liveBook · Manning

User engagement

As explained in The Art of AI Product Development

A user engagement metric is a numerical measure of how users interact with a product or its content.

User engagement is a numerical measure of how users interact with a product or its content. In a music service, discovering and saving new music can increase time in the app, support renewals, and reduce churn. section 2.2.1

Engagement metrics help evaluate whether personalization, recommendations, or search results create useful experiences. They are most informative when paired with business outcomes such as conversions, revenue, renewals, or retention. section 2.2.1 section 4.4.2

Common engagement measures include:

  • Click-through rate (CTR), which indicates how often users select recommendations or search results. section 4.4.2 section 7.2.3
  • Conversion rate, which tracks how many recommended items lead to purchases. section 4.4.2
  • Dwell time, interaction counts, bounce rate, and session efficiency, which show how users engage with content and workflows. section 4.4.2 section 7.2.3

Testing recommendation strategies

A product team can compare user-based and item-based collaborative filtering for a user segment, then examine engagement and conversions through an A/B test. section 4.4.2

How The Art of AI Product Development covers it

How deep it goes
Defines the metric and applies it through CTR, conversions, browsing behavior, feedback, testing, and session analysis.
Examples
Uses music discovery, recommended shopping products, search-result clicks, document dwell time, bounce rate, and query sessions.
What you can do after
Evaluate recommendations and search experiences with CTR, conversions, dwell time, bounce rate, interaction counts, and A/B tests.
How it connects
Connects personalization, recommendation systems, search relevance, conversion rate, retention, and churn.

Also explained in

Compare how 5 books explain user engagement →

Related concepts

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.