Create metadata variants, track keyword ranking changes, and find the version that ranks higher. Data-driven optimization without guesswork.
Capabilities
Compare variants with real ranking data, not guesswork.
Create two versions of your title, subtitle, description, and keywords to test against each other.
Track how each variant affects your keyword positions over time with daily ranking snapshots.
Set your duration (7, 14, or 30 days), start with Variant A, and AppDrift automatically switches to Variant B at the midpoint.
See which variant won for each individual tracked keyword, not just an aggregate score.
Clear winner determination with per-keyword breakdowns showing rank changes for both variants.
Keep all past tests for reference and learning. Build institutional knowledge about what works for your app.
How It Works
Define Variant A (current metadata) and Variant B (your new version).
AppDrift tracks keyword rankings during the first period.
Swap metadata and track rankings during the second period.
See which variant produced better keyword rankings.
Why Ranking-Based Testing
Unlike Apple's Product Page Optimization or Google's Store Listing Experiments which measure impressions-to-installs, AppDrift's A/B testing tracks keyword ranking changes. This tells you which metadata version helps you rank higher in search — the foundation of organic growth.
Apple PPO / Google Experiments
AppDrift A/B Testing
FAQ
AppDrift's A/B testing creates two metadata variants (A and B) and runs them sequentially. Variant A is applied first for a set period while keyword rankings are tracked, then Variant B replaces it for the same duration. At the end, you see which variant produced better keyword positions.
Apple's Product Page Optimization and Google's Store Listing Experiments measure impressions-to-installs conversion. AppDrift's A/B testing tracks keyword ranking changes instead, telling you which metadata version helps you rank higher in search — the foundation of organic growth.
You can choose 7, 14, or 30 day test durations. Each variant runs for the chosen period, so a 14-day test takes 28 days total. Longer tests give more reliable data, especially for competitive keywords.
Each A/B test costs 10 tokens. This covers the full test lifecycle including both variant periods and the final comparison report with per-keyword breakdowns.
A/B testing is available on the Pro plan ($39.99/month) which includes 2,000 tokens per month and support for up to 20 apps. The feature is not available on Free or Starter plans.
Create your first A/B test and find the metadata that ranks higher.
Optimizing your app store listing without data is guesswork. You might have a hunch that a shorter title converts better, or that emphasizing a different feature in your description could boost downloads — but without testing, you'll never know for certain. AppDrift's A/B testing feature gives you a structured, data-driven way to compare metadata variants and find the version that actually performs better in search rankings.
The testing system supports every element of your store listing that influences discoverability. You can create variants for titles, subtitles, descriptions, and keyword fields — essentially anything that affects how the app store algorithm indexes and ranks your app. Each test runs two variants sequentially: Variant A is applied first for your chosen duration (7, 14, or 30 days), then Variant B takes its place for the same period. Throughout both phases, AppDrift tracks keyword ranking positions daily, giving you granular data on how each variant performs.
This approach is fundamentally different from Apple's Product Page Optimization (PPO) and Google's Store Listing Experiments. Those native tools measure impressions-to-installs conversion — useful information, but it only tells you which version converts better among people who already found your listing. It says nothing about whether your metadata changes helped more people find you in the first place. AppDrift's ranking-based approach answers the upstream question: which version of your metadata helps you rank higher in search? Since organic search is the primary discovery channel for most apps, this distinction matters enormously.
The results dashboard breaks down performance at the keyword level, not just in aggregate. You'll see which variant won for each individual tracked keyword, along with the specific rank changes observed during each test period. This granularity helps you understand why a variant won — maybe your new title boosted rankings for three high-volume keywords while slightly hurting one low-volume term. With that insight, you can craft an even better variant for your next test cycle.
A/B testing works best as part of a continuous optimization loop. Start by generating strong baseline metadata with the AI metadata generator, then create variants that test specific hypotheses — a different keyword emphasis, a reworded value proposition, or an alternative feature highlight. Run your test, implement the winner, and then generate your next hypothesis. Over time, this iterative process compounds into significantly better search visibility.
For visual assets, the same testing mindset applies. Use the screenshot generator to create multiple screenshot variants and test them using Apple's PPO or Google's experiments for conversion optimization, while simultaneously running metadata A/B tests in AppDrift for ranking optimization. Together, these approaches cover both sides of the growth equation: getting found and getting downloaded. For a comprehensive walkthrough, check out our A/B testing guide and our deep dive into conversion rate optimization for app stores.