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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.
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.
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.
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.
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.
The question modern attribution should answer is not "Which channel gets credit for this dollar?" but "What are the commonalities across our most successful buying journeys, and how can we replicate them?" This moves from a simplistic, linear view to a more holistic, pattern-based understanding of customer acquisition.
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.
Standard CRMs typically offer only one field for lead source, which oversimplifies the customer journey. This inherently promotes a last-touch attribution model, ignoring the numerous prior touchpoints like social media ads or direct mail that built awareness and influenced the final conversion.
Don't evaluate marketing channels in silos. A paid search lead isn't just from one click; it was enabled by 5-7 previous brand touchpoints from mass media, social, and other channels. The entire marketing strategy works as a closed loop, and its success must be measured holistically against overall business growth.
A $25 million SaaS company discovered that 80% of its pipeline was effectively invisible. They tracked the 'deal source' (the last touch) instead of the 'prospecting trigger' (what initiated sales outreach), leaving them blind to what actually generated opportunities.