Achieving a 99% Data Match: How Our Client Successfully Switched to GA4

  • Vertical

    Retail

  • Technology

    Google Analytics 4, Google Tag Manager

  • Objectives

    Migrate to GA4

  • Results

    Robust and reliable data collection framework in GA4

About the Client

The North Face produces outdoor clothing, footwear, and related equipment. By the late 1990s, the label had expanded beyond outdoor enthusiasts by focusing on street couture, and since the 2000s, it has been regarded as a streetwear style symbol label.

TNF brand logo

Challenges

The client approached us with a request to transition from Universal Analytics (UA) to Google Analytics 4 (GA4). The urgency for this shift was driven by the impending discontinuation of GA UA. The client aimed to align their existing GA UA metrics with the new GA4 platform while adhering to industry best practices. The scope of work included various facets of data tracking:

  • Check mark icon Basic tracking
  • Check mark icon Event tracking
  • Check mark icon Enhanced eCommerce
  • Check mark icon Custom variables
  • Check mark icon User properties
  • Check mark icon Single-page application (SPA) tracking
  • Check mark icon Cross-platform tracking (web & app)
  • Check mark icon Comparative Looker Studio dashboards for GA UA and GA4 metrics

Solution

We proposed a transition strategy utilizing Google Tag Manager, specifically through data layer-based custom tracking, which is generally considered a reliable method for data capture and tag management. A key element of this migration involved realigning the client’s existing tracking logic to fit the GA4 model, including adaptations in event naming and eCommerce tracking parameters. GA4 event-based tracking system offers greater flexibility and is designed to meet future analytics needs. Moreover, it supports cross-platform tracking, fulfilling one of the client’s specific requirements. Overall, the solution aimed to ensure both reliability and future-readiness in the client’s data tracking capabilities.

Results

Following the implementation, the client now benefits from a robust and reliable data collection framework in GA4. One significant improvement is the client’s ability to track both website and app traffic in a unified interface, made possible by the GA4 event-based model. Regarding data integrity, a comparison between GA UA and GA4 shows a close alignment, with a 99% match based on August 2023 data.

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98%

data match
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99%

data match
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99%

data match (GA360 vs. GA4)
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95%

data match
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Case img

98%

data match
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99%

data reliability
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37%

growth in conversion rate
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3X

growth in customers
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