54% of customers
6
would purchase their car
based on their perception of the car-buying experience,
even if a dealer doesn't offer the lowest price.
Tracking potential buyers over time uniquely
allows analysis of how their actions in a single
week impact subsequent actions and brand
preferences.
7
Now, you can start putting data
you've gathered to work for you through
predictive analytics. As a tool, predictive
analytics can effectively forecast customer
behavior, helping you form actionable
customer segments and personalized offers or
incentives.
8
Using analytics to create customer
acquisition and retention strategies can be
what sets you apart from competition.
Improving the customer experience before
they reach you can be another key differentiator.
More and more, customers value a personalized
customer experience, and data ensures
that you provide that to them in and out of
the dealership. Begin by focusing on your
off-site relationship building. Reach out to
buyers with messaging that distinguishes
you from other dealers—use your data to
craft personalized messages that align with
where customers are in their buying journey.
Using technology that distills complex Big
Data into usable sales intelligence, you
can precisely predict automobile-buying
behavior, transforming your sales experience,
for both your staff and your customers.
6
"Big Data and Analytics in the Automotive Industry: Automotive Analytics Thought Piece," Deloitte
7
"25 Amazing Statistics on How Consumers Shop for Cars," v12data.com, http://www.v12data.com/blog/25-amazing-statistics-on-how-consumers-shop-for-cars/
8
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