A data layer is a data structure on your site or app that holds the information you want to process and sends it to other applications, like a tag management system.

The information you can pass through a data layer includes user actions on your site, app, or portal, such as page views, scrolls, or clicks, and additional details like product IDs and prices or cart value.

A tag manager can read data from your data layer and use it for tags, triggers, and variables, just like it would use data from the page’s source code. Your analytics data gets enriched with a record of all user behaviors, increasing opportunities for website or web-based application tracking.

With a data layer, you can:

  • Enhance your tracking capabilities.
  • Act on the data stored in a data layer to improve user experience.
  • Collect data in post-login areas.
  • Establish communication between the website or app with other tools like tag manager or analytics.
  • Benefit from a simpler debugging process.
  • Easily test changes or new features.
  • Simplify the execution of custom event tracking.
  • Facilitate personalization campaigns.

Learn more about data layers in analytics:


  • Privacy by design in practice: How “just enough” data beats “just in case” collection

    While collecting more data “just in case” feels safer, according to Matt Gershoff, it’s also one of the biggest sources of unnecessary compliance risk, analytical noise, and wasted organizational resources in the analytics industry today. His approach of “just enough” data collection is more intentional, more aligned with privacy regulation, and often more analytically effective.

  • 4 ways to make your analytics HIPAA-compliant: Implementation guide

    Healthcare organizations have four main approaches to achieving HIPAA-compliant analytics. Each has different trade-offs in cost, technical complexity, and analytics capabilities. This guide compares all four implementation methods – from using Google Analytics with workarounds to deploying fully HIPAA-compliant analytics platforms – so you can choose the right approach for your organization’s needs and resources.