Google Play Store Listing Experiments: How to A/B Test Your Listing

Quick answer: Store listing experiments are Google Play Console's free, built-in A/B tests. You create variants of your icon, feature graphic, screenshots or, in localized experiments, your descriptions. Play shows them to a share of listing visitors and reports whether a variant beat your current listing. Test one asset at a time and wait for a clear result before applying a winner.

Play Console offers two experiment types. Which one you pick decides both what you can change and who sees the test.

A few details from Google's help page matter when you plan:

• You can run experiments on your main store listing and on custom store listings.
• Play limits how many experiments run at once: one default graphics experiment, or a small number of localized experiments. Plan a queue rather than testing everything in parallel.
• If the experiments option is unavailable, Google notes that your store listing has to be fully published first.
• If your listing has only one language, both experiment types reach the same visitors.

Experiments measure what happens on your store listing, so they work best once the basics are in place. If you're still filling in fields, start with the Google Play store listing guide.

Setup is quick once your variant assets are ready; most of the work is deciding what to test.

1. In Play Console, open your app and find Store listing experiments in the store presence section of the menu.
2. Create an experiment and give it a name that states the hypothesis, such as "Benefit headline on screenshot 1".
3. Choose the store listing to test: the main listing or one of your custom listings.
4. Pick the experiment type. For a localized experiment, select the languages to include.
5. Choose the target metric from the options Play Console offers. Google's help page describes the current choices; pick the one closest to the outcome you care about.
6. Set the variants and the share of visitors who enter the experiment. Google splits that traffic equally among the variants.
7. Review the advanced settings: the minimum detectable effect (smaller differences count as a draw) and the confidence level (higher means fewer false winners but longer tests). The defaults favor speed with reasonable accuracy.
8. Upload the variant assets. They follow the same specs as your listing, so check them against the Google Play screenshot sizes first.
9. Start the experiment, then leave it alone.

Before you start, Play shows an estimate of how long the test will take and how many visitors it needs. If the estimate is months, reduce the number of variants or test a bolder change.

Start where a visitor's decision is made: the first screenshots and the icon. Each idea below changes one thing, so a result tells you something you can reuse.

Bold differences reach a result faster than subtle ones. A new headline approach or a different visual style is a better first test than a slightly different shade of blue. For what tends to work on Play, see Google Play screenshot best practices.

There's no universal duration. It depends on your traffic, the number of variants, the minimum detectable effect and the confidence level, which is why Play estimates it for you. A few habits keep results trustworthy:

• Run whole weeks. Weekday and weekend visitors often behave differently, so a test that covers both is more representative.
• Don't stop at the first good number. Early results swing a lot. Wait until Play reports a result instead of "more data needed".
• Keep the rest of the listing stable. Avoid changing other assets, starting a big ad campaign or launching a seasonal promotion mid-test.
• Match the test to your traffic. Low-traffic apps should test one variant with a bold change, or accept a larger minimum detectable effect.

Play's results compare each variant with your current listing, show a range for the likely difference and suggest an action. Read them like this:

1. The whole range is above zero: the variant very likely performs better. Applying it is reasonable.
2. The range crosses zero: there's no clear difference. Play treats this as a draw.
3. The whole range is below zero: the variant likely performs worse. Keep your current listing.

A draw isn't a failure. It tells you the asset you changed isn't a strong lever for your audience, so your next test should target something bigger. When several variants beat the current listing, Play lets you choose which one to apply.

After applying a winner, watch your store listing conversion in Play Console for a few weeks. Real-world results can differ from the experiment because of seasonality and changes in where your traffic comes from. Our guide to app store conversion rate explains what to track.

• Changing the icon, screenshots and description in one variant, so you can't tell what worked
• Testing changes too small to detect with your traffic
• Ending a test early because one day looked good
• Running a default graphics experiment when your biggest market uses localized graphics and is excluded
• Not writing down the hypothesis, so a result teaches you nothing for the next test
• Applying a winner once and never testing again

Apple's equivalent is Product Page Optimization. The idea is the same, but the scope differs.

If you ship on both stores, run related tests on each and compare what you learn. The Product Page Optimization guide covers the Apple side.