Purchase intent
Measures evidence that the customer currently wants to buy or take a concrete commercial step, without confusing curiosity with commitment.
AI lead scoring
Lead scoring based on evidence, not a model's gut feeling.
CloserWin evaluates six independent commercial dimensions, weights them by the sales context and reports confidence separately. Purchase intent stays distinct from the overall AI Sales Score so a good-fit lead is not automatically treated as ready to buy.
1,000 AI credits · no card requiredHow it works
A score is useful only when you can explain what created it.
CloserWin treats scoring as a calibrated decision input. The model extracts dimension-level evidence; deterministic server logic controls the total, confidence and sparse-evidence penalty.
Fit
Measures whether the stated need matches what the business can actually provide from trusted commercial context.
Urgency
Looks for a real timeframe or urgency signal rather than assuming that asking a question means the customer is in a rush.
Authority
Tracks evidence that the contact can decide, approve or materially influence the purchase.
Budget readiness
Uses explicit budget, financing/payment readiness or acceptance of terms, while treating a price question alone as weak evidence.
Engagement
Measures useful two-way participation such as substantive replies, requested next steps and qualification information.
Commercial workflow
From conversation evidence to commercial priority.
Evaluate each dimension independently from customer messages, CRM facts and trusted context.
Unknown dimensions contribute no fake positive signal; evidence coverage affects confidence.
Server-side calibration applies business-aware weights and a sparse-evidence penalty to the overall score.
CRM prioritization can use the overall score while Autopilot uses purchase intent specifically for pressure and follow-up logic.
FAQ
AI lead scoring questions
Clear answers about how CloserWin uses evidence, business knowledge and CRM state.
How does CloserWin calculate AI lead scoring?
The model evaluates six commercial dimensions from explicit evidence. The server then calculates the overall score using configured weights, evidence coverage and confidence instead of allowing the model to choose an arbitrary final number.
What dimensions are included?
CloserWin evaluates purchase intent, fit, urgency, authority, budget readiness and engagement. Their weighting can vary by business vertical.
Is purchase intent the same as the AI Sales Score?
No. Purchase intent measures willingness to buy or take a concrete commercial step now. The AI Sales Score summarizes the broader quality of the opportunity, including fit, timing, authority, budget and engagement.
Can one enthusiastic message generate a 90+ score?
Sparse evidence is penalized. A strong score requires broader, higher-confidence support across multiple dimensions, so a single phrase such as 'I'm interested' cannot by itself create a sales-ready opportunity.
What happens after a customer explicitly declines?
A clear opt-out or terminal rejection overrides previous positive evidence and forces purchase intent and the commercial score down rather than allowing old signals to keep the lead artificially hot.
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CloserWin / Sales execution
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