Context: Customer retention rate is decided in motion, not in analysis, with customers revealing intent through how they browse, pause, compare, and return.

Challenges: Early cues appear well before abandonment, but decisions remain distributed across marketing, product, and sales, each operating on its own cadence, so by the time changes are made the customer has already resolved their choice elsewhere.

Solution: The Conversion Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors live intent signals as momentum weakens and intervenes during the active evaluation window, flagging stalled progress before the decision window closes.

Impact: Retailers following this approach see teams act while intent is present, with retention improving because timely decisions are made when customers are still deciding, not after they fade.