When attribution data is broken, the symptom isn’t usually a blank dashboard — it’s three dashboards that tell different stories. Marketing, sales, and finance each have a number; none of them agree; and every channel-spend decision becomes a negotiation rather than a call. Teams in this situation keep scaling what feels right instead of what’s working, and the cost compounds quickly once ad budgets grow past the point where gut instinct is good enough.
We start with access to your GA4 instance, CRM, and ad platforms, then audit the event and UTM layer, trace how conversions flow into CRM fields, and identify where the attribution chain breaks. The output is a fix roadmap prioritized by impact, a KPI dictionary that aligns the team on shared definitions, and an owner checklist so fixes actually get enforced. This works best for teams spending $10k or more per month on paid — below that threshold, the gaps are real but the ROI on fixing them is lower.
The most common finding isn’t a missing UTM — it’s that UTMs are present but inconsistently structured, so they parse differently across tools and produce numbers that can’t be reconciled. A close second: conversion events that fire on the right page but get de-duplicated by the ad platform in a way that inflates attributed conversions by 30–60%. These aren’t configuration errors you can spot by looking at the tag setup in isolation — you see them when you trace a specific journey from ad click through to CRM record and compare what each system recorded. That tracing is the core of the diagnostic.
We need GA4 editor access, CRM admin access, and read access to ad platform accounts. We also need a stakeholder session with whoever owns each of those systems — usually a marketing ops lead, a RevOps person, and someone from paid media. The session isn’t long, but the goal is to understand what decisions are being made off these numbers today, so we can prioritize fixes by what’s actually driving spend allocation. A tracking fix that nobody acts on isn’t worth doing first.
Attribution is never perfect, and we don’t present it as something we’re going to make perfect. The KPI dictionary is as important as the technical fixes — it gets the team to agree on a single definition of a conversion, a single definition of a qualified pipeline touch, and a single source of truth for channel ROI. Without that agreement, even clean tracking produces disputed numbers. The handover includes an owner checklist because fixes decay: UTM structures drift, event implementations break on site updates, and CRM field mappings change when someone adds a new form. Someone needs to own the maintenance, and the checklist makes that explicit. The most common next step after delivery is building out the full revenue analytics layer — dashboards that executives trust and that update automatically.