Аналітика та відстеження в мобільних додатках

📊 Типи analytics tracking

Custom events, such as button clicks, screen views, and user actions, provide granular data on how users interact with your app. Conversion events track specific goals achieved within the application, like purchases or sign-ups, offering insights into successful user journeys.

User journeys, session replay recordings, heatmaps, touch tracking, and scroll tracking reveal detailed behavioral patterns and interaction preferences. Analyzing these elements allows for a comprehensive understanding of how users navigate your app’s interface.

DAU/MAU (Daily Active Users/Monthly Active Users), retention cohorts, churn analysis, lifetime value, and engagement metrics offer crucial insights into user growth and long-term app usage. Understanding the user lifecycle helps optimize strategies for acquisition, activation, and retention.

Funnel analysis identifies drop-off points within conversion pathways, revealing areas where users are abandoning the process. Analyzing conversion rates and identifying optimization opportunities allows you to streamline the user experience and improve overall performance.

Crash tracking, error logging, and stack traces provide critical data for debugging and improving app stability. Monitoring crash-free users and analyzing stability metrics helps identify and resolve issues that negatively impact user experience.

Load times, API response times, rendering performance, memory usage, and battery impact are key performance indicators (KPIs) to monitor. Performance monitoring tools allow you to proactively address bottlenecks and ensure a smooth and responsive app for your users.

📊 Analytics Platform Usage

Analytics Platform Market Share (%)

Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.