The Loyalty tool provides insights into how often users return to your platform after their initial visit or interaction. It’s a critical measure of user satisfaction, product value, and overall user experience. By understanding user loyalty, businesses can identify areas of improvement, tailor marketing strategies, and foster long-term relationships with their audience. The Loyalty tool offers a clear view of user engagement patterns, helping businesses retain valuable customers and reduce churn.

Key Features of Loyalty

Time-Based Analysis: Track user return rates over daily, weekly, monthly, or custom time frames.
Segmentation: Filter loyalty data based on user demographics, source, device, and other criteria for deeper insights.
Cohort Analysis: Group users based on specific events or actions and analyze their return patterns.
Engagement Metrics: Monitor the depth of user engagement during return visits, such as pages viewed, time spent, and actions taken.
Visualization: Represent loyalty data in graphical formats, making it easy to understand and interpret.


Accessing the Tool: Navigate to the ‘Analytics’ section and select ‘Loyalty’.
Setting Parameters: Define the specific time frames and segments you want to analyze.
Viewing Loyalty Data: The tool will display user return rates, engagement metrics, and other relevant data.
Interpreting Results: Analyze the data to understand user behavior, identify trends, and gauge the effectiveness of your retention strategies.


Enhanced User Relationships: Foster long-term relationships by understanding and catering to user needs and preferences.
Reduced Churn: Identify potential reasons for user drop-offs and implement strategies to retain valuable customers.
Informed Marketing Strategies: Tailor marketing campaigns based on loyalty insights to re-engage and nurture existing users.
Increased Revenue: Loyal users often have a higher lifetime value, leading to increased revenue and profitability.


  • Regularly review loyalty data to stay updated on changing user behaviors and preferences.
  • Combine loyalty insights with feedback from users to enhance the overall user experience.
  • Implement targeted re-engagement campaigns for users showing declining loyalty patterns to bring them back to the platform.