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The impact of loyalty and promotion effects on retention rate

Author

Listed:
  • H-Y Tsao

    (Takming University of Science and Technology)

  • P-C Lin

    (National Cheng Kung University)

  • L Pitt

    (Simon Fraser University)

  • C Campbell

    (Simon Fraser University)

Abstract

Researching customer retention rates is made difficult because of the lack of suitable systems with which to measure it. From a first-order Markov brand-switching model, serial equations are derived to estimate the retention rate using market share and loyalty. To explore the impact of loyalty and promotion programme on retention rate, data from five leading brands for three product categories were obtained to fit the developed model. Findings suggest that: (1) when the loyalty effect remains unchanged over a period of time, the greater the effect of a promotion programme, the greater the retention rate; (2) when the promotion effects among brands are similar, the retention rate varies depending on level of loyalty; and (3) when the proportion of loyal customers is high, the proportion of potential switchers affected by promotion programmes is low. In this case, the impact of a promotion programme on the retention rate is not significant. This model successfully demonstrates how the Markov brand-switching model can be employed to estimate a measure of retention rate from consumer panel data as well as to better understand how promotion affects loyalty, switching behaviour, and retention rate.

Suggested Citation

  • H-Y Tsao & P-C Lin & L Pitt & C Campbell, 2009. "The impact of loyalty and promotion effects on retention rate," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(5), pages 646-651, May.
  • Handle: RePEc:pal:jorsoc:v:60:y:2009:i:5:d:10.1057_palgrave.jors.2602564
    DOI: 10.1057/palgrave.jors.2602564
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    References listed on IDEAS

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    1. Buckinx, Wouter & Van den Poel, Dirk, 2005. "Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting," European Journal of Operational Research, Elsevier, vol. 164(1), pages 252-268, July.
    2. Yim, Chi Kin & Kannan, P. K., 1999. "Consumer Behavioral Loyalty:: A Segmentation Model and Analysis," Journal of Business Research, Elsevier, vol. 44(2), pages 75-92, February.
    3. Uncles, Mark D. & Ehrenberg, Andrew S. C. & Goodhardt, Gerald J., 2004. "Reply to commentary on "Understanding brand performance measures: using Dirichlet benchmarks"," Journal of Business Research, Elsevier, vol. 57(12), pages 1329-1330, December.
    4. W-K Ching & M K Ng & K-K Wong & E Altman, 2004. "Customer lifetime value: stochastic optimization approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 860-868, August.
    5. Moshe Givon & Dan Horsky, 1990. "Untangling the Effects of Purchase Reinforcement and Advertising Carryover," Marketing Science, INFORMS, vol. 9(2), pages 171-187.
    6. Patrick S. McCarthy & P. K. Kannan & Radha Chandrasekharan & Gordon P. Wright, 1992. "Estimating Loyalty and Switching with an Application to the Automobile Market," Management Science, INFORMS, vol. 38(10), pages 1371-1393, October.
    7. Ehrenberg, Andrew S. C. & Uncles, Mark D. & Goodhardt, Gerald J., 2004. "Understanding brand performance measures: using Dirichlet benchmarks," Journal of Business Research, Elsevier, vol. 57(12), pages 1307-1325, December.
    8. Glen L. Urban & John R. Hauser & John H. Roberts, 1990. "Prelaunch Forecasting of New Automobiles," Management Science, INFORMS, vol. 36(4), pages 401-421, April.
    9. Philip H. Hartung & James L. Fisher, 1965. "Brand Switching and Mathematical Programming in Market Expansion," Management Science, INFORMS, vol. 11(10), pages 231-243, August.
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    3. Tariq Jalees, Nimra Shahid, Huma Tariq, 2015. "An Empirical Investigation on the Effect of Brand Loyalty," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(1), pages 166-184, March.
    4. Carol L. Esmark & Stephanie M. Noble, 2018. "Retail space invaders: when employees’ invasion of customer space increases purchase intentions," Journal of the Academy of Marketing Science, Springer, vol. 46(3), pages 477-496, May.

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