Wilson Art: An end to end Commerce Analytics Implementation using BigQuery and GA4 Analytics
See How PUMA Solved It — Download the Case Study
.png)
About
Wilsons Art Engineering
The Challenge
Wilsonart aimed to build a unified, scalable analytics foundation for its digital commerce ecosystem. Its existing analytics and tracking environment created several challenges:
- Fragmented tracking and consent management created privacy and governance risks.
- Inconsistent ecommerce tracking limited visibility across the customer journey.
- Limited granularity in customer, product and transaction analytics restricted deeper insights.
- Incorrect event sequencing and duplicate purchase tracking affected data accuracy.
- Scattered GA4 and GTM configurations lacked standardized naming and governance.
- The absence of a centralized analytics repository limited deeper analysis and reporting.
The Solution
Nvizion Solutions was tasked with setting up the end to end commerce analytics across the entire Digital Commerce Ecosystem of Wilson Art. They wanted to have a centralized view to track the granular depth of customer interactions with the intent of reducing drop offs and identifying their optimal journeys.
Key Deliverables
- Implemented standardized GA4 ecommerce tracking to capture key customer, product, cart and transaction interactions across Wilsonart's digital commerce journey
- Developed and Standardized the data layer required to consistently pass customer, product, cart and transaction information into the analytics ecosystem.
- Structured and standardized GTM configurations, tags and event naming conventions to create a more manageable and governed tracking environment
- Implemented and validated key analytics events and their sequencing to improve the consistency and accuracy of customer journey data
- Addressed purchase event handling to reduce duplicate transaction reporting and improve the reliability of ecommerce revenue and transaction data.
- Integrated Cookiebot into the analytics and tag management framework to support consent aware tracking and more centralized privacy governance.
- Connected GA4 with Google BigQuery establishing a centralized analytics repository for deeper analysis, segmentation, reporting and downstream business intelligence.
- Created a more consistent analytics framework across GA4, GTM, data layer and consent management, providing Wilsonart with a scalable foundation for future analytics initiatives.
Key Business Outcomes
- Stronger privacy and governance through centralized tag and consent management.
- End-to-end customer journey visibility through consistent ecommerce tracking.
- Richer customer, product and transaction data enabling deeper segmentation and actionable insights.
- Improved tracking accuracy through structured event sequencing and purchase safeguards.
- Simplified analytics management through standardized GA4 and GTM configurations.
- Scalable reporting and analysis through centralized data in Google BigQuery.
- Connected commerce intelligence by enabling commerce analytics to be combined with broader business
NVIZION’s Role
Nvizion Solutions served as Wilsonart’s analytics implementation partner, building a scalable and privacy-first foundation for its digital commerce ecosystem. The engagement covered GA4 enhanced ecommerce, structured data-layer implementation, Google Tag Manager governance, event and purchase tracking, consent management and GA4–BigQuery integration. Nvizion standardized Wilsonart’s tracking architecture and created a centralized analytics foundation that improved data accuracy, customer journey visibility and the ability to use commerce data for deeper analysis and business intelligence.
Sales@nviz.com
Looking Ahead
With the analytics foundation now in place, Nvizion Solutions and Wilsonart can build toward a more connected, insight-driven digital commerce ecosystem. The standardized tracking, governed data layer and centralized BigQuery environment create an opportunity to move beyond measurement into deeper customer and product intelligence. Together, the teams can progressively leverage this foundation for advanced customer segmentation, behavioral and journey analysis, product performance insights, predictive analytics, personalized digital experiences, and more connected business reporting. As Wilsonart’s digital commerce ecosystem evolves, the foundation can also support the integration of additional data sources and emerging AI-driven analytics capabilities turning trusted commerce data into actionable insights that can inform customer experience, marketing, merchandising and broader business decisions.
