Client-side analytics

Client-side analytics refers to a traditional way of tracking and collecting user interaction data directly from the user’s browser. This method is primarily executed through JavaScript code that triggers events based on user actions such as page views, clicks, and scrolls. The collected data is then sent to an analytics platform for processing and reporting. 

The characteristics of client-side analytics include:

  • Ease of implementation: Setting up client-side tracking is generally straightforward – it often involves adding a snippet of code to the website.
  • Cookies: Client-side analytics often utilizes cookies to track users over time, allowing for a more detailed understanding of user behavior and preferences. 
  • Privacy compliance: As data gathered through client-side analytics often comprises personal data, its collection must comply with privacy regulations such as GDPR, including obtaining user consent.
  • Data reliability issues: Data collection accuracy can be compromised due to factors like ad blockers or browser settings that limit tracking capabilities.
  • Site performance: Excessive client-side tracking can slow down website performance, potentially affecting user experience.

Client-side analytics differs from server-side analytics, which involves tracking and collecting website data on a dedicated server of a website or app. 

A hybrid tracking method known as server-side tracking with a first-party collector combines the benefits of server-side and client-side analytics. In this approach, cookies are set on the client side, and the tracking requests come directly to a first-party domain instead of a third-party analytics platform.

Learn more:


  • 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.