Compare Analytics

Server-side Conversion Tracking / Conversion API

Compare all software platforms supporting this capability.

5 tools supported

Updated:

AnyTrack

Supported

AnyTrack is a comprehensive analytics tool designed to optimize e-commerce performance by capturing and analyzing every transaction, ensuring data compliance, and synchronizing conversion data with ad platforms.

The server-side setup utilizes server-side tracking to ensure highly accurate conversion data capture, significantly reducing data loss from browser-level privacy measures.

The platform’s conversion tracking operates primarily server-to-server. By processing events away from the user’s browser, it effectively bypasses common client-side issues like aggressive ad-blockers and browser privacy protections (e.g., Apple's ITP). This server-side methodology ensures that the conversion data sent to marketing platforms is consistently accurate and significantly more complete than traditional frontend pixel tracking. For marketers who rely on clean, reliable data to train their ad network's machine learning algorithms, this server-side approach is a vital competitive advantage for maximizing ad performance.

Triple Whale

Supported

Triple Whale is an advanced analytics tool designed to empower e-commerce businesses with precise insights into customer behavior and marketing performance.

The server-side setup utilizes a robust Server-to-Server Tracking API, allowing merchants to bypass client-side ad blockers and ensure accurate data collection.

To combat the significant data loss caused by iOS updates (ATT), browser privacy features (ITP), and client-side ad blockers, the platform heavily utilizes server-side tracking. By capturing event data directly from the Shopify server and the platform's proprietary backend API, it ensures that crucial conversion events (like a completed purchase) are reliably recorded even if the user's browser blocks the frontend tracking pixel. This creates a highly resilient data pipeline that provides a much more accurate representation of total conversions compared to traditional, purely pixel-based analytics tools.

Northbeam

Supported

Northbeam is a powerful analytics tool tailored for e-commerce businesses, providing deep insights into performance and precise attribution across multiple marketing channels.

Its server-side tracking architecture ensures high-fidelity data capture by bypassing client-side browser restrictions and ad-blockers.

To solve the problem of signal loss due to increasing browser privacy restrictions and ad-blocking software, the platform utilizes server-side data collection. By capturing conversion events directly at the server level, it significantly improves the reliability of the tracking pipeline. This creates a much cleaner, more resilient data set compared to relying solely on frontend browser pixels, which are increasingly compromised. This methodology provides a much more accurate "source of truth" for conversion data, which in turn powers more effective machine learning algorithms within the advertising networks themselves.

Hyros

Supported

Hyros is a cutting-edge analytics tool designed for businesses seeking precise tracking of customer journeys and effective revenue attribution to optimize marketing strategies.

Server-side conversion tracking is used to ensure maximum accuracy in attribution, effectively bypassing common tracking errors and data loss from browser-level restrictions.

To address the significant data loss common in modern browser environments, the platform employs a server-side conversion tracking technology. By capturing conversion events directly on the backend, it avoids many of the technical pitfalls of standard frontend tracking, such as ad-blocker intervention, poor cookie persistence, or browser privacy updates. This ensures that the attribution model is fed with the most accurate, complete data possible. This is particularly valuable for businesses running complex, high-touch sales funnels where losing track of a single interaction could result in misattributing thousands of dollars in revenue.