How do you set up AI lead scoring in HubSpot?

HubSpot offers rule-based scoring that you configure, and predictive or AI scoring on higher tiers that learns from your past deals. Before switching on either, decide what the score predicts and what a rep should do at each level, and make sure the fields it learns from are reliably filled.

HubSpot AI Lead Scoring: How to Set It Up

Choose what the score predicts

A score that predicts a booked meeting behaves differently from one that predicts a closed deal. Pick one outcome and keep fit, meaning the right company and role, separate from engagement, meaning recent activity, so reps can read why a lead scored as it did.

Rule-based or predictive

Rules are transparent and work from day one, which suits small teams and short histories. Predictive scoring needs enough closed deals with consistent data to learn from, and the tier that includes it. Many teams start with rules and add a model once the data supports one.

Wire it into the work

Use the score in workflows and views: route high scores immediately, send the middle to nurture, and leave the rest. Show the score where reps already look, such as their task queue or saved views.

Review it

Every quarter, compare conversion rates by score band. If the bands do not separate, check data quality first: empty company size or industry fields will weaken any model, built in HubSpot or elsewhere.

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