Short answer
MQLs fail because they measure interest, not intent to buy, and volume-based scoring rewards the wrong behavior. A chart can go up and to the right on the board while almost none of those leads actually convert, because the real signal, private research and peer trust, never shows up in a CRM at all.
There's a specific meeting I remember clearly from a few years into my demand gen career. A CMO was presenting an MQL chart to the board, up and to the right, exactly the shape everyone in the room wanted to see. I asked, quietly, how many of those MQLs had actually converted to revenue that quarter. The room went still for a second before someone changed the subject back to the chart.
That's roughly when I started getting nervous about the state of demand generation. Not because the discipline had failed overnight, but because I could see a gap opening between how buyers were actually behaving and how companies kept insisting on marketing to them.
What Early Warning Signs Showed Demand Generation Was Breaking?
The early warning signs were simple: buyers were researching privately before ever filling out a form, they trusted a peer's recommendation more than a nurture sequence, and chasing MQL volume was causing teams to miss the deals that actually closed. For a while, I felt like a broken record in strategy meetings, repeating variations on the same three points:
- Buyers research in private, not in your forms. By the time someone fills out a gated asset, they've usually already formed an opinion from a source you'll never see in your CRM.
- Prospects trust their peers more than they trust your nurture sequence. A recommendation from a colleague in a Slack channel carries more weight than five perfectly-timed emails.
- Chasing MQL volume is how you miss the deals that actually close. Volume and quality pull in opposite directions more often than anyone wants to admit, and most scoring models are built to reward the wrong one.
Some clients leaned in immediately. Most nodded politely and kept gating ebooks anyway, because the scoreboard everyone already understood felt safer than the one I was describing, even if the new one was closer to reality.
How Has B2B Buying Behavior Actually Shifted?
B2B buying behavior has moved from analog, to the open web, to dark social, to early AI search, faster than most companies' internal playbooks can keep up with. That gap hasn't closed so much as it's become impossible to ignore. A lot of teams are still running plays built for a buyer who did their research on your website in 2015, when that buyer now does most of it somewhere you can't track.
You can respond to that shift with more attribution modeling, trying to prove a system that was never built to see the whole picture. Or you can accept the uncomfortable version: a tight ICP, real investment in dark social influence, and a brand that gets mentioned in the room before anyone opens a search bar at all. That's not a philosophical preference. It's the practical reason demand generation was never a campaign with a start and end date to begin with, it's closer to an ongoing relationship with how your market actually forms opinions.
What Did This Shift Look Like From the Sales Side?
Sales teams could feel this shift long before marketing dashboards showed it, which was the part that took me longest to fully connect. Reps kept describing deals that closed for reasons no lead score predicted, and language that showed up on calls weeks before it ever showed up in a form fill. That signal was sitting right there the whole time. Almost nobody was asking sales for it.
Why Build a Company Around This Instead of Just Writing About It?
I built a company around it because the only way to act on this thesis, not just argue for it, was under my own name. Holding this view early is, frankly, a little lonely. You're telling a board to stop trusting the chart they've trusted for a decade, years before most of them are ready to hear it.
Wasserman Revenue Advisors exists because I got tired of only being able to say this as an employee inside someone else's org chart. Less obsession with attribution perfection. More conviction in a simpler system that actually respects how people buy. The instincts I had years ago weren't contrarian. They were just early, and a year of running client engagements on that thesis has only made me more confident in it.
If you're wondering whether this is a fit for your company, see who a fractional CMO is for, or check the FAQ for answers on cost, timeline, and how an engagement works.
If your demand gen program still runs on assumptions from a decade ago, let's talk about what to change first.