The end goal of data analytics is to deliver value to users by understanding what they need and creating value for the business in the form of conversions and revenue by meeting their needs. With the rise of modern analytics approaches and tools, businesses are better able to get user insights. Event-based web analytics operates on a data model that uses events known as user actions to track metrics like page views, exits, bounces, and more.
It is different from transitional session-based analytics. This article discusses event-based analytics, how it compares with session-based analytics, and how to use it to complement funnel and segmentation analysis.
What are events and event tracking?
In the context of analytics, events and event tracking refer to the recording and analysis of specific interactions or actions that occur on a website, application, or system.
Events: An event is a specific action or activity a user performs while interacting with a website or application. Events are typically defined by developers or analysts and are triggered whenever the specified action takes place. These actions include but are not limited to the following:
- Button clicks
- Form submission
- Video views
- Downloads
- Link clinks
Event tracking is the process of capturing and recording these specific events that occur on a website or application. When an event occurs, it is logged and sent to an analytics system for analysis. This data collection provides valuable insights into user engagement, behavior patterns, popular content, conversion rates, and other metrics. Consequently, these insights help businesses and developers make informed decisions to improve their products or services.
Event tracking involves using web analytics tools like Usermaven, which represent the user data in intuitive dashboards and reports. Both events and event tracking are powerful tools for data-driven decision-making, helping businesses enhance their online presence and deliver better user experiences.
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What is event-based web analytics?
Event-based web analytics is a methodology that uses events for tracking and analyzing user interactions and actions on a website or web application. Unlike traditional pageview-based analytics, which primarily focuses on tracking the number of times pages are loaded, event-based web analytics centers around specific user actions and activities, providing more detailed insights into user behavior and engagement.
Although the specific data and categories of events collected by event-based web analytics vary depending on the goals and objectives of the website or application, it can collect a wide range of data based on custom-defined events. Common data categories include user interactions, eCommerce actions, user engagement, user behavior flow, ad interactions, and customer events.
Session-based web analytics vs. Event-based web analytics
Both of these web analytics models offer two different approaches to tracking and analyzing user interactions on a website or web application. Session-based analytics focuses on tracking user sessions. A session is a time period starting with the first interaction of a user with your website and ending as a result of inactivity or when a user leaves the website. On the other hand, event-based analytics tracks a user’s actions while interacting with your website.
For session-based analytics tools, session start and session end are important. Some features of these platforms include traffic reporting, conversion tracking, third-party referrals, and keyword referrals.
Session-based web analytics offers a general overview of user behavior across sessions, while event-based web analytics provides more detailed and granular insights into user interactions and actions on a per-event basis. The choice between the two depends on the specific goals, website structure, and level of detail required for analysis. In some cases, combining both methodologies may be used to gain a comprehensive understanding of user behavior and website performance.
How to collect data for event-based analytics
Collecting data for event-based analytics involves setting up and tracking specific user actions or events on a website or application. The two important components in event-based analytics are the events and users. Below we discuss how you can use events to collect user data to understand them.
1. Set up custom events using APIs
For applications handling large volumes of event data, a can provide the infrastructure needed to ingest, transform, and query those events efficiently. Businesses can use these APIs to define and set custom events. With the help of API documentation, developers can set up custom events. It requires including the necessary API calls at the appropriate points in the website’s code to trigger the events when the specified user actions occur.
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Written by
Lauren Brooks
Lifecycle Marketing Strategist
Lauren Brooks is a lifecycle marketing strategist with 4+ years of experience helping SaaS businesses create meaningful customer experiences. She specializes in user engagement, retention, and conversion optimization, helping brands build stronger customer relationships beyond acquisition.
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