Attribution Modeling

Attribution modeling is the practice of assigning credit for conversions and revenue to the marketing and sales touchpoints that influenced a buyer’s journey. It answers the question every CMO gets asked: “Which campaigns actually drove pipeline?”

Attribution matters in GTM operations because budget allocation depends on it. If you can’t attribute revenue to specific channels and campaigns, you’re guessing where to invest next quarter’s budget. Good attribution separates the campaigns that generate pipeline from the ones that just generate vanity metrics.

The most common models include first-touch (all credit to whatever brought someone in), last-touch (all credit to the final touchpoint before conversion), linear (equal credit across all touches), and W-shaped (weighted credit to first touch, lead creation, and opportunity creation). No model is perfect — they’re all simplifications of a complex, multi-touch buying process.

In practice, most B2B companies start with first-touch and last-touch reporting, then graduate to multi-touch when they have enough data and tooling. The trap is spending months building a perfect attribution model instead of running one that’s directionally correct. A simple model you actually use to make decisions beats a complex model that sits in a dashboard nobody checks.

Self-reported attribution (“How did you hear about us?”) is a useful complement to software-based tracking, especially for capturing dark funnel touchpoints like podcasts, word-of-mouth, and community mentions that don’t generate clickable links. Analytics can help you build and compare attribution models across your GTM data.