Turn more trials into revenue.
Where trials stall, what the ones that convert did differently, and which pricing, packaging and onboarding changes move the number. Tested, proven, recorded.
From free to paid, the way your best team would run it
A hypothesis with evidence, a variant, a test against control, a record. Every week, on the trial funnel.
See where trials stall
Sign-up to value to paywall to payment, by cohort and plan, with the drop-offs ranked.
Learn what converters did
Research compares converting and non-converting trials in replays and finds the actions that predicted payment.
Test pricing and packaging as real pages
Plan order, annual default, trial length and paywall timing, each a real variant with a revenue guardrail.
The same loop, your metrics.
The method does not change by business model. The evidence, the tests and the number that has to move do.
Trial funnel by cohort, pricing and packaging tested as real pages.
Subscribe-and-save offers, first-order discounts, trial boxes tested on starts and renewals.
Paywall timing and plan order tested on conversion with refund guardrails.
Seller upgrades tested on the moment a listing sells.
Built for monetization
Trial funnel by cohort
Every step from sign-up to payment, watched against its baseline.
Paywall and pricing variants
Drawn on your system, tested on paid conversion and ARPU, not on clicks.
Revenue guardrails
Refunds, downgrades and support volume watched on every test.
What converts, recorded
Which plan order, which paywall moment, which trial length, with the numbers.
Start from a prompt.
“Why do trials not convert to paid? Rank the reasons with evidence.”
Run this when my batch opens →“Set up a test of annual-default pricing against monthly on paid conversion, with a refund guardrail.”
Run this when my batch opens →“Which trial-to-paid tests won this quarter, and how much revenue did they add?”
Run this when my batch opens →Questions, answered.
Does it change prices on its own?
No. Pricing tests run behind flags with a revenue guardrail and a named approver. Nothing goes to 100% without a person.
What data does it need?
Product analytics for the trial funnel and billing data for payments and plans. Replays make the research sharper.
Can we test packaging, not just price?
Yes. Plan contents, limits, trial length and paywall moments are all variants.
Stop running the business. Start directing it.
Join the waitlistPrivate beta. We onboard teams in small batches. Or contact us.