According to insights from , the modern MQL is no longer about arbitrary points for a single click. It’s about intent signals and buying groups . Here is what the "graduated" MQL looks like:

For a while there, it seemed like the B2B world was ready to hold a funeral for the . Industry experts claimed it was "dead," replaced by Account-Based Marketing (ABM) or Product Qualified Leads (PQL). But as Aidan Jacobs and Benjamin discuss in their latest collaboration, the MQL isn’t gone—it just went away to "college" to get a much-needed education.

: The new MQL uses machine learning to find non-obvious patterns. For example, a lead who visits a pricing page three times but never downloads a whitepaper might actually be "hotter" than someone who downloads everything. The Handoff: From Theory to Practice

: As Benjamin notes, we are moving toward Agent-Qualified Leads (AQLs) . AI now analyzes "digital exhaust"—like pricing page visits and competitor research—to identify a genuine buying cycle before a form is even filled out.

: Instead of tracking one person, modern systems look for signals across an entire organization. If three different people from the same company attend a webinar, that’s a "Qualified" signal.

Today, the MQL is back, and it’s more sophisticated than ever. Why the "Old" MQL Failed