IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v44y2025i4p820-837.html

Close a Store to Open a Pandora’s Box? The Effects of Store Closure on Sales, Omnichannel Shopping, and Mobile App Usage

Author

Listed:
  • Taotao Ye

    (Costello College of Business, George Mason University, Fairfax, Virginia 22030)

  • Venkatesh (Venky) Shankar

    (Brierley Institute of Customer Engagement, Cox School of Business, Southern Methodist University, Dallas, Texas 75275)

Abstract

What are the causal effects of the closure of a store on a retail chain’s overall, offline, and online sales? We address this central research question using sales, shopper transaction, and mobile app usage data from a large retail chain that closed 34 stores across states in a month. We use the difference-in-differences approach, creating propensity score-matched control counties and controlling for selection. We examine potential moderators of these effects and underlying mechanisms using individual shopper-level and mobile app user-level data, including analyzing app engagement through topic modeling. Our findings reveal that closing a store opens a Pandora’s box in that it triggers significant net monthly sales loss of $209,317 (more than the average monthly sales of the closed store), representing 18.7% of the retailer’s net sales in the county with the closed store because of spillover effects on other channel purchases by the retailer’s customers in that county. The numbers of the retailer’s active customers, new customers, active app users, new app users, and their mobile app engagement all decline postclosure. Store closure has a negative spillover effect on even nearby shoppers who never shopped at the closed store. Loyal shoppers among nonvisitors to the closed store and app users are more tolerant of store closure than other shoppers. To mitigate adverse effects, retail chains can strategically choose stores closer to other stores in the chain, with a high percentage of in-store discounts and online sales, and a low value of product returns to close. Additionally, they can redirect shoppers in affected counties to the chain’s nearby stores and online (in particular, the mobile app) by offering discounts and promoting store and product information in the app.

Suggested Citation

  • Taotao Ye & Venkatesh (Venky) Shankar, 2025. "Close a Store to Open a Pandora’s Box? The Effects of Store Closure on Sales, Omnichannel Shopping, and Mobile App Usage," Marketing Science, INFORMS, vol. 44(4), pages 820-837, July.
  • Handle: RePEc:inm:ormksc:v:44:y:2025:i:4:p:820-837
    DOI: 10.1287/mksc.2022.0450
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.2022.0450
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2022.0450?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ali Umut Guler, 2018. "Inferring the Economics of Store Density from Closures: The Starbucks Case," Marketing Science, INFORMS, vol. 37(4), pages 611-630, August.
    2. Feng, Cong & Fay, Scott, 2020. "Store Closings and Retailer Profitability: A Contingency Perspective," Journal of Retailing, Elsevier, vol. 96(3), pages 411-433.
    3. Jason R. Blevins & Ahmed Khwaja & Nathan Yang, 2018. "Firm Expansion, Size Spillovers, and Market Dominance in Retail Chain Dynamics," Management Science, INFORMS, vol. 64(9), pages 4070-4093.
    4. Yiting Deng & Anja Lambrecht & Yongdong Liu, 2023. "Spillover Effects and Freemium Strategy in the Mobile App Market," Management Science, INFORMS, vol. 69(9), pages 5018-5041, September.
    5. Murat Unal & Young-Hoon Park, 2023. "Fewer Clicks, More Purchases," Management Science, INFORMS, vol. 69(12), pages 7317-7334, December.
    6. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    8. Patel, Pankaj C. & Struckell, Elisabeth M. & Ojha, Divesh & Manikas, Andrew S., 2020. "Retail store churn and performance – The moderating role of sales amplitude and unpredictability," International Journal of Production Economics, Elsevier, vol. 222(C).
    9. Joshua L. Warren & Penny Gordon‐Larsen, 2018. "Factors associated with supermarket and convenience store closure: a discrete time spatial survival modelling approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(3), pages 783-802, June.
    10. Srinivasan, Raji & Sridhar, Shrihari & Narayanan, Sriram & Sihi, Debika, 2013. "Effects of opening and closing stores on chain retailer performance," Journal of Retailing, Elsevier, vol. 89(2), pages 126-139.
    11. Hruschka, Harald, 2014. "Linking Multi-Category Purchases to Latent Activities of Shoppers: Analysing Market Baskets by Topic Models," University of Regensburg Working Papers in Business, Economics and Management Information Systems 482, University of Regensburg, Department of Economics.
    12. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    13. Ellickson, Paul B. & Grieco, Paul L.E., 2013. "Wal-Mart and the geography of grocery retailing," Journal of Urban Economics, Elsevier, vol. 75(C), pages 1-14.
    14. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    15. Melissa Dell, 2010. "The Persistent Effects of Peru's Mining Mita," Econometrica, Econometric Society, vol. 78(6), pages 1863-1903, November.
    16. Shankar, Venkatesh & Kushwaha, Tarun, 2021. "Omnichannel marketing: Are cross-channel effects symmetric?," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 290-310.
    17. Unnati Narang & Venkatesh Shankar, 2019. "Mobile App Introduction and Online and Offline Purchases and Product Returns," Marketing Science, INFORMS, vol. 38(5), pages 756-772, September.
    18. Mayadunne, Sanjaya & Johar, Monica & Saydam, Cem, 2018. "Competitive store closing during an economic downturn," International Journal of Production Economics, Elsevier, vol. 199(C), pages 162-178.
    19. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    20. Ali Goli & Pradeep K. Chintagunta, 2021. "What Happens When a Retailer Drops a Product Category? Investigating the Consequences of Ending Tobacco Sales," Marketing Science, INFORMS, vol. 40(6), pages 1169-1198, November.
    21. Narang, Unnati & Shankar, Venkatesh & Narayanan, Sridhar, 2022. "How Does a Failure in a Retailer's Mobile App Impact Purchases in Its Online and Offline Channels?," Research Papers 4053, Stanford University, Graduate School of Business.
    22. Joseph Pancras & S. Sriram & V. Kumar, 2012. "Empirical Investigation of Retail Expansion and Cannibalization in a Dynamic Environment," Management Science, INFORMS, vol. 58(11), pages 2001-2018, November.
    23. Sai Chand Chintala & Jūra Liaukonytė & Nathan Yang, 2024. "Browsing the Aisles or Browsing the App? How Online Grocery Shopping is Changing What We Buy," Marketing Science, INFORMS, vol. 43(3), pages 506-522, May.
    24. Gonca Soysal & Alejandro Zentner & Zhiqiang (Eric) Zheng, 2019. "Physical Stores in the Digital Age: How Store Closures Affect Consumer Churn," Production and Operations Management, Production and Operations Management Society, vol. 28(11), pages 2778-2791, November.
    25. Mengxia Zhang & Lan Luo, 2023. "Can Consumer-Posted Photos Serve as a Leading Indicator of Restaurant Survival? Evidence from Yelp," Management Science, INFORMS, vol. 69(1), pages 25-50, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fay, Scott & Feng, Cong & Patel, Pankaj C., 2022. "Staying small, staying strong? Retail store underexpansion and retailer profitability," Journal of Business Research, Elsevier, vol. 144(C), pages 663-678.
    2. Feng, Cong & Fay, Scott, 2020. "Store Closings and Retailer Profitability: A Contingency Perspective," Journal of Retailing, Elsevier, vol. 96(3), pages 411-433.
    3. Butt, Moeen Naseer & Baig, Ahmed S., 2024. "Assessing the firm-level financial consequences of clustering," Journal of Business Research, Elsevier, vol. 178(C).
    4. Zhou, Peng & Huang, Xiaoqi & Song, Frank M., 2024. "The deterrent effect of environmental judicature on firms' pollution emissions: Evidence from a quasi-natural experiment in China," China Economic Review, Elsevier, vol. 88(C).
    5. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    6. Cao, Andi & Guo, Lili & Li, Houjian, 2025. "Tackling clean energy transition challenge in developing rural areas: Does college-educated village official matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    7. Lorraine Dearden & Barbara Sianesi, 2001. "Estimating the Returns to Education: Models, Methods and Results," CEE Discussion Papers 0016, Centre for the Economics of Education, LSE.
    8. Michela Bia & Roberto Leombruni & Pierre-Jean Messe, 2009. "Young in-Old out: a new evaluation based on Generalized Propensity Score," LABORatorio R. Revelli Working Papers Series 93, LABORatorio R. Revelli, Centre for Employment Studies.
    9. Yuqian Xu & Anindya Ghose & Binqing Xiao, 2024. "Mobile Payment Adoption: An Empirical Investigation of Alipay," Information Systems Research, INFORMS, vol. 35(2), pages 807-828, June.
    10. Larcker, David F. & Rusticus, Tjomme O., 2010. "On the use of instrumental variables in accounting research," Journal of Accounting and Economics, Elsevier, vol. 49(3), pages 186-205, April.
    11. Feng, Cong & Fay, Scott, 2022. "An empirical investigation of forward-looking retailer performance using parking lot traffic data derived from satellite imagery," Journal of Retailing, Elsevier, vol. 98(4), pages 633-646.
    12. Tim K. Loos & Manfred Zeller, 2014. "Milk sales and dietary diversity among the Maasai," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 77-90, November.
    13. Timoumi, Ahmed & Gangwar, Manish & Mantrala, Murali K., 2022. "Cross-channel effects of omnichannel retail marketing strategies: A review of extant data-driven research," Journal of Retailing, Elsevier, vol. 98(1), pages 133-151.
    14. El Kihal, Siham & Shehu, Edlira, 2022. "It's not only what they buy, it's also what they keep: Linking marketing instruments to product returns," Journal of Retailing, Elsevier, vol. 98(3), pages 558-571.
    15. Maren Duvendack & Richard Palmer-Jones, 2012. "High Noon for Microfinance Impact Evaluations: Re-investigating the Evidence from Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 48(12), pages 1864-1880, December.
    16. Feng, Cong & Xiang, Kexin, 2023. "Structural power of female executives and retailer profitability: A contingent resource-based perspective," Journal of Business Research, Elsevier, vol. 168(C).
    17. Grass, Martin & Zeller, Manfred, 2011. "Rural Employment and Income Effects of a Jatropha Plantation in Madagascar," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(4), pages 1-22.
    18. Bohacek, Radim & Myck, Michal, 2017. "Economic Consequences of Political Persecution," IZA Discussion Papers 11136, IZA Network @ LISER.
    19. Richard Blundell & Lorraine Dearden & Barbara Sianesi, 2003. "Evaluating the impact of education on earnings in the UK: Models, methods and results from the NCDS," IFS Working Papers W03/20, Institute for Fiscal Studies.
    20. Kupfer, Ann-Kristin & Marchand, André & Hennig-Thurau, Thorsten, 2024. "Explaining physical retail store closures in digital times," Journal of Retailing, Elsevier, vol. 100(4), pages 512-531.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:44:y:2025:i:4:p:820-837. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.