I will admit it.
We probably lost more than a few six figure deals because our marketing qualified leads were not sales ready.
The CRM looked healthy. Hundreds of hot leads on the dashboard. Only 8% turned into sales qualified leads.
That gap was not a sales failure. It was not a marketing failure either.
It was a measurement failure.
Our lead scoring model rewarded activity that was easy to see, not behaviour that meant someone was actually buying.
Form fills scored higher than intent. Attendance beat evaluation. We were celebrating motion, not direction.
The scoreboard was wrong.
It looked sensible on paper. Download a whitepaper, get points. Attend a webinar, get more points. Fill a contact form, jump the queue…
The flaw is simple. Buying intent rarely lives inside your content.
Someone reading competitor reviews on G2 is far closer to a decision than someone downloading their third eBook.
A prospect checking compliance details on a pricing page late at night is doing risk assessment, not research. That behaviour carries weight.
We built a model that favoured what was trackable, not what was meaningful.
Everything changed when we started tracking behaviour outside our own walls.
Third party validation mattered. Visits from review platforms, especially competitor comparison pages, were strong predictors of serious intent.
Technical overlap mattered. Leads spending time on integration and compatibility documentation were testing fit, not curiosity.
Regulatory concern mattered. Deep engagement with compliance content such as GDPR or SOC two was a buying signal in disguise.
Timing mattered. Repeat visits to pricing or demo pages clustered close together told us more than raw visit counts ever did.
Source mattered. Leads coming from private chat groups or Reddit threads were already in vendor selection mode.
When these signals carried more weight, MQL to SQL conversion nearly tripled.
Not because leads were more engaged, but because they were actively evaluating.
Aligning scoring with the real buyer journey
Marketing wanted volume. Sales wanted conversations that went somewhere.
A better scoring model forced alignment.
We added a simple qualification layer. The lead had to fit the ICP. It had to show real intent. And it had to be a genuine buyer, not a student or a vendor doing research.
We also introduced decay. Scores dropped unless new behaviour appeared. No more permanently hot leads that went quiet months ago but still clogged the pipeline.
Momentum replaced memory.
Look at your last ten closed won deals. Trace what happened before the deal moved. Build your model from that reality, not from a template.
Give more weight to external behaviour like review sites, pricing pages, and security documentation.
Let scores fade. Fresh intent is more valuable than old interest.
Review the model regularly. Otherwise marketing will optimise for volume and sales will quietly ignore the output.
Most lead scoring models exist to make dashboards look good.
The ones that work exist to make sales money.
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