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What is Server-Side Tagging?

General Introduction to Tagging

The primary goal of any website or application is to deliver valuable content to its users, whether it is an engaging blog post, a seamless shopping experience, or entertaining video content. However, beyond delivering content, website and application owners are highly interested in understanding user behavior. They want to determine which content resonates most strongly with their audience and, crucially, how to attract more users who actively engage with that content.

To achieve this, websites and applications collect data about their usage. This data covers details about the content presented to users and, more importantly, how those users interact with that content. This process of attaching secondary information to user interactions is commonly referred to as tagging.

What is Tagging

In essence, tagging is the process of linking specific user actions on a website or application with tracking and data collection for those actions. For example, when a user clicks the "add to cart" button, it is not just a click — the action is tagged with additional code that sends important behavioral information to specific tools where it can be analyzed and used for various purposes.

The Different Tool Vendors and Their Applications

In practice, almost every website or application will contain multiple tags from different tool vendors. Each of these vendors offers specialized solutions designed to solve specific problems for website operators. These solutions are extremely diverse, covering:

  • Pure statistical analysis: Tools such as Google Analytics or Piwik Pro that provide comprehensive information about website traffic, user demographics, and overall engagement patterns.
  • A/B testing: Platforms that allow operators to test different versions of web pages or features to determine which performs best in terms of user engagement
  • and conversion rates.
  • Evaluating advertising efforts: Tools that track the effectiveness of marketing campaigns, providing data on ad impressions, clicks,
  • conversions, and return on ad spend (ROAS).
  • Ad personalization: Sophisticated systems that use collected user data to deliver highly relevant and personalized ads, increasing the likelihood of user interest and conversion.