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.

CloudPay stopped using the word "lead" and adopted "signal" instead. This semantic shift prevents sales reps from chasing a single junior contact and encourages them to research and target the entire buying committee (CFO, CHRO) at the interested account.

Attributing pipeline to a single source (Marketing, SDR, AE) oversimplifies a collaborative process. This reporting style identifies team underperformance but offers no insight into *why* it's happening or how to fix it, rendering it strategically useless for scaling or problem-solving.

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.

To overcome internal assumptions that only the "head of payroll" mattered, the marketing team analyzed past wins. The data showed that 17 different job roles were involved in the customer's buying process, providing definitive proof to justify broadening their account targeting.

Instead of debating multi-touch attribution, first identify the single, independent event that caused a sales rep to engage a prospect. This "trigger" (e.g., demo request, MQL score) reveals the true efficiency of your GTM motions, which is a more fundamental problem to solve.

AI now enables the tracking of every customer touchpoint, including interactions outside of marketing-controlled channels. This provides a complete view from first contact to close, finally solving the long-standing challenge of accurate marketing attribution and ROI measurement.

Relying on outdated metrics like "marketing sourced" or "SDR sourced" pipeline creates departmental silos and credit disputes. This flawed measurement system prevents teams from understanding the true sequence of events and collaborative patterns that actually lead to conversions.