A 3-Page Priming Paywall Flow That 3x'd LTV (Data from a 14 Day A/B Test)

PLUS: After Closing 4000+ Sales, I Discovered a New Method to Close Deals Faster

A 3-Page Priming Paywall Flow That 3x'd LTV (Data from a 14 Day A/B Test)

In the world of mobile app monetization, minor tweaks to UX and messaging can generate massive changes in performance metrics.

Two real-world A/B tests illustrate how thoughtful framing and a user-first approach can lead to outsized gains in trial starts, conversions, and long-term retention.

This Simple Reminder Banner Unlocked a 327% Boost in LTV

In this test, users saw a three-step sequence before the paywall:

  1. A 7-day free trial pitch

  2. A message promising to remind them two days before the trial ends

  3. The actual paywall screen

3-page priming paywall UI

This upfront transparency reframed the decision, making users feel safer to proceed.

3-page priming paywall A/B test

The results were dramatic:

  • +72% increase in trial starts

  • +180% increase in paid conversions

  • +327% lift in customer lifetime value (LTV)

Customer journey insights

The fear of being charged unexpectedly often deters users. By signaling that they could cancel in time—and would be reminded—the app removed friction and boosted both trust and performance.

A Clever Click-Wheel UI Lost to Plain, Purposeful Navigation

Another experiment compared two UI treatments:

  • Treatment A: A nostalgic "click-wheel" interface that felt unique and clever.

  • Treatment B: A standard homepage layout with clear goals like "Sleep," "Focus," and "Relax."

Clever vs Clear A/B test UI

While the clever UI initially captured attention, it created cognitive friction. The clearer design made it easier for users to find what they wanted and return consistently:

  • Treatment B led to higher retention over the first 7 days

  • It also increased average session length from 1.2 to 1.6 after the release of Version B around April 20th, indicating more value per visit

Retention Impact of Clever vs Clear

Clarity isn’t just about aesthetics—it’s about mental ease. Users stay longer when they instantly understand how to get what they want.

Average Engagement Time per Session

How Personalization and Onboarding Data Fueled Repeat Use

The app introduced a "Made for You" section, automatically populated based on onboarding data like user-selected goals or listening preferences.

Made for You

This personalized recommendation hub drove sustained engagement:

  • Users were 2.3x more likely to return within a week

  • The section helped surface lesser-used content, expanding perceived value

When an app feels tailor-made, users treat it like a habit—not a trial.

The idea for the redesign came directly from reading user reviews. Users were explicitly stating that they had problems (e.g., trouble sleeping, lack of focus) and needed help finding the right frequency, but the old design made them search for it.

The new design directly addressed this user feedback by organizing content around solutions. This reinforces the principle that listening to users is a direct path to improving engagement and retention.

RevenueCat, Fast Iteration, and Avoiding False Positives

Fast iteration wasn’t just a process advantage—it was a strategic edge. Using RevenueCat, the team ran rapid A/B tests with reliable attribution across multiple platforms. This allowed them to:

  • Validate hypotheses within days instead of weeks

  • Detect winners early and avoid scaling false positives

However, one major lesson: Context matters.

The paywall priming test that worked for an annual subscription actually reduced conversion when applied to a weekly plan. Learning: always test pricing strategy changes by plan type.

Additionally, scaling learnings across a portfolio of apps requires caution. Each app has unique audiences and behavioral patterns. The best teams don’t just copy-paste winners—they validate them again.

These tests reveal a core truth: users don’t resist paying—they resist feeling manipulated. When companies lead with clarity, frame offers with empathy, and test with discipline, the results speak for themselves.

Hat Tip to Steve Young for the insight.

Top Tweets of the day

1/

I was re-watching Silicon Valley (TV Show) just for giggles and I noticed Erlich Bachman having a word for this: Brainrape.

AWS was trying to brainrape BrowserBase founders:

Their questions were:

  • "Who are your biggest customers and why do they use you?"

  • "What are the unique technical approaches you've taken that give Browserbase an advantage"

  • "What is your roadmap, and can you be specific about why each item is important?"

2/

Self-improvement apps on Cornhub are getting 8x ROAS compared to 2x ROAS for Meta without any targetting, just creative and storytelling.

One quote-tweet I loved: "Religion has been using guilt for thousands of years. It works. Can’t wait to see churches advertising on Cornhub."

It makes sense since such places have solved the most hardest problem any startup has: Distribution.

3/

If you do mobile apps, copy Cluely's marketing strategy. You can't pay as much as them to USA-based UGC creators but the world has many top-UGC creators who don't cost as much but still got the charisma.

Focus Tree uses this strategy and gets results like Cluely but they move in silence since their product isn't as controversial.

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