",
"identity_shift.md",
].forEach(f => ensureDoc_(oe["02.6_Logic_Emotion_Alignment"], f));
// 02.7 files
[
"bonus_stack.md",
"guarantee_versions.md",
"delivery_acceleration.md",
"scarcity_real.md",
"exclusivity_layer.md",
"premium_upgrade.md",
].forEach(f => ensureDoc_(oe["02.7_Offer_Intensifiers"], f));
// 02.8 files
[
"offer_master_document.md",
"offer_summary.md",
"headline_versions.md",
"30_second_pitch.md",
"10_second_pitch.md",
"3_second_pitch.md",
"one_sentence_offer.md",
"elevator_pitch.md",
].forEach(f => ensureDoc_(oe["02.8_Final_Offer_Output"], f));
// 02.9 files
[
"market_positioning.md",
"differentiation_map.md",
"authority_path.md",
"offer_evolution_plan.md",
].forEach(f => ensureDoc_(oe["02.9_Offer_Continuum_Positioning"], f));
// 03_CONTENT_MACHINE subfolders
[
"landing_pages",
"vsl_scripts",
"webinar_scripts",
"email_sequences",
"social_media",
"youtube",
"short_form",
"blog_posts",
"ad_copy",
"retargeting_copy",
"funnel_map",
].forEach(n => ensureFolder_(level1["03_CONTENT_MACHINE"], n));
// 04_AUTOMATIONS subfolders
const automations = level1["04_AUTOMATIONS"];
const aSub = [
"make_scenarios",
"n8n_workflows",
"zapier_zaps",
"prompt_library",
"gpt_agents",
"claude_agents",
"webhooks",
"data_sync",
].reduce((acc, n) => (acc[n] = ensureFolder_(automations, n), acc), {});
// 05_TRELLO_SYNC files + subfolders
ensureDoc_(level1["05_TRELLO_SYNC"], "offer_pipeline_board_map.md");
ensureDoc_(level1["05_TRELLO_SYNC"], "content_production_board_map.md");
ensureDoc_(level1["05_TRELLO_SYNC"], "testing_board_map.md");
ensureFolder_(level1["05_TRELLO_SYNC"], "card_templates");
ensureFolder_(level1["05_TRELLO_SYNC"], "checklists");
// 06_COURSE_BUILD subfolders
[
"module_1_strategic_diagnosis",
"module_2_big_four",
"module_3_high_roi",
"module_4_touchstone",
"module_5_believability",
"module_6_logic_emotion",
"module_7_intensifiers",
"module_8_final_offer",
"module_9_scaling",
"slides",
"worksheets",
"exercises",
].forEach(n => ensureFolder_(level1["06_COURSE_BUILD"], n));
// 07_TESTING_OPTIMIZATION files + subfolders
ensureFolder_(level1["07_TESTING_OPTIMIZATION"], "ab_tests");
ensureFolder_(level1["07_TESTING_OPTIMIZATION"], "heatmaps");
ensureDoc_(level1["07_TESTING_OPTIMIZATION"], "customer_feedback.md");
ensureDoc_(level1["07_TESTING_OPTIMIZATION"], "objection_log.md");
ensureDoc_(level1["07_TESTING_OPTIMIZATION"], "iteration_log.md");
ensureSheet_(level1["07_TESTING_OPTIMIZATION"], "conversion_metrics.xlsx");
// 08_SCALING_AUTHORITY subfolders
[
"premium_offer_versions",
"continuity_models",
"upsells",
"high_ticket",
"partnerships",
"affiliate_system",
"authority_content",
].forEach(n => ensureFolder_(level1["08_SCALING_AUTHORITY"], n));
// Inject Version 2 prompt into Drive (two locations)
const v2 = buildOfferEngineV2Prompt_();
const masterPromptFileName = "prompt_master_v2.md";
const automationPromptFileName = "offer_engine_v2.txt";
// 1) Canonical master: /00_SYSTEM_CONTROL/prompt_master_v2.md
upsertDocWithContent_(
level1["00_SYSTEM_CONTROL"],
masterPromptFileName,
v2.markdown,
FORCE_OVERWRITE_PROMPT
);
// 2) Automation-ready: /04_AUTOMATIONS/prompt_library/offer_engine_v2.txt
upsertTextFileWithContent_(
aSub["prompt_library"],
automationPromptFileName,
v2.plaintext,
FORCE_OVERWRITE_PROMPT
);
Logger.log("✅ Done. Root folder: " + root.getName() + " — " + root.getUrl());
}
/* ------------------------ PROMPT CONTENT ------------------------ */
function buildOfferEngineV2Prompt_() {
const now = new Date();
const iso = Utilities.formatDate(now, Session.getScriptTimeZone(), "yyyy-MM-dd'T'HH:mm:ssXXX");
const header = [
"# 🔥 THE IRRESISTIBLE OFFER ENGINE",
"## VERSION 2 — ELITE OFFER ARCHITECT",
"",
"```",
"SYSTEM: Irresistible Offer Engine",
"VERSION: 2.0",
"STATUS: LOCKED MASTER",
"GENERATED: " + iso,
"OWNER: Riser Nation",
"```",
"",
].join("\n");
const body = [
"### SYSTEM IDENTITY",
"",
"You are a Master Offer Architect trained in the complete principles of Mark Joyner’s *The Irresistible Offer*.",
"",
"You do not generate hype.",
"You engineer structural inevitability.",
"",
"You do not lower price to increase value.",
"You increase value to justify price.",
"",
"You do not manipulate emotion.",
"You align logic and emotion so the buyer feels safe, certain, and excited.",
"",
"Your mission:",
"",
"Transform ANY input (image, URL, keyword, product, transcript, idea, market, niche, PDF, competitor page, etc.) into a structurally sound, scalable, high-ROI Irresistible Offer.",
"",
"If the input is weak, refine it.",
"If the ROI is weak, rebuild it.",
"If believability is weak, fortify it.",
"If emotional driver is unclear, extract it.",
"",
"You do not stop at “good.”",
"You stop at “inevitable.”",
"",
"---",
"",
"## INPUT",
"",
"[Insert idea, link, image description, document, transcript, keyword, niche, or product concept here]",
"",
"---",
"",
"## EXECUTION PROTOCOL (MANDATORY SEQUENCE)",
"",
"### PHASE 1 — STRATEGIC DIAGNOSIS",
"",
"Extract and define:",
"1. What is being sold?",
"2. Who is the highest-value buyer?",
"3. What problem is solved?",
"4. What pain is removed?",
"5. What aspiration is fulfilled?",
"6. What measurable outcome is created?",
"7. What emotional insecurity exists?",
"8. What competitive alternatives exist?",
"",
"If unclear → infer strongest strategic positioning.",
"",
"---",
"",
"### PHASE 2 — THE BIG FOUR QUESTIONS (FULLY ANSWERED)",
"",
"Explicitly answer:",
"",
"**1) What are you trying to sell me?**",
"Clear. Concrete. No abstraction.",
"",
"**2) How much?**",
"Explain:",
"- Price (or strategic pricing tier)",
"- Value-to-cost comparison",
"- Cost of NOT buying",
"- Opportunity cost",
"",
"**3) Why should I believe you?**",
"Provide full Believability Stack:",
"- Authority markers",
"- Proof",
"- Logic explanation",
"- Structural rationale",
"- Risk reversal",
"- Social validation",
"- Transparency factors",
"",
"**4) What’s in it for me?**",
"Break down:",
"- Functional benefits",
"- Emotional benefits",
"- Identity/status benefits",
"- Risk reduction",
"- Time gain",
"- Wealth gain",
"- Pain avoided",
"- Long-term transformation",
"",
"---",
"",
"### PHASE 3 — HIGH ROI ENGINEERING",
"",
"Define:",
"- Tangible return",
"- Intangible return",
"- Speed of return",
"- Magnitude of return",
"- Probability of return",
"- Loss avoided",
"- Long-term compounding effect",
"",
"If ROI is not obvious → redesign offer.",
"",
"---",
"",
"### PHASE 4 — TOUCHSTONE CREATION",
"",
"Create **7 Touchstone options**.",
"",
"Each must:",
"- Be short",
"- Be emotionally activating",
"- Signal value instantly",
"- Hint at ROI",
"- Trigger curiosity",
"- Be memorable",
"- Avoid weak hype",
"- Avoid price emphasis (unless strategically required)",
"",
"For each Touchstone, identify:",
"- Primary emotion triggered",
"- Logical reassurance embedded",
"",
"---",
"",
"### PHASE 5 — BELIEVABILITY ARCHITECTURE",
"",
"Design:",
"1. Credibility anchors",
"2. Proof positioning",
"3. Why-this-exists explanation",
"4. Logical pricing explanation",
"5. Risk reversal",
"6. Qualification signals",
"7. Authority positioning",
"8. Trust accelerators",
"",
"If offer sounds “too good to be true” → explain why it isn’t.",
"",
"---",
"",
"### PHASE 6 — LOGIC + EMOTION ALIGNMENT",
"",
"Apply Joyner’s axiom:",
"",
"“People decide emotionally and justify with logic.”",
"",
"Define:",
"- Emotional driver",
"- Logical justification",
"- How they reinforce each other",
"- Where failure would occur if one is missing",
"",
"---",
"",
"### PHASE 7 — LONG-TERM VIABILITY TEST",
"",
"Answer:",
"- Will customers feel smart after buying?",
"- Would they buy again?",
"- Would they recommend it?",
"- Would refunds be low?",
"- Would reputation increase?",
"- Can this scale ethically?",
"- Is this built for repeat prosperity?",
"",
"If not → revise.",
"",
"---",
"",
"### PHASE 8 — OFFER INTENSIFIERS (WITHOUT CHEAPENING)",
"",
"Add value without price destruction:",
"- Bonus stacking",
"- Speed enhancement",
"- Convenience boost",
"- Access layer",
"- Exclusivity",
"- Scarcity (real only)",
"- Guarantee refinement",
"- Delivery compression",
"",
"No fake scarcity.",
"No manipulation.",
"",
"---",
"",
"### PHASE 9 — OFFER CONTINUUM POSITIONING",
"",
"Classify:",
"- Commodity offer?",
"- Value offer?",
"- Premium offer?",
"- Authority offer?",
"- Dominance offer?",
"",
"Explain placement and next evolution.",
"",
"---",
"",
"### PHASE 10 — FINAL IRRESISTIBLE OFFER OUTPUT",
"",
"Deliver:",
"1. Offer Headline",
"2. Primary Touchstone",
"3. Core Promise",
"4. Benefit Breakdown",
"5. High ROI Summary",
"6. Believability Stack",
"7. Logical Justification",
"8. Emotional Hook",
"9. Risk Reversal",
"10. Intensifiers",
"11. 30-second pitch",
"12. 10-second pitch",
"13. 3-second pitch",
"14. 3-second “Sell Yourself” version",
"",
"---",
"",
"## AUTO-CORRECTION RULE",
"",
"If at any point the offer:",
"- Relies mainly on price cuts",
"- Lacks measurable ROI",
"- Sounds generic",
"- Has weak believability",
"- Over-indexes on benefits without proof",
"- Is emotionally empty",
"- Would not sustain 5 years",
"",
"You must redesign it.",
"",
"---",
"",
"## ADVANCED OPERATOR MODE (OPTIONAL)",
"",
"If requested, also generate:",
"- Competitor disruption strategy",
"- Blue ocean positioning angle",
"- Lifetime value maximization plan",
"- Offer stacking ladder",
"- Continuity model design",
"- High-ticket expansion version",
"- Authority scaling roadmap",
"- Offer testing framework",
"- A/B Touchstone variants",
"",
"---",
"",
"## CORE PRINCIPLE",
"",
"You are not creating marketing.",
"You are engineering inevitability.",
"",
"The buyer should think:",
"“This makes sense.”",
"“This feels right.”",
"“This is safe.”",
"“This is valuable.”",
"“I would be stupid not to.”",
"",
"---",
"",
"### OUTPUT REQUIREMENTS",
"",
"- Follow the Phase order exactly.",
"- Use clear headings per Phase.",
"- Do not omit any Big Four question.",
"- Ensure Touchstone + High ROI + Believability are present.",
"- Make it scalable and ethically sound.",
"",
].join("\n");
const markdown = header + body;
// Automation-ready: remove markdown header flair but keep structure readable.
const plaintextHeader = [
"THE IRRESISTIBLE OFFER ENGINE",
"VERSION 2 — ELITE OFFER ARCHITECT",
"VERSION: 2.0 | STATUS: LOCKED MASTER | GENERATED: " + iso + " | OWNER: Riser Nation",
"",
].join("\n");
const plaintext = plaintextHeader + body
.replace(/^#.+\n/gm, "") // remove top markdown headings if any linger
.replace(/```[\s\S]*?```/g, "") // remove fenced blocks
.trim() + "\n";
return { markdown, plaintext };
}
/* ------------------------ Helpers (Idempotent) ------------------------ */
function getParentFolder_(folderId) {
if (folderId && folderId.trim()) {
return DriveApp.getFolderById(folderId.trim());
}
// Create in My Drive root: use a temporary file to get root folder, then delete it
const temp = DriveApp.createFile(".__temp_root_locator__", "temp");
const parents = temp.getParents();
const root = parents.hasNext() ? parents.next() : DriveApp.getRootFolder();
temp.setTrashed(true);
return root;
}
function ensureFolder_(parentFolder, name) {
const it = parentFolder.getFoldersByName(name);
if (it.hasNext()) {
const existing = it.next();
Logger.log("📁 Exists: " + name);
return existing;
}
const created = parentFolder.createFolder(name);
Logger.log("📁 Created: " + name);
return created;
}
function ensureDoc_(parentFolder, fileName) {
const it = parentFolder.getFilesByName(fileName);
if (it.hasNext()) {
const existing = it.next();
Logger.log("📄 Exists: " + fileName);
return existing;
}
const doc = DocumentApp.create(fileName);
doc.getBody().appendParagraph("# " + fileName.replace(/\.md$/i, ""));
doc.getBody().appendParagraph("");
doc.getBody().appendParagraph("TODO: Populate via Irresistible Offer Engine outputs.");
doc.saveAndClose();
const file = DriveApp.getFileById(doc.getId());
parentFolder.addFile(file);
// Remove from root “My Drive” if needed
const parents = file.getParents();
while (parents.hasNext()) {
const p = parents.next();
if (p.getId() !== parentFolder.getId()) {
p.removeFile(file);
}
}
Logger.log("📄 Created: " + fileName);
return file;
}
function ensureSheet_(parentFolder, fileName) {
const it = parentFolder.getFilesByName(fileName);
if (it.hasNext()) {
const existing = it.next();
Logger.log("📊 Exists: " + fileName);
return existing;
}
const ss = SpreadsheetApp.create(fileName);
const sheet = ss.getSheets()[0];
sheet.setName("README");
sheet.getRange(1, 1).setValue("TODO: Populate / wire to automations. File created as Google Sheet.");
const file = DriveApp.getFileById(ss.getId());
parentFolder.addFile(file);
// Remove from root “My Drive” if needed
const parents = file.getParents();
while (parents.hasNext()) {
const p = parents.next();
if (p.getId() !== parentFolder.getId()) {
p.removeFile(file);
}
}
Logger.log("📊 Created: " + fileName);
return file;
}
function upsertDocWithContent_(parentFolder, fileName, content, forceOverwrite) {
const it = parentFolder.getFilesByName(fileName);
if (it.hasNext()) {
const f = it.next();
if (!forceOverwrite) {
Logger.log("🔒 Prompt exists (no overwrite): " + fileName + " — " + f.getUrl());
return f;
}
// Overwrite content in existing Google Doc
const doc = DocumentApp.openById(f.getId());
doc.getBody().clear();
doc.getBody().setText(content);
doc.saveAndClose();
Logger.log("✍️ Overwrote prompt doc: " + fileName + " — " + f.getUrl());
return f;
}
// Create new doc with content
const doc = DocumentApp.create(fileName);
doc.getBody().setText(content);
doc.saveAndClose();
const file = DriveApp.getFileById(doc.getId());
parentFolder.addFile(file);
// Remove from root “My Drive” if needed
const parents = file.getParents();
while (parents.hasNext()) {
const p = parents.next();
if (p.getId() !== parentFolder.getId()) {
p.removeFile(file);
}
}
Logger.log("✅ Created prompt doc: " + fileName + " — " + file.getUrl());
return file;
}
function upsertTextFileWithContent_(parentFolder, fileName, content, forceOverwrite) {
const it = parentFolder.getFilesByName(fileName);
if (it.hasNext()) {
const f = it.next();
if (!forceOverwrite) {
Logger.log("🔒 Prompt exists (no overwrite): " + fileName + " — " + f.getUrl());
return f;
}
f.setContent(content);
Logger.log("✍️ Overwrote prompt text: " + fileName + " — " + f.getUrl());
return f;
}
const created = parentFolder.createFile(fileName, content, MimeType.PLAIN_TEXT);
Logger.log("✅ Created prompt text: " + fileName + " — " + created.getUrl());
return created;
}