Digital touchpoints and multichannel segmentation approach in the life insurance industry
Purpose: Digital technology is revolutionizing insurance distribution allowing the insurer companies to reach customers via multichannel. The aim of this study is to segment potential customers of life insurance based on their information search, purchasing channels and personal characteristics in the digital environment. Design/methodology/approach: The study uses cross-sectional research survey. In total, 422 questionnaires were collected through a convenience sample of the Romanian population. The data was segmented based on consumer information touchpoints (online vs offline), purchase channel preference (offline by a professional vs online by a standardized platform) and personal characteristics (age, marital status and children). Findings: The channel segmentation analysis revealed that information channel preferences are the most important clustering variables, followed by purchase channel preferences, marital status, having children and age. Four distinct segments were identified: young fully offliners (23.7%), mature fully offliners (31.5%), committed online searchers (23.2%) and cross-channel onliners (21.6%). Practical implications: Insurance companies should adapt their communication and distribution strategy based on multichannel segmentation and should focus on digital touchpoints with costumers. Originality/value: Firstly, the paper reveals multichannel and hybrid segmentation for life insurance. Secondly, it extends the already studied retail channels with search engines and companies' websites. Thirdly, it extends the behavioural variables for channel segmentation with technology acceptance behaviour, attitude towards life insurance, knowledge about life insurance, attitude towards personal selling and quality appraisal of online information sources.
Year of publication: |
2021
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Authors: | Alt, Mónika Anetta ; Săplăcan, Zsuzsa ; Benedek, Botond ; Nagy, Bálint Zsolt |
Published in: |
International Journal of Retail & Distribution Management. - Emerald, ISSN 0959-0552, ZDB-ID 2032071-1. - Vol. 49.2021, 5 (05.01.), p. 652-677
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Publisher: |
Emerald |
Saved in:
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