Analysis of automobile repeat-purchase behaviour on CRM
- 5 August 2014
- journal article
- Published by Emerald in Industrial Management & Data Systems
- Vol. 114 (7), 994-1006
- https://doi.org/10.1108/imds-01-2014-0031
Abstract
Purpose – The purpose of this paper is to suggest a method of selecting efficient customer service programmes and of providing relevant customer information to dealers, based on the analysis of repeat-purchase behaviour data in the automobile industry. Design/methodology/approach – A recurrent event model is proposed and employed to determine which variables affect repurchasing behaviour in consumers' repurchase cycles. Unlike the conventional recurrent event model, the proposed model uses common variables for all strata, as well as stratum-specific variables. Findings – Empirical results show that age, price difference, change in vehicle type, and marketing promotion affect the likelihood of repeat purchase. VIP service centres and repair services are effective marketing tools, and dealers should pay more attention to existing customers having certain characteristics, depending on prior purchase behaviour. Practical implications – Though many customer service programmes are devised and implemented at great cost, Customer Relationship Management (CRM) data reveal that classic car-care services are the most essential. CRM can provide dealers with essential customer information that enables real purchases. Originality/value – Collecting primary data on automobile purchase behaviour and customer service usage is difficult, and therefore, customer behaviour strategy is often formulated using basic principles alone. The paper proposes a method to construct a service strategy and formulate deal guidelines based on CRM data and statistical modelling.Keywords
This publication has 31 references indexed in Scilit:
- Computationally Efficient Marginal Models for Clustered Recurrent Event DataBiometrics, 2011
- Is loyalty driving growth for the brand in front? A two-purchase analysis of car category dynamics in ThailandJournal of Strategic Marketing, 2010
- A segment‐level hazard approach to studying household purchase timing decisionsJournal of Applied Econometrics, 2002
- Implications for Asymmetry, Nonproportionality, and Heterogeneity in Brand Switching from Piece-Wise Exponential Mixture Hazard ModelsJournal of Marketing Research, 1995
- Regression Analysis of Multivariate Incomplete Failure Time Data by Modeling Marginal DistributionsJournal of the American Statistical Association, 1989
- Accelerating the Durable Replacement Cycle with Marketing Mix VariablesJournal of Product Innovation Management, 1988
- Accelerating the durable replacement cycle with marketing mix variablesJournal of Product Innovation Management, 1988
- On the regression analysis of multivariate failure time dataBiometrika, 1981
- The Efficiency of Cox's Likelihood Function for Censored DataJournal of the American Statistical Association, 1977
- Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable GoodsEconometrica, 1971