How do you experiment with mobile app features?

1 Mobile analytics basics

Mobile analytics is the process of collecting, analyzing, and reporting data about how users interact with your app. Mobile analytics can help you understand who your users are, what they do, how they feel, and how they respond to your app's features and design. Mobile analytics can also help you identify problems, opportunities, and trends in your app's performance and user feedback. Mobile analytics can be divided into four main categories: acquisition, engagement, retention, and monetization.

2 Mobile app experiments

Mobile app experiments are a way of testing different versions of your app's features, design, or content on a subset of your users. Mobile app experiments can help you compare the effects of your changes on user behavior, satisfaction, and retention. Mobile app experiments can also help you validate your assumptions, hypotheses, and goals for your app's development. Mobile app experiments can be conducted using various methods, such as A/B testing, multivariate testing, or feature flags.

3 A/B testing

A/B testing is a method of comparing two versions of your app's features, design, or content on a random sample of your users. A/B testing can help you measure the impact of your changes on a specific metric, such as conversions, sessions, ratings, or revenue. A/B testing can also help you determine which version of your app's features, design, or content is more effective, appealing, or profitable. A/B testing can be implemented using mobile analytics tools, such as Firebase, Mixpanel, or Optimizely.

4 Multivariate testing

Multivariate testing is a method of comparing multiple versions of your app's features, design, or content on a random sample of your users. Multivariate testing can help you measure the impact of your changes on multiple metrics, such as user satisfaction, engagement, retention, or loyalty. Multivariate testing can also help you discover the optimal combination of your app's features, design, or content for your users. Multivariate testing can be implemented using mobile analytics tools, such as Google Analytics, Adobe Analytics, or Leanplum.

5 Feature flags

Feature flags are a method of releasing or hiding your app's features, design, or content to a specific segment of your users. Feature flags can help you test your changes on a smaller or targeted group of users, such as beta testers, early adopters, or loyal customers. Feature flags can also help you roll out or roll back your changes gradually or dynamically, depending on user feedback, app performance, or business goals. Feature flags can be implemented using mobile analytics tools, such as LaunchDarkly, Split, or Rollout.

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?