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The Impact of Tariff Structure on Customer Retention, Usage, and Profitability of Access Services

Author

Listed:
  • Raghuram Iyengar

    (The Wharton School of the University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Kamel Jedidi

    (Columbia Business School, Columbia University, New York, New York 10027)

  • Skander Essegaier

    (College of Administrative Sciences and Economics, Koç University, 34450 Istanbul, Turkey)

  • Peter J. Danaher

    (Department of Marketing, Monash University, Caulfield East, Victoria 3145, Australia)

Abstract

Past research in marketing and psychology suggests that pricing structure may influence consumers' perception of value. In the context of two commonly used pricing schemes, pay-per-use and two-part tariff, we evaluate the impact of pricing structure on consumer preferences for access services. To this end, we develop a utility-based model of consumer retention and usage of a new service. A notable feature of the model is its ability to capture the pricing structure effect and measure its impact on consumer retention, usage, and pricing policy. Using data from a pricing field experiment for a new telecommunication service, we find that consumers derive lower utility from consumption under a two-part tariff than pay-per-use pricing, resulting in lower retention of customers and lower usage of the service. Specifically, our demand analysis shows that a two-part tariff structure leads to an average decline of 10.5% in the annual retention rate and an average decrease of 38.7% in yearly usage relative to pay-per-use pricing after controlling for income effects. Despite the higher customer churn and lower usage, we find that the two-part tariff is still the profit-maximizing pricing structure. However, our results show that if firms ignore the pricing structure (or access fee) effect, then they would overcharge customers for the access fee and undercharge them for the per-minute price. Translated in terms of profitability, the failure to account for the access fee effect leads to a reduction of 11% in firm profit.

Suggested Citation

  • Raghuram Iyengar & Kamel Jedidi & Skander Essegaier & Peter J. Danaher, 2011. "The Impact of Tariff Structure on Customer Retention, Usage, and Profitability of Access Services," Marketing Science, INFORMS, vol. 30(5), pages 820-836, September.
  • Handle: RePEc:inm:ormksc:v:30:y:2011:i:5:p:820-836
    DOI: 10.1287/mksc.1110.0655
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    8. Preyas S. Desai & Devavrat Purohit & Bo Zhou, 2018. "Allowing Consumers to Bundle Themselves: The Profitability of Family Plans," Marketing Science, INFORMS, vol. 37(6), pages 953-969, November.
    9. Gerpott, Torsten J. & Meinert, Phil, 2018. "Termination notice of mobile network operator customers after a tariff switch: An empirical study of postpaid subscribers in Germany," Telecommunications Policy, Elsevier, vol. 42(3), pages 212-226.
    10. Tianyuan Zhang & Sérgio Moro & Ricardo F. Ramos, 2022. "A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation," Future Internet, MDPI, vol. 14(3), pages 1-19, March.
    11. Anja Lambrecht & Katja Seim & Naufel Vilcassim & Amar Cheema & Yuxin Chen & Gregory Crawford & Kartik Hosanagar & Raghuram Iyengar & Oded Koenigsberg & Robin Lee & Eugenio Miravete & Ozge Sahin, 2012. "Price discrimination in service industries," Marketing Letters, Springer, vol. 23(2), pages 423-438, June.
    12. Zhuojun Gu & Ravi Bapna & Jason Chan & Alok Gupta, 2022. "Measuring the Impact of Crowdsourcing Features on Mobile App User Engagement and Retention: A Randomized Field Experiment," Management Science, INFORMS, vol. 68(2), pages 1297-1329, February.
    13. Kocaman, Barış & Gelper, Sarah & Langerak, Fred, 2023. "Till the cloud do us part: Technological disruption and brand retention in the enterprise software industry," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 316-341.
    14. Rutz, Oliver & Aravindakshan, Ashwin & Rubel, Olivier, 2019. "Measuring and forecasting mobile game app engagement," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 185-199.
    15. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    16. Dowling, Katharina & Manchanda, Puneet & Spann, Martin, 2021. "The existence and persistence of the pay-per-use bias in car sharing services," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 329-342.
    17. Brendan Cushing-Daniels, 2020. "Rethinking Profit-Maximization in Second-Degree Price Discriminating Markets," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(2), pages 223-235, June.
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