How Flibbo gained 20% growth by moving from static paywalls to instant A/B testing

A first-time app team replaced slow, manual paywall updates with instant, data-backed monetization experiments.

Intro

Flibbo is a new application offering a suite of AI tools, including a multilingual AI assistant, image generation, and photo analysis. As a team launching their first app, they faced the steep learning curve of finding the optimal paywall strategy from scratch.

Flibbo utilized Superwall's flexible platform and expert support to quickly move from slow, frustrating manual updates to instant, data-backed monetization experiments.

The challenge

Flibbo faced a critical learning curve and time-to-market challenge:

  • Engineering bottleneck. Initially, changing even a single word on the paywall required the team to submit a new app update for Apple's review, which was a slow, time-consuming process.

  • Inexperience. The team lacked experience in paywall optimization and needed to learn fundamental strategies, such as how paywalls should look and function.

  • Monetization model uncertainty. They needed to rapidly test everything—from design and copy to fundamental pricing models (basic vs. VIP, trial vs. hard offer).

The solution

Flibbo leveraged Superwall as a comprehensive solution for both infrastructure and strategic guidance, enabling constant A/B testing and iteration. The experiment strategy evolved through several phases:

  • Instant iteration. The ability to tweak pricing, copy, and design instantly—without needing to push a new version—became a game-changer, saving significant time.

  • Initial foundational tests. The team started by testing various pricing structures, including comparing weekly/monthly/yearly plans against a Basic, Pro, and VIP structure.

  • Trial/hard offer comparison. They tested versions with a 3-day free trial against versions that removed the trial entirely and offered discounted weekly and yearly plans upfront.

  • Winning strategy. The team focused on a successful approach of offering discounted weekly and yearly plans. They then began experimenting with an introductory offer—charging a heavily discounted rate for the first week before returning to normal pricing.

The results

The continuous testing and the successful deployment of the introductory offer strategy delivered significant, measurable revenue growth:

  • Revenue lift. By testing the introductory offer strategy, Flibbo saw a 20% increase in revenue.

  • Accelerated learning. The rapid testing cycle provided the team with immediate, data-backed insights into user behavior and price sensitivity.

  • Time savings. The ability to run constant A/B tests remotely saved the team countless hours that would have gone to app review.

About Superwall

Superwall is the centralized monetization suite that converts data into revenue. It provides product, growth, and engineering teams with a unified platform to deploy paywalls, manage subscriptions, and ensure every experiment is a profitable, data-backed decision.

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