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From research to purchase: an empirical analysis of research-shopping behaviour in the insurance sector

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Zeitschrift für die gesamte Versicherungswissenschaft

Abstract

Though almost every insurer provides an integrated solution for online product research and purchase for existing and potentially new customers, there is still a significant percentage of customers turning into research-shoppers, a practice of using one channel for products search and another for purchase. This trend is visible from the channel usage statistics: according to various studies, while more than half of the customers worldwide use the insurers own website for product research, only a minor percentage of them stays there for purchase purposes. The preferred purchase channel often remains the one that enables personal contact to the sales person. This situation is mostly due to the high complexity of the insurance products. In addition, insurance products belong to the category of experience goods, where the evaluation of the product price and characteristics is difficult and can be based only upon previous experience, e.g. after experiencing a claim. While channel switch might lead to higher profit since multichannel customers were found to spend more, the change of the insurer is a serious threat.

In this paper we address this issue and analyse the research-shopper phenomenon in the insurance industry. We investigate which customer and policy characteristics influence the research-shopping behaviour in terms of duration from research conducted via an online channel to purchase conducted using offline channels. Our empirical study is based on a sample of approximately 10 000 research-shopper customers of a large Swiss insurance company across the three insurance products: motor, household/liability and travel insurance. The obtained results show that there are several customer characteristics that have an effect over the duration to purchase and that these characteristics differ across different products. Our findings are relevant to academics and practitioners alike and are important for multichannel management and better understanding of the customer journey.

Zusammenfassung

Trotz der Tatsache, daß eine Vielzahl der Versicherungsunternehmen heutzutage eine integrierte Lösung für Produktrecherche und -kauf im Internet für ihre Kunden implementiert haben, gibt es eine signifikante Anzahl von Research-Shopping-Kunden. Diese Kunden wählen einen präferierten Kanal für die Produktrecherche und wechseln für den Kauf in einen anderen Kanal. Dieses Verhalten wird durch Zahlen aktueller Multichannel-Studien im Versicherungssektor bekräftigt. Gemäß dieser Studien nutzen etwa die Hälfte aller Versicherungskunden die jederzeit verfügbaren Informationen zu Produkten und Preisen im Internet während der Kaufvorbereitung, jedoch nur ein geringer Anteil nutzt den Online-Kanal für den Abschluß der Police. Der bevorzugte Kanal beim Kauf ist weiterhin die Agentur, welche eine persönliche Interaktion mit dem Versicherungsagenten ermöglicht. Gründe dafür liegen sicher in der hohen Komplexität von Versicherungsprodukten, deren Güte und Wert beim Kauf durch den Kunden nur bei vorhandener Produkterfahrung einschätzbar sind. Des weiteren haben Studien gezeigt, daß die Nutzung multipler Kanäle durch Kunden mit einem erhöhten Umsatz einhergeht. Es besteht dabei jedoch die Gefahr, den Kunden auf dem Weg zwischen Internet und Agentur zu verlieren.

In dieser Studie adressieren wir diesen Sachverhalt und analysieren das Research-Shopping- Verhalten im Versicherungssektor. Genauer untersuchen wir den Einfluß von Kunden- und Policencharakteristika auf die Zeitdauer, welche der Kunde zwischen Online-Recherche und Offline-Kauf auf der Agentur benötigt. Unsere Analyse basiert auf einem Datensatz von ca. 10 000 Research-Shopping-Kunden einer Schweizer Versicherung und beinhaltet die Produkte: Motorfahrzeug-, Hausrat- und Privathaftpflicht- sowie Reiseversicherung. Die Ergebnisse der Studie zeigen, welche Charakteristika einen Einfluß auf die Zeitdauer bis zum Kauf haben. Diese variieren je nach Versicherungsprodukt. Unsere Ergebnisse sind gleichermaßen relevant für Forschung und Versicherungsindustrie: Sie geben Ansätze für Verbesserungen im Multichannel-Management und tragen zu einem genaueren Verständnis der Customer-Journey bei.

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Literatur

  • Ansari, A., Mela, C.F., Neslin, S.A.: Customer channel migration. J. Mark. Res. 45(1), 60–76 (2008)

  • Balasubramanian, S., Raghunathan, R., Mahajan, V.: Consumers in a multichannel environment: Product utility, process utility, and channel choice. J. Interact. Mark. 19(2), 12–30 (2005)

  • Berger, A., Cummins, J.,Weiss, M.: The Coexistence of multiple distribution systems for financial services: the case of property-liability insurance. J. Bus. 70(4), 515–546 (1997)

  • Bhatnagar, A., Ghose, S.: A latent class segmentation analysis of e-shoppers. J. Bus. Res. 57(7), 758–767 (2004)

  • Cather, D.A., Howe, V.: Conflict and channel management in property-liability distribution systems. J. Risk Insur. 56(3), 535–543 (1989)

  • Chiu, H.-C., Hsieh, Y.-C., Roan, J., Tseng, K.-J., Hsieh, J.-K.: The challenge for multichannel services: cross-channel free-riding behavior. Electron. Commer. Res. Appl. 10(2), 268–277 (2011)

  • Cox, D.: Models and life-tables regression. J. Royal Stat. Soc. Ser. B. 34(2), 187–220 (1972)

  • Dall’Olmo Riley, F., Scarpi, D., Manaresi, A.: Purchasing services online: a two-country generalization of possible influences. J. Ser. Mark. 23(2), 92–102 (2009)

  • Elliott, M.T., Fu, F.Q., Speck, P.S.: Information search and purchase patterns in a multichannel service industry. Serv. Mark. Q. 33(4), 292–310 (2012)

  • Fader, P.S., Hardie, B.G.: Probability models for customer-base analysis. J. Interact. Mark. 23(1), 61–69 (2009)

  • Gupta, A., Su, B.-C., Walter Z.: An empirical study of consumer switching from traditional to electronic channels: a purchase-decision process perspective. Int. J. Electron. Commer. 8(3), 131–161 (2004)

  • Heitz-Spahn, S.: Cross-channel free-riding consumer behavior in a multichannel environment: an investigation of shopping motives, sociodemographics and product categories. J. Retailing Consum. Serv. 20(6), 570–578 (2013)

  • Knott, A., Hayes, A., Neslin, S.A.: Next-product-to-buy models for cross-selling applications. J. Interact. Mark. 16(3), 59–75 (2002)

  • Konus, U., Verhoef, P., Neslin, S.: Multichannel shopper segments and their covariates. J. Retailing. 84(4), 398–413 (2008)

  • Kumar, V., Venkatesan, R.: Who are the multichannel shoppers and how do they perform?: Correlates of multichannel shopping behavior. J. Interact. Mark. 19(2), 44–62 (2005)

  • Kushwaha, T., Shankar, V.: Are multichannel customers really more valuable? The moderating role of product category characteristics. J. Mark. 77(4), 67–85 (2013)

  • Li, H., Kuo, C., Rusell, M.G.: The impact of perceived channel utilities, shopping orientations, and demo graphics on the consumer’s online buying behavior. J. Comput-Mediat. Commun. 5(2), 0–0 (1999)

  • Liu, X.: Survival analysis: models and applications. Wiley, Chichester, United Kingdom (2012)

  • McKinsey (2012),Winning Share and Customer Loyalty in Auto Insurance. Insights from McKinsey’s Auto Insurance Customer Insights Research

  • Neslin, S.A., Grewal, D., Leghorn, R., Shankar, V., Teerling, M.L., Thomas, J.S., Verhoef, P.C.: Challenges and opportunities in multichannel customer management. J. Serv. Res. 9(2), 95–112 (2006)

  • Neslin, S.A., Shankar,V.: Key issues in multichannel customer management: current knowledge and future directions. J. Interact. Mark. 23(1), 70–81 (2009)

  • Noble, S., Griffith, D., Weinberger, M.: Consumer derived utilitarian value and channel utilization in a multi-channel retail context. J. Bus. Res. 58(12), 1643–1651 (2005)

  • Nunes, P.F., Cespedes, F.V.: The customer has escaped. Harvard Bus. Rev. 81, 96–105 (2003)

  • Rangaswamy, A., Van Bruggen, G.: Opportunities and challenges in multichannel marketing: an introduction to the special issue. J. Interact. Mark. 19(2), 5–11 (2005)

  • Schoenbachler, D.D., Gordon, G.L.: Multichannel shopping: understanding what drives channel choice. J. Consum. Mark. 19(1), 42–53 (2002)

  • Soopramanien, D.G., Robertson, A.: Adoption and usage of online shopping: an empirical analysis of the characteristics of buyers browsers and non-internet shoppers. J. Retailing Consum. Serv. 14(1), 73–82 (2007)

  • Stone, M., Foss, B., Machtynger, L.: The UK consumer direct insurance industry: a role model for relationship management? Long Range Plann. 30(2), 353–363 (1997)

  • Stone, M., Hobbs, M., Khaleeli, M.: Multichannel customer management: the benefits and challenges. J. Database Mark. 10(1), 39–52 (2002)

  • SwissRe: Digital distribution in insurance: a quiet revolution. Sigma, 2 (2014)

  • Thomas, J.S., Sullivan, U.Y.: Managing marketing communications with multichannel customers. J. Mark. 69(4), 239–251 (2005)

  • Trigo-Gamarra, L.: Reasons for the coexistence of different distribution channels: an empirical test for the German insurance market. Geneva Pap. Risk Ins-Iss. Pract. 33(3), 389–407 (2008)

  • Trigo-Gamarra, L., Growitsch, C.: Comparing single-and multi-channel distribution strategies in the German life insurance market: an analysis of cost and profit efficiency. Schmalenbach Bus. Rev. 62, 401–417 (2010)

  • Van Baal, S., Dach, C.: Free riding and customer retention across retailers` channels. J. Interact. Mark. 19(2), 75–85 (2005)

  • Venkatesan, R., Kumar, V., Ravishanker, N.: Multichannel shopping: causes and consequences. J. Mark. 71(2), 114–132 (2007)

  • Verhoef, P.C., Neslin, S.A., Vroomen, B.: Multichannel customer management: understanding the research-shopper phenomenon. Int. J. Res. Mark. 24 2), 129–148 (2007)

  • Yang, A.S.: Measuring self-service technology latent difficulties: insurance decisions on utilitarian and hedonic influences. Asia-Pacific J. Risk Ins. 9(1), 1–33 (2015)

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Mau, S., Cvijikj, I. & Wagner, J. From research to purchase: an empirical analysis of research-shopping behaviour in the insurance sector. ZVersWiss 104, 573–593 (2015). https://doi.org/10.1007/s12297-015-0310-1

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