Data Trust & Accuracy

67% of data professionals do not trust their data for decision-making, up from 55% the previous year (Precisely/Drexel University, 2025). Poor data quality costs organizations an average of $12.9 million annually (Gartner). For WooCommerce stores, this manifests as GA4 showing one revenue number, the WooCommerce dashboard showing another, and Facebook Ads reporting a third. The gap stems from six data quality dimensions—accuracy, completeness, consistency, timeliness, validity, and uniqueness—each mapping to specific WooCommerce failures like duplicate transactions, missing refund events, consent gaps, and ad blocker data loss. Server-side tracking with validation at the capture point builds trust by ensuring data consistency across all destinations.