Nurture Offer

Warm undecided prospects by teaching one useful idea at a time until buying feels like the obvious next step.

Pro simple Funnel-Stage Offers

What it adds

The builder mines your source files for the beliefs a prospect must hold before purchase makes sense, then sequences teaching content that installs those beliefs one per message, each asking for a small non-monetary commitment. It converts indirectly: no message sells, but every message shifts a belief and asks for engagement, so the eventual offer lands on a prepared reader. The conversion event is a completed engagement action — content consumed, a session attended, a question answered — that advances the prospect toward sales-readiness.

What your builder is told to do

The actual instructions, in order.

1
Inspect the source files and write down the three to five beliefs a prospect must hold to consider your offer reasonable; each belief becomes exactly one message.
2
Order the beliefs from least to most contested, since a sequence that opens with the hardest claim loses readers before it earns the right to make it.
3
For each message, teach one idea completely with a concrete example from the source files and end with a single low-cost action: read, watch, attend, reply, or download.
4
Vary the engagement ask across the sequence so no two messages request the same action, and treat each response as a scoring signal rather than a conversion.
5
Build a lead-scoring rule that accumulates engagement signals and defines the threshold at which the prospect exits nurture and enters the offer path.
6
Specify layout: mobile messages must be scannable in under forty seconds with one clear tap target; tablet and desktop landing pages for each asset should keep the reading column narrow, with related-asset navigation visible on desktop only.
7
Add a branch for high-intent behavior — repeat visits to pricing or product pages — that short-circuits the remaining sequence and presents the offer early.
8
Suppress nurture content for anyone who has already purchased and record per-message engagement so underperforming beliefs can be identified and rewritten.

Edge cases it handles

The things an agent skips when you only say "build a nurture offer".

A prospect engages heavily but never converts: cap the sequence and move them to a low-frequency path rather than looping.
A prospect replies with a question: route to a human or a defined response path instead of continuing automation blindly.
The source files lack evidence for a required belief: teach only the supported portion and flag the gap.
A prospect enters nurture from multiple entry points: deduplicate so they never receive the same belief message twice.
Content referenced in a message is unavailable: verify every link resolves before the sequence sends.

Definition of done

Your builder is required to check every one of these before reporting the work finished.

Each message installs exactly one named belief traceable to the source files.
Beliefs are ordered from least to most contested with the rationale documented.
Every message ends with one non-purchase engagement ask, varied across the sequence.
Mobile, tablet, and desktop rendering of messages and linked assets is verified.
A scoring threshold exists that routes engaged prospects out of nurture into the offer path.
Purchasers and duplicate entrants are suppressed correctly.
The builder names the source files behind each belief and lists any belief lacking supporting material.

Related offer files

Funnel-Stage Offers

Lead Magnet

Turn anonymous cold traffic into named subscribers by trading one narrowly useful asset for an email address in seconds.

Funnel-Stage Offers

Affiliate Launch Kit

Equip partners with dated assets, tracked links, and a run-of-show so they can promote a launch window without improvising.

Funnel-Stage Offers

Cart Recovery Offer

Close an abandoned checkout by returning the shopper to their exact cart and resolving the friction that stopped them.

How it works

1

Copy the link

Grab the Markdown blueprint URL for this offer type.
2

Give it to your builder

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