Current practices, challenges, and opportunities for lifestyle-based market segmentation of older consumers in Thailand

Older consumers’ consumption patterns differ from those of other customer groups, affecting many business factors and practices, including product development and service delivery. Acquiring, monitoring, and processing lifestyle and other behavior-oriented data become key activities to gain in-sights about older consumers. While lifestyle patterns have been observed in marketing research for several decades, observing older consumers’ lifestyles is still a challenging task and needs further exploration. This study investigates the current practices of marketing researchers and professionals in Thailand in conducting lifestyle-based market segmentation (LMS) as well as related challenges and opportunities. A qualitative in-depth interview approach was employed, with eighteen marketers who have at least ten years of experience. The verbatim data were analyzed by using deductive thematic analysis. As a result, Thai marketers frequently use self-reported questionnaires in offline and online formats, face-to-face interviews with older consumers, telephone surveys, and questionnaires posted on social media sites to collect data for LMS. From the marketers’ perspectives, the LMS of older consumers requires abundant resources. It is still perplexing to access data that directly lead to customer insights into the current practices. Additionally, there is a lack of data collection tools tailored to LMS for the older population. Nevertheless, these issues shed some light on specific opportunities to develop more robust and tailored tools and techniques to conduct LMS faster and more efficiently (i.e., getting valid and reliable data while using fewer resources than the current ones).

[1]  World Population Ageing 2020: Highlights , 2021 .

[2]  Chulwoo Kim,et al.  Lifestyle and travel motivation of the elderly in South Korea: baseline characteristics and the relationship between demographic factors , 2020 .

[3]  Ya-Lan Chan,et al.  The Research on Lifestyle, Physical and Mental Health, and Potential Consumption for Elderly , 2018, IMIS.

[4]  A. Ahuvia,et al.  CONSUMER CULTURE THEORY AND LIFESTYLE SEGMENTATION , 2017 .

[5]  Drew Franklin,et al.  The Relationship between E-Lifestyle and Internet Advertising Avoidance , 2015 .

[6]  Art Weinstein,et al.  Lifestyle Market Segmentation , 2014 .

[7]  J. Blasius,et al.  Identifying audience segments applying the “social space” approach , 2010 .

[8]  Lynn Sudbury,et al.  A multivariate segmentation model of senior consumers , 2009 .

[9]  Susan E. Hardy,et al.  Missing Data: A Special Challenge in Aging Research , 2009, Journal of the American Geriatrics Society.

[10]  George Coe,et al.  Managing Customer Relationships , 2006 .

[11]  George P. Moschis,et al.  Marketing to older adults: an updated overview of present knowledge and practice , 2003 .

[12]  P. Vyncke Lifestyle Segmentation , 2002 .

[13]  Chin‐Feng Lin,et al.  Segmenting customer brand preference: demographic or psychographic , 2002 .

[14]  Bobby C. Vaught,et al.  Is lifestyle an important factor in the purchase of OTC drugs by the elderly , 1998 .

[15]  A. Herzog,et al.  Age and response rates to interview sample surveys. , 1988, Journal of gerontology.

[16]  Joseph T. Plummer The Concept and Application of Life Style Segmentation , 1974 .

[17]  W. Wells,et al.  Activities, interests and opinions. , 1971 .

[18]  Sara Dolnicar,et al.  Market Segmentation for e-Tourism , 2021 .

[19]  T. Chang,et al.  Facility preferences for senior housing among lifestyle segments in Taiwan , 2019, 26th Annual European Real Estate Society Conference.

[20]  M. Oris,et al.  Representation of vulnerability and the elderly. A Total Survey Error perspective on the VLV survey , 2016 .

[21]  Saravudh Anantachart Discovering Thai Senior Consumers’ Patterns of Consumption in Bangkok , 2013 .

[22]  Philip Kotler,et al.  Strategic marketing for nonprofit organizations , 1985 .