To convince leadership to move beyond MQLs, socratically ask them how they recently bought software. This forces them to realize their own non-linear buying journey doesn't align with the simplistic, linear models they demand from marketing, creating an opening to introduce new metrics.
Leaders mistakenly view marketing as a predictable machine where budget-in equals revenue-out. The reality is that B2B buying is a complex, non-linear system like the weather, influenced by untrackable 'butterfly effect' moments, making single-touch attribution a fool's errand.
When deciding on outreach, weigh the cost of a 'false positive' (contacting a non-buyer) against a 'false negative' (missing a buyer). Poor outreach damages brand reputation and annoys prospects, making the cost of a false positive significantly higher than just the SDR's wasted time.
The MQL was originally a contract: marketing provides quality leads, and sales commits to follow-up. The system broke when marketing, judged on MQL volume, lowered the quality bar to hit arbitrary goals. This turned the MQL into a lever for volume, not a filter for quality, destroying sales' trust.
Focusing only on inbound hand-raisers is a passive strategy that comes too late. Research shows 94% of buyers create their shortlist before filling out a contact form. Engaging buyers while their pain is still latent, before they raise their hand, dramatically increases the probability of winning the deal.
Legacy marketing automation platforms are MQL-generating machines built on rigid rules. Marketo's founder argues the next generation must be AI-native, using reasoning instead of rules to orchestrate complex, non-linear journeys for entire accounts and buying groups, not just individual leads.
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.
The traditional model of passing an MQL from marketing to sales is like a relay race. A better metaphor is a soccer team, where players pass the ball back and forth. In this model, you don't assign credit to individual departments for a goal; you credit the team. Therefore, focus only on total new pipeline.
Marketing's focus is overwhelmingly on generating net-new business. However, for most SaaS companies, a huge portion of revenue comes from existing customers. Marketing KPIs must expand to include post-sale metrics that influence customer retention, reduce churn, and drive expansion revenue.