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RAEKFirstPartyData

Lead Scoring

Lead scoring is the practice of ranking prospects by their likelihood to convert, using signals like engagement, behavior, and fit. Powered by first-party data, it helps sales and marketing prioritize the warmest leads instead of treating every lead the same.

Scores combine behavioral signals, such as site visits and email engagement, with fit attributes like firmographics, to estimate readiness and value.

Accurate scoring depends on unified data: a lead's full history across channels produces a far better score than any single tool's partial view.

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