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Data-Enrichment Offer

Fill thin records out into decision-ready profiles and charge per enriched match or by monthly volume.

Free moderate Software Offers

What it adds

From the source files, the builder produces a data-enrichment offer where incomplete records are appended with additional attributes, priced per match or by volume. It converts by proving lift on a sample — show enriched fields on the customer's own data — then scaling to their full dataset. The primary goal is a first enrichment run followed by recurring volume-based enrichment.

What your builder is told to do

7

The actual instructions, in order.
  1. 1

    Read the source attribute and match-rate files first and define which fields are enriched and what counts as a billable match.

  2. 2

    Write a headline that frames the outcome — thin records become decision-ready profiles — with concrete example fields.

  3. 3

    Build a sample-enrichment step where a prospect submits a small set of their own records and sees real appended fields.

  4. 4

    Present pricing by per-match or volume tier using only the rates and coverage figures the source files provide.

  5. 5

    Show match rate and coverage honestly so buyers know how many records will be enriched, not just the ceiling.

  6. 6

    Provide a single "run enrichment" action for the full dataset and define the billing trigger (per match, per batch, or monthly).

  7. 7

    Specify responsive behavior: mobile shows a compact upload-and-result view; tablet shows input beside enriched output; desktop shows the full mapping, coverage stats, and results table.

Edge cases it handles

5

The things an agent skips when you only say "build a data-enrichment offer".
  • A record cannot be matched — define whether unmatched records are billable and how they are reported.
  • Match or coverage rates are missing in the source files — flag them; buyers need realistic expectations.
  • Input data is malformed or mismapped — validate and guide field mapping before running.
  • Duplicate records in a batch — define dedup behavior and its billing effect.
  • Data freshness or accuracy limits — disclose them honestly rather than implying perfection.

Definition of done

7

Your builder is required to check every one of these before reporting the work finished.
  • Enriched fields and the billable-match definition match the source files.
  • A sample-enrichment step shows real appended data on the customer's records.
  • Pricing and coverage figures come only from the source files.
  • Match rate and coverage are shown honestly.
  • Unmatched-record billing and dedup behavior are defined.
  • Mobile, tablet, and desktop enrichment layouts are verified.
  • The builder reports source files used and flags unresolved match-rate, billing, or freshness assumptions.

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.