Version Analytics : Turn Every Release Into a Success Story

Track installations, compare bug rates, and measure stability across versions to ensure every update is more reliable than the last.

Version Analytics Main Screenshot

How Version Analytics Works

1

Track Installations

Monitor how many users are on each app version and track adoption trends over time.

2

Analyze Issues by Version

See what percentage of installations in a release are affected by crashes, memory leaks, or custom-defined issues.

3

Compare Version Stability

Quickly identify which versions are stable and which ones introduce new problems.

4

Prioritize Fixes

Focus on high-impact issues in the versions your users rely on most.

Example Version Analysis

Version 10.0-4 – Custom IssueCritical

Affecting 9.5% of installations

Version 10.0-1 – Exception LoggingHigh

Impacting 10% of installations

Version 9.9-8 – Memory LeakMedium

Slowing down 6% of installations

Analytics Visualizations

Issue Breakdown
Crashes: 8 | Bugs: 11 | Warnings: 2
Installations by App Version
1.0.0: 3,000 | 1.1.0: 5,000 | 2.0.0: 4,500
Installations Over Time
Sample: Jan–Aug 2025

Bug Categories Tracked Across Versions

Appxiom classifies 32 bug types into 9 categories, making it easier to analyze trends:

Custom Issues
Developer-defined events unique to your app.
Function Issues
Errors in workflows or broken functionality.
Screen Issues
Crashes and glitches tied to specific screens.
Feature Issues
Bugs affecting individual features or modules.
Memory Issues
Memory leaks and high consumption causing slowdowns.
Exception Issues
Runtime exceptions impacting stability.
HTTP Issues
Network request errors, failures, and timeouts.
UI Issues
User interface glitches or inconsistent layouts.
Startup Issues
Failures or delays during app launch.

Frequently Asked Questions

Everything you need to know about Version Analytics and how it can transform your release management

Ready to Transform Your App’s Analytics?

Start monitoring your app with Appxiom Analytics and turn data into better user experiences.

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