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DM conversation analysis extracts the buyer's sales stage, emotional state, and concrete signals from thread content to recommend a specific next move. It reads the conversation chronologically and grounds findings in exact quotes to determine whether to advance, nurture, qualify, or disengage.

Conversation intelligence signals include exact buyer language revealing pain points, resistance, deflection, and buying intent. The analysis computes stage momentum as positive, neutral, or stalled, using grounded quotes to assess whether the lead is moving toward a call or needs a pattern interrupt.

Customer signals in a DM thread determine the next move by computing conversation momentum and mapping the stage from Cold to Booked. If momentum is positive, you advance; if stalled, you apply a pattern interrupt or nurture; if unqualified, you disengage based on extracted pain points.

Conversation analysis applies to both inbound and outbound DM workflows to extract buyer pain points and momentum. It evaluates the chronological thread content to output structured fields including stage, signals, and momentum, ensuring the recommended next response is grounded in exact conversation quotes.

DM conversation analysis identifies stalled momentum by reading the thread end-to-end and extracting resistance or deflection signals. When momentum is computed as neutral or stalled, the output recommends a specific pattern interrupt or nurturing action grounded in the buyer's exact language.