Use cases
The specific situations that bring enterprise teams to us, in the words they actually use to describe them - not the vendor terms. Each one names what we implement once, then gets straight to what it changes for your reporting.
Trust your Adobe Analytics numbers again
When the numbers stop matching what the business actually did, the fix is a data-layer and processing-rules audit, not a new dashboard.
Move off AppMeasurement without losing your history
Migrate to the Adobe Experience Platform Web SDK with parallel tracking, so year-over-year comparisons survive the cutover.
Report suites that agree with finance
Reconcile Adobe Analytics revenue against how finance actually books it, so both teams argue about strategy, not whose number is right.
Customer Journey Analytics without the migration chaos
A planned, parallel-run migration to CJA - schemas and data views designed on purpose, not a lift-and-shift.
Stop paying Adobe for data nobody trusts
Audit what you collect against what you actually use, and stop licensing volume for tracking nobody queries.
Processing rules someone can actually explain
Document every active processing rule in plain language and retire the ones nobody can justify anymore.
One Launch property, governed
Clean up years of accumulated rules and extensions, then put a review process around every future publish.
Your agency changed a tag and nobody knows what broke
Change review and staging validation in front of every publish, so a broken metric has a documented cause.
Prove which campaigns drive revenue in Adobe, not the ad platform's math
Cross-channel attribution built inside Adobe, so credit for a sale comes from one neutral view instead of five self-reported ones.
Analytics your auditors and executives read the same way
One governed dataset behind both the executive dashboard and the audit trail, so the two numbers can never diverge.