502: How Is AI Changing Door-to-Door Sales Coaching? With Pat Brien & Dan Ringen The D2D Podcast

In this episode of The D2D Podcast, Hunter Lee welcomes Patrick Brien (CEO) and Dan Ringen (VP of Business Development) from SPCloser, an AI-powered coaching platform for door-to-door and in-home sales teams. With experience at companies like Fleetmatics, Boeing, NASA, and the Cleveland Guardians, Pat and Dan bring a data-driven approach to improving sales performance and team development. The conversation explores how artificial intelligence is reshaping coaching for door-to-door and in-home sales. Instead of waiting for a manager to shadow or review calls days later, reps can now get instant, objective feedback on their tone, listening skills, and objection handling. For sales managers, AI provides a clear view of each rep’s strengths and recurring challenges without hours of manual observation. Business owners gain reliable data to measure progress, spot performance trends, and refine training systems that directly impact close rates and customer experience. The episode emphasizes one core truth: AI isn’t replacing salespeople, it’s making them more effective. By focusing on awareness, consistency, and communication quality, teams can develop habits that last long after the technology does its job. You’ll find answers to key questions such as: How does AI feedback help sales reps close more deals? What common habits stop reps from improving their performance? How can managers coach effectively with limited time? How does AI improve sales performance in door-to-door and in-home selling? How can sales organizations use technology to train smarter at scale? Connect with the guests: Website: Instagram: @spcloser_ai 🗓️ Mark your calendars: D2DCon 9 lands in Salt Lake City, Utah | Jan 22–24, 2026. Lock in your spot at Thank you for listening! Don't miss out on future episodes!

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502: How Is AI Changing Door-to-Door Sales Coaching? With Pat Brien & Dan Ringen The D2D Podcast is an episode from D2D - Podcast by Sam Taggart.

This episode is 39:48 long.

This episode was published on Dec 9, 2025.

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