Interest Scoring

is ConnectGain's AI-powered methodology for assigning a dynamic numerical score to each contact that reflects their estimated level of purchase intent and engagement readiness at any given moment. The interest score is calculated by weighing multiple behavioral signals — including message response rates, conversation depth, specific questions asked, products mentioned, urgency indicators, and historical engagement patterns — against each other using a machine learning model trained to predict conversion likelihood. Interest scores update in real time as new behavioral data becomes available, ensuring that the score always reflects the current state of each customer's interest level. Sales teams use interest scores to prioritize their daily outreach focus, with high-scoring contacts receiving immediate personal follow-up and lower-scoring contacts being enrolled in automated nurture sequences until their score increases.