Marketing

Lead Scoring

Definition

Lead scoring is the methodology of ranking prospects based on their perceived likelihood to convert into customers. AI-powered lead scoring uses machine learning to analyze behavioral signals, engagement patterns, firmographic data, and intent signals to assign accurate scores automatically, enabling sales teams to prioritize high-value prospects.

Example

Artemis, iSupplyAI's Lead Hunter, scores prospects found on Reddit and forums based on intent signals, urgency language, and fit with your ideal customer profile.

Related Terms

CAC (Customer Acquisition Cost)MetricsConversion Rate Optimization (CRO)MarketingMarketing AutomationMarketing

Related Reading

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Discover what is content marketing: a simple guide to boost your brand

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