Small implementation errors compound. Duplicate events inflate conversion, inconsistent identities fragment journeys, and silent schema drift makes old analyses impossible to reproduce.
Our audit combines specification review, payload inspection and report-level reconciliation. Every finding includes context, evidence and a concrete route to resolution.
01
Data quality review
Evidence-based findings across event firing, properties, identity stitching, environments and platform parity.
02
Risk-ranked fixes
A repair backlog organized by decision impact, effort and urgency—not a flat list of technical imperfections.
03
Validation routine
Repeatable release checks and monitoring guidance so tracking quality stays healthy after the audit.