Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses

仓库 电子商务 业务 流量(数学) 计算机科学 数据库 营销 万维网 物理 机械
作者
Brian Rongqing Han,Leon Yang Chu,Tianshu Sun,Lixia Wu
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
被引量:1
标识
DOI:10.2139/ssrn.3566756
摘要

Many e-commerce platforms have established their warehouses to facilitate the storage and delivery of packages. This paper studies a novel business practice---cross-sampling through e-commerce warehouses---that allows physical free samples provided by one (sampling) brand to be distributed with the packages of another unrelated (distributing) brand. In close collaboration with Alibaba, we implement cross-sampling through a large-scale field experiment, in which more than 55,000 free samples are distributed, to empirically examine its effectiveness in driving online sales of the sampling brand. First, we find significant increases in store visits of the sampling brand both in the short term and long term up to 14 months afterward. There is also a significant long-term increase in sales for new customers, suggesting that cross-sampling is effective in acquiring new customers. Second, our results suggest that the effect comes from customers' repeated purchases of the sampled item. Cross-sampling of a particular item leads to a positive spillover to other products within the sampling brand's online store and the indirect channel that also sells products of the sampling brand. The results indicate that cross-sampling promotes the sampling brand through customers' positive experiences with the physical free samples. Finally, we illustrate the potential for personalization for cross-sampling. Cross-sampling is more effective for customers who recently viewed related products, are less price sensitive, or just purchased non-essential products from the distributing brand. By taking into account the interaction among brands, items, and customers, we can further improve the profitability of cross-sampling by targeting the ``right" packages. Overall, as cross-sampling is scalable, effective, and flexible, we demonstrate the high potential of a new business practice that combines offline logistics control and online information to generate additional business value for customers, brands, and the platform.

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
慕青应助Irena采纳,获得10
1秒前
1秒前
Eagler67完成签到,获得积分20
1秒前
2秒前
2秒前
2秒前
昔年若许完成签到,获得积分10
3秒前
3秒前
幽默枫完成签到,获得积分10
3秒前
美丽的小羊完成签到,获得积分10
4秒前
邱琳完成签到,获得积分10
4秒前
5秒前
润润轩轩发布了新的文献求助10
5秒前
wait完成签到,获得积分10
5秒前
6秒前
香蕉觅云应助张_5238采纳,获得10
6秒前
阿辉发布了新的文献求助10
6秒前
科目三应助大溺采纳,获得10
6秒前
弹剑作歌完成签到,获得积分10
6秒前
6秒前
领导范儿应助LJW采纳,获得10
6秒前
6秒前
popo完成签到 ,获得积分10
7秒前
棉花糖发布了新的文献求助20
7秒前
zzzxhhr完成签到,获得积分10
7秒前
7秒前
wfs完成签到,获得积分10
7秒前
8秒前
超级大定春完成签到,获得积分20
8秒前
Pearl完成签到,获得积分20
9秒前
Stella发布了新的文献求助10
9秒前
10秒前
CodeCraft应助迅速的晟睿采纳,获得10
10秒前
10秒前
10秒前
11秒前
特务兔完成签到 ,获得积分10
11秒前
苏打发布了新的文献求助10
11秒前
11秒前
小马甲应助自觉梦菲采纳,获得10
11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
Fermented Coffee Market 2000
A Modern Guide to the Economics of Crime 500
PARLOC2001: The update of loss containment data for offshore pipelines 500
Critical Thinking: Tools for Taking Charge of Your Learning and Your Life 4th Edition 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5271078
求助须知:如何正确求助?哪些是违规求助? 4428940
关于积分的说明 13786582
捐赠科研通 4306892
什么是DOI,文献DOI怎么找? 2363309
邀请新用户注册赠送积分活动 1358974
关于科研通互助平台的介绍 1321910