AI Analytics & Attribution

Marketing data is fragmented across search, social, ads, creators, bio links, email and AI traffic. We build tracking that makes campaigns explainable.

Modern marketing data is fragmented across search, social, ads, creators, bio links, email, and AI traffic. We build tracking systems that make campaigns understandable: GA4 source grouping, Search Console analysis, UTM discipline, conversion events, dashboard summaries, and AI-generated action notes your team can actually use.

Fragmentation Is The Actual Problem

Most teams do not lack data. They have GA4, platform dashboards, a spreadsheet, and Search Console, all disagreeing, and no defensible answer to "what worked last month."

The fix is boring and structural: consistent naming, deliberate events, and one place where the numbers are reconciled.

What We Set Up

  • GA4 event and source setup — events that map to the things you sell.
  • Search Console opportunity reviews — the impressions you already earn but do not convert.
  • Social traffic attribution — separating dark social and referral noise from real sources.
  • UTM governance — a naming discipline so campaigns stay comparable over time.
  • Looker Studio dashboards — one surface instead of five tabs.
  • AI executive summaries — a written read of what changed and what to do, reviewed by a person before it reaches you.

A Note On AI Traffic

Visits arriving from AI assistants and answer engines are increasingly common and poorly captured by default configurations. We make that traffic visible rather than letting it disappear into direct.

What's included

  • GA4 event and source setup
  • Search Console opportunity reviews
  • Social traffic attribution
  • UTM governance
  • Looker Studio dashboards
  • AI executive summaries

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