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Retention Metrics for Telegram Mini Apps

Retention metrics help you understand how well your Telegram Mini App keeps users engaged and coming back. Here’s a quick overview:

  • Key Metrics to Track:

    • Day 1, 7, and 30 Retention: Percentage of users returning after 1, 7, and 30 days.

    • DAU/MAU Ratio: Measures how often monthly users interact daily.

    • Churn Rate: Tracks the percentage of users who stop using your app.

  • Why They Matter:

    • Spot where users lose interest.

    • Prioritize improvements and features.

    • Boost long-term engagement and revenue.

  • How Telegram Mini Apps Are Unique:

    • Easy login via Telegram accounts.

    • Built-in messaging integration.

    • Discovery through Telegram channels, bots, and links.

  • Improvement Tips:

Improve App Retention and Stickiness: Key Metrics for Success

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Main Retention Metrics

Here are the key metrics you should monitor to understand user engagement and how often they return.

Day 1, 7, and 30 Retention

These metrics show the percentage of users who come back after 1, 7, and 30 days. They help you assess short-term interest, mid-term loyalty, and longer-term commitment.

Daily and Monthly Active Users (DAU and MAU)

  • DAU: The number of unique users active each day.

  • MAU: The number of unique users active over a 30-day period.

  • Stickiness: Calculated as DAU divided by MAU, this ratio reveals how often monthly users interact daily.

User Sessions and Churn Rate

Pay attention to the average session length, how many sessions each user has, and the time between sessions. The churn rate - the percentage of users who stop using your app within a given timeframe - can highlight areas where engagement is falling short.

Make sure your analytics tools are set up to track these metrics accurately for actionable insights.

Tracking Methods

Understanding Day 1, Day 7, and Day 30 retention requires setting up proper analytics and using cohort analysis to interpret the data effectively.

Analytics Setup

Start by tracking key events like ‘session_start’, ‘app_open’, and important in-app actions. Make sure each event is tagged with a user ID and timestamp for accurate measurement. Define specific retention windows (Day 1, 7, and 30) to calculate how many users return during these periods.

User Group Analysis

Use cohort analysis based on install dates or key user actions. This helps you compare retention patterns across different groups. Spot cohorts with higher churn rates and examine their first sessions to pinpoint where users drop off. Once you identify these triggers, address them through targeted feature updates or re-engagement campaigns.

To go deeper, connect these retention insights with Telegram’s user data API, allowing you to create more detailed user segments for analysis and action.

Data Analysis

Now that your tracking setup is in place, let’s dive into analyzing the data.

Understanding Retention Patterns

Look at retention trends to identify when users lose interest and why. Focus on key timeframes like Day 1, Day 7, and Day 30 retention rates, as well as the DAU/MAU ratio:

  • Day 1 (First 24 hours): Low retention here likely points to onboarding issues.

  • Day 7 (First week): A significant drop suggests limited early engagement.

  • Day 30 (First month): Declines at this stage highlight long-term retention problems.

  • DAU/MAU ratio: A low ratio indicates users aren’t returning frequently, signaling poor stickiness.

Breaking Down User Segments

Segmenting users by behavior and demographics can reveal key differences in retention.

Behavioral Segments

  • Frequency of feature usage

  • Average time spent per session

  • Completion rates for core actions

  • Patterns in navigation

Demographic Segments

  • Geographic location

  • Preferred languages

  • Device types

  • Acquisition sources, such as Telegram channels

Comparing Segments

Analyze retention rates across these segments to uncover patterns.

  • High-performing segments: Identify common traits, map out successful user journeys, and track which features they adopt.

  • Underperforming segments: Spot where users drop off and implement targeted strategies to re-engage them.

Retention Improvement Tips

Turn retention insights into action with these practical strategies.

User Engagement Tools

Keep users coming back with targeted notifications and updates. Here are a few ways to re-engage your audience:

  • Send notifications based on user behavior, like feature announcements or limited-time offers.

  • Roll out new features on a consistent schedule to keep users interested.

  • Collect in-app feedback to understand user needs and prioritize updates effectively.

Data-Driven Updates

Use analytics to refine your app. Focus on features that align with user behavior and remove those that don’t add value.

For example, Mini App Treasury saw a 310% increase in users within just seven days by improving core features based on usage data.

FindMini.app Market Research

FindMini.app

Leverage FindMini.app to analyze top-performing apps and their retention strategies. This tool helps you:

  • Identify category leaders and study their notification patterns and feature rollouts.

  • Monitor ‘Top Growing’ trends to stay ahead of the curve.

  • Benchmark your app’s growth metrics (1-day, 7-day, and 30-day retention) against competitors.

Summary

Track Key Metrics: Focus on retention rates at Day 1, Day 7, and Day 30. Analyze cohort retention data to identify the reasons behind user churn. Leverage FindMini.app’s analytics tools to compare your app’s performance with leading competitors.

Make Decisions Based on Data: Define clear KPIs to help prioritize features, improve the user interface, and implement targeted engagement strategies effectively.

Improve Engagement: Use various strategies like referral programs and introducing new mechanics to keep users engaged. Regularly update features, send personalized notifications based on user behavior, and fine-tune app performance.

Leverage Market Insights: Explore FindMini.app’s database of over 3,900 apps to study retention strategies used by the most popular, fastest-growing, and highest-earning Mini Apps.

Implement these strategies to retain users and support sustainable growth.

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