Recommendation clicks
Measuring if users actually click "suggested" content or ignore it.
Who is this for?
Data scientists optimizing recommendation algorithms and content discovery.
What problem does it solve?
Measure recommendation effectiveness to improve content discovery and engagement.
Ask Questions, Get Answers Instantly
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Key Insights & Dashboards
Ask these questions in natural language and get instant, AI-powered insights from your data warehouse.
Question
Overall CTR?
Insight
8.4% CTR on recommendations - 'Continue Watching' has 24% vs 6% for 'Trending'.
Question
Position impact?
Insight
Row position #2 has highest CTR at 12.3%; position #5+ drops to 3%.
Question
Engagement lift?
Insight
Users who click recommendations watch 34% more content per session.
Expected ROI
Organizations using this use case typically see measurable improvements in these areas.
Improve recommendation CTR by 40%
Increase content consumption by 25%
Optimize content placement ROI
What You'll Need
To use this analysis, ensure your warehouse contains the following data. Mitzu will automatically detect and map these fields.
- Recommendation display events
- Click events
- Content engagement data
- Recommendation algorithm data
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