How Does Prepopulating Search Bars with Keywords Affect Online Consumer Behavior? A Field Experiment

情感(语言学) 广告 领域(数学) 营销 消费者行为 心理学 业务 计算机科学 微观经济学 社会心理学 经济 数学 沟通 纯数学
作者
Chenshuo Sun
出处
期刊:Marketing Science [Institute for Operations Research and the Management Sciences]
卷期号:44 (6): 1217-1231
标识
DOI:10.1287/mksc.2024.0793
摘要

Search aid technologies, especially prepopulated search bars, are increasingly being adopted by major players in the fast-growing e-commerce industry. Yet, surprisingly little is known about the impact of prepopulating search bars with keywords on online consumer journey. In this study, I design and run a randomized field experiment on a large e-commerce platform involving 72,587 consumers who were randomly exposed to three types of keywords prefilled in the search bar. Individual consumer–level analyses reveal that prepopulating trending category keywords encourages users to discover and buy items from the suggested category without reducing queries using self-entered keywords, ultimately leading to a 10.4% (8.8%) increase in purchase incidence (spending) compared with the counterfactual outcomes when the search bar is empty. Prepopulating personalized keywords brings about more focused product searching within the category recently browsed by users, resulting in a 21% (17%) increase in purchase incidence (spending), although this is offset by the negative effect of a reduction in queries using self-entered keywords. Exposure to niche category keywords is found to have little impact. This study also finds that a prepopulated search bar does not cannibalize the other navigation tool, making it a beneficial addition to the focal e-commerce platform’s business outcomes. These findings, contributing to the literature on consumer search and product recommendation strategies for digital platforms, carry timely implications for e-commerce managers. History: Catherine Tucker served as the senior editor. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mksc.2024.0793 .
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
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
量子星尘发布了新的文献求助30
刚刚
CHEN98发布了新的文献求助10
2秒前
5秒前
6秒前
占那个完成签到 ,获得积分10
6秒前
wzhang完成签到,获得积分10
6秒前
6秒前
泡椒完成签到,获得积分10
7秒前
7秒前
ding应助科研通管家采纳,获得10
7秒前
7秒前
ding应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
7秒前
科研通AI6应助科研通管家采纳,获得10
7秒前
CodeCraft应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
CodeCraft应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
赘婿应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
赘婿应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
斯文败类应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
斯文败类应助科研通管家采纳,获得10
7秒前
7秒前
研友_VZG7GZ应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
7秒前
田様应助科研通管家采纳,获得10
7秒前
7秒前
田様应助科研通管家采纳,获得10
7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
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
从k到英国情人 1500
Ägyptische Geschichte der 21.–30. Dynastie 1100
„Semitische Wissenschaften“? 1100
Real World Research, 5th Edition 800
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 5734681
求助须知:如何正确求助?哪些是违规求助? 5355580
关于积分的说明 15327525
捐赠科研通 4879249
什么是DOI,文献DOI怎么找? 2621785
邀请新用户注册赠送积分活动 1570998
关于科研通互助平台的介绍 1527750