Analytics

We highly recommend implementing Analytics in your App, in order to ensure that you always have a grasp of how your App is working, and how users are interacting with it. More specific guidelines can be found here.

Overwolf already provides developers with essential analytics through the console (add link to console topic), including:

• User Engagement Metrics – DAU, MAU, session duration.
• Monetization Analytics – Revenue per user, in-app purchases, and ad performance.
• Error & Performance Tracking – Crash and reports

(If there are additional key analytics, please add them here.)

However, we strongly recommend adding more in-depth analytics to your app. Analytics provide valuable insights into user behavior, helping you optimize features and make data-driven decisions.

Why Use Analytics in Your Product?
Key benefits include:

• Improving User Experience – Identify pain points and streamline interactions.
• Measuring Feature Success – Track adoption and engagement.
• Optimizing Monetization – Analyze user spending patterns.
• Detecting Issues Early – Spot crashes, bugs, and friction points.
• Increasing Retention – Understand why users leave and how to keep them engaged.
• Other Highly Recommended Analytics & Best Practices
• Conversion & Retention Metrics – Signup rates, churn rate, funnel tracking.
• User Feedback & Behavior – Heatmaps, survey results, A/B testing data.

How to Decide When to Add Analytics

• Align with Business Goals – Focus on data that informs key decisions.
• Prioritize Actionable Insights – Avoid vanity metrics; track what drives impact.
• Consider Privacy & Compliance – Ensure adherence to data protection regulations.
• Balance Performance – Avoid excessive tracking that may slow performance.
• Iterate & Evolve – Start with core metrics and expand based on insights*.*