![51 paywall experiments [with examples] Figma board](https://cdn.prod.website-files.com/65ba19a5d4e4d1b2bbc3ee31/6a86eddcd9f4c3b19d219ee7_0.webp)
Image: 51 paywall experiments [with examples] Figma board
This is the continuation of my 187+ paywall-ranking exercise article I published earlier. ICYMI, tap on the image below...
Image: I ranked 187+ paywalls into 5 tiers
“This is a really, really good compilation. Needed some app2web references. Thank you!”- Yasir, Reframes
I’ll begin with a fair warning. This article is going to be exhaustingly long. You definitely wanna bookmark this for later. Or ask your favourite LLM tool to create a markdown file from it.
Feel free to share this on your team’s Slack. [I know, as if you didn’t have enough ideas already sitting in your backlog, haha].
I organized each of these paywall experiments across 5 monetisation growth levers [or “focus areas”, which is the term I use on my mobile app monetization & CRO framework → ]
Once you’re inside my Figma board, follow the “arrows” to find out the variant changes, UI elements, and design patterns in question.
You’re gonna feel tempted to start running tests randomly off this resource. But I wouldn’t recommend doing so because there’s a much smarter way.
Structure your experiments by focusing on 1 lever at a time. In that way, you can easily understand what impacts your revenue growth the most.
Prioritise your test ideas first with your team using the RICE score. Determine your highest-leverage experiments based on your app’s unique situation.
[Btw, if you want me to do this for you, submit your app here →]
Small disclaimer: a couple of paywall experiments in this list may [or may not] get flagged during Apple review. Meaning, don’t blindly test everything you see online. Always proceed with caution.
With that out of the way, here’s the complete list of all 51 paywall experiments…
This list of 51 paywall experiments would be useless if you didn't have a system to run them through. I’d rather you steal my system than my list. So here’s mine quickly…
Image: Mobile app monetization & CRO roadmap deliverables
Each experiment we run next is documented in a Google Doc. This is what we include in our hypothesis-impact brief:
After an experiment ends, the same doc gets the receipts:
Why go through all this trouble when your experiment data already lives on the Revenuecat/Superwall tab?
I believe every team should build their own “experiment learnings bank”.
Imagine your “one-source-of-truth library” for every growth initiative you’ve shipped in your business lifetime. It can live on Notion, Google Drive, or wherever you want. The goal is to stop running in circles by starting your experimentation program from zero every quarter.
This is my specific approach on how to compound my learnings. Even if experiments fail, you get to translate them later down the line into revenue growth. If you need help implementing this growth discipline, submit your app here →
TLDR: Monetization growth systems > One-off random tests.
End of side quest.
Let’s get to the best bits.
Image: Paywall designs from Scratch AI, Birda, GoTall & Imprint
Image: App2web checkout example from FitBod & Strava app
Image: Flo period tracker app's trial-toggle button experiment
Image: Paywall examples from Headway, BoldVoice & 18Birdies
Image: App2web checkout in Fig, BoldVoice & Flo app
Image: Paywall designs from Strava & Brainrot app
Image: App2web with in-app fallback paywall from Rise sleep app
Image: Paywall examples from InTolerApp, Mob, Welltory & AllTrails app
Image: Paywall design from Candles, Birda, Vocabulary & Headway app
Image: Wanderlog, Me+, Gravl, Quittr, Cal AI & Olive paywalls
Image: Paywall design from Quizlet, Bevel, Arrow & Alma nutrition app
Image: Paywall CTA button from Mob, Waking up & Headway app
Image: Test variant examples from Speak, Greg & Tiimo app
Image: Paywall examples from Shuteye & Home workout app
Image: Post-purchase UX design from Life Reset, Bearable, Fig Food Scanner, Bevel, BoldVoice & Alma app
Image: Paywall offering example from Yuno, Blinkist, Calm & Komoot
Image: Yearly-monthly pricing example from MyFitnessPal, Gravl, Planta app
Image: Pricing & packaging example from Me+, Quizlet & Olive app
Image: App2web pricing from Atoms habit tracker app
Image: Reverse trial example for Ladder fitnerss app
Image: Upsell offer example from BetterMe app
Image: Lifetime pricing example from Outsider, Fryd & Greg app
Image: Weekly-yearly pricing combo from Cue NoteTaker, GoTall & Coursology app
Image: Design your trial paywall example from Imprint, Fig, Reframe & Kinedu app
Image: Paywall design examples from Olive, Planta, Mob, Welltory, Campercontact, Gravl, Symmetry & Birda app
Image: 9 paywall copy examples for objection-handling
Image: Paywall headline examples from Lifesum, Babbel, Waking Up, Scratch AI, Imprint & Kinedu app
Image: Paywall button copy example from BeHard, Gentler streak, Bevel & Kinedu app
Image: Paywall hero visual asset example from Opal, Brainrot, Me+, Catzy & Fastic app
Image: Paywall design pattern from Quittr app
Image: Paywall content example from Fryd, Roots, LocationScout & Flighty app
Image: FAQ section from Roots, GenK, LocationScout, Hevy & Runna
Image: Save badge examples from Livity, AllStays, Dogo & KBMH Kettlebell training app
Image: Onboaring paywall exit offer example from FoodVisor, Fish AI & Vocabulary app
Image: Paywall exit offer example from Babbel language app
Image: Paywall exit offer setup from Blinkist app
Image: Paywall promotion offers example from Headway app
Image: Paywall exit offer setup from Quittr app
Image: End-your-trial-now / swap-your-trial offer examples
Image: Promotion offer in subscription cancellation flow
Image: Push notification placement for promotion offer
Image: Promotion offer example during app uninstallation
Image: Paywall personalization using onboarding quiz inputs
Image: Paywall personalization example from Calm app
Image: Trial-end reminder personalization examples from Duolingo, Planta, Rise, Fish AI, MyMentalPal, Yuno & Vocab app
Image: Paywall offering personalization hypothesis using ReciMe meal planner app's HDYHAU question
Image: Paywall personalization example based on user's age group or purchasing power
Image: Paywall personalization example from LinkedIn app
Image: Paywall personalization example based on user intent
Image: Tailored paywall content based on Apple ad keywords
Image: Paywall personalization based on country storefront
The 5 levers are paywall design and setup, pricing and offering, content and messaging, promotion offers, and personalization.
Every one of the 51 experiments on this page sits inside one of them. Structuring your backlog by lever instead of by random idea is what lets you understand which part of your monetization setup actually moves revenue.
Run one lever at a time. Testing a headline this week and a price next week gives you wins you cannot attribute to anything.
Start where your funnel is leaking hardest, not where the idea is most interesting. If fewer than 60% of installs ever reach your paywall, fix placement first.
If people see it and bounce, start with paywall design and messaging. If they start trials and do not convert, work on pricing and offering.
If they convert and churn, look at your trial timeline, cancellation flow and reminder settings.
Picking the wrong first experiment does not just cost you a sprint. At low volume it can cost you a quarter.
Low volume means you need a bigger effect to detect anything at all, so micro-copy tests are a waste of the traffic you have.
Go for structural changes with large expected swings: single-screen versus multi-step, a different pricing and packaging structure, adding an exit offer, or a reverse trial.
Accept a longer runtime and calculate the sample you need up front instead of calling the test when it starts looking good. Most low-volume apps are not blocked by traffic. They are blocked by testing things too small to measure.
If your app is making $1,000 to $5,000 a month in proceeds, a full monthly monetization program wouldn't be the right purchase.
That is exactly why our $1k paywall experiment offer exists. You get one high-leverage experiment identified, designed and briefed without committing to a monthly retainer or paying for a research phase your revenue cannot justify yet.
Most teams start here to find out whether we work well together before committing long-term.
No. Plenty of teams run these natively in Swift or React Native, and if you are already comfortable shipping code, native is often faster than learning a new SDK in the middle of a build.
No-code monetization tools like RevenueCat, Superwall, Adapty and Purchasely make iteration faster once your experiment cadence picks up, but they are a convenience rather than a requirement.
What matters far more is clean event tracking with a placement property on your paywall view event, and cohorting by install date rather than event date.
Stacking costs you attribution. You will know the new setup beat the old one but not which specific change did it. That is a fair trade when you cannot afford to isolate variables and you need a revenue result now.
The real mistake is stacking without admitting it, then trying to explain the result afterwards. Decide up front whether the experiment is answering does this direction work or which specific change works, and design it to match
I find your highest-leverage monetization experiments. You and I then prioritise and pick one growth initiative to deploy.
You get custom design and copy in Figma ready for your team to implement, plus a hypothesis-impact brief with the problem, the solution hypothesis, primary success metrics and guardrail metrics defined up front.
After the experiment ends you get my recommended next initiatives based on what we learned. No pitch deck and no forty-slide strategy document.
Many experiments eventually lose. That is what running them honestly looks like, and a documented loss still teaches you something about your users that you did not know before.
Here is my commitment either way: whichever option a team picks, I stick around for free until you hit positive ROI on my services. If you would rather see where your revenue is leaking before spending anything at all, start with the free CRO audit.
Start with a free CRO audit of your app where we schedule a 30-minute coffee chat on Google Meet to go through your mobile app's current paywall & onboarding setup together. No pitch deck, no strings attached.
By the end, you walk away knowing the 3 biggest blockers costing you real money. if we think our monetization & CRO program isn't a good fit for your app, we'll tell you that too.
Find more about Roastmyapp's mobile app monetization & CRO framework here →
Best,
Muhammad Rahat
Founder @ Roast My App LLC
