Scott Brinker

Attribution: From Credit Scoreboard to Coordination Engine

Attribution was supposed to tell us which channels deserve credit. It mostly told us which teams should fight about it. Frans Riemersma and I just published The State of Marketing Attribution 2026 (sponsored by CaliberMind), and the finding that hit hardest wasn't about models or data. It was about people. The companies getting attribution right in 2026 aren't using it as a scoreboard. They're using it as a coordination system. When we interviewed marketing and revenue ops leaders at companies that have genuinely cracked this, the pattern was striking. They'd stopped asking "who gets credit?" and started asking "where are our highest-impact opportunities, and how do we align around them?" That one reframing changed everything — because it shifted the conversation from dividing up credit to multiplying impact. Attribution became the shared language that got marketing, sales, and leadership coordinating around the same customers, the same journeys, and the same revenue signals. Think about what happens without that shared language. In a flat or shrinking budget environment, attribution defaults to Hunger Games dynamics. Every team defends its slice. Decisions drift toward whichever channel has the easiest reporting, not the strongest contribution. A lot of motion. No coordinated action. The teams we studied flipped that. They used attribution to align the entire go-to-market organization around where value compounds, and the results were remarkable. One company generated 30% more enterprise opportunities at 31% lower cost per opportunity. We're calling this shift Attribution 2.0. The row I'd highlight in the table below: Decision outcomes move from "tactical optimization" to "strategic coordination." Everything else in the shift follows from that. Two forces are converging to make this possible: Context Engineering — AI adds a reasoning layer that turns fragmented data into actionable context. Attribution provides the structure. AI provides the interpretation. Value Engineering — Marketers move up the stack from operators to orchestrators. They reverse-engineer revenue instead of optimizing campaigns. 9 out of 10 marketers can't tell you who their most profitable customers are, what they buy most, and where the margins live. The teams in this report could. The bottom line: modern attribution works like a control tower. Different teams keep their own cockpit dashboards, but they navigate by the same signals. The value of modern attribution lies not in precision, but in coordination action under uncertainty. It's better to be approximately right together than precisely wrong in silos. 📥 Full report here: https://t.co/or3AW7nfT2 Where is your organization on the 1.0 → 2.0 spectrum? I'd love to hear what's working — or what's still stuck.