Data & Analytics Engineering
Attribution you can trust and dashboards someone actually reads.
We rebuild tracking and turn reporting into a system your team maintains without us. Most of the fix is not software. It is tagging discipline, redirect hygiene, and one agreed source of truth for conversions.
What we do
- UTM governance. One taxonomy, enforced on every link that leaves the building.
- Redirect and handoff audit. Link shorteners, email click tracking, app-to-web transitions, and payment flows, each checked for where it drops parameters.
- One source of truth. An internal conversion count that every platform number reconciles to, with any disagreement on the record and explained.
- Old and new views side by side. When the taxonomy changes, both views run for a period so year-over-year comparisons stay honest.
- AI referrals. An AI referrer channel in your analytics, and a clear view of what sits in your "direct" bucket and why.
- Dashboards your team owns. Reporting your team uses, documented so your team can maintain it.
Where the founder has done this
At Linqto the founder inherited analytics that labeled more than 80% of conversions "direct," and rebuilt attribution before the team acted on the data.
- Unattributed "direct" traffic cut from over 80% to under 30% (Linqto)
- Affiliate program launched from zero on those rails, 15% of new customers within 6 months (Linqto)
The full story is on the founder's site: The 80% Direct Problem.
Related reading
- AI Search Is Still Search. Seeing It Is the Hard Part.
- The Future of Marketing: How AI Is Shaping Customer Journeys
- The Four Layers of a Marketing Tech Stack That Actually Works
How it starts
It starts with a free 30-minute consultation: five minutes on your business, the rest on advice you can use whether or not you go further.