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Service to Sales Long-distance Data Mining

Jul 6, 2010
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I am doing work at a store in Brooklyn, NY. The Service department is located about 40 blocks down from the Sales department, and there is no room at the Service shop to place a retail BDC Rep for Service mining.

Working remotely that way, what are some good ways to overcome the distance issue, when you can't have someone on site?

Thoughts?
 
I am doing work at a store in Brooklyn, NY. The Service department is located about 40 blocks down from the Sales department, and there is no room at the Service shop to place a retail BDC Rep for Service mining.

Working remotely that way, what are some good ways to overcome the distance issue, when you can't have someone on site?

Thoughts?
Have you tried Frikintech?
 
I am doing work at a store in Brooklyn, NY. The Service department is located about 40 blocks down from the Sales department, and there is no room at the Service shop to place a retail BDC Rep for Service mining.

Working remotely that way, what are some good ways to overcome the distance issue, when you can't have someone on site?

Thoughts?
Interesting physics problem, but can you clarify what you mean by "Service mining" in this case? Presumably you mean "vehicles sales opportunities from open ROs"(?)

Semantics aside, without a dedicated team member, you'll probably have to work the mining into existing technician workflows. Of course, that means looking at spiffs or comp plan changes, and even then you might not get buy in from them.
 
I am doing work at a store in Brooklyn, NY. The Service department is located about 40 blocks down from the Sales department, and there is no room at the Service shop to place a retail BDC Rep for Service mining.

Working remotely that way, what are some good ways to overcome the distance issue, when you can't have someone on site?

Thoughts?
We've got the perfect solution for you at FRIKINtech and it's automated so you don't need to worry about someone manning the drive. Happy to show you the solution to see if it's a fit. :) Here's my calendar link: Schedule Time on My Calendar
 
Interesting physics problem, but can you clarify what you mean by "Service mining" in this case? Presumably you mean "vehicles sales opportunities from open ROs"(?)

Semantics aside, without a dedicated team member, you'll probably have to work the mining into existing technician workflows. Of course, that means looking at spiffs or comp plan changes, and even then you might not get buy in from them.
Correct. I've never found an e-mail marketing campaign to be as effective for yanking customers out of service and putting them into another vehicle. So, an in-person greeting is essential, but I don' have the manpower to sit anyone there full time.
 
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I work in an office based industry, but many of us wear different hats during the day.
I can see how sales is a big gap, though.
Maybe incentives / bonuses for those who are willing to cross the divide might be a way to do this.

I remember seeing at the dealer I went to recently advertising tires in their service department and then not to much later after that someone posted about using the wifi login page to advertise. Mentioning this is like the IT department asking if your PC is plugged in but I would be doing these things.
 
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I like that idea! Turning service customers into sales opportunities is a smart move. It makes total sense to leverage those interactions to boost sales.
 

✨ AI Highlights

A dealer in Brooklyn seeks solutions for converting service customers into sales opportunities despite being unable to place a dedicated BDC rep at their remote service location 40 blocks away. Respondents suggest implementing automated solutions (with multiple mentions of FRIKINtech), incentivizing technicians to participate in sales mining, and leveraging service department interactions through digital channels like email campaigns and WiFi login pages. The thread reveals that automation and technician incentives are likely more practical than traditional in-person mining when physical distance and space constraints make dedicated staffing impossible.

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