Mobile Analytics 101

Mobile Analytics 101 
Onur Alp Soner 
oas@count.ly | @oasoner
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
What mobile analytics actually covers 
➔ App store analytics 
➔ Crash/performance analytics 
➔ Advertising analytics 
➔ In app usage analytics 
© 2014 Countly
App store analytics 
➔ Number of downloads 
➔ App reviews & ratings 
➔ Comparison with similar apps 
© 2014 Countly
Crash/performance analytics 
➔ Crash types/groups 
➔ Load times 
➔ API call analysis 
© 2014 Countly
Advertising analytics 
➔ Acquisition analysis 
➔ Referrals 
➔ Campaign performance 
© 2014 Countly
In app usage analytics 
➔ Core metrics about app users 
➔ Retention, loyalty, session frequency/durations 
➔ Custom tracking points (custom events) 
➔ User flows/funnels 
© 2014 Countly
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
In app usage analytics: Core metrics 
© 2014 Countly 
➔ App versions 
➔ Carriers 
➔ OS 
➔ OS Versions 
➔ Languages 
➔ Sessions 
➔ Users 
➔ Locations 
➔ Devices 
➔ Resolutions
Engagement metrics 
© 2014 Countly 
➔ User retention 
➔ Loyalty 
➔ Session frequency 
➔ Session durations 
Value 
Time 
Investment
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
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
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
Track goal completion and conversion rates 
© 2014 Countly
➔ 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
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
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
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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[DSC Europe 23][AI:CSI] Aleksa Stojanovic - Applying AI for Threat Detection ...
6498-Butun_Beyinli_Cocuq-Daniel_J.Siegel-Tina_Payne_Bryson-2011-259s.pdf by 10urkyr34
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6498-Butun_Beyinli_Cocuq-Daniel_J.Siegel-Tina_Payne_Bryson-2011-259s.pdf
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Mobile Analytics 101

  • 1. Mobile Analytics 101 Onur Alp Soner oas@count.ly | @oasoner
  • 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. What mobile analytics actually covers ➔ App store analytics ➔ Crash/performance analytics ➔ Advertising analytics ➔ In app usage analytics © 2014 Countly
  • 4. App store analytics ➔ Number of downloads ➔ App reviews & ratings ➔ Comparison with similar apps © 2014 Countly
  • 5. Crash/performance analytics ➔ Crash types/groups ➔ Load times ➔ API call analysis © 2014 Countly
  • 6. Advertising analytics ➔ Acquisition analysis ➔ Referrals ➔ Campaign performance © 2014 Countly
  • 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. 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. In app usage analytics: Core metrics © 2014 Countly ➔ App versions ➔ Carriers ➔ OS ➔ OS Versions ➔ Languages ➔ Sessions ➔ Users ➔ Locations ➔ Devices ➔ Resolutions
  • 10. Engagement metrics © 2014 Countly ➔ User retention ➔ Loyalty ➔ Session frequency ➔ Session durations Value Time Investment
  • 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. 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. 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. Track goal completion and conversion rates © 2014 Countly
  • 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. 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. 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. Strengthen your mobile presence now Join 1000s of companies from 110 countries tracking 600 million+ mobile devices using Countly hello@count.ly | @gocountly