Heat-based lead scoring is a method of prioritizing leads by assigning heat levels based on engagement intensity. CRM systems track prospect interactions such as website visits, email opens, content downloads, and demo requests to determine lead readiness. The more frequently and meaningfully a prospect engages, the higher their heat score. AI-driven CRM platforms continuously adjust scores in real time, ensuring sales teams focus on the most promising leads. Heat-based scoring improves conversion rates by directing attention to leads with the highest intent, helping businesses optimize their outreach and sales strategies.