A scoring model is only worth the trust the sales team places in it. Build it from assumptions and it becomes a number people override; build it from outcomes and it becomes how the pipeline is prioritised.
Why most models fail
They are designed in a room, using criteria that feel right — job title, company size, downloading a whitepaper. Nobody checks those against deals that actually closed. Within weeks reps notice a high score on a prospect who was never going to buy, and the model loses authority it never regains.
Fit and intent are different axes
- Fit — could this organisation buy? Sector, size, geography, and the structural characteristics of good customers.
- Intent — are they buying now? Pages viewed, questions asked, timing signals, engagement depth.
- High fit with low intent means nurture. Low fit with high intent means politely decline. Collapsing both into one number destroys the distinction that made scoring useful.
Routing is half the value
A score that does not change what happens next is reporting rather than operations. Scoring earns its cost when it routes: who receives the enquiry, how fast, and what happens if nobody touches it within a defined window.
Why the conventional approach underdelivers
Platform vendors ship a default model and the configuration exercise becomes filling in their template. That template encodes assumptions from other businesses, and the resulting scores describe a market that is not yours.
The difficulty is not knowing that fit and intent differ. It is getting clean enough CRM data to identify what closed-won buyers had in common, then validating the model against subsequent outcomes rather than declaring it finished at launch.
What this means for your business
Pull your last fifty closed-won deals and look for what they shared at first contact. If your CRM cannot answer that, the data problem comes first — which is what our analysis of stalled leads and the CRM audit address.