HubSpot Lead Scoring
HubSpot lead scoring assigns points to contacts based on fit and engagement so Sales can prioritize the hottest leads. HubSpot supports manual, rule-based score properties (positive and negative attributes) and AI-powered scoring on higher tiers — both surface as contact properties you can use in lists, workflows and routing.
Key takeaways
- Scoring blends fit (firmographics/ICP) and engagement (behaviour) into a number.
- HubSpot supports manual rule-based scores and, on higher tiers, AI-powered lead scoring.
- Scores are properties — use them to trigger MQL handoff, routing and nurturing.
Manual (rule-based) scoring
You define positive attributes that add points (visited pricing, opened emails, matches your ICP) and negative attributes that subtract them (unsubscribed, free-email domain, wrong job title). The result is a score property you can threshold to define an MQL.
AI-powered scoring
On higher tiers, HubSpot can score leads with a model trained on your historical conversion data, surfacing a likelihood-to-convert rather than hand-tuned points. It adapts as patterns change, which reduces the manual upkeep of rule-based models.
Putting scores to work
- Set an MQL threshold and auto-advance lifecycle stage when it's crossed.
- Route high scores to reps faster with workflows and rotation.
- Hold lower scores in nurture until engagement rises.
Frequently asked questions
Is HubSpot lead scoring free?
Basic score properties are available on paid tiers, with more advanced and AI-powered scoring on higher Professional and Enterprise plans. Exact availability depends on your subscription.
What's the difference between manual and AI lead scoring in HubSpot?
Manual scoring uses rules you define to add and subtract points. AI scoring uses a model trained on your historical data to predict conversion likelihood, adapting automatically over time.
How many points should make a lead an MQL?
There's no fixed number — set the threshold by back-testing against historically converting leads, then tune it with Sales so the MQL bar matches real-world quality.
Related service: Set up AI lead scoring with Superwork