How to run paywall experiments, with RevenueCat's CRO expert

A practical session with Julie, RevenueCat’s Sr. CRO Designer, on finding the right paywall opportunities, building stronger hypotheses, and running tests in RevenueCat that lead to clearer revenue decisions.

Paywall experiments are most useful when they are grounded in real funnel data, built around a clear hypothesis, and measured against the right success metric. Without that structure, teams can spend weeks testing changes without knowing whether the result is meaningful. In this partner webinar, Julie walks through a practical framework for paywall experimentation in RevenueCat. You’ll learn how to decide what to test, set up an experiment properly, and interpret the results so your team can confidently ship, kill, or iterate.

What we’ll cover

Finding what to test

Learn how to read your funnel data, compare performance against industry benchmarks, and prioritize which paywall problem to fix first.

Building a hypothesis

Use a simple problem-to-hypothesis framework: “We believe that [change] will improve [metric] because [reason].” Julie will show what separates a strong hypothesis from a weak one.

Running the test

Walk through sample size planning, how much traffic you need, and how to set up an experiment in RevenueCat, including rollout percentage and choosing the right metric to track.

Reading results

Understand what statistical significance means, what it does not mean, and how to calculate predicted LTV and revenue impact from test results.

Who should attend

This session is built for agencies and consultants who want a clearer process for testing and improving paywalls for subscription apps.

It will be especially useful if your team is actively working on conversion, pricing, packaging, trial strategy, or paywall optimization.

You’ll leave with

• A clearer way to choose test ideas — Focus on the paywall changes most likely to improve performance.
• A practical hypothesis framework — Make each experiment easier to evaluate before it starts.
• A better understanding of experiment setup — Avoid tests that are too small, too short, or tied to the wrong metric.
• A framework for reading results — Decide whether to ship, kill, or iterate based on impact, not guesswork.

Speaker

Julie leads the session with a practical CRO lens, helping teams understand how to choose better paywall tests, build stronger hypotheses, and make more confident decisions from experiment results.

Julie Buzhynskaya — Sr. CRO Designer, RevenueCat

CRO Designer with 10+ years of experience. I specialize in onboarding, funnels, paywalls, cancellation flows, and win-back strategies for mobile subscription products — working with publishers like Palta, Mosaic Group, and Impala Studios. I’m business-oriented by nature: I treat design as a tool to solve conversion and monetization problems, not an end in itself.

Bring your paywall questions, your testing ideas, and your conversion challenges. Julie will show you how to turn them into better experiments with RevenueCat.