3 Ways to Use Predictive Analytics in Service Drive

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Research regularly finds that consumers are unlikely to travel more than 20 miles for a car service, and almost three quarters of vehicle service visits take place within 10 miles of a customer's home. Three Ways to Use Predictive Analytics in the Service Drive Driving Service Revenue Through Analytics The more you can predict your customers' wants and needs, the better you're able to serve them. That means both increased revenue from writing tickets, as well as increased customer satisfaction from personalized service reminders and offers. Dealers have long understood the power of service reminders to drive revenue, but the combination of modern personalized marketing tools and predictive analytics allows dealers to target not only their own customers, but also specific service prospects within a 10-mile radius. This is an area in which the trend toward longer car ownership works in favor of dealers in the ongoing competition with independent repair and franchised shops. The average vehicle on America's roads is now an unprecedented 11.8 years old. This bodes bad news for new car sales but brings increased opportunities for service revenue. As service revenues industry-wide have grown, some dealers are applying the same data and analytics-driven capabilities to their service drive as they do to their showrooms to grow service traffic, increasing service revenues and cultivating conquest and loyalty sales in the process. In this whitepaper, we'll discuss best practices for increasing service revenues, conquesting service- not-sold customers and retaining loyalty customers. 20 MILES 10 MILES

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