Start with a simple funnel and see which audiences pay
One funnel for everyone. The traffic of every audience walks the same screens to the same paywall, and the return is negative — but every visit is attributed, so you learn who is who.
Optimise the funnel for the audiences that matter
The same traffic, split by audience: each one gets its own screens and its own paywall, and the return turns positive.
Optimise prices with ML
The same journeys, each with the price its audience takes. Version 2 tests a higher price on the audience that pays as readily at $29 as at $19.
Every creative measured by ML gets a verdict
Measured inside the funnel, not beside it. The ones that lose are switched off and their budget spreads across the ones that keep working, so the return grows on the same ad budget, if the rates hold.
ML forecasts which product pays back and raises ROAS
Two products for one audience — the same starts, the same ad spend, only the promise and the price differ. The model learns from your own renewals, and a young cohort borrows the project’s history until it has enough of its own, so the answer is readable while the money is still arriving: today neither has covered the ad spend and the cheaper one looks ahead, and it is the other one that ever pays back. The shaded band is how far the answer moves with the renewal rate, not a confidence interval.
AI + ML analytics = actions backed by numbers
Every row ends in a move, not a verdict: raise the budget, replace the creative, retest it on cheaper traffic, or wait for the cohort to mature. The number painted in the action’s colour is the one the action rests on — the forecast when it clears the cost of a person, the steps when the creative brings the wrong people, the price of a payer when the people are fine and their traffic is not. The last row is the funnel itself: not every action is about a creative.
The Segmently Mechanism
Find audiences ready to pay
The need for your product value is strong, and the money is there
Get facts that help you sell and retain customers
Audience personas → insight extraction → experiment → new insights
AI agents personalize product value for each audience
You choose the level of delegation
A self-learning strategy based on ML + AI insights
We combine ad data, funnel metrics, and psychology
No need to understand the whole system
Manage everything through the segmently CLI in Codex, Claude, and more
Team are experts in mobile/web onboardings. They have been incredibly helpful throughout the process and went the extra mile to provide value. Highly recommended!
Using segmently.ai, I saw a 200% increase in payment conversions through my experiments with onboarding and paywalls. The platform helped me identify the features users really want, prioritize them, and streamline my backlog. The best part is being able to update onboarding and paywalls without needing an App Store release, which totally changes how I approach app creation and monetization.
Thanks to segmently.ai, we boosted our conversion rates considerably. We gathered valuable audience insights and, with the help of the segmently.ai team, built customized activation funnels for each segment. We’re currently testing these funnels in both web-to-app and iOS platforms.
We requested an audit of our onboarding and were extremely satisfied with the results. The team assisted us in identifying target audiences and developing activation strategies for each. We then launched web onboarding, allowing us to test 30 hypotheses in just two weeks without needing any developers!
Prices in USD, excluding VAT. Unique visitors are counted per project per calendar month. Ad-spend attribution covers campaigns whose traffic reaches a Segmently funnel; Meta Ads today.
