This study focuses on channel choices in motor insurance. Our aims are twofold: to fill a gap of empirical studies on the determinants of multichannel behavior in the insurance industry and to help companies improve their retail strategies by better predicting customers’ channel decisions. The paper adopts a broad set of personal and digital channels and several dimensions of customer profiling, including psychographic and channel-experience variables. We identify four different customer journeys, based on channel combinations. Our web-based survey, which has turned out 338 valid responses, shows that the majority of insurance customers adopt multichannel search behaviors. However, although most of the search is carried out through digital media, such channels generate low search-to-purchase conversion rates. Most customer journeys are, instead, finalized in the personal channels (namely, the insurance agents), thus evidencing an interesting webrooming effect. We test our set of hypotheses on the determinants of customer journeys with a multinomial logistic regression. Our findings show that multichannel journeys can serve several purposes: they may reflect the customer need to collect more information, the customer preference for shopping innovation, and his/her preference for shopping convenience. Corporate channel management strategies and practices shall consider such determinants and be revised accordingly.

Multichannel customer journeys and their determinants: Evidence from motor insurance

Tracogna A.
2020-01-01

Abstract

This study focuses on channel choices in motor insurance. Our aims are twofold: to fill a gap of empirical studies on the determinants of multichannel behavior in the insurance industry and to help companies improve their retail strategies by better predicting customers’ channel decisions. The paper adopts a broad set of personal and digital channels and several dimensions of customer profiling, including psychographic and channel-experience variables. We identify four different customer journeys, based on channel combinations. Our web-based survey, which has turned out 338 valid responses, shows that the majority of insurance customers adopt multichannel search behaviors. However, although most of the search is carried out through digital media, such channels generate low search-to-purchase conversion rates. Most customer journeys are, instead, finalized in the personal channels (namely, the insurance agents), thus evidencing an interesting webrooming effect. We test our set of hypotheses on the determinants of customer journeys with a multinomial logistic regression. Our findings show that multichannel journeys can serve several purposes: they may reflect the customer need to collect more information, the customer preference for shopping innovation, and his/her preference for shopping convenience. Corporate channel management strategies and practices shall consider such determinants and be revised accordingly.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2957120
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