Companies track leads created and opportunities created, but the process in between is a 'black box.' This lack of visibility into sales activity and lead disposition masks the fact that MQLs have terrible conversion rates and consume sales resources that could be better spent elsewhere.

Friction between sales and marketing often stems from using separate definitions for a Marketing Qualified Lead (MQL) and a Sales Qualified Lead (SQL). The most effective approach is to have one unified definition: a potential customer that sales can realistically close. This focuses both teams on the ultimate goal of revenue generation.

Despite generating 1,000 leads a month (3x previous volume), CloudPay's marketing team saw the sales pipeline's dollar value fall. This forced a radical shift from a volume-based "net fishing" approach to a quality-focused, account-based "spear phishing" strategy.

To eliminate friction, Snowflake's marketing team, led by CMO Denise Pearson, abandoned MQLs. Instead, they focused solely on delivering qualified meetings for the sales team, treating sales as their primary customer whose success was paramount.

Top-performing companies are abandoning traditional metrics like MQLs. They now focus on understanding the entire prospecting process—from lead creation to BDR/SDR engagement—to generate stronger pipeline, higher win rates, and more revenue with less wasted effort.

CMO Ben Schechter argues that tracking raw lead count is a dangerous metric. A marketing leader can easily manipulate lead scoring to hit a volume target, flooding sales with low-quality prospects. This erodes sales team trust and causes them to stop following up on all marketing-generated leads.

In B2B sales with multiple decision-makers, tracking individual MQLs is a "lazy metric" that misrepresents buying intent. Success depends on identifying and engaging the entire buying group. Marketing's goal should be to qualify the group, not just a single lead.

MQLs should function as internal signals for the marketing team to orchestrate the next step in the buyer's journey, such as triggering a new automation. They are a delivery system within marketing, not a basket of leads to be handed to sales, which prevents sales from chasing low-quality signals.

Instead of defensively protecting metrics like MQL volume, marketing leaders should proactively question their quality and impact on pipeline. This shifts the conversation from blame to curiosity, builds trust with sales, and positions marketing as a strategic revenue driver.