Mobile Analytics 101
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Transcript of Mobile Analytics 101
![Page 2: Mobile Analytics 101](https://reader034.fdocuments.in/reader034/viewer/2022051609/5470729aaf7959866f8b4594/html5/thumbnails/2.jpg)
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
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➔ App store analytics➔ Crash/performance analytics➔ Advertising analytics➔ In app usage analytics
What mobile analytics actually covers
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➔ Number of downloads➔ App reviews & ratings➔ Comparison with similar apps
App store analytics
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➔ Crash types/groups➔ Load times➔ API call analysis
Crash/performance analytics
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➔ Acquisition analysis➔ Referrals➔ Campaign performance
Advertising analytics
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➔ Core metrics about app users➔ Retention, loyalty, session frequency/durations➔ Custom tracking points (custom events)➔ User flows/funnels
In app usage analytics
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➔ True real time➔ Platform support➔ Ease of use➔ Out of the box mobile-only support➔ Raw data access/data security
Important things to look for
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In app usage analytics: Core metrics
© 2014 Countly
➔ App versions➔ Carriers➔ OS➔ OS Versions➔ Languages
➔ Sessions➔ Users➔ Locations➔ Devices➔ Resolutions
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Engagement metrics
© 2014 Countly
➔ User retention➔ Loyalty➔ Session frequency➔ Session durations
Value
Time Investment
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➔ Sessions & users➔ Time spent➔ Devices, platforms,
locations, carriers, app versions, resolutions
With a single line of tracking code;
➔ User retention➔ Session frequency➔ User loyalty➔ Session durations
© 2014 Countly
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➔ 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?
Start answering questions like
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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
Custom events
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Track goal completion and conversion rates
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➔ 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
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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?
Advanced query tools
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Other concepts
➔ Raw data accessUse the data for predictions, with other BI tools or together with other KPIs within your organization.
➔ Data securityMobile analytics, most of the time, means collecting sensitive data.
➔ ExtensibilityAdding your own reporting mechanisms, custom dashboards etc.
© 2014 Countly
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