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.

Over-relying on last-click measurement is like only crediting the striker for a goal, ignoring the midfielders and defenders. This flawed logic causes marketers to over-invest in bottom-funnel "strikers" (e.g., branded search), creating a dysfunctional team that ultimately loses.

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.

Standard attribution models, even multi-touch, fail to credit influential, non-clickable touchpoints like a child watching a Netflix show that inspires a purchase. This "Hot Wheels Problem" highlights the need to account for view-through attribution and the full, often hidden, customer journey.

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 journey-based analysis revealed paid search was the first touch for 76% of pipeline and 69% of closed-won deals, making it their most important pre-deal channel. This impact was completely obscured by their last-touch attribution model, which systematically under-credits top-of-funnel channels.

To move beyond last-click attribution, small businesses should add a simple metric to their daily tracking: impressions. By analyzing the relationship between impression spikes and the subsequent rise in clicks days or a week later, they can start to see the true top-of-funnel drivers of their business, revealing which channels are building crucial initial awareness.

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.

Reddit's ad business is growing rapidly because its users are not passively scrolling. Instead, they visit the platform with a specific problem to solve or topic to research, making them a high-intent audience that is more receptive to relevant advertising for both B2B and B2C products.