Mobile Game A/B Testing
Every big change ships as a test first, so decisions rest on player data, not opinions.
A/B Testing for Mobile Games
An A/B test shows two or more versions of something to different groups of players and compares what happens. In a mobile game, it is the safest way to change prices, difficulty, rewards or the first minutes of play without guessing. Our A/B testing for mobile games covers the whole cycle, from hypothesis to decision.
A/B Testable Game Elements
- Onboarding steps and the first minutes of play
- Difficulty curves, rewards and economy values
- Offers, prices and ad frequency
- Store page elements, through the stores' own experiment tools
A/B Test Design and Execution
Every test starts with a written hypothesis and one success metric agreed in advance. Where the game supports it, variants live in remote config, so a test is a settings change rather than a new store release. We split players fairly, check each variant on devices, let the test run long enough and avoid calling a winner on early numbers. If a test causes a problem for players, we stop it early and record why.
Better Game Decisions
Teams often disagree on a change, and each side has a good argument. A clean test lets players settle it. Writing down every result, including the tests that did not win, builds a shared test log the team can search before the next decision, so the same questions do not get argued twice. Over time, the log becomes a practical guide to what works for your players.
A/B Testing Benefits
One Question per Test
Each test checks a single change, so the result is easy to read.
Variants Without New Builds
Remote config lets variants switch on and off without waiting for store review.
Searchable Record of Results
Winning and losing tests both go into a shared log for future decisions.
A/B Testing for Live Games
- Live games with a disputed change — teams who disagree and want players to decide.
- Teams planning risky changes — economy, pricing or difficulty updates that could go either way.
- Studios that test now and then — teams without a shared way of running and reading tests.
Bring us the decision you are stuck on and we will help you turn it into a test.
Mobile Game A/B Testing FAQ
How long should an A/B test run in a mobile game?
Long enough to reach a reliable sample and cover normal weekly patterns, which often means at least one to two weeks. Retention-based tests need longer, because the metric itself takes days to mature.
What is remote config and why does it matter for A/B tests?
Remote config lets a game read values such as prices, rewards or difficulty from a server instead of the build. That means variants can be switched on and off without a new store release.
Can you A/B test store pages as well as gameplay?
Yes. Store listings are tested with the stores' own experiment tools, and we combine those tests with our ASO work.
How many players do you need for an A/B test?
It depends on the size of the difference you want to detect and how often the measured event happens. We estimate the sample before the test starts and tell you plainly if a test would be too small to give a clear answer.
A/B Testing Deliverables and Process
Deliverables
- Test hypothesis and success metric
- Remote config setup for variants
- Player split and sample plan
- Device checks for each variant
- Test readout with a clear decision
- Running test log
- 01
Hypothesis and Success Metric
We state what we expect to change, for whom, and which metric will tell us.
- 02
Variant Setup in Remote Config
Where possible we set up variants through remote config, so tests run without a new store release.
- 03
Test Run and Monitoring
We split players fairly, let the test run long enough and avoid calling it on early results.
- 04
Readout and Test Log
We share a short readout with a clear call and add it to a log the whole team can search.
Related Measure Services
All 4 in Measure →Game Analytics
Event tracking and dashboards that show how players really play, from the first session on.
Retention & Cohorts
Day-1 to day-30 retention, tracked cohort by cohort and tied to the changes you ship.
Ad Revenue Tuning
Ad placement, frequency and formats tuned for revenue without wearing players out.