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Australian men ready to buy cars entirely online

Finding No. 7206 – This special Roy Morgan SMS survey was conducted in mid-March (March 16, 2017) in conjunction with the Roy Morgan State of the Nation Report 27 – Focus on Australia’s Automotive Industry with a cross-section of 1,069 Australians aged 18+. Respondents were asked: “Would you buy a car entirely online without going through the traditional dealership process?”

Well-off Australian men are significantly more likely than women to leave the traditional car dealership behind when buying their next vehicle.

Almost half (42%) of Australian men – particularly those in the top socio-economic profile – are prepared to buy a car entirely online compared to just 25% of women and 33% of Australians overall, according to a snap poll by Roy Morgan Research.

Michele Levine, Roy Morgan CEO, believes this is a good indicator of the reach of the digital revolution.

“Men and their cars form part of Aussie culture, particularly the process of kicking tyres in a car dealership.

“But that tradition is under threat as Australians shift their lives increasingly online,” she said.

Finding No. 7206 – This special Roy Morgan Snap SMS Poll was conducted in mid-March (March 16, 2017) in conjunction with the Roy Morgan State of the Nation Report 27 – Focus on Australia’s Automotive Industry with a cross-section of 1,069 Australians aged 18+. Respondents were asked: “Would you buy a car entirely online without going through the traditional dealership process?”


Roy Morgan Snap SMS Poll: Would you buy a car entirely online?

Australians 18+: Yes (33%) cf. no (67%).

Analysis by Gender

  • Men: Yes (42%) cf. no (58%).
  • Women: Yes (25%) cf. no (75%);

Analysis by Age

  • 18-24yr olds: Yes (36%) cf. no (64%);
  • 25-34yr olds: Yes (37%) cf. no (63%);
  • 35-49yr olds: Yes (37%) cf. no (63%);
  • 50-64yr olds: Yes (33%) cf. no (67%);
  • 65+yr olds: Yes (23%) cf. no (77%).

Analysis by State

  • New South Wales: Yes (35%) cf. no (65%);
  • Victoria: Yes (38%) cf. no (62%);
  • Queensland: Yes (36%) cf. no (64%);
  • Western Australia: Yes (22%) cf. no (78%);
  • South Australia: Yes (20%) cf. no (80%);
  • Tasmania: Yes (23%) cf. no (77%).

Analysis by Capital City/ Country Regions

  • Capital City: Yes (33%) cf. no (67%);
  • Country: Yes (34%) cf. no (66%).

Analysis by Socio-Economic Status

  • AB: Yes (42%) cf. no (58%);
  • C: Yes (34%) cf. no (66%);
  • D: Yes (29%) cf. no (71%);
  • E: Yes (27%) cf. no (73%);
  • FG: Yes (24%) cf. no (76%).


Results analysed by Roy Morgan Helix Personas are available on a subscription basis.
www.HelixPersonas.com.au.

Click here to see the key findings of the Roy Morgan State of the Nation Report 27 – Focus on Australia’s Automotive Industry.


For further information:

Contact

Office

Mobile

Michele Levine:       

+61 3 9224 5215  

+61 411 129 093


Question:
Australians were asked: “Would you buy a car entirely online without going through the traditional dealership process?” (March 16, 2017):

Total

Gender

Age

Men

Women

18-24

25-34

35-49

50-64

65+

%

%

%

%

%

%

%

%

Yes

33

42

25

36

37

37

33

23

No

67

58

75

64

63

63

67

77

Total

100

100

100

100

100

100

100

100

 

 

State

Region

Total

NSW

VIC

QLD

WA

SA

TAS

City

Country

%

%

%

%

%

%

%

%

%

Yes

33

35

38

36

22

20

23

33

34

No

67

65

62

64

78

80

77

67

66

Total

100

100

100

100

100

100

100

100

100

 

 

Socio-Economic Quintile

Total

AB

C

D

E

FG

%

%

%

%

%

%

Yes

33

42

34

29

27

24

No

67

58

66

71

73

76

Total

100

100

100

100

100

100


Margin of Error

The margin of error to be allowed for in any estimate depends mainly on the number of interviews on which it is based. The following table gives indications of the likely range within which estimates would be 95% likely to fall, expressed as the number of percentage points above or below the actual estimate. The figures are approximate and for general guidance only, and assume a simple random sample. Allowance for design effects (such as stratification and weighting) should be made as appropriate.

Sample Size

Percentage Estimate

40%-60%

25% or 75%

10% or 90%

5% or 95%

1,000

±3.2

±2.7

±1.9

±1.4