HubSpot
Salesforce
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GA4
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Marketo
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Audit Fox
Services
How ChoiceLocal built a best-in-class GA4 and BigQuery infrastructure for franchise analytics
ChoiceLocal is an ROI-focused digital marketing agency specializing in franchise systems.
Digital Marketing
Westlake, Ohio
The challenge
ChoiceLocal's analytics challenges were structural rather than incidental. They operated at a scale — multiple brands, each with dozens or hundreds of franchise locations — where inconsistency, data loss, or inaccurate tracking didn't affect one client. It affected all of them simultaneously.
A single franchise brand might operate across dozens of locations. A portfolio of brands multiplied that complexity considerably. Ensuring that GA4 was consistently and correctly configured across all of them — with the right events, conversion tracking, and GTM setups in place everywhere — required a systematic approach that hadn't yet been established. Without documented SOPs and best practices, the sheer volume of configurations to manage was becoming unworkable.
Our solution
RevX approached this as a multi-layered infrastructure build — standardizing GA4 configuration across all partner brands, protecting historical data through a BigQuery warehouse, and establishing the reporting connections that would make everything usable at scale.
RevX established a cloud data warehouse in BigQuery to address both the historical data backup requirement and the longer-term need for a centralized analytics repository. Years of Universal Analytics data were imported and preserved — protecting the longitudinal record that ChoiceLocal's clients depended on for trend analysis. The warehouse became the single source of truth for digital analytics data across the organization, accessible and queryable rather than siloed across individual GA properties.
The impact
The GA4 and BigQuery infrastructure RevX built gave ChoiceLocal the analytical foundation its franchise-focused business model demanded — accurate data at scale, preserved history, and reporting capabilities that matched the agency's ambitions for what data-driven marketing should look like.
With best-practice GA4 configurations consistently deployed and verified across all partner brands, ChoiceLocal could trust the data flowing into its reporting for the first time since the GA3 sunset. Conversion tracking — calls, form fills, bookings, chat — was capturing correctly everywhere it had been configured, giving the agency and its clients a reliable picture of campaign performance rather than an approximated one.
The BigQuery warehouse gave ChoiceLocal something more durable than any single analytics platform: a centralized, platform-agnostic repository of digital performance data across the organization. Historical Universal Analytics data was preserved and accessible, year-over-year comparisons were restored, and the agency no longer faced the risk of losing client data to future platform transitions. The warehouse is infrastructure that outlasts any individual tool.
With improved GA4 reporting capabilities in place — accurate event data, historical context from imported GA3 records, automated SQL pipelines, and NinjaCat integration — ChoiceLocal could deliver the kind of precise, trend-aware campaign reporting that franchise brands need to make smart marketing investment decisions. The data quality improvement wasn't just an internal win; it directly strengthened the agency's ability to demonstrate ROI to every client it served.
