Google Analytics 4 User ID Tracking Implementation 94% Backend Match Rate
In this case study, we have shared highlights of our Google Analytics 4 enhanced ecommerce implementation for Circles.Life
Circles.Life is Asia’s first fully digital telco. Providing game-changing digital products and no-contract, data-focused mobile plans, revolutionizing the digital services industry through a customer-centric user journey.
About Google Analytics 4
Google Analytics 4 is the latest version of Google Analytics. It is not mandatory to upgrade to Google Analytics 4, but here are a few reasons why companies should. Considering the following reasons, for the best interest of our partners we suggested the implementation of GA4:
Circles.Life was facing several significant challenges in their digital analytics and e-commerce tracking systems, which were impacting the accuracy, efficiency, and scalability of their data collection and analysis processes. The key issues included:
The existing data layer setup, designed for Universal Analytics, was not fully compatible with GA4 requirements, particularly for e-commerce tracking. This incompatibility hindered the effectiveness of their analytics and required an update to accommodate GA4’s different taxonomy.
The traditional approach of creating tags before triggers in digital analytics implementations was not scalable, leading to inefficiencies in managing marketing and analytics pixels.
Circles.Life was encountering issues with duplicate purchases being recorded in their system. This was primarily due to users revisiting receipt pages, causing transaction details to be re-entered into the dataLayer, thus inflating e-commerce data inaccurately.
There was an absence of an automated system for validating the accuracy and effectiveness of the GA4 implementation.
Additionally, there was no mechanism to integrate different datasets to provide a comprehensive view of analytics data.
“Their technical knowledge and proactiveness in solving problems are impressive.”
DataVinci Analytics Agency team has successfully implemented analytics for the firm’s marketing campaigns, distinguishing between web orders and actual orders. They have an effective workflow, and they impress the client with their expertise and problem-solving skills.
Himanshu Jha, Lead Data Analytics and Data Science, Circles.Life
Ready to become the next success story? Let’s Work Together
package. Please fill in detailed application to be considered serious.