Mobile app analytics implementation is vital for any app that needs to be stable, functional, and relevant. Learn how you can see and analyze everything happening in your mobile application with the help of mobile analytics.
Define your mobile app goals
It’s very easy to get lost in loads of data, so you need to keep your focus on a few metrics that really matter.
Do you need to increase your conversion rate, revenue, or engagement? Or maybe you’re just starting and need to get those users coming in? We recommend focusing on 1-3 main goals and choosing your metrics accordingly. We discuss the most popular metrics for app analytics in the article.
Choose a tool kit
There are lots of tools for mobile app analytics, each with its own twist and set of features. You’ll likely need multiple tools in order to cover both business and technical analytics.
Later in this article, you’ll learn about the most popular mobile analytics tools to choose from.
Integrate your tools into your app
After you’ve chosen your objectives and tools, it’s time to integrate and set up your mobile app analytics. For this, you’ll need a mobile developer, an SDK of your chosen tools, and some time.
Most analytics software products are rather easy to integrate and use. A typical process consists of these steps:
- Create an app and get an API key
- Install the SDK
- Initialize the app analytics tool
- Set up the available features As you can see, the process is quite straightforward. Flurry analytics, for example, takes no more than 5 minutes to integrate the out-of-the-box metrics. If you need something more specific and tailored to your unique app, you want to set up custom events.
Set up custom events
If you want to know more about a specific aspect of your app or do A/B testing, you need to set up custom events. This requires additional code, and allows you to track any specific actions users take in your app, for example, in-app purchases, articles read, posted comments, completed levels, etc.
Analyze your data
This is the most important step. Now that you’ve collected your data, you need to interpret it correctly and derive the right conclusions from it. Make hypotheses and experiment until you reach the best solution for your users and for your business.
Top mobile app analytics tools
Firebase
Firebase is a large platform for app building, testing, releasing, and monitoring. It also has multiple analytics tools for mobile applications. Google Analytics for mobile apps and Crashlytics are among the most popular.
Google Analytics provides a wide range of tools and functionality that can show you who uses your app, their demographics, how they discover your app and more. GA is one of the most powerful tools for marketers, as it allows you to split your audience into segments and view how well your marketing campaigns performed.
Crashlytics, on the other hand, is an analytics tool that helps developers detect technical issues. It’s a flagship Firebase service for crash reporting that allows you to see the timeline of all events that were leading up to the crash, so you can quickly find the cause and fix the bug quickly.
Tracking the app’s performance in Crashlytics is a part of Mobindustry’s mobile app maintenance services.
Mixpanel
This is a popular mobile application analytics tool that’s focused on engagement, user behavior, and interactions. Mixpanel has a convenient dashboard with visual data presentation. Its core reports include:
- Insights
- Funnels
- Flows
- Retention
Localytics
Localytics is an extremely popular tool used by large companies like MyFitnessPal, Salesforce, and Microsoft. It’s most famous for its marketing abilities: by deeply analyzing your audience, Localytics can facilitate the most personalized ad and notification campaigns.
Localytics also tracks user behavior and preferences, helps to analyze funnels, and experiments with UX and marketing campaigns until you reach the best results.
Quick summary
Running a mobile app business without analytics is like searching for something in complete darkness. Analytics provides priceless insight into your user behavior, expectations, and preferences. This is better and more accurate than any surveys you can take because it shows what exactly your users do.
However, there’s another side to using analytics: it’s easy to get overwhelmed with data and find it challenging to make decisions. For your analytics to be effective, you need to define goals and decide which metrics matter to you most.
Top comments (0)