Attribution decides which channels and touchpoints get credit for a deal or conversion.
Key points
- Attribution identifies the events or touchpoints that contributed to an outcome and assigns value to each [1].
- Single-touch models give all credit to the first or last touch; multi-touch models such as linear or W-shaped spread credit across several [2].
- Google Ads now supports only last-click and data-driven attribution, having retired first-click, linear, time-decay and position-based models [3].
- Attribution guides budget: it shows which channels produce pipeline at the lowest Customer Acquisition Cost (CAC) [2].
- B2B attribution is hard because a Buying Committee of several people interacts across many channels over a long Sales Cycle.
- For Outbound Sales, the simplest attribution is source-based: an opportunity created from a reply to a Cold Email is credited to outbound.
Common attribution models
First-touch attribution gives all credit to the first interaction, which favors channels that create awareness. Last-touch gives all credit to the final interaction before conversion, favoring channels that close. Linear attribution spreads credit evenly across every touch. Position-based models, such as U-shaped and W-shaped, give extra weight to key moments like first touch, lead creation and opportunity creation, then share the rest [2]. Data-driven attribution uses statistical models on conversion paths to estimate each touch's contribution. Google Ads has consolidated around data-driven and last-click, retiring the other rule-based models and moving advertisers to data-driven by default [3]. No model is objectively correct; each reflects a view of what matters.
Attribution in B2B sales
B2B attribution is harder than consumer attribution because deals involve many people and long timelines. A VP might click an ad, a manager might read a blog post, and the eventual Decision Maker might reply to a cold email months later. Web analytics tools see only part of this path, and offline touches such as calls and events are easy to miss [1]. For this reason many B2B teams combine two views: a software model for digital touches and a simple source field in the CRM (Customer Relationship Management) recording where each opportunity came from, such as inbound, outbound, referral or partner. Asking new customers how they heard about the company adds a qualitative check that often surfaces channels models miss.
Using attribution well
Attribution is useful when it informs decisions, not when it becomes a debate over credit. The main questions are practical: which channels create pipeline, which produce customers with high Customer Lifetime Value (LTV), and what each costs per opportunity. Comparing Cost per Lead (CPL) and Cost per Meeting by channel, alongside win rate, answers most of them. Consistent definitions matter more than model sophistication; if the rules for tagging a lead's source change every quarter, trends become meaningless. Google recommends choosing a model that fits your conversion path and reviewing results over enough time to be meaningful [4]. Revisiting the model yearly, as channels and buying behavior change, keeps it relevant.
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