The 9 best mobile app A/B testing tools
Contents
A/B tests are a great way to confirm that your product changes have the intended effects. When it comes to mobile apps, there are many different A/B testing tools to choose from, but each one is built with a specific target audience in mind.
In this guide, we compare the 9 best mobile app A/B testing tools – from all-in-one platforms to specialized solutions – so you can find the right fit for your team.
What features do you need in a mobile app A/B testing tool?
A good mobile A/B testing tool lets you experiment with changes to your app and measure their impact on real users. Most solid tools include:
- A/B and multivariate testing for comparing different variations
- Statistical analysis to determine when results are significant
- Mobile SDKs for iOS, Android, React Native, and Flutter
- Integration with analytics to measure experiment impact on key metrics
- Feature flags for safely rolling out changes to specific user segments
More advanced tools go further with:
- Multi-armed bandit experiments that automatically allocate traffic to the winning variation
- Holdout testing to measure the long-term cumulative impact of your experiments
- Visual editors for creating variations without code changes
- Server-side testing for experiments that need to run on your backend
- Bayesian vs. Frequentist statistical approaches for analyzing experiment results
- Namespacing for organizing experiments and avoiding conflicts
- Product analytics integration so you can analyze experiment results alongside broader user behavior
Here's how the most popular mobile app A/B testing tools compare:
1. PostHog
- Best for: Engineering and product teams
What is PostHog?
PostHog (that's us!) is an all-in-one developer platform built to help engineers create better products. It includes experimentation and a whole bunch more, such as product analytics, session replays, feature flags, surveys, error tracking, LLM analytics, and an AI assistant.
Because everything lives in a single platform, you can launch an experiment, deploy it behind a feature flag, see how it impacts funnels or retention, and watch session replays of how users in each variant actually behave – without stitching together separate tools or juggling data exports.
It's designed for product-minded engineers, growth teams, and product managers who need to move fast and iterate based on reliable, actionable insights.
- Free tier: ✔
- Open source: ✔
- Transparent pricing: ✔
- Includes product analytics: ✔
- Get started without talking to sales: ✔
Which platforms does PostHog support?
| Platform | Supported |
|---|---|
| iOS | ✔ |
| Android | ✔ |
| React Native | ✔ |
| Flutter | ✔ |
| Web | ✔ |
| Server | ✔ |
How much does PostHog cost?
PostHog has transparent pricing based on the usage. It's free to get started and completely free for the first 1 million A/B testing requests. After this free monthly allowance, you'll pay $0.0001/request, and requests cost progressively less the more you use. You can also set billing limits to ensure you don't get surprise bills.
Further reading: New to A/B testing? Read a software engineer's guide to A/B testing and our guide to common A/B testing mistakes.
Bottom line
For teams looking for all the tools they need to experiment and improve their products, PostHog makes for a great choice. This is especially true for startups and scaleups thanks to its generous free tier.
2. VWO
- Best for: Non-technical teams
What is VWO?
VWO is a testing platform that primarily targets large enterprises. Its experimentation platform includes support for A/B and multivariate tests and a visual editor. It's useful for non-technical users who need an easy-to-use interface to test in-app messaging and UI copy.
It also offers surveys and behavioral insights (heatmaps, session recordings), plus limited product analytics like funnels. However, its analytics capabilities are basic compared to dedicated tools – most teams will still want a separate product analytics platform for deeper analysis.
- Free tier: ✖ Free trial only
- Open source: ✖
- Transparent pricing: ✖
- Includes product analytics: Limited
- Get started without talking to sales: ✔
Which platforms does VWO support?
| Platform | Supported |
|---|---|
| iOS | ✔ |
| Android | ✔ |
| React Native | ✔ |
| Flutter | ✔ |
| Web | ✔ |
| Server | ✔ |
How much does VWO cost?
VWO uses custom, usage-based pricing based on Monthly Tracked Users (MTUs). Web testing, mobile app testing, server-side testing (feature experimentation), behavior analytics, and personalization are all separate products with their own pricing. VWO offers a 30-day free trial but no permanent free tier. You'll need to contact their sales team for a quote.
Bottom line
VWO is great for marketing and product teams who want an easy-to-use visual editor for running experiments without coding. However, its pricing is opaque, and its analytics features are limited compared to dedicated product analytics tools.
3. Optimizely
- Best for: Marketing teams
What is Optimizely?
Optimizely is an all-in-one system for marketing that includes A/B testing and more – like content management, campaign planning, asset management, and checkout customizations.
It's built for marketers in large enterprises looking to optimize their content, apps, and e-commerce experiences.
- Free tier: ✖
- Open source: ✖
- Transparent pricing: ✖
- Includes product analytics: ✖
- Get started without talking to sales: ✖
Which platforms does Optimizely support?
| Platform | Supported |
|---|---|
| iOS | ✔ |
| Android | ✔ |
| React Native | ✔ |
| Flutter | ✔ |
| Web | ✔ |
| Server | ✔ |
How much does Optimizely cost?
Optimizely's pricing is sales-driven and not publicly listed. According to Splitbase, plans start at a minimum of $36,000 per year, with enterprise plans potentially exceeding $200,000+ depending on traffic and features. Only annual contracts are available.
Bottom line
Optimizely is a powerful enterprise experimentation platform, but it comes with enterprise pricing to match. It's best suited for large marketing teams with big budgets who need content management alongside A/B testing. If you're primarily looking for mobile app experimentation, there are more affordable and focused options on this list.
4. Firebase
- Best for: Apps already using Firebase's other features
What is Firebase A/B testing?
Firebase A/B testing is built specifically for mobile apps and is completely free. It includes an easy to use interface for running experiments on Firebase's other app features, such as cloud messaging and in-app messaging.
It's important to note that using A/B testing on Firebase requires installing Google Analytics in your app. It's also not possible to run A/B tests on your web app or server.
- Free tier: ✔
- Open source: ✖
- Transparent pricing: ✔
- Includes product analytics: ✖
- Get started without talking to sales: ✔
Which platforms does Firebase support?
| Platform | Supported |
|---|---|
| iOS | ✔ |
| Android | ✔ |
| React Native | ✖ (not officially supported; community libraries exist) |
| Flutter | ✔ |
| Web | ✖ |
| Server | ✖ |
How much does Firebase A/B testing cost?
A/B testing with Firebase is completely free.
Bottom line
Firebase A/B testing is the best free option if you're already in the Firebase ecosystem. It's limited to mobile and tightly coupled to Firebase's other services, so it's not ideal if you need cross-platform experimentation.
5. Kameleoon
- Best for: E-commerce and healthcare companies
What is Kameleoon?
Kameleoon is an experimentation and personalization platform with support for both web and mobile apps. It includes an easy to use interface for running experiments on push notifications and in-app messaging.
In addition to testing, it offers a real-time personalization engine that's particularly useful for e-commerce apps. It's also HIPAA-compliant, which makes Kameleoon a viable option for healthcare apps.
- Free tier: ✖ Free trial only
- Open source: ✖
- Transparent pricing: Partial
- Includes product analytics: ✖
- Get started without talking to sales: ✖
Which platforms does Kameleoon support?
| Platform | Supported |
|---|---|
| iOS | ✔ |
| Android | ✔ |
| React Native | ✔ |
| Flutter | ✔ |
| Web | ✔ |
| Server | ✔ |
How much does Kameleoon cost?
Kameleoon's Starter plan begins at $495 per month, which includes web experimentation features. Enterprise plans with mobile app testing, feature management, and advanced capabilities like SSO and CUPED are custom-priced. Kameleoon offers a free trial.
Bottom line
Kameleoon is a solid pick for e-commerce and healthcare teams that need HIPAA compliance and real-time personalization alongside experimentation. However, mobile app testing is locked behind custom enterprise pricing, so it's not the most accessible option for smaller teams.
6. Statsig
- Best for: Product teams in high-growth startups
What is Statsig?
Statsig is a platform built for feature management and experimentation. It offers feature flags, A/B testing, and product analytics.
It offers advanced experimentation techniques, such as multi-armed bandit experiments and holdout testing, making it well suited for growth teams in startups.
- Free tier: ✔
- Open source: ✖
- Transparent pricing: ✔
- Includes product analytics: ✔
- Get started without talking to sales: ✔
Which platforms does Statsig support?
| Platform | Supported |
|---|---|
| iOS | ✔ |
| Android | ✔ |
| React Native | ✔ |
| Flutter | ✔ |
| Web | ✔ |
| Server | ✔ |
How much does Statsig cost?
Statsig's Developer tier is free with 2 million events per month. The Pro tier costs $150 per month with 5 million events included, and additional events cost $0.05 per 1,000. Enterprise plans offer volume discounts and custom pricing.
Bottom line
Statsig is a great choice for growth-focused engineering teams who want advanced experimentation with transparent, usage-based pricing. Its unlimited free feature flags are a standout.
7. LaunchDarkly
- Best for: Engineering and product teams
What is LaunchDarkly?
LaunchDarkly is built for enterprises wanting to follow software development best practices. This means A/B testing changes, managing features, de-risking releases, and coordinating deploys.
The people who find LaunchDarkly most useful are engineering managers, site reliability engineers, and product managers.
- Free tier: ✔
- Open source: ✖
- Transparent pricing: ✔
- Includes product analytics: ✔
- Get started without talking to sales: ✔
Which platforms does LaunchDarkly support?
| Platform | Supported |
|---|---|
| iOS | ✔ |
| Android | ✔ |
| React Native | ✔ |
| Flutter | ✔ |
| Web | ✔ |
| Server | ✔ |
How much does LaunchDarkly cost?
LaunchDarkly offers a free Developer tier for small projects, which includes A/B tests and experiments. The Foundation plan starts at $12 per service connection and $10 per 1k client-side MAU per month, which includes feature flags, experimentation, and limited client-side MAU. Enterprise and Guardian plans have custom pricing.
Bottom line
LaunchDarkly is the go-to for engineering teams who need enterprise-grade feature flag management and want to add experimentation on top. It's feature-flag-first, not experiment-first.
8. AB Tasty
- Best for: Marketing and product teams who want experimentation with built-in personalization
What is AB Tasty?
AB Tasty is a digital experience optimization platform used by thousands of brands. It combines A/B testing, multivariate testing, feature flagging, and personalization into a single platform. Its server-side experimentation product (Flagship) supports mobile app testing through dedicated SDKs, while its client-side tools cover web experimentation with a visual, no-code editor.
- Free tier: ✖
- Open source: ✖
- Transparent pricing: ✖
- Includes product analytics: ✖
- Get started without talking to sales: ✖
Which platforms does AB Tasty support?
| Platform | Supported |
|---|---|
| iOS | ✔ |
| Android | ✔ |
| React Native | ✔ |
| Flutter | ✔ |
| Web | ✔ |
| Server | ✔ |
How much does AB Tasty cost?
AB Tasty uses custom pricing, you'll need to contact their sales team for a quote. There's no free tier, but a free trial is available.
Bottom line
AB Tasty is a strong choice for teams that want experimentation and personalization in one platform, especially if you have marketers who need to run web experiments independently. Mobile app testing is handled through their Flagship SDKs, which support all major platforms.
9. Apptimize
- Best for: Product teams in large enterprises
What is Apptimize?
Apptimize focuses on A/B testing for mobile apps and is now part of Airship's customer experience platform. It supports cross-platform testing and feature management with SDKs for all major mobile platforms, plus server-side support.
- Free tier: ✖
- Open source: ✖
- Transparent pricing: ✖
- Includes product analytics: ✖
- Get started without talking to sales: ✖
Which platforms does Apptimize support?
| Platform | Supported |
|---|---|
| iOS | ✔ |
| Android | ✔ |
| React Native | ✔ |
| Flutter | ✔ |
| Web | ✔ (JavaScript) |
| Server | ✔ (Java, Node.js, Python) |
How much does Apptimize cost?
Apptimize don't share their pricing publicly. You need to ask sales for a custom quote.
Bottom line
Apptimize is an option for enterprise teams already using Airship for customer engagement. For most teams, other tools on this list offer more value and transparency.
Which mobile app A/B testing tool should you choose?
- Want an all-in-one platform that integrates A/B testing with product analytics, session replays, feature flags, error tracking and more, without stitching together multiple tools? Go with PostHog.
- Non-technical team that needs an easy-to-use interface for running mobile experiments without heavy developer involvement? Choose VWO.
- Enterprise marketing team with a large budget that needs content management alongside experimentation? Consider Optimizely.
- Already using Firebase for backend services and want free, mobile-only A/B testing? Stick with Firebase.
- E-commerce or healthcare company that needs HIPAA compliance and AI-powered personalization? Kameleoon is built for you.
- High-growth engineering team that wants advanced experimentation with multi-armed bandits and holdout testing? Choose Statsig.
- Engineering team that needs enterprise-grade feature flag management with experiments on top? LaunchDarkly is the standard.
- Marketing and product team that wants experimentation with built-in personalization? Try AB Tasty.
- Enterprise team already using Airship for customer engagement? Apptimize integrates with your stack.
Is PostHog right for you?
Here's the (short) sales pitch.
We're biased, obviously, but we think you'll love PostHog if:
- You value transparency (we're open source and open core)
- You want tools to ship, track, and analyze new features – like A/B testing, feature flags, and session replays
- You want try before you buy (we're self-serve with a generous free tier)
Check out our product pages and read our docs to learn more.
FAQ
What is mobile app A/B testing?
Mobile app A/B testing is the process of comparing two or more variations of an app experience or feature to determine which one performs better against a defined goal. You split your users into groups, show each group a different variation, and measure which one drives better (statistically significant) results – like more signups, higher retention, or increased revenue.
Unlike web A/B testing where you can deploy changes instantly, mobile experiments often need to work with app store release cycles. Tools like PostHog and Statsig handle this through feature flags, which let you change what users see without shipping a new app version.
What's the difference between client-side and server-side A/B testing?
Both approaches make requests to a server to determine which variation a user sees — the difference is where that request happens.
Client-side testing makes the request from the app or browser. It's easier to set up, but can cause "flicker" as the UI updates after the response comes back. Tools like VWO offer visual editors for this approach on web.
Server-side testing makes the request from your backend (e.g. a Django or Node service) before sending anything to the client, which eliminates flicker. It's better for testing algorithms, pricing logic, API responses, and anything involving backend changes. Tools like PostHog, Statsig, and LaunchDarkly support this approach.
Most mobile teams need server-side testing because mobile apps can't be updated instantly like websites — you need feature flags to control which variation users see without waiting for an app store review. You can also use techniques like bootstrapping and local evaluation to reduce latency and avoid flicker on the client side.
How do feature flags relate to A/B testing?
Feature flags and A/B tests are closely related. A feature flag controls whether a user sees a specific feature or variation. An A/B test uses feature flags to randomly assign users to different groups and then measures which group performs better.
In practice, most modern A/B testing tools (like PostHog, Statsig, and LaunchDarkly) build their experimentation features on top of feature flags. This means you can start with a simple feature flag rollout and then upgrade it to a full experiment when you want to measure impact.
How long should I run a mobile A/B test?
Long enough to reach statistical significance – typically 1-4 weeks depending on your traffic volume and the size of the effect you're trying to detect. Running a test too short risks false positives (seeing a difference that doesn't exist). Running it too long wastes time and delays shipping improvements.
Most A/B testing tools (including PostHog and Statsig) can calculate the recommended sample size and duration before you start your experiment.
What are multi-armed bandit experiments?
A multi-armed bandit is an experiment that automatically shifts traffic toward the winning variation as results come in, rather than splitting traffic equally for the full duration. This means you lose less revenue or engagement to the underperforming variation while still measuring statistical significance.
Statsig and Kameleoon offer multi-armed bandit experiments. They're particularly useful for time-sensitive tests (like promotional campaigns) where you don't want to wait weeks for results before acting.
Can I A/B test push notifications?
Yes. Firebase has built-in support for testing push notification content, timing, and targeting through Cloud Messaging experiments.
For more custom approaches, you can use a general-purpose A/B testing tool like PostHog or Statsig to control which notification variant a user receives through feature flags, then measure the downstream impact on engagement and retention.
How do iOS privacy restrictions affect mobile A/B testing?
Apple's App Tracking Transparency (ATT) framework primarily impacts marketing attribution – tracking which ad drove an install. A/B testing within your own app is largely unaffected because it uses first-party data (you're testing variations within your own app, not tracking users across other apps).
However, if your A/B test relies on identifying users across devices or linking to external data, ATT restrictions may apply. Stick to first-party identifiers (like your own user IDs) and you'll be fine for in-app experiments.
What's the best free mobile A/B testing tool?
Statsig offers 2 million free events per month and free feature flags. Firebase A/B testing is completely free with no usage limits, but it's limited to mobile (iOS, Android, Flutter) and requires Google Analytics. PostHog offers 1 million A/B testing requests free per month with full cross-platform support. LaunchDarkly has a free Developer tier for small projects.
The best choice depends on your needs: Firebase for free and simple, PostHog or Statsig for free with more advanced features and broader platform support.
You can also check out our roundup of the best free and open-source A/B testing tools.
What are the best AB Tasty alternatives for experimentation?
If you're evaluating AB Tasty alternatives, the best option depends on what your team needs.
- PostHog is a strong alternative if you want experimentation, product analytics, session replays, and feature flags in a single platform with transparent pricing and a generous free tier.
- Optimizely is a good fit for enterprises that need advanced personalization and full-stack testing.
- VWO is another option for teams focused on web and mobile experimentation with behavior analytics.
- Statsig is worth considering if statistical rigor and warehouse-native architecture are priorities. For simpler mobile-only needs.
- Firebase A/B Testing is free and integrates with the Google ecosystem.
How is PostHog different from other mobile A/B testing tools?
PostHog is more than a mobile A/B testing tool. It gives developers full context by combining all the tools needed to build a successful product in one platform – with a single SDK for mobile.
- All-in-one toolkit: Product analytics, web analytics, session replay, feature flags, experiments, surveys, error tracking, logs, workflows, and more.
- Built for mobile: Native iOS and Android SDKs with offline event queuing, gesture tracking, and mobile session replay
- Developer-first: Transparent APIs, SQL query builder, open source, and a public roadmap
- Transparent pricing: Generous free tiers and usage-based billing
- Trusted by teams: Used by 20,000+ companies including Y Combinator startups, scale-ups, and enterprises
Also check out our guide to the best mobile app analytics tools if you're evaluating your full analytics stack.
PostHog is an all-in-one developer platform for building successful products. We provide product analytics, web analytics, session replay, error tracking, feature flags, experiments, surveys, LLM analytics, data warehouse, CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.