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CAR SHOPPING INSIGHTS: LOYALTY TO DEALERSHIP Mudd.com

Car Shopping Insights: Dealership Loyalty

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CAR SHOPPING INSIGHTS:

LOYALTY TO DEALERSHIP

Mudd.com

WHO’S MORE LOYAL?

Are older car buyers or younger buyers more loyal to their dealer?

Are women or men more loyal?

Does media preference affect loyalty?

The answer to each of these questions is…NO!

• There are no significant differences in dealer loyalty based on age or gender

• No matter which media buyers prefer, there is no significant difference in their dealer

loyalty

Good news - the majority of buyers (about 60%) consider themselves “somewhat

loyal” and another 25% consider themselves “extremely loyal”

IMPORTANT BUYING FACTORS

Across the board, price and the salesperson influence buying the most

As buyers age, price is the only factor that does not trend upward

• The salesperson, location, future service, and availability all become more important

• For buyers 25 and under, 50% consider location an important factor

• For buyers age 55+, 70% consider location important

Using mobile marketing? Price is a great message

Older customers take less time to consider a purchase

Southern customers are more concerned with decision-making factors like

location than Midwest customers

Responders with no prior experience at this business consider all factors

important

SELLING USED CARS?

Target younger people

• Buyers under 25 are twice as likely to buy a used car as age 55+ buyers

Market online

• Smart phone penetration is still much higher for younger buyers

Different aged buyers consult different web sites

• 18-34 index high on AutoTrader and Cars.com

• 55+ index high on KBB and Edmunds

Females make up 45% of the survey responders, but only 30% of the visitors to

EBayMotors.com

These metrics do not show any “surprises”

The younger the buyer, the more likely they

are to buy a used car as opposed to a new

one

Loyalty crosses all age demographics

MEDIA USAGE AND

LOYALTY BY AGE

91% 91% 86%76%

62%

41%

0%

20%

40%

60%

80%

100%

16-24 25-34 35-44 45-54 55-64 65+

Age (in years)

Smart Phone

84%90% 93% 95% 96% 94%

0%

20%

40%

60%

80%

100%

16-24 25-34 35-44 45-54 55-64 65+

Age (in years)

TV News

0%

20%

40%

60%

80%

100%

16-24 25-34 35-44 45-54 55-64 65+

Age (in years)

Loyalty

Not loyal Somewhat loyal Extremely loyal

98% 98% 98% 98% 97% 92%

0%

20%

40%

60%

80%

100%

16-24 25-34 35-44 45-54 55-64 65+

Age (in years)

Radio

47%39%

33% 34%24% 21%

0%

20%

40%

60%

80%

100%

16-24 25-34 35-44 45-54 55-64 65+

Age (in years)

Used Car

38%44%

49% 53%60%

49%

0%

20%

40%

60%

80%

100%

16-24 25-34 35-44 45-54 55-64 65+

Age (in years)

Trade Paper

Both male and female consumers listen to

radio news and/or watch TV news than

reading trade papers.

There is not much difference in the use of

smart phone

MEDIA USAGE AND

LOYALTY BY

GENDER

98% 97%

0%

20%

40%

60%

80%

100%

Female Male

Radio

0%

20%

40%

60%

80%

100%

Female Male

Loyalty

Not loyal Somewhat loyal Extremely loyal

58% 62%

0%

20%

40%

60%

80%

100%

Female Male

Used Car

93% 92%

0%

20%

40%

60%

80%

100%

Female Male

TV News

47%53%

0%

20%

40%

60%

80%

100%

Female Male

Trade Paper

75% 77%

0%

20%

40%

60%

80%

100%

Female Male

Smart Phone

No significant difference in media

usage or loyalty for consumers that

bought cars in the past 12 months.

MEDIA USAGE AND

LOYALTY BY

PURCHASE/ LEASE

TIMEFRAME

74% 77% 79% 76% 77% 75%

0%

20%

40%

60%

80%

100%

<1 1-3 4-6 7-9 10-12 12+

Timeframe (in months)

Smart Phone

69% 67%71% 71% 71% 69%

0%

20%

40%

60%

80%

100%

<1 1-3 4-6 7-9 10-12 12+

Timeframe (in months)

TV News

0%

20%

40%

60%

80%

100%

<1 1-3 4-6 7-9 10-12 12+

Timeframe (in months)

Loyalty

Not loyal Somewhat loyal Extremely loyal

85% 86% 88% 86% 89% 89%

0%

20%

40%

60%

80%

100%

<1 1-3 4-6 7-9 10-12 12+

Timeframe (in months)

Radio

36% 28% 30% 29% 31% 30%

0%

20%

40%

60%

80%

100%

<1 1-3 4-6 7-9 10-12 12+

Timeframe (in months)

Used Car

15% 16% 16% 16% 18% 15%

0%

20%

40%

60%

80%

100%

<1 1-3 4-6 7-9 10-12 12+

Timeframe (in months)

Trade Paper

Smart phone users seem to prefer TV

news in comparison to radio news.

No significant difference in loyalty.

MEDIA USAGE AND

LOYALTY BY SMART

PHONE USERS

81%89%

0%

20%

40%

60%

80%

100%

Users Non Users

Radio

0%

20%

40%

60%

80%

100%

Users Non Users

Loyalty

Not loyal Somewhat loyal Extremely loyal

30% 32%

0%

20%

40%

60%

80%

100%

Users Non Users

Used Car

76%67%

0%

20%

40%

60%

80%

100%

Users Non Users

TV News

21%14%

0%

20%

40%

60%

80%

100%

Users Non Users

Trade Paper

Non-radio users seem to be marginally

more loyal than radio users.

MEDIA USAGE

AND LOYALTY BY

RADIO USERS

0%

20%

40%

60%

80%

100%

Users Non Users

Loyalty

Not loyal Somewhat loyal Extremely loyal

34% 33%

0%

20%

40%

60%

80%

100%

Users Non Users

Used Car

44%

93%

0%

20%

40%

60%

80%

100%

Users Non Users

TV News

17%

47%

0%

20%

40%

60%

80%

100%

Users Non Users

Trade Paper

TV news viewers seem to prefer “used

cars” a little more than non-viewers.

MEDIA USAGE AND

LOYALTY BY TV

NEWS VIEWERS

0%

20%

40%

60%

80%

100%

Viewers Non Viewers

Loyalty

Not loyal Somewhat loyal Extremely loyal

37% 31%

0%

20%

40%

60%

80%

100%

Viewers Non Viewers

Used Car

15%

53%

0%

20%

40%

60%

80%

100%

Viewers Non Viewers

Trade Paper

Similarly, Trade magazine readers seem to

prefer “used cars” a little more than non-

readers.

MEDIA USAGE AND

LOYALTY BY

NEWSPAPER/TRADE

MAGAZINE READERS

0%

20%

40%

60%

80%

100%

Non Readers Readers

Loyalty

Not loyal Somewhat loyal Extremely loyal

37% 31%

0%

20%

40%

60%

80%

100%

Readers Non Readers

Used Car

Price and the salesperson influence the purchase the most – no matter what age group

Location is more important as patrons age

Price is the only factor that does not trend up with age… it trends down

Score is calculated by taking the sum of the top 2 boxes (4 and 5) and subtracting the sum of the bottom two boxes (1 and 2)

FACTOR SCORE BY AGE

40%

50%

60%

70%

80%

90%

100%

16-24 25-34 35-44 45-54 55-64 65+

Factor Score by Age

Price Availability Future Service Location Salesperson

While price is the most important

factor for smart phone users, future

service is the 2nd most important

factor.

Score is calculated by taking the sum

of the top 2 boxes (4 and 5) and

subtracting the sum of the bottom two

boxes (1 and 2)

FACTOR SCORE BY

SMARTPHONE USERS

69%

74%

61%

70%

78%

73%

80%

60%

77%

88%

50% 60% 70% 80% 90% 100%

Location

FutureService

Availability

Salesperson

Price

Factor score by Smartphone users

Smartphone users Non - smartphone users

“73% of Smartphone owners consider Location an

important factor in buying. 69% of non-smartphone

users consider Location important”

Future service seem to influence

female consumers a little more than

their male counterparts.

Score is calculated by taking the sum

of the top 2 boxes (4 and 5) and

subtracting the sum of the bottom two

boxes (1 and 2)

FACTOR SCORE BY

GENDER

60%

69%

69%

84%

90%

59%

65%

70%

83%

90%

50% 60% 70% 80% 90% 100%

Location

Future Service

Availability

Salesperson

Price

Factor Score by Gender

Male Female

There is a correlation between

responders stating they are loyal and

their repeat purchase activity

More responders who said they are

“extremely loyal” had purchased from

the dealer before than had not

Fewer responders who said they are

“not loyal” had purchased from the

dealer before than had not

LOYALTY:

WHAT THEY SAY AND WHAT THEY DO

13%

61%

26%

8%

58%

35%

0% 10% 20% 30% 40% 50% 60% 70%

Not loyal

Somewhat loyal

Extremely loyal

Previous Purchase by Loyalty

Purchasers Non purchasers

65+ responders have highest stated

“extreme loyalty” compared to other

age groups.

LOYALTY:

WHAT THEY SAY AND WHAT THEY DO

13%

57%

30%

11%

64%

25%

10%

62%

28%

10%

61%

29%

13%

60%

27%

11%

56%

33%

0% 10% 20% 30% 40% 50% 60% 70%

Not loyal

Somewhat loyal

Extremely loyal

Respondents by Loyalty

65+ 55-64 45-54 35-44 25-34 16-24

There is no difference between genders on

stated loyalty

LOYALTY:

WHAT THEY SAY AND WHAT THEY DO

12%

60%

27%

11%

60%

28%

0% 10% 20% 30% 40% 50% 60% 70%

Not loyal

Somewhat loyal

Extremely loyal

Respondents by Gender

Male Female

Responders that have purchased in the 12+

months time frame have highest stated

loyalty.

LOYALTY:

WHAT THEY SAY AND WHAT THEY DO

13%

57%

30%

11%

64%

25%

10%

62%

28%

10%

61%

29%

13%

60%

27%

11%

56%

33%

0% 10% 20% 30% 40% 50% 60% 70%

Not loyal

Somewhat loyal

Extremely loyal

Respondents by Purchase timeframe

12+ months 10-12 months 7-9 months 4-6 months 1-3 months <1 month

The higher the monthly payment, the more

likely responders are to have a smart phone

Other relationships (trade paper, radio, TV

news) do not have a significant correlation

MONTHLY PAYMENT

LEVEL

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Smartphone Users by Monthly Payment

Non users

Smartphoneusers

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Trade Paper Readers by Monthly Payment

Non readers

Tradepaperreaders

Not surprisingly, the older consumers seem

to have higher monthly payments.

Similarly, male consumers seem to have

higher monthly payments than female

consumers.

MONTHLY

PAYMENT LEVEL

0%10%20%

30%40%

50%

60%70%

80%90%

100%

Monthly Payment by Age Group

16-24

65+

55-64

45-54

35-44

25-34

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Monthly Payment by Gender

Female

Male

No significant correlation between media

habits and monthly payment amounts.

MONTHLY

PAYMENT LEVEL

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Monthly Payment by TV News Viewers

Non Viewers

TV NewsViewers

0%10%20%

30%40%

50%

60%70%

80%90%

100%

Monthly Payment by Radio Users

NonUsers

RadioUsers

url 16-24 25-34 35-44 45-54 55-64 65+ Total Mentions

AutoTrader.com 164 126 97 83 59 52 11,411

Edmunds.com 47 86 110 109 121 129 8,740

KBB.com 82 92 100 103 115 121 8,243

Cars.com 141 125 100 85 66 63 8,106

Honda.com 89 96 102 102 110 89 5,649

Toyota.com 89 91 100 108 116 85 5,528

Lexus.com 30 73 94 121 153 151 3,203

Ford.com 84 89 102 115 102 110 2,955

Carmax.com 137 119 100 84 78 67 2,907

ConsumerReports.org 44 81 104 112 130 146 2,762

Yahoo.com 116 107 105 97 86 68 2,477

Chevrolet.com 94 99 103 96 103 109 2,440

Google.com 138 94 89 93 102 123 2,360

Hyundai.com 84 78 90 109 127 166 2,030

Nissan.com 94 111 102 105 84 78 1,949

Kia.com 102 89 98 110 104 99 1,906

EBayMotors.com 156 111 99 89 75 50 1,656

Dodge.com 88 115 119 88 75 98 1,385

Vehix.com 166 99 92 96 92 39 1,219

Acura.com 74 75 100 103 123 199 1,098

Due to buying more used cars, younger

buyers are more likely to shop buying

sites

Older buyers are more likely to consult

the auto brand sites

Older buyer are more likely to consult the

“old guard” sites:

ConsumerReports.org, Edmunds.com,

and KBB.com

AutoTrader.com is by far the most

popular web site

YOUNGER

CUSTOMERS

CONSULT CAR

BUYING SITES

20% 25% 30% 35% 40% 45% 50% 55% 60%

EBayMotors.com

GM.com

AutoTrader.com

cars.com

Edmunds.com

Dodge.com

Lexus.com

yahoo.com

Chevrolet.com

msn.com

KBB.com

Ford.com

Jeep.com

Acura.com

ConsumerReports.org

Vehix.com

Google.com

Toyota.com

Hyundai.com

Nissan.com

Carmax.com

Honda.com

Kia.com

Percent of Females by Web Site

Women overindex on Kia, Honda, Carmax,

Nissan, Hyundai, and Toyota brand sites

Men overindex on the car buying sites, like

Ebay Motors, AutoTrader, and Cars.com

FEMALES ARE

MORE LIKELY TO

VISIT AUTO BRAND

SITES

0%

20%

40%

60%

80%

100%

120%

16-24 25-34 35-44 45-54 55-64 65+

Purchase Timeframe by Age

<1 month 1-3 Months 4-6 Months 7-9 Months 10-12 Months 12+ Months

28% of 16-34 year old customers made a

decision within one month, while 38% of

65+ customers made a decision within

one month

OLDER CUSTOMERS

TAKE LESS TIME TO

CONSIDER A

PURCHASE

State PRICE SALESPERSON AVAILABILITY FUTURE SERVICE LOCATION

IL 99 93 98 95 92

FL 105 104 109 108 112

IN 99 99 94 91 93

IA 96 93 93 89 90

CA 99 97 99 113 104

MI 97 88 83 81 74

OK 97 110 105 101 105

TN 103 107 112 102 102

PA 101 99 96 101 102

MO 102 96 98 94 92

AL 104 120 116 128 138

KY 102 106 104 108 112

SC 104 107 105 112 116

AR 101 97 97 97 90

HI 103 116 124 118 143

OH 95 88 84 85 83

TX 105 113 117 118 122

NC 100 115 106 116 109

NY 100 95 93 94 91

KS 98 103 95 98 86

GA 99 105 98 88 100

LA 108 105 109 127 125

CO 96 96 92 89 90

NM 105 106 90 104 79

WI 99 81 92 69 60

MN 83 83 81 93 82

MD 100 99 94 83 97

SD 90 88 91 95 84

NV 82 109 98 92 107

VA 106 115 124 106 119

WV 106 110 114 118 122

MS 97 107 100 112 135

ID 92 107 81 97 82

Rust belt States are less concerned with all

factors: MI, OH, WI, MN

Southern/Bible belt States are more

concerned with all factors: AL, TX, LA, VA,

WV, MS

CONSIDERATION

FACTORS DIFFER BY

STATE AND REGION

Responders cluster into 6 unique segments

based on decision-making factors

Those who consider all factors important

(Segment 5) are less likely to have either

purchased or had service at this location

RESPONDERS WITH NO

PRIOR EXPERIENCE AT THIS

BUSINESS CONSIDER ALL

FACTORS IMPORTANT

Males seem to make decisions slightly

quicker than females

The consumers that “previously purchased”

seem to be more in the < 1 month time frame,

then the numbers even out.

The consumers that “previously serviced”

seem to be more in the < 1 month time frame,

then the numbers even out.

GENDER AND

PREVIOUS

EXPERIENCE HAVE A

SLIGHT IMPACT ON

DECISION-MAKING

TIMEFRAME

64%71% 70% 73% 69% 67%

36%29% 30% 27% 31% 33%

0%

20%

40%

60%

80%

100%

<1 1-3 4-6 7-9 10-12 12+

Timeframe (in months)

Previously serviced

No

Yes

46% 43% 49% 52% 50% 50%54% 57% 51% 48% 50% 50%

0%

20%

40%

60%

80%

100%

<1 1-3 4-6 7-9 10-12 12+

Timeframe (in months)

Gender

Female

Male

64% 71% 71% 73% 72% 71%

36%29% 29% 27% 28% 29%

0%

20%

40%

60%

80%

100%

<1 1-3 4-6 7-9 10-12 12+

Timeframe (in months)

Previously purchased

No

Yes