Promotional Inventory Displays: An Empirical Analysis Using IoT Data

Author:

Zeng Jacob Z.1ORCID,Agarwal Ashish2ORCID,Stamatopoulos Ioannis2ORCID

Affiliation:

1. School of Business Administration, Gonzaga University, Spokane, Washington 99258;

2. McCombs School of Business, University of Texas at Austin, Austin, Texas 78705

Abstract

Problem definition: Despite their widespread use, promotional inventory displays’ campaign execution is opaque. Brands (manufacturers) can only verify in-store display presence through manual, on-site audits, which are costly and limited in scope. This lack of visibility into execution makes it difficult for brands to quantify the sales impact of displays and properly evaluate campaign performance. Methodology/results: We use Internet-of-Things (IoT)-generated data on the real-time location of about 15,000 displays from 10 display campaigns in about 5,000 stores of a Fortune 500 retail chain, paired with the stores’ point-of-sale (POS) data between September 2017 and March 2018, to measure the operational execution and effectiveness of display campaigns. First, we find that campaigns are poorly executed: 29% of displays never made it to a store’s floor, and those that made it only spent 62% of the campaign there. Second, we find that poor execution deprives brands of substantial sales, especially during campaign weeks: placing a display on the floor during an arbitrary week increases the targeted products’ sales by 7.3%, and placing it on the floor during a campaign week boosts sales by another 2.3%. Managerial implications: Our results enable brands to optimize investments in promotional display campaigns and execution. We project that brands would suffer a 3.1% dollar sales decrease during campaign weeks by discontinuing current campaigns. However, they could achieve up to a 6.9% dollar sales increase during campaign weeks through improved execution. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0291 .

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3