Conteúdo do artigo principal

Autores

Manter relações ativas com clientes rentáveis é um dos principais objetivos da indústria asseguradora na Colômbia. Para isto, e para gerar campanhas de retenção, se têm desenvolvido modelos tácticos de segmentação que têm em conta a probabilidade de fuga do cliente e o valor vitalício do mesmo. Esta pesquisa gera um desenho de análise conjunta com 560 tomadores de apólices de seguros de carros em diferentes latitudes da Colômbia. Analisa-se que esquemas promocionais aceleram a probabilidade de renovar a apólice de seguro que eles têm com a sua agencia asseguradora atual. A aplicação de um modelo logit multinomial permite apresentar evidência para pensar que as promoções sob venta cruzada são eficientes para fidelizar usuários rentáveis enquanto que a venta escalonada é propícia para rentabilizar clientes fiéis.

Carlos Gabriel Contreras Serrano

Magíster en Administración de la Universidad de la Salle (Bogotá), especialista en Comportamiento del consumidor e investigación de mercados, de la Universidad EAN (Bogotá), bachelor in Counseling and Psychology, de Los Ángeles International Christian University (Anaheim). Customer Science Consultant de Sinnetic. Correo electrónico: gabriel.contreras@sinnetic.com

Contreras Serrano, C. G. (2016). Fidelização e rentabilização de usuários de seguros todo risco de veículos por meio da venta cruzada e a venta escalonada. Um enfoque promocional para a indústria asseguradora. Revista Universidad Y Empresa, 18(30), 134–157. https://doi.org/10.12804/rev.univ.empresa.30.2016.07

Agbaje, Y. (2014). Customer Relationship Management and Customer Loyalty in Nigerian Telecommunication Industry. Journal of Business & Retail Management Research, 8(2), 1-7.

Assefa, E. (2014). The Effects of Justice Oriented Service Recovery on Customer Satisfaction and Loyalty in Retail Banks in Ethiopia. EMAJ: Emerging Markets Journal, 4(1), 49-58.

Bond, A. & Stone, M. (2004). How the Automotive Insurance Claims Experience Affects Customer Retention. Journal of Financial Services Marketing, 9(2), 160-171.

Cokins, G. (2015). Measuring and Managing Customer Profitability. Strategic Finance, 97(2), 23-29.

Daly, J. (2002). Pricing for Profitability: Activity-Based Pricing for Competitive Advantage. Nueva York: Jhon Whiley & Sons.

Djokic, N., Salai, S., Kovac Znidersic, R., Djokic, I., & Tomic, G. (2013). The Use of Conjoint and Cluster Analysis for PreferenceBased Market Segmentation. Engineering Economics, 24(4), 343-355.

Estrella Ramón, A., Sánchez Pérez, M., Swinnen, G., & Vanhoof, K. (2013). A Marketing View of the Customer Value: Customer Lifetime Value and Customer Equity. South African Journal of Business Management, 44(4), 47-64.

Federación de Aseguradores Colombianos [Fasecolda]. (2007). Convención Fasecolda 2007: cultura y penetración del seguro en Colombia. Bogotá: Autor.

Gitomer, J. (2002). Intelligent Selling? Now there’s a Revelation. Prague Business Journal, 7(24), 9-12.

Guillen, T. (2005). Winning New Business in Construction. Los Ángeles: Gower Publishing Ltd.

Hsiu Yuan, T., Matthews, L., & Crittenden, V. (2012). Balancing Market Share Growth and Customer Profitability: Budget Allocation for Customer Acquisition and Retention. Organizations & Markets in Emerging Economies, 3(2), 45-55.

IBM. (2013). IBM SPSS Data Collection Professional User’s guide. Armonk: IBM Corporation.

Iwata, T., Saito, K., & Yamada, T. (2008). Recommendation Method for Improving Customer Lifetime Value. IEEE Transactions on Knowledge & Data Engineering, 20(9), 254-1263.

Johnson, R., Huber, J., & Bacon, L. (2003). Adaptive Choice Based Conjoint. Sequim: Sawtooth Software, Inc.

Kamakura, W. (2008). Cross-Selling. Journal of Relationship Marketing, 6(3/4), 41-58.

Khlif, H. & Jallouli, R. (2014). The Success of Factors of CRM Systems: An Explanatory Analysis. Journal of Global Business & Technology, 10(2), 25-42.

Kuhfeld, W. (2003). Marketing Research Methods in SAS. Cary North Carolina: SAS Press.

Kumar, V, Petersen, J., & Leone, R. (2010). Driving Profitability by Encouraging Customer Referrals: Who, When, and How. Journal of Marketing, 74(2), 1-17.

Louviere, J., Hensher, D. & Swait, J. (2000). Stated Choice Methods. Cambridge: Cambridge University Press.

Matějka, F. & McKay, A. (2015). Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Model. American Economic Review, 105(1), 272-298.

Montero, I., & León, O. (2007). A Guide for Naming Research Studies in Psychology. Journal of Clinical and Health Psychology, 7(3), 847-862.

Scott, W. (2014). Cross-Selling Strategies that Power Results. Credit Union Journal, 18(15), 1-1.

Sinnetic (2012). Modelo promocional cruzado para el sector servicios. Bogotá: Autor.

Wong, K. (2011). Using Cox Regression to Model Customer Time to Churn in the Wireless Telecommunications Industry. Journal of Targeting, Measurement & Analysis for Marketing, 19(1), 37-43.

Downloads

Não há dados estatísticos.