Top Online Experiment Software for Mobile Apps

Statsig combines feature flags, experimentation, and analytics in one platform. The Developer plan is free and includes gates, configs, experimentation, and analytics, with 2 million metered events each calendar month at no charge and unlimited flag and config checks. Pro costs $150 a month, includes 5 million metered events, and adds advanced experimentation, unlimited analytics retention, and change reviews and approvals.

• The trade-off is the meter.
• Statsig bills metered events such as experiment exposures, logged events, and ingested metrics.
• A team with a chatty app can pass 2 million events fast, and then the prompt to upgrade appears.
• Choose Statsig if you want a real free start and a clear $150 step up.

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Firebase A/B Testing is the natural first test tool for an app that already uses Firebase, because the test, the remote values, and the analytics live in one project. The Firebase pricing page lists A/B Testing as no-cost, and the Spark plan needs no payment information to start. Remote Config, which delivers the variant values to the app, gives 100,000 fetch requests a day at no cost on both Spark and Blaze, and then Blaze charges $0.000006 per request up to 10 million a day.

• The limit to plan around is the Remote Config change.
• Since September 1, 2026, fetch requests above the daily free allowance are billed on Blaze, so an app with millions of daily users can create a Remote
• Choose Firebase if your app is already on Firebase and you want tests without a new vendor.
• Skip it if you need a dedicated statistics engine or feature flag governance beyond what Firebase provides.

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LaunchDarkly treats flags as the delivery method and experiments as the measurement method, which fits mobile apps that release behind flags and then test the new version against the old one. The Developer plan is free, with unlimited seats and flags, 5 service connections, 1,000 client-side monthly active users, 1 project, and 3 environments. Foundation is usage based, at $10 per service connection a month and about $8.33 per 1,000 client-side monthly active users a month when billed yearly.

• The trade-off is that the bill follows your user count, not your team size.
• A consumer app with 100,000 client-side monthly active users and 40 service connections can reach about $1,183 a month on Foundation before any experi
• Choose LaunchDarkly if you need guarded rollouts and approvals alongside tests.
• Skip it if your app has very large monthly active user numbers and a simpler flag tool would do.

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Amplitude Experiment sits inside Amplitude product analytics, so a test result can be read next to the funnel and cohort views that explain why users behaved that way. The Free plan costs $0, includes 2 million events a month, and allows 1 active experiment. Plus starts at $0, keeps the first 2 million events free each month, and scales with event volume up to 70 million events.

• The limit that changes the choice is the single active experiment.
• A team that wants to test onboarding, pricing, and a new home screen at the same time cannot do that on Free or Plus, and must move to Growth, which i
• Choose Amplitude if you already use Amplitude analytics and you test one idea at a time.
• Skip it if you run several experiments in parallel.

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PostHog bundles product analytics, session replay, feature flags, and experiments, and it bills experiments through feature flag requests. The pricing page gives 1 million flag requests free each month, then $0.0001 per request from 1 million to 2 million. Product analytics gives 1 million events free each month, and session replay gives 5,000 recordings free each month, so a small app can run the whole stack at $0.

• The trade-off is the hard stop on the free plan.
• When usage passes the monthly allowance, PostHog stops collecting rather than charging, which protects the budget but leaves a gap in the data during
• Adding a card moves the account to usage billing with the same allowances.
• Choose PostHog if you want one tool for analytics, replay, flags, and tests.

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Optimizely Feature Experimentation is built for teams that test features inside the app code, using SDKs to decide which users see a variation and then measuring the result with Stats Engine. The Optimizely pricing page says every plan is individually packaged and asks buyers to share their goals so the team can build a custom quote. That means there is no published starting price, and the cost depends on monthly active users, the products selected, and the contract scope.

• The trade-off is access.
• A large team gets a mature statistics engine, multi-armed bandits, and audience targeting, but a small team cannot try the platform without going thro
• Choose Optimizely if your program runs many experiments and has a budget for an annual contract.
• Skip it if you need a published price before the first call.

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VWO, now sold with AB Tasty under the Wingify brand, covers A/B testing, multivariate testing, and server-side tests through FullStack, plus heatmaps, session recordings, and surveys through Insights. The Wingify pricing page states that there are no fixed plans and that each proposal is built around the buyer goals, with pricing based on monthly active users. A 30-day free trial is offered with no card.

• The trade-off is that the entry cost is unknown until the proposal arrives.
• Earlier published VWO Testing figures near $314 a month for 10,000 tracked users no longer match the current quote-only page, so do not budget from ol
• Choose VWO if you want testing, behavior analytics, and personalization from one vendor.
• Skip it if you need a fixed monthly price you can approve without a demo.

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Harness Feature Management and Experimentation, known as Harness FME, is the former Split platform, acquired by Harness in 2024 and now sold as a module inside the Harness platform. Split built its name on experimentation, with flags that connect directly to metrics services so a team can see whether a feature change moved a business metric. That makes FME a strong fit for mobile teams that already release through Harness pipelines.

• The trade-off is the buying path.
• Standalone Split pricing no longer exists, and Harness FME pricing is quoted per customer as part of a broader Harness decision, with no published pri
• Choose Harness FME if your team already uses Harness for delivery and wants experimentation tied to releases.
• Skip it if you want a standalone experiment tool with a published price.

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