Free diagnostic
You don't need better copy. You need a better offer.
If your offer isn't converting, the problem may not be your copy — it may be the structure of the offer itself. Many marketing problems are actually offer-design problems. Stronger persuasion cannot reliably compensate for friction, weak incentives, poor risk allocation, or an unattractive value exchange.
Copy argues from the facts. Offer design changes the facts.
The Offer Physics Diagnostic identifies where the structure of your offer is helping or hurting conversion.
About 7–10 minutes. One question per screen. Progress saves as you go.
What you get
A report that reads your offer like a structure, not a slogan.
A structured report that reads your offer across four dimensions — Promise, Credibility, Cost, and Price — and tells you where the structure is working and where it is breaking.
Offer snapshot
A one-paragraph summary of customer, problem, promise, and exchange, extracted from your answers.
Executive diagnosis
A plain-language synthesis of the most important thing the evidence actually supports.
Evaluation mode
Whether your offer can be read directly, needs market context, or requires further investigation.
What is working
Material strengths that reached the evidence threshold, with the answers that support them.
Three priority findings
The highest-leverage constraints ranked by materiality, confidence, and controllability.
Component breakdown
Each framework component — Promise, Credibility, Cost, Price — interpreted in your context.
Confidence & gaps
Where the free diagnostic is allowed to be confident, and what information is still missing.
One 30-day experiment
A single, specific intervention designed to test the top-priority constraint.
How it works
Observable facts, structured rules, one question at a time.
Answer one question at a time
Around fifteen short questions in four sections: offer shape, buyer forces, evidence, reality check. One per screen.
Cite the evidence
For claims that matter, you select what your answer is grounded in — direct customer evidence, internal data, market observation, inference, or acknowledgement that it is missing.
Confirm your offer snapshot
After the first section you review an AI-generated summary of customer, problem, promise, and exchange. Correct it before continuing.
Get your private report
The free diagnostic applies structured rules to your answers and produces a report citing your own words. No score, no generic advice.
What changes
Move from copy-fixing to offer-design.
- You stop polishing copy around a structural defect and start redesigning the defect away.
- Objections become design inputs instead of sales-training material.
- You know which constraint to fix first, and what evidence would change your mind.
- Your team discusses the offer itself, not just the messaging.
Ready to read your offer differently?
The diagnostic is free. Your answers are private, and you can delete your data at any time.
Philosophy
The Offer Physics view
A common mistake is treating an offer-design problem as a copy problem. When customers consistently raise the same objection, the instinct is often to develop a stronger rebuttal—to explain the tradeoff more persuasively or make the weakness feel less important.
But repeated objections are often telling you something useful about the offer itself. Instead of getting better at persuading around the defect, redesign the offer so the defect disappears.
The strongest objection handling isn't a better argument; it's making the objection no longer true.
The eight sections
Further reading
Offer design, copy, and value.
What Is an Offer?
An offer is more than a product or price. It is the complete structure of the exchange.
Why Are Offer Problems So Often Misdiagnosed as Copy Problems?
Many conversion problems are blamed on copy when the real problem is the structure of the offer itself.
What Makes an Offer Valuable?
Value emerges from the interaction of Promise, Credibility, non-price Cost, Price, and the alternatives available to the customer.
Value Margin
Engineer the largest feasible spread between customer value created and delivery cost first. Decide how to divide that value second.