ADA derives insights for a Japanese departmental store with location & data analytics
Retail
The Results
- The client gained a firm understanding of the type of consumers who are seen in the malls.
- A comprehensive report on each of the 10 outlets was produced to show the mall profile, demographics, willingness of visitors to travel, footfall density, and more, allowing the client to profile potential consumers that they could win over from competitors and gauge the largely contributing tenants in different outlets.
The Challenge
Although the Singapore economy is slated for recovery due to local vaccination efforts, factors such as continued social distancing measures, reduced footfall traffic, and low volume of visitor arrivals continue to dampen the recovery of the retail industry.
The client turned to ADA by leveraging XACT, ADA’s proprietary data management platform (DMP) and AI-driven solution, to uncover data-driven insights on customers in their existing store locations, the locations of their primary competitors, as well as the demographics of selected locations with the goal of increasing customer acquisition.
The Solution
1 Location selection u0026 geofencing
We identified our target audience, competing malls, and potential malls to open new departmental stores. We geofenced 10 mall outlets to extract profiles of visitors, either by mapping the whole mall or a section of the mall to best capture the audience for our analysis.
2 IFA extraction u0026 profiling
The IFAs of devices seen within the geofenced locations were extracted. Then, they were run through our XACT database for consumer profiling.
3 Derive insights
The identified data sets were analysed, with a focus on the following areas: Cross-visitation patterns, Willingness to travel, Footfall traffic, Catchment heatmap, and more to offer competitive insights.
The Execution
1 The insights on competitor mall outlets
The target audience for each brand / mall were mapped out. Colour gradients were used to showcase least to most concentration catchment areas. The distance travelled by the target audience to arrive at the identified malls is tracked from their home / work locations.
2 The Insights on visitor analysis
The movement of the target audience was tracked by day of the week and categorised for footfall analysis by weekdays and weekends. Age group, gender, persona, and behaviours were derived and supplemented using XACT. Affluence was derived from condition-based attributes. The device price tiers and home property price tiers were then segmented.
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