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Hire an AI offer profit comparison planner

Give it your product, price and one buyer's main doubt in their words. You get an offer built on one buyer doubt, with a profit check.

What you give

  • Your product, price and one buyer's main doubt in their words
  • Your cost per unit, shipping and fulfilment cost per order, and payment fees
  • Your average order value and how order sizes spread

What you get

  • An offer built on one buyer doubt, with a profit check
  • Gift options, two to four spend tiers, margin and break-even at each tier, store lines and a stop rule
  • A guarantee with net sales and net profit before and after
  • The ad return you must hit for the offer to beat a discount, a safety score out of 100 and a verdict

An example

You run percent-off sales and want an offer that lifts profit instead of only revenue.

You ask: “Give it your product, price and one buyer's main doubt in their words. Use the material I attach and ask for anything essential that is missing.”

You get back:

  • Step 1 offer. The buyer doubt, the offer with its terms, a profit check and five checks.
  • Step 2 gift or tier. A gift pick, two to four spend tiers, margin and break-even per tier, store lines and a stop rule.
  • Step 3 guarantee. Net sales and profit before and after, the terms, a name and where to show it.

An example, not your task.

Hire this specialist

It is free and needs no account. Download the pack, give it to your AI and tell it the job. Your AI asks for anything it is missing, then does the work and checks it.

Download the specialist

Related specialists

Skills and workflows for this job: Make an offer people want

Details

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

  • An offer built on one buyer doubt, with a profit check
  • Gift options, two to four spend tiers, margin and break-even at each tier, store lines and a stop rule
  • A guarantee with net sales and net profit before and after
  • The ad return you must hit for the offer to beat a discount, a safety score out of 100 and a verdict
  • Profit per order and per visitor for each offer, a winner, and a score for how far the read-out can be trusted

How it does the job well

  • Write for one named audience and one action. Each asset has a single job.
  • Use the customer's own words from reviews, calls or surveys before inventing language.
  • Every claim needs proof the business can show. Leave unproven claims out or mark them.
  • Judge results against the business goal, such as profit or qualified leads, not clicks alone.

Mistakes it avoids

  • Generic copy that could fit any brand.
  • Comparing periods or campaigns that are not comparable, such as different dates, budgets or tracking.
  • Calling a test winner before there is enough data.

What a good result looks like

An example, not your task: You run percent-off sales and want an offer that lifts profit instead of only revenue.

  • Step 1 offer. The buyer doubt, the offer with its terms, a profit check and five checks.
  • Step 2 gift or tier. A gift pick, two to four spend tiers, margin and break-even per tier, store lines and a stop rule.
  • Step 3 guarantee. Net sales and profit before and after, the terms, a name and where to show it.
  • Step 4 discount test. The ad return you must hit for a low and a high case, a score out of 100 and a verdict.
  • Step 5 profit per visitor. Profit per order and per session for each offer, a winner and a trust score out of 100.
  • Hand-back summary. Each step's file, any step not run, and every missing input in one list.

How the work is checked

  • Each step passed its own checks, or the run stopped at the step that failed and says why.
  • The steps ran in order, and each one used the result of the one before.
  • Nothing was invented to fill a gap. Every gap is a MISSING: line.
  • Nothing was sent, published or paid for without a clear yes.
  • States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

A second opinion

Before it hands back, your AI reviews the draft the way Alex Hormozi and Jonah Berger would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

  • Build the offer. Puts the buyer's main doubt on one lever of value, such as result, certainty, time, effort or price. Builds the offer, checks profit and runs five checks.
  • Add a gift or tier. Picks the gift first, then sets spend tiers above your average order value. Checks margin at each tier and writes banner and cart lines.
  • Add a guarantee. Tests net sales and profit with and without it, counting return shipping and lost stock. Sets the terms and where to show it.
  • Test it against a discount. Works out the ad return you must hit to keep the same profit per order. Scores the plan out of 100 and gives a verdict.
  • Compare profit per visitor. Builds a cost table for each offer and works out profit per order and per session. Flags offers that raise order value but lose profit per visitor.

How the role works

  1. Checks your task, context and available tools.
  2. Picks the methods needed and prepares a work plan.
  3. Carries out supported tasks, with each method's limits and review gates.
  4. Checks the real deliverables and corrects supported faults.
  5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id build-an-offer-that-sells-without-cutting-your-margin only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/build-an-offer-that-sells-without-cutting-your-margin/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

  • Your product, price and one buyer's main doubt in their words
  • Your cost per unit, shipping and fulfilment cost per order, and payment fees
  • Your average order value and how order sizes spread
  • Your guarantee and return terms, with return rate and cost to take a return back
  • The discount you are thinking of, and your target ad return
  • Order history, past sales and your current offer's sessions and orders (optional)

Tools and access

  • Shopify: If you sell on Shopify, it exports every order with totals, line items, discounts and shipping, which the profit check needs.
  • Google Sheets: Keeps the profit check as formulas, so you can change a cost and see what one order keeps.
  • Any good chat AI: Any current chat AI can match the doubt to a lever and word the offer.
  • Any good chat AI: It does the tier sums and writes the banner and cart lines.
  • Shopify: Cart progress bars and gift-with-purchase rules come from theme features or apps. Check which your theme supports.
  • Any good chat AI: It runs the net-sales sums and writes the guarantee wording.
  • Shopify: Return and refund reports show your real refund rate and refund cost. It is a paid service, and you need a paid plan.
  • Shopify: Its reports give you AOV, units per order and discount codes used, which are the inputs this check needs.
  • Google Sheets: Keep your cost table and past sales in a sheet, then paste them in.
  • Any good chat AI: It builds the cost tables and sums from the numbers you paste.
  • Google Sheets: A sheet keeps the cost lines in one place so each new test only needs sessions and orders.
  • Shopify admin reports: Sessions, orders and conversion rate by landing page for each variant.

Functions and deliverables

  • Offer profit comparison planner: Plan an offer, gift and guarantee, then compare its costs and profit per visitor with your current deal.
    • An offer built on one buyer doubt, with a profit check
    • Gift options, two to four spend tiers, margin and break-even at each tier, store lines and a stop rule
    • A guarantee with net sales and net profit before and after
    • The ad return you must hit for the offer to beat a discount, a safety score out of 100 and a verdict
    • Profit per order and per visitor for each offer, a winner, and a score for how far the read-out can be trusted
  • Customer offer builder: Build an offer that answers your buyer's main doubt and still makes a profit. Give it one buyer, your prices and costs. Get up to three offers.
    • Up to three offers, each on a different lever, with who it's for, what they pay and what makes yes safe
    • The line for the page, the line a person would say aloud, and the terms
    • A profit check, or the formula when a cost is missing
    • What you must arrange first, the five checks, and a test plan
    • Any of the five checks an offer still misses, one line each
  • Gift-with-purchase planner: Plan a gift with purchase that lifts order value without a discount. Give it your products, costs and average order. Get spend tiers and a margin check.
    • Two to four spend tiers with the reward at each
    • Cost of each tier as a share of order value, and a break-even check for each gift
    • Banner, product page and cart lines for each tier
    • A before-and-after margin model and a stop condition
  • Store guarantee planner: Give it sales, refund rate and product type. Get guarantee settings, a net-sales test and placement.
    • A net-sales and net-profit comparison for the old and new guarantee
    • A guarantee type and settings (length, conditions, coverage and start)
    • A name and wording, and a placement plan for page, cart and ads
    • An optional second layer, and a list of checks it missed
  • Discount margin and ad-cost checker: Model a discount using price, costs and order size. Get the ad-return target for a profit goal and a rule-based review.
    • The full-price numbers and the same numbers under the discount
    • A supported positive-CPA ad target, or a not-viable/zero-CPA result with its reason
    • A custom planning score only for valid complete inputs; points do not prove success
    • The discount depth with the most profit per order, when your history allows it
    • The same promo run as a percent off, a bundle or buy-one-get-one, and a gift, side by side
  • Offer profit-per-session checker: Share offer variants, full costs and traffic results. Compare contribution per session, break-even figures and a custom evidence score.
    • A table of net profit per order and per session for every variant
    • Break-even ROAS and CPA for each, and a flag for offers that raise AOV but lower profit per session
    • A winner and a recommended next test
    • A trust score out of 100 with the sum shown, and a list of checks it could not run
  • Brand profile builder: Share your website. Get a reusable profile covering your products, customers, voice and approved claims, with sources.
    • A folder of eight plain files, from a start file for your AI to a claims list and a change log
    • A tag on every fact, and every claim marked approved, pending or banned
    • A two-sentence diagnosis of your biggest gap, and a list of what's missing and who can answer it
    • A short slice for your next step, if you name one
  • Alex Hormozi: Improve an offer, price or lead plan using Alex Hormozi’s recorded frameworks. Check buyer needs, costs and honest promises before adding more leads.
    • Your problem worked on the way Alex Hormozi would: their questions, their method, their push-back
    • The answer or the work, in Alex Hormozi's voice, using their ideas by name
    • Anything that goes beyond their public record, marked
    • One suggested next step
  • Jonah Berger: Make a message easier to share or a change easier to try through Jonah Berger’s recorded research. Find the useful hook and remove barriers.
    • Your problem worked on the way Jonah Berger would: their questions, their method, their push-back
    • The answer or the work, in Jonah Berger's voice, using their ideas by name
    • Anything that goes beyond their public record, marked
    • One suggested next step

Tasks you can use it for

  • You run percent-off sales and want an offer that lifts profit instead of only revenue.
  • Your average order value is flat, and you want a gift or spend tiers to lift it without a discount.
  • You are about to launch a sale and want to know the ad return it needs before you spend.

Limits to check before starting

  • You already have an offer and only want to test a discount against your profit goal. Use the Discount margin and ad-cost checker.
  • You have not set your price yet. Use Product price and discount planner.
  • You only want bundles, a free-shipping line and an after-sale offer. Use Bundle and add-on offer test planner.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

  • Download the handoff pack. It's a zip with HANDOFF.md and every skill file this workflow uses.
  • Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
  • Give it all your costs per order. Product cost alone makes every discount look safe, so add shipping, fulfilment and fees.
  • Name your buyer's biggest doubt in their own words, from reviews or calls.
  • Give step 5 your real sessions and orders for each version. Then launch the winner and keep the stop rule.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/build-an-offer-that-sells-without-cutting-your-margin for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.