Predictable Profits

Predictable Profits · Client tool

Test headlines, pages, ads, prices, and other offer variables against synthetic buyers.

Simulator pressure-tests whatever you provide — a page, ad, price, headline, workshop, or other variable — before you scale the push. Each buyer answers a short set of questions. Code writes the verdict and the Do first step. The yes that matters is the named conversion on that artifact, not whether someone liked the copy.

What you test

Headlines, sales pages, landing pages, ads, prices, CTAs, workshops as one example — paste copy or extract a public URL — and the next commercial step: topic, price frame, or CTA, one change at a time.

Who they are

A buyer panel. Pick preview 10 or full ~1,000. 1,000 buyers generated from 10 base profiles; each buyer answers separately. The default mix is 40% cold / 30% warm / 30% hot — not all hot. Or paste a client profile and the panel is built only from that buyer.

What you get

One study URL: Verdict + Do first, temperature mix, hot conversion rate, buyer reasons, the named next step, A/B deltas, and Ask the results (five retested replacements when you ask what to change first). Built to send to a client — only after Vercel Blob is configured, so the link survives serverless.

Honest scale

Preview 10, quick check 100, or full ~1,000. Simulation, not a poll.

1,000 buyers generated from 10 base profiles; each buyer answers separately. Sample spends no credits. Preview 10 is free, even live. A quick check of 100 buyers is 2 credits. A full study is 10. A live run shows the credit cost before it starts.

What this is and is not

A simulation for early decisions, not a guarantee.