Identifying cross‐selling opportunities, using lifestyle segmentation and survival analysis
Abstract
Abstract Purpose – To demonstrate the successful use of lifestage segmentation and survival analysis to identify cross‐selling opportunities. Design/methodology/approach – The study applies lifestyle analysis and Cox's regression analysis model to behavioural and demographic data describing 10,979 UK customers of a large international insurance company. Findings – There are clear differences between the lifestage segments identified with respect to customer characteristics affecting the likelihood of a second purchase from the company and the timeframes within which that is likely to take place. The "mature" segments appear to offer greater opportunities for retention and cross‐selling than the "younger" segments. Research limitations/implications – The study was limited by the type of data available for analysis, which related mainly to life insurance and pension products characterised by low transaction frequency. Different results might be expected for banking or credit‐and‐loan products. The findings could be enhanced by incorporating a wider range of customer characteristics into the analysis. Practical implications – The findings show clear differences in behaviour across the segments identified, providing a basis on which marketing planners might differentiate marketing and communication strategies for particular products market segments. Originality/value – The paper illustrates the adaptation of survival analysis methodology, familiar in other disciplines but comparatively rare in marketing, to the cross‐selling of financial services. It shows how planners cannot only identify customers most likely to repurchase but also predict the timeframe in which that will take place.
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Customer retention has long been considered a powerful force influencing insurance service business success.
“Customer retention has long been considered as a powerful force influencing insurance service business success (Ansell et al. 2007).”
From Health insurance policy renewal: an exploration of reputation, performance, and affect to understand customer inertia (2022) · cites this paper as Ansell et al. 2007
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Kautish, P., Khare, A., & Sharma, R. (2022) · Journal of Marketing Analytics · doi:10.1057/s41270-021-00134-7 · Cited by 25 · see citing works
Explaining customers’ financial service choice with loyalty and cross-buying behaviour
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- Authors
- Ansell, J., Harrison, T., & Archibald, T.
- Affiliations
- University of Edinburgh (GB)
- Venue
- Marketing Intelligence & Planning
- Publisher
- Emerald
- Published
- 2007-06-19
- Volume
- 25
- Issue
- 4
- Pages
- 394-410
- ISSN
- 0263-4503 (ISSN-L)
- OpenAlex
- W2059503117
- Cited by
- 60
- References
- 30
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 5 · 2022: 7 · 2021: 5 · 2020: 2 · 2019: 2 · 2018: 1 · 2017: 3 · 2016: 6 · 2015: 2 · 2014: 5 · 2013: 4 · 2012: 5
- FWCI
- 3.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Marketing Intelligence & Planning (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Keywords
- cross-selling, psychographic segmentation, survival analysis, Cox proportional hazards model, insurance customers, customer retention, life insurance, pension products, financial services marketing, consumer behavior
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