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User engagement

User engagement is a measure of the extent, frequency, or intensity of users' interactions with a product, service, system, or content.

How 5 Manning books explain it

The Art of AI Product Development

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

How it is used
Guides prioritization, recommendation optimization, and search evaluation by linking interaction patterns to product and business outcomes.
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.

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Automating API Delivery

An engagement metric measures the extent to which potential API consumers interact with API documentation and developer portal tools.

How it is used
Measures developer interaction with API documentation and developer-portal tools as an API product action metric.
How deep it goes
Defines engagement as a metric category and situates it among six API product categories, without listing engagement measures or implementation steps.
Examples
Points to Google Analytics, Mixpanel, Amplitude, and Readme as developer-portal analytics examples, though they are discussed for discovery metrics.
What you can do after
Evaluate developer-portal experience through continuous feedback from web analytics tools.

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Natural Language Processing in Action, Second Edition

An engagement metric measures the frequency, duration, or intensity of user interaction with a product or service.

How it is used
Measures chatbot usage as part of evaluating user experience and overall performance.
How deep it goes
Defines frequency, duration, intensity, and activity measures, but does not develop formulas or statistical evaluation methods.
Examples
Uses chatbot sessions, questions, lesson visits, lesson completions, user groups, and quizzes as concrete measurement artifacts.
What you can do after
Evaluate chatbot usage patterns while distinguishing continued interaction from successful task completion.

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Effective Data Analysis

Website engagement is the extent and quality of users’ interactions with a website, such as viewing pages, spending time in sessions, or clicking interface elements.

How it is used
Frames website interaction as a SMART metric for organizational goals and stakeholder accountability.
How deep it goes
Develops definitions, measurement choices, baselines, trends, relationships, counter metrics, and goals without prescribing one universal definition.
Examples
Uses page views, session duration, clicks, weekly active users, bounce rate, purchases, sales, and dashboard visualizations as examples.
What you can do after
Apply it via Python, visualizations, and interactive dashboards while evaluating trends, relationships, and unintended effects.

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Writing for Developers: Blogs that get read

Engagement is the degree of audience interaction with published content, such as reading, responding to, or sharing it.

How it is used
Measures how audiences respond to published content and how promotion expands reach.
How deep it goes
Defines engagement types and measurement cautions, but stops short of prescribing a quantitative scoring formula.
Examples
Uses likes, shares, replies, comments, reshares, cross-posts, and alternate social posts as concrete measurement examples.
What you can do after
Diagnose which promotion angles attract interaction and distinguish broad platform activity from clicks into the article.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.