Measure the “pulse” of the shopper’s response to this season’s fashion range.
BUSINESS REQUIREMENTS
Every Step of This Season’s Shoppers’ Buying Behaviours
- Fashion shoppers are fickle; their reactions to a brand’s latest ranges can vary dramatically between seasons.
- Which product groups have high engagement rates but fail to convert into sales? Which groups achieve high sales conversions?
- Fashion retailers must quickly identify these patterns and make the necessary adjustments.
Typical system designs for retail chains that are customer service-focus.
TECHNICAL REQUIREMENTS
Measure all Sales Opportunities ‘signals’
FootfallCam helps them to measure,
- Target Demographics Population: Each store’s targeted customers within its catchment areas.
- Attractiveness of the shopping windows: The number of people browsing the shopping windows.
- Footfall: The number of shoppers.
- Demographics of the shoppers: Age, Gender and mood of the shopper who came into the store.
- Product Engagement: The passerby and number of engagements in each product group.
- Types of shoppers: Based on in-store travel paths, categorise the shoppers into “Determined shoppers”, “Indecisive Shoppers”, “Casual Browsers” etc
- Changing room usage: The number of shoppers who have entered the changing room areas.
METRICS
Maximise Sales Potential and Quantify Market Response for Each Product Category
SOFTWARE FUNCTIONS
Utilising FootfallCam V9 Cloud to understand the footfall patterns of individual stores, compare store and staff performance, benchmark against the best-performing store, and identify areas for improvement.
Store Location Analysis
Quantify nearby population demographics, assess competitiveness and market capture rate of core demographics, and identify gaps or missed opportunities compared to competitors for strategic location planning.
Customer Engagement Dashboard
Understand customer shopping behaviour and touchpoints, track their shopping path, identify the product categories with the highest engagement, monitor sales conversion by category, and determine if customers visited changing rooms or made a purchase before leaving.
Marketing Effectiveness and ROI Review
Compare footfall and sales uplift relative to marketing events using AI modelling, considering data points such as sales, visit duration, footfall, and more, to provide recommendations for sales improvement.
Retailers that are using this solution:
Other Related Links:
Pharmacy Chains – In-Store Shopping Journey Analytics ➜ Using Using ProWave to track the shoppers’ movement and product engagements
Electronic Stores – Demographics Analysis ➜ Using FaceCam to measure the age, gender and mood of the shoppers
Luxury Retail Stores – Optimal Staff-to-Footfall Ratio ➜ Using 3D Pro2 to measure footfall and AI to provide recommendations