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Page 1 of 8 ANZMAC 2009 Do older consumers differ from younger consumers in their attitudes, information sources and store choice in the Australian clothing retail market? Giang Trinh, Ehrenberg-Bass Institute, University of South Australia. Email: [email protected] Abstract This study examines whether older consumers differ from younger consumers in their attitudes, information sources and store choice in the Australian retail market. This study provides supported findings to previous research that older consumers choose products based on quality and brand name, and are less price conscious and deal prone than younger consumers. Older consumers tend to find information for fashion from newspapers rather than radio or television. However, the results also suggest alternative findings to previous research, older Australian consumers tend to spend less on luxury products than younger consumers. They are less fashion conscious and enjoy clothes shopping less than younger consumers. Additionally, this study found some differences between older and younger Australian consumers in their store choice. Keywords: Older consumers, Attitudes, Information sources, Store choice, Clothing, Australia. Acknowledgements The author would like to thank Roy Morgan Research for supplying the data that made this study possible. The author would also like to thank John Dawes and Bryony Jardine for their valuable comments on a draft of this paper 1 ANZMAC 2009 Do older consumers differ from younger consumers in their attitudes, information sources and store choice in the Australian clothing retail market? Introduction Older consumers have received growing attention in marketing research in the USA and the UK (e.g. Ahmad, 2002; Ahmad, 2003; Birtwistle and Tsim, 2005; Moschis, 2008; Moschis, 2003; Myers and Lumbers, 2008; Sudbury and Simcock, 2009). One possible reason could be that older consumers are soon going to be the most important group in terms of retail spend (Myers and Lumbers 2008). Yet, limited research has been conducted on older consumer behaviors outside these countries. As such, a study in a different context will add more insight into the topic of older consumer behaviors. Like older consumers in the USA and the UK, those over the age of 55 are financially the most powerful segment in the Australian market (Access Economics, 2001). This segment earns almost 25 per cent of the nation's disposable income and controls 39 per cent of the nation's wealth (Access Economics, 2001). However, little has been known about older Australian consumers’ characteristics and purchase behaviors. This paper, therefore, investigates this issue by examining whether or not older consumers differ from younger consumers in their attitudes, information sources and store choice in Australia, using retail clothing as the market context. Older consumers characteristics Previous findings in the literature have suggested that older consumers tend to patronize reputable/ traditional stores (Lumpkin et al., 1985; Lumpkin and Greenberg, 1982; Moschis, 2003) and spend more on luxury products and services than younger consumers (Gardyn, 2002; Moschis, 2008; Moschis, 2003; Sawchuck, 1995). They also tend to choose products based on quality and brand name, (Burt and Gabbott, 1995; Moschis, 2003) and are less price conscious and deal prone than younger consumers (Bernhardt and Kinnear, 1976, Fox et al., 1984; Gillett and Schneider, 1978; Lumpkin et al., 1985; Lumpkin and Greenberg, 1982; Moschis 2003). In terms of buying clothing, older consumers enjoy clothing shopping (Lumpkin, 1985; Tongren, 1977; Martin, 1976) and are fashion conscious (Birtwistle and Tsim, 2005; Lumkin, 1985; Martin, 1976; Tongren, 1988; Tongren, 1977). Older consumers tend to find information on fashion from newspapers rather than radio or television (Lumpkin, 1985; Lumpkin and Greenberg, 1982; Martin, 1976). Yet, how these characteristics compare to younger consumers is not known. Given that these results are well established in the USA and the UK, findings in a different context (the Australian market) that support these findings or suggest alternative findings would be useful for marketing research in this area. In addition, this study also seeks to compare characteristics of older and younger consumers in the clothing retail environment, which has rarely been done. Older consumers and brand/store choice Although some authors have postulated that older consumers’ brand choices are different from younger consumers (e.g. Cole et al., 2008), surprisingly, previous findings in the literature shows that there is not a lot of age-based segmentation for competing brands in a 1 Page 2 of 8 Page 3 of 8 ANZMAC 2009 wide range of categories from grocery products to durable products and services (e.g. Fennell et al., 2003; Hammond et al., 1996; Kennedy, et al., 2000; Kennedy and Ehrenberg, 2001). Patterns of brand buying within a product category are similar between older and younger consumers (Uncles and Ehrenberg, 1990; Uncles and Lee, 2006). Yet, whether or not these findings can be generalised to the clothing retail market is not known. Indeed, some authors have suggested that there might be age-based segmentation within this market (Burt and Gabbott, 1995, Quinn et al., 2007). The reason is that retailers often use targeting strategies to attract particular age groups of buyers (Bevan, 2002; McGoldrick, 2002) (cited in Quinn et al., 2007). To date, there is no study that has reported whether different competing clothing retail stores appeal to different age groups of consumers. As such, a finding on this issue will advance marketing knowledge in this particular type of market. This paper, therefore, aims to provide empirical research by answering the question whether or not older consumers differ from younger consumers in their attitudes, information sources and store choice in the Australian clothing retail context. Research method and data In order to see if there is any difference between older and younger consumers, we compared the proportions of those aged 55 and over to those aged 34 and under in terms of their attitudes, information sources, and store choice. Not only did we wish to identify if older and younger consumers are different in their characteristics and brand choice, but we also wished to identify the magnitude of the differences. We did this by calculating the difference of proportions (Older group – Younger group) and the ratio of proportions (Older group/Younger group) between the two groups. We did this because in the case of low proportions, absolute comparison might not detect differences due to a scaling effect. If there is little or no difference among the two groups, the difference of proportions should be less than 5 percentage points (Hammond et al., 1996; Kennedy et al., 2000; Kennedy and Ehrenberg, 2001) and the ratio of proportions should be approximately 1.0 (Agresti, 2002). Therefore, we will be looking for differences of +-5 percentage points and above, and ratios of either >1 or < 1. The data used in this study is individual consumer data from Roy Morgan Research. The sample consists of 58294 individuals aged 14 and over across Australia. Thirty percent of the sample are aged 14 to 34, while thirty-six percent are aged 55 and over. The sample was weighted to be representative of the total population of Australia in the age range of the sample. The data was collected by face-to-face interviews during the period January 2006 – December 2006 (Roy Morgan Research, 2006). The data was proccessed ussing the ASTEROID data analysis software provided by Roy Morgan Research. ASTEROID is an analysis software that allows users to produce aggregation of results based on consumer surveys (Roy Morgan Research, 2006). To take into account the attitude variable, the respondents were asked if they agree with the statements such as “It is important to look fashionable” and “I believe that quality is more important than price”, which indicate fashion and shopping preference. For the information source variable, the respondents were asked which one media source they find most useful for providing information when selecting fashion or jewellery. To examine the consumers’ association with store/brand choice, the respondents were asked at which stores they have made a purchase within the last four weeks. We include all stores that have more than 200 respondents reported buying from it. This left us with the top 28 2 ANZMAC 2009 Page 4 of 8 stores in our analysis. Previous large scale data analysis usually limited the number of stores/brands analysis to the top 5 - 10 stores/brands (e.g. Hammond et al., 1996; Kennedy et al., 2000; Kennedy and Ehrenberg, 2001; Uncles and Lee, 2003) or more than 200 respondents reported buying the brand (e.g. Fennell et al., 2003). Results and Discussions Table 1 shows the proportions of older and younger consumers who agree with the attitudinal statements about fashion and shopping preference. As we can see, there are differences in attitudes between the two groups. The older group is more likely to believe that quality is more important than price (77 percent vs 73 percent). They tend to buy Australian made products (86 percent vs 58 percent). They also tend to trust well-known brands (49 percent vs 46 percent), but do not buy more luxury products than younger consumers (66 percent vs 40 percent). On the other hand, older consumers search for a bargain less than younger consumers (34 percent vs 47 percent). They also enjoy clothes shopping less (36 percent vs 55 percent) and are less fashion conscious than younger consumers (24 percent vs 39 percent). Table 1. Attitudes about fashion and shopping preference by older and younger consumers. Attitudes Overall I believe quality is more important than price I try to buy Australian made products as often as possible I have favourite brands for most things I buy and I tend to stick to them I am always ready to try new and different products I try to look stylish I don't buy luxuries anymore I trust well known brands better than the stores' own I enjoy clothes shopping I'll go out of my way in search of a bargain I buy more store's own products than well known brands It's important to look fashionable I will buy a product because of the label I was born to shop I wear clothes that will get me noticed 74 72 68 <35 (Y) (%) 73 58 70 55+ (O) (%) 77 86 66 60 58 52 47 44 40 35 30 24 16 16 66 65 40 46 55 47 39 39 31 25 29 50 52 66 49 36 34 31 24 18 8 6 Difference of proportions 5 27 -4 Ratio of proportions 1.1 1.5 0.9 -17 -13 26 3 -19 -14 -9 -15 -13 -17 -22 0.7 0.8 1.6 1.1 0.7 0.7 0.8 0.6 0.6 0.3 0.2 All differences are statistically significant at p < 0.05. The results support previous findings that older consumers choose products based on quality and brand name, and are less price conscious and deal prone than younger consumers. However, the results also suggest alternative findings to previous research. Unlike previous findings, older Australian consumers tend to spend less on luxury products than younger consumers. They are not fashion conscious and enjoy clothes shopping less than younger consumers. Table 2 shows the differences between older and younger consumers in their information sources. As we can see, catalogues and magazines are the most useful sources of information for both groups. However, there are large differences between the two groups in relation to newspapers, television, internet, radio and cinema. The younger group tends to obtain fashion related information from internet, television, radio, and cinema more than the older group. While 11.8 percent of the younger group find information from internet most useful, only 2.5 percent of the older group find information from this medium most useful. The difference between the two groups is -9.3 percentage points or 0.2 in terms of ratio, which is quite 3 Page 5 of 8 ANZMAC 2009 substantial. Similarly, with the television medium, the difference is quite large, with the difference being -6.9 (2.5 - 9.4) percentage points or 0.3 (2.5/9.4) in terms of ratio. By contrast, the older group tends to obtain fashion related information from newspapers more than the younger group. While 9.4 percent of the older group find information from newspapers most useful, only 6.2 percent of the younger group find information from this medium most useful (3.2 percentage points difference or 1.5 in terms of ratio). Table 2. Information sources by older and younger consumers. Information sources Catalogues Magazines Newspapers Internet Television Yellow Pages Radio Cinema Can’t say/ No answer Overall 43.7 18.9 7.7 7.0 5.7 4.1 1.1 0.6 23.6 <35 (Y) (%) 42.3 22.5 6.2 11.8 9.4 3.9 1.7 1.0 18.0 55+ (O) (%) 36.1 15.6 9.4 2.5 2.5 3.8 0.7 0.3 36.7 Difference of proportions -6.2 -6.9 3.2 -9.3 -6.9 -0.1 -1.0 -0.6 18.7 Ratio of proportions 0.9 0.7 1.5 0.2 0.3 1.0 0.4 0.3 2.0 All differences are statistically significant at p < 0.05 except for Yellow Pages. The results support previous findings that older consumers tend to find information for fashion from newspapers rather than radio or television (Lumpkin, 1985; Lumpkin and Greenberg, 1982; Martin, 1976). In addition, this study found that both older and younger consumers find catalogues and magazines the most useful information sources for fashion purchasing. Only a very small proportion of older consumers (2.5%) find that internet is the most useful information source. Table 3 shows the differences between older and younger consumers in their clothing store choice. As we can see from the table, the competing clothing stores have different appeals to older and younger consumers. Within the department stores, David Jones and Harris Scarfe appeal slightly more to older consumers; while Target, Kmart, and Big W appeal slightly more to younger consumers. These differences are not very large possibly because the department stores tend to offer a wide range of competing brands. Within the specialty stores, there are large differences between the two groups in terms of store choice. Millers, Lowes, Suzanne Grae, Katies, Rivers, and Noni B clearly appeal more to older consumers. In contrast, Jay Jays, Bras N Things, Just Jeans, Jean Wests, Rebel Sport, Supre appeal more to younger consumers. For example, while 9.2 percent of the older group buy from Millers, only 1.5 percent of the younger group buy this brand (7.7 percentage points difference or 6.0 in terms of ratio). Similarly, while 4.1 percent of the older group buy from Lowes, only 1.5 percent of the younger group buy this brand (2.6 percentage points difference or 2.8 in terms of ratio). In contrast, while 4.1 percent of the younger group buy from Jay Jays, only 0.2 percent of the older group buy this brand (-3.8 percentage points difference or 0.1 in terms of ratio). Similarly, 3.0 percent of the younger group buy from BNT, whereas only 0.7 percent of the older group buy this brand (-2.3 percentage points difference or 0.2 in terms of ratio). These large differences in clothing retail store choice could be explained by the reason that older people may dress differently from younger people. Thus, different specialty clothing stores might stock different ranges in order to target different age groups. 4 ANZMAC 2009 Page 6 of 8 Table 3. Store purchased clothing last four weeks by older and younger consumers. Clothing stores Department stores Target Kmart Big W Best & Less Myer David Jones Target Country (incl. Fosseys) Harris Scarfe Specialty stores Millers Lowes Jay Jays Suzanne Grae BNT - Bras N Things Just Jeans Jeans West Rockmans Katies Rivers Sussan Rebel Sport Supre Ed Harry Menswear Pumpkin Patch Colorado Noni B Supermarkets Woolworths Coles Factory outlet/seconds store Overall < 35 (Y) (%) 55+ (O) (%) Difference of proportions Ratio of proportions 13.5 11.6 10.3 7.5 7.4 2.8 2.0 1.0 14.4 12.5 10.9 6.9 6.1 2.2 1.8 0.4 9.3 8.4 7.1 6.3 5.6 3.4 1.6 1.4 -5.1 -4.0 -3.8 -0.7* -0.5* 1.2 -0.2* 1.0 0.6 0.7 0.7 0.9 0.9 1.6 0.9 3.4 5.0 2.9 2.1 1.8 1.7 1.6 1.5 1.5 1.4 1.4 1.3 1.3 1.2 1.2 1.0 1.0 0.7 1.5 1.5 4.1 1.0 3.0 2.6 2.2 1.1 0.9 0.9 1.2 1.5 2.3 1.2 1.3 1.1 0.2 9.2 4.1 0.2 1.9 0.7 0.5 0.5 1.1 1.5 1.6 1.0 0.3 0.2 1.0 0.5 0.6 1.4 7.7 2.6 -3.8 0.9 -2.3 -2.1 -1.7 0.1* 0.5 0.7 -0.3* -1.3 -2.2 -0.2* -0.8 -0.5 1.2 6.0 2.8 0.1 1.8 0.2 0.2 0.2 1.1 1.6 1.7 0.8 0.2 0.1 0.9 0.4 0.5 8.3 2.1 1.5 1.4 1.6 1.2 1.2 2.0 1.5 1.1 0.4 0.3 -0.1* 1.2 1.2 0.9 (*) These differences are not statistically significant at p < 0.05 Conclusions Previous research has indicated that marketers do not see older consumers as a different market segment that need separate marketing offerings (Ahmad, 2002). Retailers are more interested in targeting younger consumers and lack of an understanding of the needs of older consumers (Britwistle and Tsim, 2005). This attitude towards older consumers would suggest a less efficient marketing approach to this potential segment within the fashion retail market considering that the attitudes, information sources and brand/store choice of older consumers are different from younger consumers. The findings of this study demonstrate that older consumers do need different marketing activity. By tailoring marketing activity to older consumers, marketing managers can target this group more effectively and efficiently. 5 Page 7 of 8 ANZMAC 2009 References Agresti, A. (2002), Categorical Data Analysis, Wiley, New Jersey. Access Economics (2001), Population Ageing and the Economy, Commonwealth of Australia, Canberra. Ahmad, R. (2002), "The older or ageing consumers in the UK: are they really different?", International Journal of Market Research, Vol. 44, No. 3, pp. 337-60. Ahmad, R. (2003), "Benefit segmentation: a potentially useful technique of segmenting and targeting older consumers", International Journal of Market Research, Vol. 45, No. 3, pp. 373-88. Bernhardt, K. L. and Kinnear, T. C. (1976), “Profiling the senior citizen market”, in Anderson, B., Editor, Advances in Consumer Research, Vol. 3, Association for Consumer Research, pp. 449-452. Bevan, J. (2002), The Rise and Fall of Marks and Spencer, Profile, London. Birtwistle, G. and Tsim, C. (2005), “Consumer purchasing behaviour: An investigation into the mature womenswear market in the UK”, Journal of Consumer Behaviour, Vol. 4, No. 6, pp. 453-64 Burt, S. and Gabbot, M. (1995), "The elderly consumer and non-food purchase behaviour", European Journal of Marketing, Vol. 29, No. 2, pp. 15-43 Cole, C., Laurent, G., Drolet, A., Ebert, J., Gutchess, A., Lambert-Pandraud, R., Mullet, E., Norton, M.I. and Peters, E. (2008), “Decision making and brand choice by older consumers”, Marketing Letters, Vol. 19, No. 3, pp. 355-65 Kennedy, R., Ehrenberg, A., and Long, S. (2000), "Competitive brands' user-profiles hardly differ", Market Research Society Conference (UK), Brighton, England. Fennell, G., Allenby, G. M., Yang, S. and Edwards, Y. (2003), "The effectiveness of demographic and psychographic variables for explaining brand and product category use", Quantitative Marketing and Economics, Vol. 1, No. 2, pp. 223-44. Fox, M. A, Roscoe, Jr. and Feigenbaum, A. (1984), “A longitudinal analysis of consumer behavior in the elderly population”, in Kinnear, T., Editor, Advances in Consumer Reseach, Vol. 11, Association for Consumer Research, pp. 563-568. Gardyn, R. (2002), “Oh, the good life”, American Demographics, Vol. 24, pp. 31–35. Gillett, P. L. and Schneider, R. L. (1978), Community-wide discount programs for older persons, A review and evaluation”, Journal of Consumer Affairs, Vol. 12, pp. 309322. Hammond, K., Ehrenberg, A. S. C. and Goodhardt, G. J. (1996), "Market segmentation for competitive brands", European Journal of Marketing, Vol. 30, No. 12, pp. 39-49. Kennedy, R. and Ehrenberg, A. (2001), "Competing retailers generally have the same sorts of shoppers", Journal of Marketing Communications, Vol. 7, Special Retail Edition, pp. 1-8. Kennedy, R., Ehrenberg, A., and Long, S. (2000), "Competitive brands' user-profiles hardly differ", Market Research Society Conference (UK), Brighton, England. Lumpkin, J. R. (1985), “Shopping orientation segmentation of the elderly consumer”, Journal of the Academy of Marketing Science, Vol. 13, No. 2, pp. 271-289. 6 ANZMAC 2009 Lumpkin, J. R. and Greenberg, B. A. (1982), “Apparel-Shopping patterns of the elderly consumer”, Journal of Retailing, Vol. 58, No. 4, pp. 68-90. Lumpkin, J. R. and Greenberg, B. A. and Goldstucker, J. L. (1985), “Marketplace needs of the elderly: Determinant attributes and store choice”, Journal of Retailing, Vol. 61, No. 2, pp. 75-105. Martin, C. R. Jr. (1976), “A transgenerational comparison – The elderly fashion consumer”, in Anderson, B., Editor, Advances in Consumer Research, Vol. 3, Association for Consumer Research, pp. 453-56. McGoldrick, P. J. (2002), Retail Marketing, McGraw Hill, London. Moschis, G. P. (1991), “Marketing to older adults: An overview and assessment of present knowledge and practice”, Journal of Consumer Marketing, Vol. 8, Issue. 4, pp. 33-41. Moschis, G. P. (2003), "Marketing to older adults: an updated overview of present knowledge and practise", Journal of Consumer Marketing, Vol. 20, No. 6, pp. 516-25. Moschis, G. P. (2008), “Generation marketing”, in Jones, I. R., Higgs, P. and Ekerdt, D. J. (Eds), Consumption and Generational Change: The Rise of Consumer Lifestyles, Transaction Publishers, New Brunswick, pp. 149-170. Myers, H. and Lumbers, M. (2008), “Understanding older shoppers: a phenomenological investigation”, Journal of Consumer Marketing, Vol. 25 No. 5, pp. 294-301. Quinn, L., Hines, T. and Bennison, D. (2007), “Making sense of market segmentation: a fashion retailing case”, European Journal of Marketing, Vol. 41, No. 5/6, pp. 439-65. Roy Morgan Research (2006), ASTEROID data analysis software. Roy Morgan Research Pty. Ltd., Melbourne, Australia. Sawchuck, K. A. (1995), "From gloom to boom: age, identity and target marketing", in Featherstone, M. and Wernick, A. (Eds), Images and Ageing: Cultural Representations of Later Life, Routledge, London, pp.173-87. Simcock, P. and Sudbury, L. (2006), “The invisible majority? Older models in U.K. television advertising”, International Journal of Advertising, Vol. 25, No. 1, pp. 87–106. Sudbury, L. and Simcock, P. (2009), Understanding older consumers through cognitive age and the list of values: A U.K.-based perspective, Psychology & Marketing, Vol. 26, No. 1, pp. 22–38 Szmigin, I. and Carrigan, M. (2001), “Learning to love the older consumer”, Journal of Consumer Behaviour, Vol. 1, No. 1, pp. 22-34. Tongren, H. N. (1977), “Major item purchases by over 65 consumers”, in Nash, H. and Robin, D., Editors, Proceedings, Southern Marketing Association, pp. 82-87. Tongren, H. N. (1988), “Determinant behavior characteristics of older consumers”, Journal of Consumer Affairs, Vol. 22, No. 1, pp. 136-157. Uncles, M.D. and Ehrenberg, A.S.C. (1990), "Brand choice among older consumers", Journal of Advertising Research, Vol. 30, No. 4, pp.19-22 Uncles, M.D. and Lee, D. (2006), “Brand purchasing by older consumers: An investigation using the Juster scale and the Dirichlet model” Marketing Letters, Vol. 17, No. 1, pp. 17-29. 7 Page 8 of 8