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ROI-Led Offer

Translate your price into the buyer's own operating numbers so the purchase becomes an arithmetic decision.

Pro simple Special Offer Structures

What it adds

The AI builder uses your pricing, delivery metrics, and documented efficiency data to build a page that expresses cost in terms of the buyer's existing spend and time. It converts because it moves the conversation away from whether the price feels high and toward whether the arithmetic holds, which is a question a buyer can answer internally. The goal is to equip a champion with a defensible number for an internal approval conversation.

What your builder is told to do

8

The actual instructions, in order.
  1. 1

    Read the supplied pricing and metrics files and list every number that is actually measured, along with how and when it was measured. Numbers without methodology are unusable here.

  2. 2

    Identify the buyer-side variables the model depends on — current hours spent, current tooling cost, volume — and make each one an input the buyer supplies rather than a figure you assert.

  3. 3

    Build the model so all business-side factors come from documented measurements and all buyer-side factors are user-entered. Never pre-fill a buyer variable with a flattering default.

  4. 4

    Display the calculation transparently: show the formula, the inputs, and the intermediate steps so a finance reviewer can follow it.

  5. 5

    Include a stated assumptions panel listing every condition under which the model holds, and a sensitivity note showing how the result moves when the largest assumption changes.

  6. 6

    Produce an exportable or copyable summary the buyer can take into an internal conversation, containing inputs, outputs, and assumptions together.

  7. 7

    Define breakpoints: on mobile inputs stack in a single column with the result pinned in a bottom bar that updates live; on tablet inputs occupy the left column with the result and formula on the right; on desktop inputs, formula breakdown, and sensitivity view render as three panels updating simultaneously.

  8. 8

    Add a plain disclaimer that the output is an estimate based on buyer-supplied inputs and is not a projection of results.

Edge cases it handles

5

The things an agent skips when you only say "build a roi-led offer".
  • The buyer enters values producing a negative return; show that result honestly rather than flooring it at zero.
  • No measured efficiency data exists; do not build a savings model — build a cost-comparison model instead and report the substitution.
  • Inputs vary wildly by segment; provide segment presets only where source data supports them.
  • Finance reviewers require different time horizons; expose the horizon as an input rather than fixing it.
  • Currency and region differences alter cost inputs; make currency selectable without converting figures you cannot source.

Definition of done

7

Your builder is required to check every one of these before reporting the work finished.
  • Every business-side figure in the model traces to a documented measurement with methodology.
  • All buyer-side variables are user-entered with no flattering pre-filled defaults.
  • The formula and intermediate steps are visible, not hidden behind a single output number.
  • An assumptions panel and a sensitivity view are present, and unfavorable results display unaltered.
  • An exportable summary containing inputs, outputs, and assumptions is available.
  • Mobile, tablet, and desktop each keep the live result visible while inputs are edited.
  • The builder reports which pricing and metrics files it used and which measurements lack methodology.

Related offer files

How it works

  1. 1

    Copy the link

    Grab the Markdown blueprint URL for this offer type.

  2. 2

    Give it to your builder

    Paste it into Claude Code, Cursor, Codex, or whatever AI builder is already working in your app.

  3. 3

    It maps, then builds

    Your agent reads the blueprint first, then builds the offer into your app around the product, audience, and stack.

Works with your stack

These blueprints are written to adapt. They tell the agent to detect your framework, match your existing design system, and use your source files instead of guessing the offer.

Need it tighter than that? Customize the offer file and tell it exactly which source docs and stack to use.