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What AI Can Teach You About Service Defection
Manage episode 490583344 series 3587960
תוכן מסופק על ידי Bill Springer. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Bill Springer או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
What if your biggest threat to retention isn’t the competition, but your own calendar? Most dealerships don’t lose customers all at once. They just stop showing up. But with AI and a few simple process shifts, you can catch defection before it happens and make retention feel automatic.
In this episode, sponsored by DriveSure, we welcome Dave Foy, a veteran of automotive retail and founder of the Automotive AI Summit. With decades of experience across OEMs, dealership groups, and vendors, Dave unpacks how dealerships can use predictive insights, emerging tech, and smarter workflows to improve retention and streamline fixed ops. From managing advisor burnout to identifying service risks in your data, this episode is packed with practical strategies that every GM and fixed ops leader should hear.
What we discuss in the episode:
- Why focusing on consistency, not conquest, is the key to long-term service retention
- How AI tools can surface defection risks before the customer is lost
- What advisors really need to be more effective and how to give it to them
- Why your tire strategy might be quietly killing your retention
- How smart inspection tools and predictive data can transform technician productivity
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