![]() ![]() The opposite is also true: If most of your users are still on iOS 8, then it probably makes sense to continue to support for older iOS versions. OS Version: If you can measure that 98% of your users are on iOS 9, and you want to adopt newer iOS features, or simply make your life easier and drop support for iOS 8, then you can feel confident in your decision. Basic Dataįirst off, there are some valuable, high-level pieces of data every app should collect, such as OS version, device information and language: There are two main types of data you should collect: basic usage data and custom events. If you want to get the benefits of analytics, remember to set time aside on your schedule to complete the second two steps: analyzing the data, and using that data, like the above examples demonstrated. Just collecting the data without doing anything with it is a waste of time! Note: It’s important to remember that collecting data by integrating the analytics API is only the first step of the process. It’s hard to think of a reason why you wouldn’t use analytics. It doesn’t take much time, and offers huge benefits. Generally, all that’s needed to implement analytics in your app is a few lines of code, like so: Amplitude.instance().trackingSessionEvents = trueĪmplitude.instance().initializeApiKey(API_KEY)Īmplitude.instance().logEvent(EVENT_NAME, withEventProperties: PROPERTIES) There are many platforms that make it easy to collect and analyze your data I’ve recommended a few at the end of this article. I could bombard you with examples, but a super-simple answer to “Why mobile analytics?” is: “Why not?”Īdding mobile analytics to your app is incredibly easy to do. In general, analytics can help you make the right decision, as opposed to what merely “feels right”. ![]() Instead of spending time and resources developing the social features, I figured it was more important to introduce the social feature to users first, and focus on developing the feature later. I realized I was working on a feature that people weren’t really using. A static page that displayed an explanation of how the app worked.A feed view that displayed a social feed, but didn’t explain the app.We were hoping to improve signup conversion after users had downloaded the app. Analytics Example 1: VenmoĪt Venmo, we used mobile analytics with the primary goal of growing our user base. Let me illustrate the usefulness of analytics with a few examples from my own work. They can also tell you which features drive conversions, and can even tell you if people even use your app - something straight download stats can’t tell you. Specifically, analytics can help you discover which parts of your app people use, and more importantly, which parts they don’t. A scientific approach to planning your app’s future will helps you focus your limited development resources on the conversion strategies and features that resonate most with your users. Not using analytics in your app? You’re really putting yourself at a disadvantage.Īnalytics can help you make data-driven decisions based on numbers - instead of making qualitative judgments based on speculation and best guesses. ![]() Let’s get analyzing! Why Mobile Analytics? Once you’re convinced of the benefits of mobile analytics, I’ll help you get started by sharing my three favorite mobile analytics platforms (and one honorable mention) and show you the pros and cons of each. In this article, I’ll cover why you should add mobile analytics into to your app, and share some real-world, surprising insights I’ve gained from using analytics over the years. Using that data to make business decisions about your app and its future development.Analyzing the data to find out how users work with your app.Essentially, mobile analytics is a three-step process: ![]()
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