HubSpot lead scoring assigns each contact a numeric score based on how well they fit your ideal customer and how they engage with your brand. Positive and negative criteria add and subtract points, so your team can sort a long list of leads and focus on the warmest. The result is fewer wasted sales calls and faster follow up on the contacts most likely to buy.
What it does
Turn a messy lead list into a ranked priority queue
Scoring brings fit and behaviour together into one number sales can act on.
Score on fit
Add or remove points for industry, company size, role, and location.
Score on behaviour
Reward page views, email opens, form fills, and meeting bookings.
Subtract on negatives
Lower the score for unsubscribes, free email domains, or stale activity.
Store as a property
The score lives on the contact record and updates as activity changes.
Predictive option
Higher tiers add an AI score that estimates likelihood to close.
Trigger automation
Use the score in lists, workflows, and routing rules.
Manual vs predictive
Two ways to score, depending on your tier
Manual scoring lets you define every rule yourself, which is useful when you know exactly what a good lead looks like. Predictive scoring uses HubSpot’s model to estimate close likelihood from patterns across your data, which helps once you have enough history to learn from.
- Manual score: you set positive and negative criteria and point values
- Predictive score: HubSpot’s AI ranks contacts by likelihood to become customers
- Both write to a contact property your team can sort and filter on
- Many teams start manual, then layer predictive once data builds up
Pipeline value
฿2.45M
▲ 12%
Deals won
18
▲ 4
Avg. response
14m
▼ faster
Set up
How to build a lead score in HubSpot
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Open the score propertyGo to Settings, then Properties, and edit the HubSpot Score property or create a custom score property.
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Add positive criteriaDefine what raises the score: target industry, senior job titles, repeat website visits, or a demo request. Assign points to each.
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Add negative criteriaSubtract points for signals that suggest a poor fit, such as a personal email domain, an unsubscribe, or no activity for several weeks.
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Test against real contactsPreview how existing leads score, then adjust point values until your highest scores match the contacts your sales team actually wants.
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Route on the scoreBuild a workflow that assigns or notifies a rep when a contact crosses your threshold, so warm leads reach a human quickly.
Related
Where lead scoring fits
Scoring feeds the wider Marketing Hub engine that captures, nurtures, and hands off leads.
FAQ
Common questions
What is lead scoring in HubSpot?
Lead scoring assigns each contact a number based on how well they fit your ideal customer and how they engage with your brand. Positive criteria add points, negative criteria subtract them, and the score is stored as a property your sales team can sort and filter on.
What is the difference between manual and predictive lead scoring?
Manual scoring uses rules you define, where you pick the criteria and point values yourself. Predictive scoring uses HubSpot’s AI model to estimate how likely a contact is to become a customer, based on patterns across your data. Manual gives you full control, while predictive helps once you have enough history for the model to learn from.
Which HubSpot tier do I need for lead scoring?
Manual lead scoring is available across most paid tiers, while predictive scoring sits in higher tiers. Check your current subscription in HubSpot, since available features depend on whether you are on a starter, professional, or enterprise level plan.
Can I route leads to sales based on their score?
Yes. Once the score is on the contact record you can build a workflow that triggers when a lead crosses a threshold. The workflow can rotate the contact to an owner, send a Slack or email alert, or move them into a follow up sequence so warm leads reach a rep quickly.
How does lead scoring work for teams using LINE in Thailand?
If your LINE conversations sync into HubSpot as contacts and activity, those interactions can feed your behaviour criteria the same way email and website activity do. A reply on LINE or a booked meeting can raise the score, so a SEA team running on LINE still gets one ranked view of their warmest leads.