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FREE WEBINAR: How to Move More Metal with Predictive Analytics

Event Details

FREE WEBINAR: How to Move More Metal with Predictive Analytics

Time: April 27, 2017 from 12pm to 1pm
Location: http://www.dealeron.com/webinar/move-metal-predictive-analytics/
Website or Map: http://www.dealeron.com/webin…
Event Type: webinar, free
Organized By: Eliana Raggio
Latest Activity: Apr 5

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Event Description

Just in case you hadn’t heard, PREDICTIVE ANALYTICS ARE THE HOTTEST THING IN THE AUTOMOTIVE INDUSTRY RIGHT NOW!

When car buyers “kick the tires” on your website, every online action drops hints on what car they will eventually buy. Gathering and measuring the right analytics, will allow you to more accurately predict which cars will sell in the next few days… and which are likely to sit on your lot for a while.

Simply put, PREDICTIVE ANALYTICS HELP DEALERS SELL MORE CARS – FASTER – AND MORE PROFITABLY.

Join this fascinating 1 hour webinar with Predictive Analytics Expert, Noah John. He will provide an essential comprehensive step-by-step walkthrough for anyone who wants to know which cars in their inventory have a strong likelihood to sell…and which cars don’t.He will also share an actual example of how to predict your inventory car sales using your Google Analytics account and a little math. Attendees of this jam-packed presentation will learn:

  • Why predictive analytics is critical to improving your bottom line.
  • How customers’ online click patterns reveal their buying intentions before entering a dealership.
  • To supercharge your Google Analytics to capture 30-40 times more valuable action from online customers.
  • To create a simple mathematical model that predicts car sales using Google Analytics data
  • The limitations to these predictions and how to improve accuracy.

BUCKLE UP, PEOPLE! THE FUTURE IS NOW!

If you are ready to learn How to Move More Metal with Predictive Analytics, then you simply can’t afford to miss this incredible presentation! Register now!

PRESENTER: NOAH JOHN is the co-founder of Autoscores, a predictive analytics company that helps car dealerships forecast their inventory car sales with industry-leading accuracy by analyzing all customer behavior on their VDPs. Before Autoscores, Noah was a software engineer at EA Sports. He has BAs in computer science and mathematics from Rollins College and a MS in computer science from Colorado State University. His graduate work included machine learning, neural networks, and computer science education. Noah has been an avid traveler since graduating college and lived in Spain and South America for close to 3 years. He also has a habit of hiking the highest mountain in any area he lives. He can be reached at noah@autoscores.com.

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