Client-side tagging vs. server-side tagging - by Aman Singh - CollectLo

Client-side tagging vs. server-side tagging

Aman Singh - CollectLo

Aman Singh

Content Writer . Hire Me

1 min read . Jan 25

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What is an HTTP Request?

An HTTP request is a message sent from a client (browser or app) to a server to request information or actions. It uses the Hypertext Transfer Protocol (HTTP) to communicate and can:

  • Fetch resources (e.g., web pages, images, data).
  • Send user interaction details (e.g., form submissions).
 - by Aman Singh - CollectLo

What is Client-Side Tagging?

Client-side tagging is a method where all tags, triggers, and tracking scripts are executed directly on the user's browser or device after a page loads. The browser sends HTTP requests to third-party servers (like Google Analytics or Facebook) to process data.

Key Features

 - by Aman Singh - CollectLo
  • Executed in the Browser: Tags run entirely on the user's device.
  • Direct Communication with Vendors: Data is sent straight to third-party platforms (e.g., Google Analytics, Facebook Pixel).
  • Real-Time Tracking: Events like page loads or button clicks are tracked instantly.
  • Minimal Server Configuration: No heavy backend involvement is needed.

Benefits

<br> - by Aman Singh - CollectLo
  1. Easy Implementation: Simply add a GTM (Google Tag Manager) container script to your website.
  2. Real-Time Data: Events are tracked and sent as they happen.
  3. Wide Compatibility: Compatible with most analytics and marketing tools.
  4. No Additional Hosting Needed: Processing happens in the browser, reducing the load on your hosting server.

Challenges of Client-Side Tagging

 - by Aman Singh - CollectLo
  1. Increased Browser Load: Multiple tags firing simultaneously can slow down the user's browsing experience.
  2. Multiple tags firing simultaneously can slow down the user's browsing experience.
  3. Data Privacy Risks: Sensitive information may be exposed to third-party platforms, raising compliance issues (e.g., GDPR, CCPA).
  4. Sensitive information may be exposed to third-party platforms, raising compliance issues (e.g., GDPR, CCPA).
  5. Ad Blockers: Tags are vulnerable to being blocked by privacy-focused tools and browsers.
  6. Tags are vulnerable to being blocked by privacy-focused tools and browsers.
  7. Limited Data Quality Control: Once data is sent, you have little control over its accuracy or integrity.
  8. Once data is sent, you have little control over its accuracy or integrity.

Effect on Hosting Server

  • No Additional Load: Processing is done by third-party servers rather than your hosting server.

Risk

  • User Experience: Firing too many tags can delay browser responsiveness.

Examples of Client-Side Tagging

  1. Google Analytics: Tracks page views, events, and user actions by sending HTTP requests from the browser to Google Analytics servers.
  2. Tracks page views, events, and user actions by sending HTTP requests from the browser to Google Analytics servers.
  3. Facebook Pixel: Tracks user activities like purchases and sends them to Facebook Ads Manager.
  4. Tracks user activities like purchases and sends them to Facebook Ads Manager.
  5. Google Ads Conversion Tracking: Measures conversions (e.g., signups or purchases) by executing scripts in the browser.
  6. Measures conversions (e.g., signups or purchases) by executing scripts in the browser.

EaseMyTrip Funnel: Comparing Client-Side and Server-Side Tagging

Client-Side Tagging Workflow:

  1. User opens the homepage.
  2. Tags (e.g., GA4, Remarketing, UET) fire in the browser.
  3. Each tag sends individual HTTP requests directly to analytics or ad platforms.

Server-Side Tagging Workflow:

 - by Aman Singh - CollectLo
  1. User opens the homepage.
  2. Minimal tags fire in the browser (e.g., GA4).
  3. Browser sends data to a server container.
  4. The server processes, validates, and routes data to platforms like Google Ads or Microsoft UET. Redundant requests are filtered, improving performance and data accuracy.
  5. Redundant requests are filtered, improving performance and data accuracy.