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Electronic Markets

, Volume 27, Issue 1, pp 67–76 | Cite as

The effect of free sampling strategies on freemium conversion rates

  • Oliver Francis KochEmail author
  • Alexander Benlian
Research Paper

Abstract

Freemium business models, where companies offer a free basic and a value-enhanced paid version of a product, have become ubiquitous across software, games and a broad range of web services. Despite the many benefits of freemium, most firms suffer from too few premium subscribers (3–5 %), which challenges their profitability. Although free trials have helped improve premium conversions, research hitherto has paid little attention towards what works effectively. Therefore, we examine the effect of two common free trial strategies on consumers’ conversion likelihood: Freefirst, where consumers start in the free and then opt into a trial of the premium version and Premiumfirst, where things are experienced in reverse order. Based on a contest-based online experiment with 225 subjects, our analysis reveals that in contrast to Freefirst, Premiumfirst significantly increases conversion propensity and that this positive effect is greater when the premium and the free version are more similar.

Keywords

Freemium business models Premium conversion Free trial strategies Product value discrepancy Loss aversion Randomized online experiment 

JEL Classification

2.20.3 Experiment 3.080 Consumer behavior 3.120 E-Business 5.110 Services 

Notes

Acknowledgements

The second author gratefully acknowledges financial support from the Werner-Jackstaedt-Foundation in Germany (Grant No. 010103/56300720).

References

  1. Ariely, D., Huber, J., & Wertenbroch, K. (2005). When do losses loom larger than gains? Journal of Marketing Research, 42(2), 134–138.CrossRefGoogle Scholar
  2. Armstrong, J. S., & Overton, T. S. (1977). Estimating Nonresponse Bias in Mail Surveys. Journal of Marketing Research, 14(3), 396–402.CrossRefGoogle Scholar
  3. Bardsley, N. (2010). Experimental Economics: Rethinking the Rules. Princeton University Press.Google Scholar
  4. Benlian, A. (2015). Web personalization cues and their differential effects on user assessments of website value. Journal of Management Information Systems, 32(1), 225–260.CrossRefGoogle Scholar
  5. Cheng, H. K., & Tang, Q. C. (2010). Free trial or no free trial: Optimal software product design with network effects. European Journal of Operational Research, 205(2), 437–447.CrossRefGoogle Scholar
  6. Chiang, K.-P., & Dholakia, R. R. (2003). Factors driving consumer intention to shop online: an empirical investigation. Journal of Consumer Psychology, 13(1), 177–183.CrossRefGoogle Scholar
  7. Dörr, J., Wagner, D.-V. T., Benlian, A., & Hess, T. (2013). Music as a Service as an Alternative to Music Piracy? Business & Information Systems Engineering, 5(6), 383–396.CrossRefGoogle Scholar
  8. Hayes, A. F. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach. New York. NY: Guilford Press.Google Scholar
  9. Ho, S. Y., Bodoff, D., & Tam, K. Y. (2011). Timing of adaptive web personalization and its effects on online consumer behavior. Information Systems Research, 22(3), 660–679.CrossRefGoogle Scholar
  10. Jiang, Z., & Sarkar, S. (2009). Speed matters: The role of free software offer in software diffusion. Journal of Management Information Systems, 26(3), 207–240.CrossRefGoogle Scholar
  11. Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263–291. doi: 10.2307/1914185.CrossRefGoogle Scholar
  12. Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1990). Experimental tests of the endowment effect and the Coase theorem. Journal of Political Economy, 1325–1348. doi: 10.1086/261737.
  13. Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias. Journal of Economic Perspectives, 5(1), 193–206.CrossRefGoogle Scholar
  14. Koch, O. F., & Benlian, A. (2015). Promotional tactics for online viral marketing campaigns: how scarcity and personalization affect seed stage referrals. Journal of Interactive Marketing, 32, 37–52.CrossRefGoogle Scholar
  15. Kumar, V. (2014). Making" freemium" work. Harvard Business Review, 92(5), 27–29.Google Scholar
  16. Lambert, D. M., & Harrington, T. C. (1990). Measuring Nonresponse Bias in Customer Service Mail Surveys. Journal of Business Logistics, 11(2), 5–25.Google Scholar
  17. Lee, Y.-J., & Tan, Y. (2013). Effects of different types of free trials and ratings in sampling of consumer software: An empirical study. Journal of Management Information Systems, 30(3), 213–246.CrossRefGoogle Scholar
  18. Lee, C., Kumar, V., & Gupta, S. (2013). Designing Freemium: a Model of Consumer Usage, Upgrade, and Referral Dynamics: HBS Working Paper.Google Scholar
  19. Liu, C. Z., Au, Y. A., & Choi, H. S. (2014). Effects of Freemium Strategy in the Mobile App Market: An Empirical Study of Google Play. Journal of Management Information Systems, 31(3), 326–354.CrossRefGoogle Scholar
  20. Lowry, P. B., Moody, G. D., Galletta, D. F., & Vance, A. (2013). The Drivers in the Use of Online Whistle-Blowing Reporting Systems. Journal of Management Information Systems, 30(1), 153–190. doi:10.2753/MIS0742–1222300105Google Scholar
  21. Moe, W. W., Fader, P. S. (2004). Dynamic conversion behavior at E-Commerce Sites. Management Science, 50(3), 326–335.Google Scholar
  22. Novemsky, N., & Kahneman, D. (2005). The boundaries of loss aversion. Journal of Marketing Research, 42(2), 119–128.CrossRefGoogle Scholar
  23. Shapiro, C., & Varian, H. R. (1998a). Information Rules: A Strategic Guide to the Network Economy. Boston, MA: Harvard Business School Press.Google Scholar
  24. Shapiro, C., & Varian, H. R. (1998b). Versioning: The Smart Way to. Harvard Business Review, (November/December 1998), 106–115.Google Scholar
  25. Tversky, A., & Kahneman, D. (1991). Loss aversion in riskless choice: A reference-dependent model. The Quarterly Journal of Economics, 106, 1039–1061.CrossRefGoogle Scholar
  26. Veit, D. J., Clemons, E. K., Benlian, A., Buxmann, P., Hess, T., Kundisch, D., Leimeister, J. M., Loos, P., & Spann, M. (2014). Business models – an information systems research agenda. Business & Information Systems Engineering, 6(1), 45–53.CrossRefGoogle Scholar
  27. Wagner, T. M., Benlian, A., & Hess, T. (2014). Converting freemium customers from free to premium—the role of the perceived premium fit in the case of music as a service. Electronic Markets, 24(4), 259–268.CrossRefGoogle Scholar

Copyright information

© Institute of Applied Informatics at University of Leipzig 2016

Authors and Affiliations

  1. 1.Chair of Information Systems & Electronic ServicesDarmstadt University of TechnologyDarmstadtGermany

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