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.