Applying a single attribution model, like last-touch, to all channels is a mistake. It undervalues top-of-funnel activities and can lead to budget cuts that starve the pipeline. Instead, measure each channel based on its intended outcome and funnel stage.

Companies fixated on immediate, last-click attribution will fail. Brand-building efforts like content marketing require patience. ClickUp's success came after months of investment before deals were explicitly sourced to TikTok, a timeline that impatient competitors would abandon too early.

By measuring success on 'last lead source,' the company was incentivized to pour money into paid search for product trials—a clear final touchpoint. This model blinded them to the higher value of other lead types and actively discouraged investment in demand creation activities that build brand and generate higher-quality leads.

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.

Standard attribution often credits Google due to last-click bias. To find true sources of influence, mandate that the sales team asks every new customer: "How did you *truly* hear about us?" and "Who or what influenced you to sign up *now*?". This reveals the real people and channels driving decisions.

Go beyond standard W-shaped or last-touch attribution models. Create "influence reports" that measure the sheer frequency a channel appears in any revenue-generating journey. This provides a different lens, showing which channels are consistently present and influential, even if they don't get direct attribution credit.

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.

Paid search should not be categorized as a marketing or brand-building activity. It is a sales function that captures existing intent, acting as a "toll booth" for demand created elsewhere. This reframing clarifies its role in the marketing mix and prevents over-crediting it for business growth via last-touch attribution.

Solely judging marketing by last-touch attribution creates a false reality. This narrow metric consistently favors predictable channels like search and email, discouraging investment in brand building and creative storytelling that influence buyers throughout their journey. It's a losing battle if it's the only basis for decision-making.