Mobile analytics
It can include installs, attribution, sessions, events, funnels, retention, crashes, performance, push engagement, and revenue. Mobile analysis must account for app-store releases, offline behavior, device identifiers, background activity, privacy permissions, and fragmented versions. Teams should combine behavioral, technical, and commercial metrics to understand the full experience.
What is Mobile analytics?
Mobile analytics measures how people acquire, use, and experience mobile applications across devices, operating systems, versions, and networks.
Why it matters
It can include installs, attribution, sessions, events, funnels, retention, crashes, performance, push engagement, and revenue. Mobile analysis must account for app-store releases, offline behavior, device identifiers, background activity, privacy permissions, and fragmented versions. Teams should combine behavioral, technical, and commercial metrics to understand the full experience.
Example
A team compares activation, crash rate, and week-one retention by iOS and Android version after a major release.