Many marketing teams invest in attribution tools hoping to justify spend, but these platforms can't provide clear answers if the underlying engine is inefficient. You must first diagnose and fix how your leads convert into meetings before attribution data becomes meaningful.

CFOs don't expect flawless marketing attribution. They distrust 'black box' metrics and prefer CMOs who are transparent about uncertainties. The best approach is to openly discuss imperfections and collaborate on a joint plan to improve measurement over time, building trust and confidence.

Relying on last-touch attribution creates a feedback loop that over-invests in bottom-of-funnel channels like branded Google search. This model fails to account for the preceding marketing actions that prompted the search, misallocating budget away from crucial brand discovery activities.

The persistent arguments between sales and marketing over who "sourced" a deal are the ultimate proof that attribution systems are fundamentally flawed. If these models worked as promised and provided a single source of truth, there would be no debate.

Calculating marketing ROI is misleading in B2B because sales is required to work every deal to close. A more holistic financial view is needed, accounting for sales costs, brand spend, and contribution margin, rather than relying on flawed direct attribution models.

A modern data model revealed marketing influenced over 90% of closed-won revenue, a fact completely obscured by a last-touch attribution system that overwhelmingly credited sales AEs. This shows the 'credit battle' is often a symptom of broken measurement, not just misaligned teams.

A common attribution error is assigning all sales to paid marketing activities. In reality, most brands have a strong "baseline"—sales that would occur even without marketing. Accurate measurement requires modeling this baseline first, then attributing only the incremental lift from campaigns.

Direct attribution models are flawed because platforms like Google and Facebook use tracking pixels to claim credit for sales that would have occurred anyway. Smart marketers are returning to older methods of measuring lift from campaigns rather than relying on misleading platform data.

CloudPay stopped attributing opportunities to single sources like "marketing" or "sales." Analysis showed multiple departments influenced every deal, rendering attribution a source of pointless internal arguments. They still use multi-touch attribution at the campaign level, but not to assign inter-departmental credit.