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.

Many marketing leaders resist revenue-based KPIs not from a lack of desire, but from a lack of trust in the data. When sales teams fail to properly attribute leads and opportunities in the CRM, marketing's ROI becomes invisible. This breaks the accountability chain, making it impossible for marketers to own a revenue number they can't influence or measure accurately.

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 issue with metrics like MQLs is rooted in CRM architecture. A single lead record cannot accurately reflect the non-linear reality of a buyer's journey, which involves multiple cycles of engagement and disqualification. Historical data gets overwritten, obscuring the true path to conversion.

Marketing engages with people (contacts), not just accounts. If those individual contacts aren't programmatically associated with open opportunities in your CRM, you sever the connection between marketing activities and revenue outcomes, making true impact measurement impossible.

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.

Top-of-funnel metrics are vanity if they don't lead to revenue. Effective marketers must look beyond lead volume and own the entire customer lifecycle, analyzing downstream metrics like lead quality, conversion rates, and win rates to measure true campaign effectiveness.

Relying on outdated metrics like "marketing sourced" or "SDR sourced" pipeline creates departmental silos and credit disputes.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.

Relying on a single data point like "first touch" to explain pipeline creation is flawed. It ignores the complex buyer journey and inevitably leads to a blame game—marketing providing "shitty leads" versus sales doing "poor follow-up"—instead of a systematic analysis of what is truly broken in the process.