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Optimizing marketing strategies through occupancy pattern analysis in shopping malls

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dc.contributor.author Pathirana, KPRS
dc.contributor.author Jayasinghe, GDGM
dc.contributor.author Ponnamperuma, JAW
dc.contributor.author Sarathchandra, HRCA
dc.contributor.author Dassanayake, SM
dc.contributor.author Mahakalanda, I
dc.date.accessioned 2023-11-30T07:28:22Z
dc.date.available 2023-11-30T07:28:22Z
dc.date.issued 2023-12-04
dc.identifier.uri http://dl.lib.uom.lk/handle/123/21817
dc.description.abstract This study examines the occupancy patterns within a suburban shopping center in Sri Lanka, with more attention to the evolving role of shopping malls as dynamic marketing hubs. It underscores the importance of comprehending customer behavior, optimizing store layouts, and deploying effective advertising strategies in the context of mall marketing. Using a data-driven approach spanning four weeks, we collected and analyzed customer traffic data. Our findings consistently highlight the prominence of entrances 1 and 2, with Fridays emerging as the peak day for customer engagement. Additionally, crowd density analysis uncovers the significant impact of store types and the time of day on mall traffic patterns. These actionable insights serve as valuable guidance for mall management, enabling the optimization of marketing strategies and an enhanced shopping experience. By effectively bridging the gap between theoretical knowledge and practical applications in shopping mall marketing, this research contributes to a deeper understanding of occupancy patterns within these multifaceted commercial spaces. en_US
dc.language.iso en en_US
dc.publisher Business Research Unit (BRU) en_US
dc.subject Customer traffic and retention en_US
dc.subject Marketing optimization en_US
dc.subject Occupancy patterns en_US
dc.title Optimizing marketing strategies through occupancy pattern analysis in shopping malls en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Business en_US
dc.identifier.department Department of Decision Sciences, en_US
dc.identifier.year 2023 en_US
dc.identifier.conference International Conference on Business Research en_US
dc.identifier.place Moratuwa en_US
dc.identifier.pgnos pp. 1-9 en_US
dc.identifier.proceeding 6th International Conference on Business Research (ICBR 2023) en_US
dc.identifier.email pathiranakprs.19@uom.lk en_US
dc.identifier.doi https://doi.org/10.31705/ICBR.2023.10 en_US


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