Driven by a deep passion for pets, PetSmart is dedicated to fostering stronger, healthier relationships between pets and their parents. As a premier specialty retailer operating under the mantra “Anything for Pets,” PetSmart provides an integrated and complete ecosystem of products and services.
From essential supplies and specialized grooming to life-changing adoption events, professional training, and high-quality veterinary care, PetSmart offers a seamless, full-solution experience for all pet parents.
PetSmart’s Analytics Migration Challenge
As part of the industry-wide transition from Universal Analytics (UA), PetSmart undertook a strategic migration to Google Analytics 4 (GA4). With hundreds of custom event tags embedded across their ecosystem, the transition required careful planning to preserve data integrity and operational efficiency.
The migration coincided with a multi-year replatforming initiative, elevating the importance of maintaining data continuity and accuracy. Given the scale and complexity of the migration, it was important to ensure historical data continuity and establish standardized GA4 properties to support future data-driven decision-making.
Additionally, the advanced requirements of a multi-platform GA4 architecture presented an opportunity to accelerate enhanced measurement capabilities and strengthen long-term data governance across web, iOS, and Android.
Our Solution for a Seamless Google Analytics Migration
InfoTrust executed a comprehensive, multi-phase engagement designed to establish a robust and sustainable GA4 foundation for PetSmart. With the migration to GA4 and using their tag management system, PetSmart and InfoTrust migrated and deployed 250 tags (marketing pixels), bringing visibility to over 350 events seamlessly and saved 3 months of manual migration work time from the team with zero disruption in their data collection. Simultaneously, InfoTrust provided end-to-end guidance on their GA4 property setup, covering architectural design, essential product linking, and strategic guidance for administrative settings and advanced capabilities to ensure the architecture is best suited to PetSmart’s needs.
Following this foundation, we seamlessly integrated and worked closely with their replatforming team through our InfoTrust Insights Solution, which enabled the PetSmart team to leverage the new measurement architecture within days and weeks, not months or years. This collaboration resulted in the creation of robust dataLayer guides for web, iOS, and Android, all underpinned by a single, authoritative data dictionary that ensured consistency across all platforms. Finally, we deployed extensive Quality Assurance (QA) efforts to support ongoing optimizations to mitigate risks and issues, providing confidence in the data and speed to insights.
The Impact of Google Analytics 4 with InfoTrust Insights
Our partnership delivered a clean, fully functional, and expertly configured GA4 properties, ensuring zero disruption to critical business intelligence during the transition and replatforming. The creation of standardized data layer guides and the centralized data dictionary solved their multi-platform consistency challenge, transforming their data collection into a reliable source of truth. Crucially, the engagement went beyond mere technical implementation; it served as a successful knowledge transfer initiative.
By working side-by-side with the internal team, InfoTrust empowered PetSmart to be more self-sufficient from a GA4 perspective, enabling faster and more confident decision making from their data. They now possess the in-house understanding and documentation to maintain, evolve, and effectively leverage their GA4 property, ensuring they are positioned to make accurate, data-informed decisions for years to come.
Frequently Asked Questions
The biggest risk is carrying existing data inconsistencies into the new environment. If event definitions are not standardized before migration begins, fragmented data from web, iOS and Android will persist in GA4, and cross-platform reporting will remain unreliable regardless of the new tool.
How long does it take to build a data dictionary for a multi-platform GA4 migration?
The timeline depends on the number of existing tags and the degree of inconsistency across platforms. In PetSmart’s case, establishing a shared data dictionary before migration began was the step that saved three months on the overall deployment timeline, making upfront investment in standardization a net efficiency gain.
How do you maintain GA4 data quality after migration is complete?
Sustainable data quality after a GA4 migration depends on team ownership of the measurement architecture. The most durable outcome is a team that can maintain and evolve its own GA4 setup without relying on external support for routine changes, which requires both a clear data dictionary and knowledge transfer as part of the engagement.
