This document discusses using demographic data to target the right customers for car sales. It describes Experian's Automotive database, which contains vehicle purchase histories and consumer attribute data. This data can be used to identify ideal prospective buyers for specific car models down to the ZIP code level, understand their mindsets, and determine the best ways to connect with them through language, offers and advertising mediums. The document provides examples of analyzing buying patterns to identify promising new locations for certain vehicle sales and tailoring messages and channels to different consumer lifestyle segments.
Right Message, Right Medium, Right Customer: Using Demographic Data to Find the Perfect Car Buyer
1. Right Message, Right Medium, Right
Customer Using Demographic Data to Appeal to Your Perfect
Car Buyer
Ken Kolodziej
CEO and Founder
STRING AUTOMOTIVE
Bill Schneider
Senior Director, Support Solutions and Analytic Consulting
EXPERIAN MARKETING SERVICES
Erik Hjermstad
Data Research and Analytics Manager
EXPERIAN AUTOMOTIVE
2. ABOUT
Founded in 2005
Only Google Analytics Partner in Automotive
Dealer Positioning System: Business intelligence
and marketing analytics platform for dealerships
and vendors 1
3. Experian AutoMarket DNASM
AutoMarket DNASM is Experian Automotive’s
big data that enables an unprecedented depth of
analysis and insights into the automotive market 2
4. It’s about emotional connection…
“In a saturated market where it takes more than a good product to bring
consumers into the dealership, combined with strict consumer protection laws in
place, there is no room for error in allocating our marketing dollars. It’s less
about old-school, high-pressure tactics and more about forming an emotional
connection with the consumer.”
– Ashton Brown
Digital Marketing Director of Heritage
Volkswagen of South Atlanta
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5. What if you could…
• Pinpoint the most successful hunting grounds for each
specific model, down to the ZIP code level?
• Understand the mindset of your prospects in each area?
• Make a connection with those consumers by identifying
the language, offers, and mediums that will resonate most
with them?
4
6. Evolution of a campaign...
•Who are my ideal prospects?
•What should I be talking to
them about?
•Where can I find them?
5
9. The Who: From big
data
to perfect customer...
AutoDNA is a unique automotive MVP research file:
• Market – All new vehicle purchases and a sample of used or
historical snapshot
• Vehicle – All vehicles owned by purchasers with descriptive
vehicle details
• People – Behavioral and demographic insights into the people
that buy them
•Leverages NVDB for vehicle registrations
•Leverages ConsumerView for behaviors and demographics
•Delivered as a record level data file - ZIP CodeTM level granularity
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10. The Who: What do we know?
Integration of vehicle purchase history
to drive unique industry insights:
• Market share – by manufacturer, segment,
model
• Loyalty calculations (domestic / import, brand,
segment)
• Migration patterns (brand, domestic vs import,
vehicle segment)
• Average number of months between purchases
(car, truck, SUV, new / used) 8
11. The Who: Start with the numbers
Experian’s core asset is our
North American Vehicle Database:
•More than 9.5 billion records
•More than 709 million vehicles, of which more
than 57 million are Canadian vehicles
•More than 297 million U.S. vehicles in operation
•Nearly 27 million Canadian vehicles in operation
•1.5 billion titles and 1.6 billion registrations
•More than 300 million title brands
•150 million accident – related events 9
12. The Who: Start with the numbers
62 million consumers with strong green behaviors
72,500 weekly new
homeowners
89.9 million married
individuals
39.9 million blue-collar
working adults
16.7 million Irish adults
999,200 teachers /
educators
32 million email addresses
58.8 million homeowners
34 million consumer that do not
think or behave green
7.9 million international travelers
8 million golfers
14.4 million do-it-yourselfers
5.1 million young consumers
between 18-20 years old
18.8 million gardeners
21 million charitable donors
17 million weight- conscious consumers
10.3 million low-priced woman’s apparel
transactions
27 million retirees
5.5 million graduate students
360,000 average new parents each month
235
million consumers
113
million households
26.4 million households with income
between $75,000 and $99,999
40 million consumers with little or no credit
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13. The Who:
Sources of Data
“Experian
has the most well
regarded compiled
consumer file on
the market today.”
– Forrester Research Inc.
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14. The Who: How we use it
Life Event
New parent, homeowner, mover
STATS
32M births, 20M new
homeowners, 16M
moves (annually)
STRENGTHS
Comprehensive data source,
weekly & monthly updates
PRIMARY USAGE
Multi-channel retail,
catalog, financial services,
education, insurance
Geo Statistical
Summarized Credit Statistics,
Auto Market Statistics
STATS
310 credit variables (SCS),
325 geo-demo auto
ownership patterns (AMS)
STRENGTHS
Drives higher predictive
model performance
PRIMARY USAGE
Financial services, automotive,
predictive modeling
Life Style
BehaviorBank
STATS
40 million records on
consumer buying patterns
STRENGTHS
Connect with consumers
based on hobbies, preferences,
and key behaviors
PRIMARY USAGE
Any marketing needs
requiring behavioral data
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15. Mosaic®: An Overview
Hundreds of attributes within one solution:
• A proprietary solution, Mosaic® is a household-based consumer lifestyle
segmentation system
• It’s used to classify all U.S. households and neighborhoods into unique segments,
providing a complete view of consumer’s choices, preferences, and habits for
enhancing the understanding of household lifestyles
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16. Car buyers in Los Feliz, CA
Happily
single
Apartment
dwellers
35-50
Years old
Ethnically
diverse, embrace
multiculturalism
Internet
researchers,
but impulse
buyers
Online
daters
Heavy
consumers
of magazines
and radio
Tend to
move every
3 years
Video
gamers
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17. Car buyers in Porter Ranch, CA
Drive foreign
cars, expecially
luxury sedans,
SUVs, and
sports cars
Belong
to health
club
Receptive
to movie
advertising
Married,
with older
children
Own homes
in affluent
West Coast
suburbs
Theater
and museum
goers
Predominately
Asian, consider
themselves
global citizens
Middle-aged
Settled in
place for at
least a
decade
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18. The What: How to talk to me...
Traditional Digital
• Newspaper
• TV
• Radio
• Direct Mail
• Phone
• Internet
• PPC
• Display
• Email
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21. The What: How we do it
Touch-point Message Triggers
•11 customer-centric message themes that stimulate
transactions and connect relevance of offer
•Financial products & services driven triggers
Channel Receptivity
•Identifies receptivity of direct and mass
communication channels
•Build stronger relationships by utilizing the preferred
communication channel(s) for your audience
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22. The What: Crafting the message
Jet Set Urbanites Sports Utility Families Status Seeking Singles
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23. The What: Crafting the message
Shared Demographics
and Geographics…
Gender: Female
Age: 32
Location: Metro
Education: College
Marital Status: Single
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24. The What: Crafting the message
…but different ways of thinking…
Look at Me Now
•Premium brands
•Country club member
•Enjoys entertaining
•Quality relationships
•Safety, security
Stop & Smell the Roses
•Enjoys simple pleasures
•Creative, cultural, spiritual
•Healthy living
•Outdoor enthusiasts
•Activist thinking
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25. The What: Determining the
• Target most receptive channmel(s) eto cdomimuunmicate with customers
• Indicators for strategic or tactical channel management
• Designed and constructed from consumer research on level of “receptiveness”
to be contacted by direct and mass advertising channels
Direct
communication
channels
•Direct mail
•Email
•Telemarketing
Mass media
advertising channels
•Newspaper
•Magazine
•Radio
•Television
•Web 22
33. The future of media planning…
Digital
Traditional
• What regional editions of the newspaper should I buy?
• Where should I concentrate PPC budget?
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