IDEAS home Printed from https://ideas.repec.org/a/pal/jmarka/v11y2023i4d10.1057_s41270-023-00212-y.html
   My bibliography  Save this article

How to reduce termination on freemium platforms—literature review and empirical analysis

Author

Listed:
  • Philipp Brüggemann

    (FernUniversität in Hagen)

  • Nina Lehmann-Zschunke

    (FernUniversität in Hagen)

Abstract

In light of increasing digitization and monetization, the freemium pricing model is being used more and more frequently. Against a backdrop of increasing competition and rising costs to attract new users, freemium platform providers need to know how to reduce termination rates. We analyze several influencing factors of termination rates using extensive data over a 5-year period from a freemium platform on sport and breeding horses. We find that shorter contract terms, increasing involvement, and increasing platform-specific content reduces termination rates. Furthermore, freemium providers should pay special attention to the interaction of video views and number of last logins. While both variables individually have no significant influence, the interaction effect positively affects termination rates. The higher both the number of video views and the number of last logins, the higher the termination rate. For freemium providers this finding leads to a dilemma. In short term (within a week), they do not know if a premium user has logged in for the last time and is willing to terminate. Still, this result is highly relevant for freemium providers. They should use our results to analyze last logins and video views ex post. In this way, they can learn about their customers’ behavior and find out how to reduce the termination rate in the future.

Suggested Citation

  • Philipp Brüggemann & Nina Lehmann-Zschunke, 2023. "How to reduce termination on freemium platforms—literature review and empirical analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 707-721, December.
  • Handle: RePEc:pal:jmarka:v:11:y:2023:i:4:d:10.1057_s41270-023-00212-y
    DOI: 10.1057/s41270-023-00212-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41270-023-00212-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41270-023-00212-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    2. Wagner, T. & Benlian, Alexander & Hess, Thomas, 2014. "Converting freemium customers from free to premium - The role of the perceived premium fit in the case of music as a service," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 66722, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Farrell, Joseph & Klemperer, Paul, 2007. "Coordination and Lock-In: Competition with Switching Costs and Network Effects," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 31, pages 1967-2072, Elsevier.
    4. Wirtz, Jochen & Bateson, John E. G., 1999. "Consumer Satisfaction with Services: Integrating the Environment Perspective in Services Marketing into the Traditional Disconfirmation Paradigm," Journal of Business Research, Elsevier, vol. 44(1), pages 55-66, January.
    5. Haruvy, Ernan & Prasad, Ashutosh, 1998. "Optimal product strategies in the presence of network externalities," Information Economics and Policy, Elsevier, vol. 10(4), pages 489-499, December.
    6. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    7. Hamari, Juho & Hanner, Nicolai & Koivisto, Jonna, 2020. ""Why pay premium in freemium services?" A study on perceived value, continued use and purchase intentions in free-to-play games," International Journal of Information Management, Elsevier, vol. 51(C).
    8. Wagner, C. & Benlian, Alexander & Hess, Thomas, 2014. "Converting freemium customers from free to premium - The role of the perceived premium fit in the case of music as a service," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63495, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Wagner, T. & Benlian, Alexander & Hess, Thomas, 2014. "Converting freemium customers from free to premium - The role of the perceived premium fit in the case of music as a service," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 69900, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Nicholas Ross, 2018. "Customer retention in freemium applications," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(4), pages 127-137, December.
    11. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    12. Oliver Francis Koch & Alexander Benlian, 2017. "The effect of free sampling strategies on freemium conversion rates," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(1), pages 67-76, February.
    13. Trambak Banerjee & Gourab Mukherjee & Shantanu Dutta & Pulak Ghosh, 2020. "A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(530), pages 538-554, April.
    14. 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.
    15. Voigt, Sebastian & Hinz, Oliver, 2016. "Making Digital Freemium Business Models a Success - Predicting Customers' Lifetime Value via Initial Purchase Information," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84850, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    16. Koch, Oliver Francis & Benlian, Alexander, 2017. "The Effect of Free Sampling Strategies on Premium Conversion Rates," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 85457, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    17. Bikram Karmakar & Peng Liu & Gourab Mukherjee & Hai Che & Shantanu Dutta, 2022. "Improved retention analysis in freemium role‐playing games by jointly modelling players’ motivation, progression and churn," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 102-133, January.
    18. Hamari, Juho & Hanner, Nicolai & Koivisto, Jonna, 2017. "Service quality explains why people use freemium services but not if they go premium: An empirical study in free-to-play games," International Journal of Information Management, Elsevier, vol. 37(1), pages 1449-1459.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martin Adam & Konstantin Roethke & Alexander Benlian, 2022. "Gamblified digital product offerings: an experimental study of loot box menu designs," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 971-986, June.
    2. Falko Lucht, 2019. "The Success of the Freemium Business Model. How Riot Games flourishes with a free to play game," Manager Journal, Faculty of Business and Administration, University of Bucharest, vol. 29(1), pages 114-124, December.
    3. Biraglia, Alessandro & Bowen, Karen T. & Gerrath, Maximilian H.E.E. & Musarra, Giuseppe, 2022. "How need for closure and deal proneness shape consumers’ freemium versus premium price choices," Journal of Business Research, Elsevier, vol. 143(C), pages 157-170.
    4. Xiaoyan Chen & Wei Geng, 2022. "Enroll now, pay later: optimal pricing and nudge efforts for massive-online-open-courses providers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 1003-1018, June.
    5. Zijun (June) Shi & Kaifu Zhang & Kannan Srinivasan, 2019. "Freemium as an Optimal Strategy for Market Dominant Firms," Marketing Science, INFORMS, vol. 38(1), pages 150-169, January.
    6. Kang Li & Jingwei Zhang & Lunchuan Zhang, 2021. "Optimal Software Feature-Limited Freemium Model Design: A New Consumer Learning Theoretical Framework," Mathematics, MDPI, vol. 9(9), pages 1-24, April.
    7. Danckwerts, Sebastian & Meißner, Lasse & Krampe, Caspar, 2019. "Examining User Experience of Conversational Agents in Hedonic Digital Services – Antecedents and the Role of Psychological Ownership," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 3(3), pages 111-125.
    8. Tang, Hua & Chen, Jing & Ai, Xingzheng & Li, Xiaojing & He, Haojia, 2023. "First-party content decision under competitive hardware/software platforms: Free vs. charge," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1068-1083.
    9. Oliver Francis Koch & Alexander Benlian, 2017. "The effect of free sampling strategies on freemium conversion rates," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(1), pages 67-76, February.
    10. Wann-Yih Wu & Phan Thi Phu Quyen & Adriana A. Amaya Rivas, 2017. "How e-servicescapes affect customer online shopping intention: the moderating effects of gender and online purchasing experience," Information Systems and e-Business Management, Springer, vol. 15(3), pages 689-715, August.
    11. Luís Cabral, 2011. "Dynamic Price Competition with Network Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 83-111.
    12. Numminen, Emil & Sällberg, Henrik & Wang, Shujun, 2022. "The impact of app revenue model choices for app revenues: A study of apps since their initial App Store launch," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 325-336.
    13. Haruvy, Ernan & Prasad, Ashutosh, 2005. "Freeware as a competitive deterrent," Information Economics and Policy, Elsevier, vol. 17(4), pages 513-534, October.
    14. P.J. Lamberson & Scott E. Page, 2018. "First mover or higher quality? Optimal product strategy in markets with positive feedbacks," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(1), pages 40-52, March.
    15. Hamari, Juho & Hanner, Nicolai & Koivisto, Jonna, 2017. "Service quality explains why people use freemium services but not if they go premium: An empirical study in free-to-play games," International Journal of Information Management, Elsevier, vol. 37(1), pages 1449-1459.
    16. Ramjerdi, Farideh & Fearnley, Nils, 2014. "Risk and irreversibility of transport interventions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 60(C), pages 31-39.
    17. Hongshuang (Alice) Li, 2022. "Converting free users to paid subscribers in the SaaS context: The impact of marketing touchpoints, message content, and usage," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2185-2203, May.
    18. Le Wang & Paul Benjamin Lowry & Xin (Robert) Luo & Han Li, 2023. "Moving Consumers from Free to Fee in Platform-Based Markets: An Empirical Study of Multiplayer Online Battle Arena Games," Information Systems Research, INFORMS, vol. 34(1), pages 275-296, March.
    19. Corrado Benassi & Marcella Scrimitore, 2017. "Income Distribution in Network Markets," Journal of Industry, Competition and Trade, Springer, vol. 17(3), pages 251-271, September.
    20. Felix B. Buesching & Dennis M. Steininger & Daniel J. Veit, 2023. "Governing digital crisis responses: platform standards and the dilemma of COVID-19 contact tracing," Journal of Business Economics, Springer, vol. 93(1), pages 267-323, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jmarka:v:11:y:2023:i:4:d:10.1057_s41270-023-00212-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.