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The effect of free sampling strategies on freemium conversion rates

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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.

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References

  • Ariely, D., Huber, J., & Wertenbroch, K. (2005). When do losses loom larger than gains? Journal of Marketing Research, 42(2), 134–138.

    Article  Google Scholar 

  • Armstrong, J. S., & Overton, T. S. (1977). Estimating Nonresponse Bias in Mail Surveys. Journal of Marketing Research, 14(3), 396–402.

    Article  Google Scholar 

  • Bardsley, N. (2010). Experimental Economics: Rethinking the Rules. Princeton University Press.

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Hayes, A. F. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach. New York. NY: Guilford Press.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263–291. doi:10.2307/1914185.

    Article  Google Scholar 

  • 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.

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Kumar, V. (2014). Making" freemium" work. Harvard Business Review, 92(5), 27–29.

    Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • Lee, C., Kumar, V., & Gupta, S. (2013). Designing Freemium: a Model of Consumer Usage, Upgrade, and Referral Dynamics: HBS Working Paper.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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/MIS0742–1222300105

  • Moe, W. W., Fader, P. S. (2004). Dynamic conversion behavior at E-Commerce Sites. Management Science, 50(3), 326–335.

  • Novemsky, N., & Kahneman, D. (2005). The boundaries of loss aversion. Journal of Marketing Research, 42(2), 119–128.

    Article  Google Scholar 

  • Shapiro, C., & Varian, H. R. (1998a). Information Rules: A Strategic Guide to the Network Economy. Boston, MA: Harvard Business School Press.

    Google Scholar 

  • Shapiro, C., & Varian, H. R. (1998b). Versioning: The Smart Way to. Harvard Business Review, (November/December 1998), 106–115.

  • Tversky, A., & Kahneman, D. (1991). Loss aversion in riskless choice: A reference-dependent model. The Quarterly Journal of Economics, 106, 1039–1061.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

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Acknowledgements

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

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Correspondence to Oliver Francis Koch.

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Responsible Editor: Steven Bellman

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Koch, O.F., Benlian, A. The effect of free sampling strategies on freemium conversion rates. Electron Markets 27, 67–76 (2017). https://doi.org/10.1007/s12525-016-0236-z

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  • DOI: https://doi.org/10.1007/s12525-016-0236-z

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