Cross- Shopping Report

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Claude Shepherd
5 years ago
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1 Cross- Shopping Report Purpose: The purpose of the Cross Shop Report is to help Shopping Malls understand the shopping habits and trends of consumers at a more granular level. Goal: The goal of this document is to outline the reasons that a Cross- Shop Report on an ongoing basis in multiple properties is something that Shopping Mall owners (Malls) should be pursuing with MEXIA Interactive. As one of many items that the MEXIA SMRT Sensor Platform provides, the proven accuracy and granularity will allow Malls to have an unprecedented level of understanding regarding consumer footfall, trends, patterns and behaviors. This understanding can be used to assist with the sales and development of new and renewal lease agreements and increase information that can be provided to tenants to assist in increasing customer loyalty and revenues. In order to achieve this goal, MEXIA is proposing to install additional SMRT Sensors on the second level of XXXXXXX based on the layout below. This would not require any additional human resources from XXXXXX, would satisfy Design/Aesthetics and would ultimately provide the basis for future properties and gaining the most in- depth level of information about Mall visitors in the industry. Until now, it has been impossible to truly measure the value of an anchor tenant customer or determine the footfall patterns of consumers based on where they enter the Mall from. This has been identified as something that would be highly valuable to any Mall owner. As a client of MEXIA, XXXXXX has the opportunity to lead the industry by having competitive information about tenant traffic levels, dwell times, frequency of visits and directly correlate revenues to this data. Through the MEXIA SMRT Sensor Platform, analyzing consumer footfall to a granular level of 6-8 feet allows reporting on: 1) Where did consumers enter the Mall- anchor, parking, food court, general entrance 2) Once entered, what Categories of store do they visit- women s, men s, food services, accessories, designer, etc. 1

2 3) After reporting on the Category, break down the specific stores within the category to see which are the popular stores by traffic count as well as dwell time within the store and see other Categories of stores being visited. 4) Determine the frequency of visit by consumers to see if the same categories are being visited, or if there is a mix. 5) Determine the difference in footfall between consumers who enter through an anchor tenant versus those who enter through parking or general entrances. 6) Compare additional traffic footfall from high- influence tenants such as Apple Store to determine what other stores or categories are being visited when a consumer visits these high- influence tenants. 7) What changes in trends occur based on events inside Mall, external events, holidays, etc. 8) Compare visit and footfall trends to Kiosk stores in common areas. In order to accurately reflect visitor footfall and Cross- Shop patterns, it is imperative to have a robust and granular Sensor Platform. The MEXIA SMRT Sensor has been engineered to provide this level of accuracy and additionally provide engagement with mobile devices through Beacons, WiFi systems and more. On pages 3 & 4 below, we provide direct examples from existing locations of the level proven accuracy of the MEXIA SMRT Sensor Platform 2

2.5 Meter (6-8ft) Accuracy Walk- around Results The above layout of an existing MEXIA SMRT Sensor installation shows the results of a blind walkaround by our client over the period of one hour.

3 2.5 Meter (6-8ft) Accuracy Walk- around Results The above layout of an existing MEXIA SMRT Sensor installation shows the results of a blind walkaround by our client over the period of one hour. The process was that our client walked through this area (airport) with their mobile device on, WiFi turned on and active (to get highest amount of data). Once completed, the MEXIA BI team provided this layout map with the red dots that showed where our Platform placed the person and where they dwelled. We then had the client inform us of their actual location based on their notes. As noted on this layout, each green dot is within 2.5m (6-8ft) of where the SMRT Sensor Platform placed the person. In many instances, our accuracy level was within 1m. The blue dots on the layout are the locations of the SMRT Sensors 3

One Hour Heat- Map Results The above layout shows a one hour period of time in which the position and flow of 576 people were analyzed and shown in a heat map format.

4 One Hour Heat- Map Results The above layout shows a one hour period of time in which the position and flow of 576 people were analyzed and shown in a heat map format. The purpose of this is to show the areas in which people are dwelling and where they are not. This shows areas of opportunity where there is a lack of traffic. In a Mall environment, this could be used to show areas that visitors are dwelling in over specific periods of time. This can also be exported to a time- lapse report to show how visitors move over a period of time. Deeper analytics could also color the dots differently based on visitor frequency, etc. The accuracy level of this heat map is to our standard 2.5m set up. 4

5 SMRT Sensor Placement- Cross Shop Report Image above shows placement of SMRT Sensors- Out of visual sight of Mall visitors 5

6 SMRT Sensor- Proposed Layout/Placement Locations The above layout shows the second level wing that MEXIA might propose to install SMRT Sensors at. 6

7 SMRT Sensor- Mall Visitor locates/dwell Above images show cluster of dots that MEXIA Platform places user within store. These examples are with limited Sensors, yet still demonstrate the SMRT Sensor can locate customers within store. 7

SMRT Sensor- Mall Visitor- Multiple stores Image above shows a period of 5 minutes that customer was in multiple stores and the MEXIA SMRT Sensor not only captured them in each store, but accurately

8 SMRT Sensor- Mall Visitor- Multiple stores Image above shows a period of 5 minutes that customer was in multiple stores and the MEXIA SMRT Sensor not only captured them in each store, but accurately positioned them. Yellow store- 19:22-19:25 Orange store- 19:25-19:27 The purpose of these images is to demonstrate that customers can be positioned within stores. Based on the time of entry and movement to additional stores, the MEXIA Platform can provide Cross- Shop Reports about which stores are visited, for how long and how often by the same consumers. 8

TRAVEL PLAN: CENTRAL EUROPEAN UNIVERSITY CAMPUS REDEVELOPMENT PROJECT TRAVEL PLAN. Central European University Campus Redevelopment Project.

TRAVEL PLAN: CENTRAL EUROPEAN UNIVERSITY CAMPUS REDEVELOPMENT PROJECT TRAVEL PLAN. Central European University Campus Redevelopment Project. TRAVEL PLAN Central European University Campus Redevelopment Project Page 1 Table of Contents Introduction... 3 Background... 7 Building Users... 7 Transportation in Community Consultation... 7 Summary