Improve The Bonus Stack

Prune a padded bonus list down to the few additions that remove real obstacles between purchase and the promised result.

Pro simple Offer Improvement Recipes

What it adds

Fixes the offer weighed down by bonuses that inflate perceived quantity while diluting the core promise and cheapening the whole package. The AI builder maps every existing bonus against the obstacles buyers hit on the way to the outcome, then cuts what serves no obstacle and reframes what survives. The outcome is a shorter stack where each remaining item has an obvious job.

What your builder is told to do

The actual instructions, in order.

1
Inspect the source files and list the obstacles buyers hit between paying and reaching the promised outcome, in the order they encounter them.
2
Map every existing bonus onto that obstacle list. Bonuses that map to no obstacle, or that duplicate another bonus, are removal candidates.
3
Cut the unmapped bonuses entirely rather than repositioning them; a weak bonus moved lower on the page is still a weak bonus.
4
Reframe each surviving bonus by the obstacle it removes rather than by its format — name the barrier, then the item, then when the buyer uses it.
5
Sequence the remaining stack in the order the buyer will need each piece, so the list reads as a path rather than a pile, and identify any obstacle with no bonus covering it as a gap worth filling.
6
Separate structural changes from copy changes: structural work is removing items, resequencing, and adjusting delivery or access for anything cut; copy work is the obstacle-first descriptions and the section heading.
7
Specify responsive behavior: on mobile, each surviving bonus renders as one card with the obstacle as its heading, stacked in sequence; on tablet, a two-column grid preserving sequence left to right; on desktop, the stack sits beside the core deliverable so the buyer sees which is primary.
8
Define tracking: record the before and after bonus count, conversion rate, refund rate, and actual usage or access rate per remaining bonus. Rollback rule — restore a removed bonus only if conversion drops and support requests specifically name that item.

Edge cases it handles

The things an agent skips when you only say "build a improve the bonus stack".

Do not remove a bonus that existing customers were promised without checking whether they retain access; honor prior commitments found in the source files.
Preserve stated values or prices attached to bonuses exactly as the source files record them; never inflate a bonus value to grow a total.
If a bonus removes a real obstacle but is poorly delivered, fix the delivery instead of cutting the item.
Where an obstacle has no bonus covering it, flag the gap rather than inventing a new deliverable the business has not built.
Avoid stacking bonus values into a headline total; this recipe strengthens relevance, not arithmetic.

Definition of done

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

An ordered obstacle list exists and every retained bonus maps to at least one obstacle on it.
Before and after bonus counts are recorded with a stated reason for each removal.
Each surviving bonus is described obstacle-first, naming when the buyer uses it.
Uncovered obstacles are flagged as gaps rather than filled with invented items.
Mobile, tablet, and desktop presentations of the pruned stack are each specified.
Per-bonus usage tracking and a conditional restore rule are defined before launch.
The builder reports which source files it used and lists any bonus whose delivery status it could not confirm.

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

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.

Offer Improvement Recipes

Remove False Urgency

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

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.