Bibliographic record
Abstract
Marketing to aged consumers: a marketplace challenge Ageing consumers are becoming an increasingly relevant and prominent consumer group for marketersyet there is a lack of research in the marketing literature (Rybaczewska and Sparks, 2021).This special section, i.e. marketing to aged consumers, and the associated track at Global Marketing Conference, 2020 are an attempt to stimulate this research and bring the topic to the fore.We hope that it delivers and stimulates further research that will help marketers and researchers to better recognise ageing consumers as legitimate consumers who need legitimate markets to better meet their growing and dynamic needs.Research for the past two decades has continuously suggested that ageing consumers are the fastest growing consumer group in developed countries and have the highest level of spending power and net worth of any aged group and average spending on products and services is more than ever before (Chen and Shoemaker, 2014).Researchers note that many of these ageing people expect to maintain their well-being and quality of life over several decades of ageing and make decisions accordingly (Bateson, 2021).Whilst they start preparing for the future, few actually relate "their" ageing with being frail and needing permanent care but foresee an attractive lifestyle, being independent and feeling supported (Bowling and Iliffe, 2011).Yet, life satisfaction and thus well-being in old age are low (Baird et al., 2010) and people report general anxiety about ageing (Sargent-Cox et al., 2014 andKillen andMacaskill, 2020).There is agreement amongst researchers that for older people, social ties, connections and activities are important contributors to well-being (Shankar et al., 2015) and quality of life (Orden et al., 2020).Practising marketers have also been slow to respond to the ageing population opportunity in most markets and some researchers suggest that marketers often insult this target market through inappropriate marketing (Rosenthal et al., 2021).For marketers, it is important to acknowledge that older consumers are comprised individuals with unique needs that transition as they agecognitively or physically.Ageing affects all of the facets of consumers' life from decision-making, evaluation, media behaviour, socialisation, sensitivity and even reactions to marketing activities (Rybaczewska and Sparks, 2021).This opens up challenges and opportunities to recognise and fulfil their needs in ways that enhance well-being.To support practising marketers, as well as ageing people and their stakeholders, marketing researchers are exploring and testing many aspects of marketing to ageing consumers including dealing with stereotypes (Westberg et al., 2020), developing models of life-course (Moschis, 2021), service design (Bateson, 2021), marketing and policy (Nunan and Di Domenico, 2019), technologies for ageing people (Wilson-Nash and Tinson, 2021) and many more.In this section, we are delighted to present three papers on marketing to aged consumers.Our section begins with a paper titled "Lifestyle segmentation of older Koreans: A longitudinal comparison of segments and life satisfaction" from Kwon Jung (KDI School of Public Policy and Management) and Jihye Jung (University of Texas) where they adopt a longitudinal research design to explore segmentation of ageing consumers based on their lifestyle and value orientations and then how this might impact consumer satisfaction.We also include a paper titled "Aging consumers and their brands: A customer journey perspective" from Chao-Chin, Huang (National Pingtung University of Science and Technology) where the author explores the ageing consumer journey and how this might be different between age-denial brands and age-adaptive brands.Finally, we include a paper titled "Using the life course paradigm to study financial well-being in late life" from Pattharanitcha Prakitsuwan Editorial 1
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.056 | 0.053 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".