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:


  • Piwik PRO Acquia award

    Piwik PRO recognized as the Emerging Partner of the Year by Acquia

    Organizations in regulated industries face a persistent challenge: they need sophisticated analytics and personalization to stay competitive, but must also meet strict requirements around data protection and user consent. For teams using enterprise digital experience platforms, this often means choosing between powerful marketing tools or compliance-first approaches. We’ve been working to solve this through our…

  • Banking website analytics for financial services: Tracking without compromising customer trust

    You don’t have to choose between insights and trust – modern banking analytics can deliver both when implemented correctly. This article explores best practices and recommended steps for banking website analytics, as well as ways to avoid common pitfalls to ensure compliance without sacrificing the quality of insights.