Paid acquisition scaled on verified tracking.
A Southern California based agency selling affordable auto insurance, with a large network of retail offices and phone and online quoting. It serves many Spanish-speaking customers and drivers looking for low-cost cover, and it is part of a large national insurance distribution group.
The company was scaling paid acquisition across several channels, but conversion tracking was incomplete and inaccurate.
Without a reliable read on returns per channel, the team held back from increasing budgets. Each platform reported conversions differently, so channels could not be compared.
Conversion tracking setup
We set up conversion tracking for Facebook, TikTok and Google Ads around the quote and lead actions that matter to the business. Each conversion was defined once and mapped to every platform.
Event verification
We tested every event to confirm it fired correctly and was attributed to the right channel. Duplicate and missing conversions were found and fixed before budgets moved.
Consistent measurement
We aligned conversion definitions and settings across platforms so results could be compared like for like. The team gained one way of judging channel performance.
Ongoing monitoring
We set up checks to catch tracking breaks as campaigns and pages changed. Measurement stayed sound while spend grew quickly.
- The team scaled to a much larger ad budget with sound measurement behind it.
- Each channel shows its real returns.
- Tracking went from incomplete to implemented and verified on every channel.
- Channels are compared like for like.
- The team moved from holding back spend to scaling with confidence.
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Ad spend matched to real applications, including the offline ones.
We rebuilt tracking on a server-side GA4 setup, brought every source into one warehouse and built attribution that ties spend to completed finance applications.
A global GA4 migration with no break in measurement for any market.
We designed a global analytics schema for Royal Canin, migrated a very large multi-market site to GA4 and piped the raw data to its Azure and Databricks teams.