Optimizing marketing strategies through occupancy pattern analysis in shopping malls

dc.contributor.authorPathirana, KPRS
dc.contributor.authorJayasinghe, GDGM
dc.contributor.authorPonnamperuma, JAW
dc.contributor.authorSarathchandra, HRCA
dc.contributor.authorDassanayake, SM
dc.contributor.authorMahakalanda, I
dc.date.accessioned2023-11-30T07:28:22Z
dc.date.available2023-11-30T07:28:22Z
dc.date.issued2023-12-04
dc.description.abstractThis 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.identifier.conferenceInternational Conference on Business Researchen_US
dc.identifier.departmentDepartment of Decision Sciences,en_US
dc.identifier.doihttps://doi.org/10.31705/ICBR.2023.10en_US
dc.identifier.emailpathiranakprs.19@uom.lken_US
dc.identifier.facultyBusinessen_US
dc.identifier.pgnospp. 1-9en_US
dc.identifier.placeMoratuwaen_US
dc.identifier.proceeding6th International Conference on Business Research (ICBR 2023)en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/21817
dc.identifier.year2023en_US
dc.language.isoenen_US
dc.publisherBusiness Research Unit (BRU)en_US
dc.subjectCustomer traffic and retentionen_US
dc.subjectMarketing optimizationen_US
dc.subjectOccupancy patternsen_US
dc.titleOptimizing marketing strategies through occupancy pattern analysis in shopping mallsen_US
dc.typeConference-Full-texten_US

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