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Mobile Analytics 101

  1. 1. Mobile Analytics 101 Onur Alp Soner oas@count.ly | @oasoner
  2. 2. Web vs Mobile © 2014 Countly Web Analytics Mobile Analytics Pageview based Event/action/user based Generally applicable analytics structure Unique apps, unique analytics needs JS/Cookie based Device/user identifier based Platform/device dependent Offline usage
  3. 3. What mobile analytics actually covers ➔ App store analytics ➔ Crash/performance analytics ➔ Advertising analytics ➔ In app usage analytics © 2014 Countly
  4. 4. App store analytics ➔ Number of downloads ➔ App reviews & ratings ➔ Comparison with similar apps © 2014 Countly
  5. 5. Crash/performance analytics ➔ Crash types/groups ➔ Load times ➔ API call analysis © 2014 Countly
  6. 6. Advertising analytics ➔ Acquisition analysis ➔ Referrals ➔ Campaign performance © 2014 Countly
  7. 7. In app usage analytics ➔ Core metrics about app users ➔ Retention, loyalty, session frequency/durations ➔ Custom tracking points (custom events) ➔ User flows/funnels © 2014 Countly
  8. 8. Important things to look for ➔ True real time ➔ Platform support ➔ Ease of use ➔ Out of the box mobile-only support ➔ Raw data access/data security © 2014 Countly
  9. 9. In app usage analytics: Core metrics © 2014 Countly ➔ App versions ➔ Carriers ➔ OS ➔ OS Versions ➔ Languages ➔ Sessions ➔ Users ➔ Locations ➔ Devices ➔ Resolutions
  10. 10. Engagement metrics © 2014 Countly ➔ User retention ➔ Loyalty ➔ Session frequency ➔ Session durations Value Time Investment
  11. 11. With a single line of tracking code; ➔ Sessions & users ➔ Time spent ➔ Devices, platforms, locations, carriers, app versions, resolutions ➔ User retention ➔ Session frequency ➔ User loyalty ➔ Session durations © 2014 Countly
  12. 12. Start answering questions like ➔ How fast do my users upgrade to the latest version? ➔ What are the most popular devices? ➔ What are the platform versions of my users? ➔ What is the top resolution? ➔ Which time of day is the perfect time for sending out a push notification? ➔ How frequently is my app used? ➔ How loyal are my users? ➔ Is my app engaging enough? Is it improved in the latest version? ➔ Can I keep users coming back to my app? © 2014 Countly
  13. 13. Custom events Use custom events to track anything you want and attach properties to your custom events. Some example custom events; ➔ In app purchase ➔ Navigation / checkpoints ➔ User interaction with your content © 2014 Countly
  14. 14. Track goal completion and conversion rates © 2014 Countly
  15. 15. ➔ Use your existing custom events to track user paths. ➔ Funnels are retroactive. You don’t need to predefine a funnel. ➔ Filter users who enter your funnel using your event segmentation properties and user properties. Funnels © 2014 Countly
  16. 16. Advanced query tools Create queries with AND, OR and BY filters in order to pinpoint the data you need. Filter by user properties like device, location, session count, first session date etc. ➔ What are the devices of users from US and using the latest version of my app? © 2014 Countly
  17. 17. Other concepts ➔ Raw data access Use the data for predictions, with other BI tools or together with other KPIs within your organization. ➔ Data security Mobile analytics, most of the time, means collecting sensitive data. ➔ Extensibility Adding your own reporting mechanisms, custom dashboards etc. © 2014 Countly
  18. 18. Strengthen your mobile presence now Join 1000s of companies from 110 countries tracking 600 million+ mobile devices using Countly hello@count.ly | @gocountly

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