A/B testing

What is App Store A/B testing?

A/B testing on the App Store is the practice of comparing two or more versions of a product page to measure which converts better. Apple's native solution is Product Page Optimization (PPO), launched in iOS 15 (2021). PPO runs randomized treatment-vs-control experiments inside App Store Connect, measuring install conversion as the outcome variable.

PPO supports three test types: screenshot variants, app preview video poster frames, and app icon variants. Each test runs against the default product page as control, with up to three treatment variants per test, for a developer-specified duration (commonly 30-90 days).

How does A/B testing differ from Custom Product Pages?

A/B testing (PPO) is randomized: Apple distributes incoming organic traffic across control and treatments and measures which wins. Custom Product Pages (CPP) are deterministic routing: send specific traffic (e.g. an Apple Search Ads campaign) to a specific variant URL. Both can coexist, and many teams run PPO on the default page while routing paid traffic to CPPs.

What about third-party A/B testing?

Pre-launch A/B testing runs outside the App Store using simulated product pages. SplitMetrics, Storemaven, and similar tools serve simulated App Store listings to paid-traffic audiences (typically from Facebook or Google Ads) and measure install intent. This lets teams test variations before committing to a PPO experiment, where wrong-direction tests cost real organic traffic.

The trade-off: third-party simulations measure intent, not real installs. PPO measures real installs but requires organic traffic volume to reach statistical significance. Most mature teams use third-party tests for early-stage exploration and PPO for final confirmation.