The Value of Online Interactions for Store Execution

Problem definition: Omnichannel retailers interact with customers both online and offline. So far, they have used the richer information available—gathered from customer interactions across digital and physical channels—to optimize the sales process by designing the right channel and supply chain structures and by personalizing offers, pricing, and promotions. We advance an additional dimension of omnichannel value: retailers can use online clickstreams to better understand customer needs and optimize store layouts to maximize webrooming conversion, which we define as the ratio of sales to webrooming activity. Methodology/results: We develop a model in which in-store purchases depend on the customer’s shopping list and the effort required to locate and reach the products within the store. Category location in the store thus drives the likelihood of a sale. We then apply our model to a large home improvement retailer and find that shoppers’ preferences are revealed by nearby online traffic and hard-to-reach locations lead to lower webrooming conversion. Finally, we optimize category location assignments using our demand model and find that putting higher-interest and higher-price items in the most effective locations can increase revenues by about 2%–5% in comparison with models that ignore online clicks. Managerial implications: We show how using online clickstream information for optimizing offline operations can create significant value. More fundamentally, our results provide a word of caution that in some retailing segments such as home improvement, longer in-store paths might not necessarily be better. Funding: V. Martínez-de-Albéniz acknowledges the financial support provided by the Agencia Estatal de Investigación (AEI) from the Spanish Ministry of Science and Innovation [Grant PID2020-116135GB-I00 MCIN/AEI/10.13039/501100011033]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2024.1290 .

Authors

Institutions

Publication Details

Journal
Manufacturing & Service Operations Management
Published
2025-07-18
DOI
https://doi.org/10.1287/msom.2024.1290
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Value of Online Interactions for Store Execution

Victor Martínez‐de‐Albéniz, Borja Apaolaza, Felipe Caro
1 links
Manufacturing & Service Operations Management
Consumer Retail Behavior Studies
article

The Value of Online Interactions for Store Execution

Victor Martínez‐de‐Albéniz, Borja Apaolaza, Felipe Caro
article en

Abstract

Problem definition: Omnichannel retailers interact with customers both online and offline. So far, they have used the richer information available—gathered from customer interactions across digital and physical channels—to optimize the sales process by designing the right channel and supply chain structures and by personalizing offers, pricing, and promotions. We advance an additional dimension of omnichannel value: retailers can use online clickstreams to better understand customer needs and optimize store layouts to maximize webrooming conversion, which we define as the ratio of sales to webrooming activity. Methodology/results: We develop a model in which in-store purchases depend on the customer’s shopping list and the effort required to locate and reach the products within the store. Category location in the store thus drives the likelihood of a sale. We then apply our model to a large home improvement retailer and find that shoppers’ preferences are revealed by nearby online traffic and hard-to-reach locations lead to lower webrooming conversion. Finally, we optimize category location assignments using our demand model and find that putting higher-interest and higher-price items in the most effective locations can increase revenues by about 2%–5% in comparison with models that ignore online clicks. Managerial implications: We show how using online clickstream information for optimizing offline operations can create significant value. More fundamentally, our results provide a word of caution that in some retailing segments such as home improvement, longer in-store paths might not necessarily be better. Funding: V. Martínez-de-Albéniz acknowledges the financial support provided by the Agencia Estatal de Investigación (AEI) from the Spanish Ministry of Science and Innovation [Grant PID2020-116135GB-I00 MCIN/AEI/10.13039/501100011033]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2024.1290 .

Manufacturing & Service Operations ManagementVol. 27(5)
University of California, Los Angeles (US), IESE Business School (ES), Anderson University - South Carolina (US), University of Pennsylvania (US), Universidad de Navarra (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 74%
Consumer Retail Behavior Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.