Social Referral Programs for Freemium Platforms

介绍 收入 业务 质量(理念) 营销 互联网隐私 医学 计算机科学 家庭医学 财务 认识论 哲学
作者
Rodrigo Belo,Ting Li
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:68 (12): 8933-8962 被引量:16
标识
DOI:10.1287/mnsc.2022.4301
摘要

We examine how freemium platforms can design social referral programs to encourage growth and engagement without sacrificing revenue. On the one hand, social referral programs generate new referrals from users who would not have paid for the premium features. On the other hand, they also attract new referrals from users who would have paid but prefer to invite others, resulting in more referrals but fewer paying users. We use data from a large-scale randomized field experiment in an online dating platform to assess the effects of adding referrals programs to freemium platforms and changing the referral requirements on users’ behavior, namely, on their decisions to invite, pay, and engage with the platform. We find that introducing referral programs in freemium platforms can significantly contribute to increasing the number of referrals at the expense of revenue. Platforms can avoid the loss in revenue by reserving some premium features exclusively for paying users. We also find that increasing referral requirements in social referral programs can work as a double-edged sword. Increasing the referral threshold results in more referrals and higher total revenue. Yet these benefits appear to come at a cost. Users become less engaged, decreasing the value of the platform for all users. We explore two mechanisms that help to explain the differences in users’ social engagement. Finally, and contrary to prior findings, we find that the quality of the referrals is not affected by the referral requirements. We discuss the theoretical and practical implications of our research. This paper was accepted by Chris Forman, information systems. Funding: This work was funded by Fundac¸ão para a Ciência e a Tecnologia [UID/ ECO/00124/2019, UIDB/00124/2020, UIDP/00124/2020, and Social Sciences DataLab - PINFRA/22209/2016], POR Lisboa, and POR Norte [Social Sciences DataLab, PINFRA/22209/2016]. Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2022.4301 .
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
派大星完成签到,获得积分10
2秒前
西西完成签到,获得积分10
3秒前
niNe3YUE应助Gonboo采纳,获得10
4秒前
Jasper应助xyq采纳,获得10
5秒前
看文献完成签到,获得积分10
7秒前
深年完成签到,获得积分10
7秒前
mst完成签到,获得积分10
7秒前
8秒前
医研发布了新的文献求助10
8秒前
宁annie完成签到,获得积分10
9秒前
10秒前
学术牛马完成签到,获得积分10
10秒前
12秒前
要减肥的卷心菜完成签到 ,获得积分10
12秒前
大方的小虾米应助zy采纳,获得10
13秒前
怕黑面包完成签到 ,获得积分10
13秒前
lxg完成签到,获得积分10
13秒前
113发布了新的文献求助10
15秒前
甲甲呱呱完成签到 ,获得积分10
15秒前
16秒前
赵云发布了新的文献求助10
17秒前
娷静完成签到 ,获得积分10
17秒前
鲨鱼辣椒完成签到,获得积分10
18秒前
机灵石头完成签到,获得积分10
18秒前
Ava应助ZXCCXZ采纳,获得10
19秒前
19秒前
清脆迎曼完成签到,获得积分10
20秒前
mym完成签到,获得积分10
21秒前
兰是一个信仰完成签到,获得积分10
23秒前
888应助西山菩提采纳,获得30
23秒前
天水张家辉完成签到,获得积分10
24秒前
01231009yrjz完成签到,获得积分10
24秒前
howudoin完成签到,获得积分10
24秒前
CYYDNDB完成签到 ,获得积分10
24秒前
CipherSage应助研友_nxwN7L采纳,获得10
25秒前
科研通AI6应助赵云采纳,获得10
25秒前
26秒前
害羞的振家完成签到,获得积分10
26秒前
诚心太君发布了新的文献求助10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5600096
求助须知:如何正确求助?哪些是违规求助? 4685809
关于积分的说明 14839646
捐赠科研通 4674865
什么是DOI,文献DOI怎么找? 2538486
邀请新用户注册赠送积分活动 1505659
关于科研通互助平台的介绍 1471109