What are the best mobile A/B testing strategies for improving conversion rates?

1 Define your goals and hypotheses

Before you start testing, you need to have a clear idea of what you want to achieve and why. What is the main problem or opportunity you want to address? What is the metric you want to improve? How do you expect your changes to affect that metric? These questions will help you formulate your goals and hypotheses, which will guide your testing process and help you measure your results. For example, your goal could be to increase the number of sign-ups for your app, and your hypothesis could be that adding a social proof element to your landing page will boost your conversion rate.

3 Segment and target your audience

Not all mobile users are the same, and different segments may respond differently to your changes. Therefore, you should segment and target your audience based on criteria such as demographics, behavior, location, device, or source. This will help you tailor your tests to the preferences and needs of your users, and increase the relevance and accuracy of your results. For example, you could segment your audience by age group, and test different versions of your app for each group.

4 Run your tests and analyze your results

Once you have defined your goals, hypotheses, test type, variables, and audience, you can run your tests using a mobile A/B testing tool, such as Firebase, Optimizely, or Apptimize. These tools will help you create and launch your tests, track and measure your metrics, and compare and evaluate your results. You should run your tests for a sufficient amount of time and with a large enough sample size to ensure statistical significance and validity. You should also analyze your results in terms of the impact, confidence, and cost of your changes.

5 Implement and iterate your changes

After you have analyzed your results, you can implement the winning version of your app or website, and monitor its performance over time. You should also iterate your changes by running follow-up tests to validate and refine your improvements. Mobile A/B testing is not a one-time event, but a continuous process of optimization and experimentation. By following these strategies, you can make data-driven decisions and enhance your mobile user experience and conversion rates.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?