
1. Flexible variants configuration
Our goal is to provide as flexible variants configuration as possible:- Experiments’ in-app values allow you to set up any appearance of your app’s paywall and even the onboarding steps before the paywall if required.
- Variant weights allow you to decide what share of your users are exposed to each variant. You are not limited to a default evenly split strategy.

2. Target the right user segments
Qonversion A/B testing offers flexible user segmentation:- Test hypotheses for specific countries to find the most effective pricing strategy.
- Target either new users or particular subscription owners to determine which introductory offers and upgrades work best.
- Run A/B testing for a specific share of your active users to be able to run several experiments simultaneously.
- And other options.
3. Analyze experiment results
We believe each experiment should be analyzed in two ways:- With a strict focus on the primary metric you aim to improve. Avoiding data peeking and reducing correlated metrics noise are crucial to making accurate decisions during data collection.
- With convenient access to all the data including all relevant subscription metrics. So you can be 100% sure when you accept or reject the hypothesis.

What’s Next