Analytics that survives the post-cookie era.

Most analytics implementations are half-finished. The events fire but the schemas drift over time. Cross-domain tracking is configured but identity resolution is ambiguous. The platform's exploratory reports look reasonable but nobody has validated that the numbers match commerce reality. When something unusual happens, the investigation stalls because the data foundation is not trustworthy enough to build conclusions on.

Our analytics Lab exists to fix this. Custom event schemas designed for the questions the business actually needs answered — not a generic ecommerce template copied from the platform documentation. Cross-domain and cross-subdomain tracking configured with explicit identity resolution rules. First-party data integration so user-level insights survive the post-cookie environment. Warehouse export pipelines that send every event to the cloud data warehouse where custom attribution, cohort analysis, and long-horizon reporting can run without the platform's own retention limits.

The implementation is engineered, documented, and version-controlled. Schema changes go through a review process. Data quality is monitored continuously. The implementation survives team turnover because the institutional knowledge lives in the documentation and the code — not in the heads of the person who originally set it up.