Buyer intent analytics is the process of analyzing buyers’ verbal (text) and nonverbal (subtext) cues using AI and ML models to derive insights that help salespeople understand their buyers’ real purchase intent and act with empathy to close deals faster.

This analysis includes analyzing implicit and explicit signals buyers send on every call, email, and meeting through key decision-maker sentiment, keywords, competitor mentions, intent topics, tone inflection, pitch, facial expressions, and gestures.

The insights from buyer intent analysis, such as buyer sentiment, engagement level, and key moments help sellers determine what kind of a “yes” it is and when the buyer is lying to prevent a contradictory conversation. Sellers can use these insights to plan their sales conversations and next action steps.