mobile analytics 101

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Mobile Analytics 101 Onur Alp Soner [email protected] | @oasoner

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Mobile Analytics 101 @Mobil Istanbul by Count.ly

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Page 1: Mobile Analytics 101

Mobile Analytics 101Onur Alp Soner

[email protected] | @oasoner

Page 2: Mobile Analytics 101

Web vs Mobile

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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

Page 3: Mobile Analytics 101

➔ App store analytics➔ Crash/performance analytics➔ Advertising analytics➔ In app usage analytics

What mobile analytics actually covers

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Page 4: Mobile Analytics 101

➔ Number of downloads➔ App reviews & ratings➔ Comparison with similar apps

App store analytics

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Page 5: Mobile Analytics 101

➔ Crash types/groups➔ Load times➔ API call analysis

Crash/performance analytics

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Page 6: Mobile Analytics 101

➔ Acquisition analysis➔ Referrals➔ Campaign performance

Advertising analytics

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Page 7: Mobile Analytics 101

➔ 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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Page 9: Mobile Analytics 101

In app usage analytics: Core metrics

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➔ App versions➔ Carriers➔ OS➔ OS Versions➔ Languages

➔ Sessions➔ Users➔ Locations➔ Devices➔ Resolutions

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Engagement metrics

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➔ 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

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Page 12: Mobile Analytics 101

➔ 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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Page 13: Mobile Analytics 101

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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Page 16: Mobile Analytics 101

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.

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