AI lead scoring that surfaces your best leads
Score leads on what actually predicts conversion — AI and rule-based scoring built on your historical CRM data.
Lead Scoring
Implementation plan
Scoring model designed from historical conversion data
DonePredictive (AI) and manual scoring set up in HubSpot
DoneFit and engagement scoring dimensions
DoneRouting and prioritisation on score
LiveScore thresholds tied to lifecycle stages
QueuedWhat you get
Most lead scoring is a guess — arbitrary points that don't match reality. We build lead scoring on what your data shows actually converts, combining HubSpot's predictive AI scoring with rule-based models tuned to your funnel, so sales spends time on the leads most likely to close and marketing knows what's working.
Talk to salesWhat's included
- Scoring model designed from historical conversion data
- Predictive (AI) and manual scoring set up in HubSpot
- Fit and engagement scoring dimensions
- Routing and prioritisation on score
- Score thresholds tied to lifecycle stages
- Validation and ongoing tuning
A clear, repeatable process
Analyse
We study your won and lost deals to find what actually predicts conversion.
Build
We build the scoring model — predictive and rule-based — in HubSpot.
Roll out
We wire scores into routing, prioritisation and lifecycle stages.
Tune
We validate scores against real conversion and refine the model over time.
What changes for you
Sales focused on the leads that convert
Faster follow-up on hot leads
Scoring you can trust and explain
Frequently asked questions
What is lead scoring?
Lead scoring ranks leads by how likely they are to convert, using a mix of fit (who they are) and engagement (what they do), so sales can prioritise the best leads and marketing can route and nurture accordingly.
What is AI or predictive lead scoring?
Predictive lead scoring uses machine learning on your historical conversion data to score leads automatically — HubSpot offers it on Marketing Hub Enterprise. It finds the patterns that actually predict conversion rather than relying on points you set by hand.
How is AI scoring different from rule-based scoring?
Rule-based scoring assigns points you define for fit and behaviour; AI scoring learns the patterns from your closed-won and closed-lost data. We often combine both — rules for transparency, AI for accuracy — tuned to your funnel.
Which HubSpot tier do I need?
Manual, rule-based scoring is available on lower tiers, while predictive (AI) lead scoring requires Marketing Hub Enterprise. We design the model to fit your tier and goals.
How do you measure if scoring works?
We validate scores against actual conversion — checking that high-scoring leads convert more often — and track win rate and speed-to-lead by score band, then tune the model over time.
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Ready to get started with Lead Scoring?
Talk to sales and we'll scope it against your HubSpot setup — fixed monthly pricing, cancel anytime.