Analytics that actually measures what you think it measures
This is the work that almost every adMind engagement starts with. Your tracking is the foundation everything else is built on. If it's wrong, every decision downstream inherits the error.
What's usually going wrong
Most companies we audit have one of a few recurring problems. A GA4 migration that got rushed. A GTM container that accumulated years of half-finished tags nobody owns. Events firing on the wrong pages, duplicate conversions across platforms, UTM hygiene that falls apart at the CRM handoff, consent mode misconfigured in ways that quietly strip attribution.
None of these are exotic. All of them are fixable. The tricky part is finding them, because most of them don't generate errors. The data just ends up slightly wrong in a way that compounds.
What we work with
GA4 and Google Tag Manager
Configuration, migration, remediation. Tag governance, data layer design, consent mode, server-side tagging. The majority of our analytics work.
Adobe Analytics
Implementation, workspace and virtual report suite builds, processing rule logic, and optimization for enterprise clients.
Product analytics
Heap, Amplitude, PostHog, and Mixpanel. Event taxonomy design, funnels, cohorts, and cross-platform alignment with marketing data.
CDPs and event streaming
Segment, RudderStack, mParticle. Schema design, source and destination configuration, identity resolution.
Consent and privacy
Consent Mode v2, IAB TCF, CMP configuration (OneTrust, Cookiebot, Transcend). Making privacy compliance work without gutting your data.
Server-side tagging
Server-side GTM deployments, event filtering, data enrichment, and first-party data strategy. The modern tracking baseline.
How we typically
run this work
Analytics engagements almost always follow a predictable shape, though the specifics vary with scope.
We thought our GA4 was fine because it had data in it. adMind's audit found 14 tracking issues that were silently corrupting our attribution. None of them would have shown up as errors.
[Customer Name]
Marketing Operations Lead
[Mid-market SaaS client]
Common starting points
If any of these sound familiar, a GA4 audit is probably the right first step:
- You migrated from Universal Analytics, checked some boxes, and haven't looked under the hood since.
- Your GA4 and Google Ads conversion numbers tell different stories and nobody can reconcile them.
- You're planning consent mode rollout (or already did it) and aren't sure what the impact was.
- Your data team or a stakeholder has flagged weird numbers and you need an independent opinion.
- You're adding a new platform (CDP, product analytics, server-side tagging) and want to do it right.