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What Is Lead Scoring?
TL;DR
Lead scoring assigns a numeric or tiered value to each contact based on fit (how well they match your ideal customer profile) and engagement (how they have interacted with your outreach), so sales teams can prioritize who to follow up with first.
Fit score vs. engagement score
A fit score is based on static attributes — industry, company size, job title, or intent segment. An engagement score is based on behavior — opens, clicks, replies, or visits to specific pages. Combined, the two produce a priority ranking rather than relying on either signal alone.
How lead scoring is typically built
A rule-based system — assigning points per attribute or action, like +10 for a reply or +5 for a click — is the most common approach in cold-outreach tools. More advanced setups use predictive models trained on historical won and lost deal data, though these require enough historical volume to be reliable.
Using lead scoring in a pipeline
A common pattern is routing only above-threshold leads to reps for immediate manual follow-up, while lower-scored leads stay in automated sequences for longer before getting that manual attention.
