Store Listing Experiments (Google Play) are Google Play's built-in A/B testing tool for comparing listing variants — icon, screenshots, text, and more — against the current default to find what converts best.
Run from the Play Console, store listing experiments split your incoming traffic between your current listing and one or more variants, then report which converts best with statistical confidence. You can test graphic assets (icon, feature graphic, screenshots, video) and, depending on the experiment type, text elements like the short and long description. Because Google Play indexes the description for keywords, text experiments can affect both conversion and ranking, so they're read with a little more nuance than Apple's purely-visual tests.
Experiments turn listing decisions into evidence. Rather than redesigning on instinct, you ship a hypothesis as a variant, let real Play Store visitors vote with installs, and promote the winner. They're the Google Play counterpart to Apple's Product Page Optimization, and the same discipline applies: test the highest-leverage asset first, run to significance, and keep iterating.
Example
A team tests three feature-graphic variants; the one leading with a single benefit headline wins, lifting install conversion, so they roll it out as the default. Run each test to statistical significance before promoting a winner, then iterate on the next-biggest asset.