2016
DOI: 10.2139/ssrn.2888471
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Freemium Pricing: Evidence from a Large-scale Field Experiment

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 8 publications
(5 citation statements)
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References 38 publications
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“…I argue and find that the freemium model harms consumers' perceptions of value and that the model's temporally decoupled transaction structure reduces consumers' WTP for priced items such as added functionality or extra content. These findings add a competitive lens to studies in marketing and information systems, which focused mostly on converting free users to paying consumers through products' design features (Lee et al, ; Pauwels & Weiss, ; Runge et al, ; Voigt & Hinz, ; Wagner et al, ), freemium as a driver of adoption (Arora et al, ; Liu et al, ), and the effect of freemium on network externalities (Jiang & Sarkar, ). Knowing how the freemium business model competes with other digital business models clearly holds managerial relevance, as firms do not operate in a vacuum.…”
Section: Discussionmentioning
confidence: 86%
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“…I argue and find that the freemium model harms consumers' perceptions of value and that the model's temporally decoupled transaction structure reduces consumers' WTP for priced items such as added functionality or extra content. These findings add a competitive lens to studies in marketing and information systems, which focused mostly on converting free users to paying consumers through products' design features (Lee et al, ; Pauwels & Weiss, ; Runge et al, ; Voigt & Hinz, ; Wagner et al, ), freemium as a driver of adoption (Arora et al, ; Liu et al, ), and the effect of freemium on network externalities (Jiang & Sarkar, ). Knowing how the freemium business model competes with other digital business models clearly holds managerial relevance, as firms do not operate in a vacuum.…”
Section: Discussionmentioning
confidence: 86%
“…Despite its impact on the entrepreneurial landscape, however, we know very little about how the freemium business model affects firms' value creation and value capture or how it competes with other business models in the digital economy. This article links with studies in the fields of marketing (Arora, ter Hofstede, & Mahajan, ; Lee, Kumar, & Gupta, ; Pauwels & Weiss, ) and information systems (Jiang & Sarkar, ; Liu, Au, & Choi, ; Runge, Wagner, Claussen, & Klapper, ; Voigt & Hinz, ; Wagner, Benlian, & Hess, ) on the micro dynamics of the freemium business model. It adds to these bodies of work by analyzing the freemium business model through a competitive dynamics lens.…”
Section: Introductionmentioning
confidence: 94%
“…They allow for repeat purchases, the number and monetary value of which is at the users' discretion (compare to [10,16]). Only a small subset of users, usually in the single digit percent space [1,9], ever make a purchase. Data are hence highly imbalanced [25] and there is abundant non-purchase related data that describe user behavior in depth and that can be valuable for prediction [1].…”
Section: Predicting Ltv In Non-contractual Freemium Settingsmentioning
confidence: 99%
“…[2] further find them to perform well for user behavior prediction in freemium games. [4,9,30,31] all highlight the relevance of social interaction for engagement, monetization and virality in freemium games and products more generally. While we deem it highly relevant to investigate how social interaction shapes users' LTV in freemium settings and how one can reasonably quantify positive externalities such as viral activity to include them in LTV, the focus of the present study is on monetary LTV.…”
Section: Predicting Ltv In Non-contractual Freemium Settingsmentioning
confidence: 99%
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