Split Into Tiers

Break a single take-it-or-leave-it offer into tiers that capture buyers at different budgets without gutting the core promise.

Pro simple Offer Improvement Recipes

What it adds

Fixes the one-price offer that loses buyers who want less and undercharges buyers who would gladly pay for more. The AI builder analyses the deliverables and objection notes in the source files to find a genuine dividing line — depth, speed, or support — and builds tiers along that single axis. The outcome is a spread of options where the recommended tier stays obvious and comparison remains easy.

What your builder is told to do

The actual instructions, in order.

1
Inspect the source files and sort objections into too-expensive and not-enough. The balance between them tells you whether to add a lower tier, a higher tier, or both.
2
Choose one dividing axis — depth of work, speed of delivery, or level of support — and hold to it. Tiers that differ on several axes at once force buyers into analysis and stall the decision.
3
Build the middle tier first as the recommended option, closest to the current offer, then define the tier below by removing along the chosen axis and the tier above by extending along it.
4
Protect the core promise: every tier, including the lowest, must still deliver the central outcome. A tier that cannot is a different offer and should be named as one.
5
Separate structural changes from copy changes: structural work is tier definitions, entitlement differences, delivery load per tier, and upgrade paths; copy work is tier names describing the buyer rather than metal grades, the comparison labelling, and the recommendation marker.
6
Make the recommended tier visually dominant and state in one line why it fits most buyers, using reasoning drawn from the objection notes.
7
Specify responsive behavior: on mobile, tiers stack with the recommended one first and each showing only its differences from the others; on tablet, two tiers render per row with the comparison expandable; on desktop, all tiers appear side by side with differences highlighted and shared inclusions listed once beneath.
8
Define tracking: measure the take rate per tier, blended revenue per visitor, upgrade rate from the lower tier, and refund rate by tier. Rollback rule — remove the lowest tier if it cannibalises the middle without lifting blended revenue per visitor above the pre-change baseline.

Edge cases it handles

The things an agent skips when you only say "build a split into tiers".

Do not create a lower tier by removing something the core promise depends on; remove along the chosen axis only.
Preserve existing customers' entitlements and map them explicitly onto the new tier structure.
Avoid a decoy tier designed only to be rejected; every tier must be genuinely deliverable and genuinely purchasable.
If the objection notes show a single dominant price point rather than a spread, report that and consider a different recipe before tiering.
Never let shared inclusions be repeated per tier in a way that inflates the apparent difference between them.

Definition of done

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

Objections are sorted into too-expensive and not-enough, and the tier structure follows that balance.
A single dividing axis is named and every tier difference sits on it.
The core promise is delivered by every tier, including the lowest, and this is documented.
Before and after pricing structures are recorded, including how existing customers map onto the new tiers.
Mobile, tablet, and desktop tier presentations are each specified, with the recommended tier first on mobile.
Per-tier take rate and blended revenue tracking are defined with a cannibalisation rollback trigger.
The builder reports which source files it used and flags any delivery-capacity assumption per tier.

Related offer files

Offer Improvement Recipes

Create An Order Bump

Insert a single low-friction add-on at checkout that completes the purchase without pulling attention off the main decision.

Offer Improvement Recipes

Remove False Urgency

Strip resetting countdowns and invented scarcity from an offer and replace them with real reasons to act now.

Offer Improvement Recipes

Add Usage Limits

Define honest usage limits that tie price to value received and stop a minority of heavy users consuming the entire margin.

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.