{"title":"EXPRESS: Wait for Free: A Consumption-Decelerating Promotion for Serialized Digital Media","authors":"Jangwon Choi, Inyoung Chae, Fred Feinberg","doi":"10.1177/00222437241270194","DOIUrl":null,"url":null,"abstract":"Promotions for digital goods have typically focused on enticing users to hasten their consumption. Here, we investigate a novel deceleration-incentivizing promotional policy, “Wait For Free” (WFF), applied to serialized digital content – sequences of interconnected episodes – monetized via episode-level paywalls. Specifically, customers can sample early episodes of promoted series for free, and can continue to do so by waiting a pre-specified time; or for those unwilling to wait, by paying. WFF can draw users to start viewing a promoted series, and generate revenue through two sources: impatient users opting to pay to consume the next episode immediately; and additional users continuing through to paid-only episodes at the end. We analyze large-scale viewership data from a platform that enacted WFF for digital comics. A comic-level Difference-in-Differences (DiD) analysis provides robust evidence that WFF boosts paid viewership for the promoted series, and the degree of lift varies by user type and over time. A more granular episode-level analysis incorporating inter-comic spillovers and promotional lift heterogeneity suggests that WFF can boost net-of-cannibalization revenue at the platform level: specifically, the model-optimized set of promoted comics performs roughly 18% better than the firm-enacted one and 25% better than the no-promotion baseline; furthermore, WFF and paid-only episodes each receive nontrivial degrees of lift, 70% and 59% respectively.","PeriodicalId":48465,"journal":{"name":"Journal of Marketing Research","volume":"65 1","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Marketing Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/00222437241270194","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Promotions for digital goods have typically focused on enticing users to hasten their consumption. Here, we investigate a novel deceleration-incentivizing promotional policy, “Wait For Free” (WFF), applied to serialized digital content – sequences of interconnected episodes – monetized via episode-level paywalls. Specifically, customers can sample early episodes of promoted series for free, and can continue to do so by waiting a pre-specified time; or for those unwilling to wait, by paying. WFF can draw users to start viewing a promoted series, and generate revenue through two sources: impatient users opting to pay to consume the next episode immediately; and additional users continuing through to paid-only episodes at the end. We analyze large-scale viewership data from a platform that enacted WFF for digital comics. A comic-level Difference-in-Differences (DiD) analysis provides robust evidence that WFF boosts paid viewership for the promoted series, and the degree of lift varies by user type and over time. A more granular episode-level analysis incorporating inter-comic spillovers and promotional lift heterogeneity suggests that WFF can boost net-of-cannibalization revenue at the platform level: specifically, the model-optimized set of promoted comics performs roughly 18% better than the firm-enacted one and 25% better than the no-promotion baseline; furthermore, WFF and paid-only episodes each receive nontrivial degrees of lift, 70% and 59% respectively.
期刊介绍:
JMR is written for those academics and practitioners of marketing research who need to be in the forefront of the profession and in possession of the industry"s cutting-edge information. JMR publishes articles representing the entire spectrum of research in marketing. The editorial content is peer-reviewed by an expert panel of leading academics. Articles address the concepts, methods, and applications of marketing research that present new techniques for solving marketing problems; contribute to marketing knowledge based on the use of experimental, descriptive, or analytical techniques; and review and comment on the developments and concepts in related fields that have a bearing on the research industry and its practices.