Mobile Apps
Switch between Mobile App modules
App Analytics & Improvements
Overview
App Analytics & Improvements
Use analytics to decide what the app should become next.
A mobile app does not become successful at launch. HNX plans analytics as the post-launch growth system: event tracking, onboarding funnels, core action funnels, retention, crashes, performance, feedback, experiments, and version roadmap decisions.
App Growth Dashboard
Post-launch intelligence
Measure, diagnose, improve, and release again.
Analytics, crashes, feedback, and experiments guide every app version after launch.
Events
Funnels
Retention
Roadmap
42k
Events
68%
Activation
96%
Crash-free
Improvement signals
Outcome: every release learns from real app behavior
Event Tracking
EventsTrack meaningful app actions such as signup, search, booking, order, payment, support, notification, and profile updates.
Funnel Visibility
FunnelsSee where users drop from install to onboarding, first action, payment, repeat use, or support.
Retention Metrics
RetentionCohorts, repeat actions, inactivity, churn, and lifecycle segments show whether users keep coming back.
Improvement Roadmap
RoadmapAnalytics, crash data, and feedback guide version 1.1, 1.2, and future releases.
Track Execution Detail
DepthCapture events, errors, performance, and feedback. Define events before launch so version 1.0 creates usable data.
Analyze Business Control
ControlFind drop-offs, friction, crashes, and missed opportunities. Track funnels for onboarding and the app's main business action.
HNX Build Lens
Analytics should be tied to business decisions.
The goal is not to collect endless dashboards. The goal is to know what to improve after launch and how those improvements affect customers and revenue.
Checkpoint 1
Events and funnels
Checkpoint 2
Retention and cohorts
Checkpoint 3
Crash/performance signals
Checkpoint 4
Feedback themes
Core events
40+
Meaningful app actions can be tracked.
Funnels
3+
Onboarding, core action, and payment/support flows.
Retention
Cohorts
Repeat behavior is reviewed over time.
Roadmap
Evidence-led
Updates are prioritized from real signals.
Analytics should be tied to business decisions.
The goal is not to collect endless dashboards. The goal is to know what to improve after launch and how those improvements affect customers and revenue.
Define events before launch so version 1.0 creates usable data.
Track funnels for onboarding and the app's main business action.
Combine analytics with crash reports and user feedback.
Use every release to test whether a specific metric improves.
Analytics operating loop
HNX MapEvents and funnels
Retention and cohorts
Crash/performance signals
Feedback themes
Version roadmap decisions