The future of account-based marketing isn't just targeting a list of companies. The focus is shifting to identifying the small subset of accounts actively showing high-intent buying signals. This "smarter ABM" approach allows sales to prioritize outreach on the most engaged prospects, increasing efficiency and conversion.

Don't just measure SDR calls and emails. Systematically track the *reason* for outreach—the sales trigger. Was it an intent signal, a form fill, or cold outreach? This crucial data reveals which initial signals actually lead to the best outcomes and deserve more investment.

Despite lower volume, leads from high-intent forms like 'demo request' converted at double the rate of product trials. They also resulted in deals that were twice as large, highlighting a massively undervalued pipeline source that was being ignored in favor of high-volume, low-quality trials.

Instead of abandoning the MQL framework and overhauling systems, marketers should redefine what constitutes an MQL. Focus on high-intent signals (like free trial starts) rather than low-value actions (like email opens). The MQL is a delivery system, and your definition controls its quality.

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.

Many salespeople fill pipelines with leads showing mere interest. Elite performers differentiate this from true buyer intent—the willingness to buy now. They actively disqualify prospects who lack intent, allowing them to focus on fewer, more qualified opportunities and avoid wasting time on conversations that won't convert.

Ditch MQLs. For sales-led motions, measure marketing on qualified pipeline (deals converting at >25%). For PLG motions, measure 'activated signups,' where users hit their 'aha moment.' This aligns marketing with quality and revenue, not volume.

Intent data often fails because it lacks context. To make it effective, you must ground it against actual, first-party behavior observed on your website, in emails, or on social channels. Combining third-party intent with first-party actions validates the signal and makes it truly actionable for sales.

Instead of automatically disqualifying leads with generic email addresses, track their behavior. A user with a Gmail address who clicks a link about "what to look for when hiring" is showing strong buying signals, making them a qualified lead worth a salesperson's time.