A/B testing

A/B testing (split testing) compares two or more versions of something by showing each to a random share of visitors and measuring which performs better. In app store optimization it’s used for icons, screenshots, feature graphics, videos and descriptions. On Google Play, A/B testing is built into Play Console as store listing experiments.

Opinions about what looks better are unreliable. A/B testing replaces guesses with evidence from real Google Play visitors, and a single winning screenshot or icon can lift conversion for every visitor you get from then on.

1. Pick one element and form a hypothesis about why a variant should win.
2. Create up to three variants in a store listing experiment.
3. Send a share of traffic to the experiment and leave the listing unchanged while it runs.
4. Wait for a conclusive result (at least a week), then apply the winner.

Play Console reports installs and retained installers per variant, with a confidence interval, and tells you when a result is conclusive.

Variant A’s first screenshot shows the app’s home screen; variant B shows the finished result with the caption “See your budget in 10 seconds”. If B converts better, every future visitor sees the stronger message.

• Test big ideas first, small tweaks later.
• Change one element per variant.
• Check retention too — not just installs.