Web Analytics
The collection, measurement, and analysis of website traffic and visitor behavior data to understand audience composition, content performance, acquisition effectiveness, and conversion patterns across web properties.
Web analytics encompasses the tools and practices for understanding how users find, navigate, and interact with your website. It covers traffic acquisition analysis, audience demographics, content performance, conversion tracking, and user flow visualization across all pages and sessions.
For growth teams, web analytics provides the baseline measurement layer for understanding acquisition funnel performance and content effectiveness. AI enhances web analytics through automated anomaly detection that catches traffic and conversion changes, attribution modeling that distributes credit across marketing touchpoints, and predictive scoring that estimates visitor conversion probability in real time. Growth engineers should ensure web analytics implementation is comprehensive and accurate, with clean tracking across all pages, proper cross-domain and cross-device configuration, and accurate conversion event definitions. The transition from session-based analytics (Universal Analytics) to event-based analytics (GA4) requires rethinking how metrics are defined and calculated. Teams should maintain web analytics alongside product analytics, recognizing that web analytics excels at understanding the acquisition and consideration phases while product analytics provides deeper insight into post-signup engagement and retention.
Related Terms
Event Tracking
The practice of recording specific user interactions within a digital product, such as clicks, form submissions, page views, and feature usage, as structured data events that can be analyzed to understand user behavior.
Event Taxonomy
A structured naming convention and classification system for analytics events that ensures consistency, discoverability, and usability of tracking data across teams, platforms, and analysis tools.
Funnel Analysis
The process of tracking and measuring user progression through a defined sequence of steps toward a conversion goal, identifying where users drop off and quantifying the conversion rate between each stage.
Conversion Rate Analytics
The systematic measurement and analysis of the percentage of users who complete a desired action out of the total who had the opportunity, applied across multiple conversion points throughout the user journey.
Drop-Off Rate
The percentage of users who leave a process or sequence at a specific step without completing the next step, the inverse of step-level conversion rate, used to identify friction points in user flows.
Cohort Analysis
A technique that groups users by a shared characteristic or experience within a defined time period and tracks their behavior over subsequent periods, revealing how user behavior evolves and differs across groups.