Glossary

Event tracking

Capturing specific user actions, such as clicks or purchases, as discrete, named pieces of data.

Also called: event-based tracking, custom events

Event tracking records specific things users do—a button click, a video play, an item added to a cart—as discrete, named events rather than only counting page or screen views. Each event usually carries a name and a set of parameters, such as add_to_cart with an item_id and value.

Events are typically sent through an SDK, tag, or a site's data layer to an analytics or product analytics platform, where they are attached to a session and a user identifier. Most modern analytics tools, including GA4 and dedicated product analytics platforms, are built around this event-based model rather than the older pageview-and-session-only approach.

Event tracking is the raw material behind funnel analysis and retention analysis: without granular events, neither technique is possible. The main pitfall is a lack of governance—without a documented tracking plan, teams end up with inconsistent event names, duplicate events, and parameters that mean different things in different parts of the product, making the resulting data hard to trust or maintain as the product grows.

Last reviewed September 19, 2026

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Related terms

Data layer A structured object on a page that exposes site and event data for a tag management system to read. Funnel analysis A method for tracking how users move through an ordered sequence of steps toward a goal, and where they drop off. Session A grouped window of a user's activity on a site or app, bounded by an inactivity timeout or similar cutoff rule. Retention analysis The study of how many users keep returning to and engaging with a product after their first use.

Related tools

Adobe Analytics Enterprise digital analytics platform within Adobe Experience Cloud for analyzing customer interactions across channels. Amazon Kinesis AWS's managed service for real-time data streaming, ingesting and processing continuous data at scale without managing servers. Amplitude Cloud-based digital analytics platform for event tracking, behavioral cohorts, session replay, and feature experimentation. Apache Kafka Open-source distributed event streaming platform for high-throughput publish-subscribe messaging and durable event logs. Apache Pulsar Open-source, cloud-native distributed messaging and streaming platform with built-in multi-tenancy and geo-replication. Azure Event Hubs Microsoft's managed big-data streaming service, exposing a Kafka-compatible endpoint for event ingestion on Azure.

Related guides

Behavioral event data, explained How product and marketing teams turn raw clicks and actions into events, and what separates a usable event stream from a noisy one. How to analyze a conversion funnel Building a funnel in SQL, choosing ordered vs unordered steps, and the ways funnels quietly mislead once you trust them too far. How to audit your analytics implementation A checklist for finding where tracking, tag management and dashboards have drifted from what they are supposed to measure. How to choose a mobile app analytics tool "Mobile & app analytics" covers three separate jobs — store visibility, technical observability, and subscription revenue — pick by which one you're missing. How to choose a product analytics tool Product analytics tools split by how events get captured, who reads them, and whether in-app engagement is bundled in — decide those first. How to choose a tag manager Tag managers look interchangeable until you hit server-side tagging, consent governance or a stack with dozens of vendors — that is where they diverge.