Calculator-Led Offer
Give visitors a working tool that answers a real planning question, then earns the follow-up conversation.
What it adds
The AI builder converts your internal estimating logic, rate cards, or sizing rules into a public utility that produces a genuinely useful answer on its own. It converts because a tool that solves a real problem creates reciprocity and captures intent at the exact moment of planning. The goal is qualified leads whose calculator inputs tell you what they need before the first call.
What your builder is told to do
8
The actual instructions, in order.
What your builder is told to do
8The actual instructions, in order.
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Read the supplied estimating files and identify one question your team answers repeatedly during scoping. That question, not a generic savings figure, is what the calculator computes.
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Port the real internal formula. Do not simplify it into something that produces optimistic output; a calculator that disagrees with your own scoping destroys trust at proposal time.
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Keep required inputs to the smallest set the formula genuinely needs, with sensible ranges and units taken from the source tables.
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Return a result with a stated range or confidence band rather than a single false-precision number, and explain in one line what drives the range.
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Show the result before requesting any contact information. Gating the answer converts fewer visitors and produces worse-quality leads.
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Offer an optional emailed or exported version of the result as the capture point, and state what happens to the submitted inputs.
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Handle breakpoints: on mobile inputs use numeric keypads and steppers with the result in a sticky footer; on tablet inputs and results split into two columns with the explanation beneath; on desktop the input panel, result, and driver breakdown display together with instant recalculation.
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Add a "how this is calculated" section exposing the method at a level a technical visitor can evaluate.
Edge cases it handles
5
The things an agent skips when you only say "build a calculator-led offer".
Edge cases it handles
5The things an agent skips when you only say "build a calculator-led offer".
- Inputs fall outside the range the source tables cover; return an explicit out-of-range message with a contact path rather than extrapolating.
- The formula depends on factors the visitor cannot know; supply documented defaults and label them clearly as defaults.
- Rate card changes make results stale; version the calculation and display an effective date.
- Competitors use the tool; that is acceptable and no attempt should be made to obscure the method.
- Results are unfavorable to the sale; display them unchanged.
Definition of done
7
Your builder is required to check every one of these before reporting the work finished.
Definition of done
7Your builder is required to check every one of these before reporting the work finished.
- The calculator implements the real internal formula from the supplied estimating files.
- Results appear before any contact-information request.
- Output is expressed as a range or band with the drivers of that range explained.
- Out-of-range inputs return an explicit message rather than an extrapolated number.
- A "how this is calculated" section and an effective date are present.
- Mobile, tablet, and desktop each keep the result visible while inputs change.
- The builder reports which estimating files it used and which formula factors are assumed or defaulted.
Related offer files
Special Offer Structures
Internal Champion Offer
Arm the person selling you inside their own company with the exact materials their approval process demands.
Build This Offer: Internal Champion OfferSpecial Offer Structures
Partner Enablement Offer
Equip resellers and implementers with everything they need to sell and deliver your work without your team.
Build This Offer: Partner Enablement OfferSpecial Offer Structures
Case-Study-Led Offer
Retell one engagement in enough operational detail that the reader recognizes their own situation in it.
Build This Offer: Case-Study-Led OfferHow it works
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Copy the link
Grab the Markdown blueprint URL for this offer type.
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Give it to your builder
Paste it into Claude Code, Cursor, Codex, or whatever AI builder is already working in your app.
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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.