Foot traffic for a fashion brand
A fashion retailer feels busy but sales do not match the crowd. Two weeks of counted footfall, hour by hour, shows when people come, how many convert, and where the store leaks buyers.
The question
We look busy, why are sales flat, and when do we actually need more staff?
Method
Door counts, in store observation, conversion tracking and mystery purchases
Sample
One flagship store, 14 days, 18,840 counted visitors
Timeline
4 weeks including the reporting session
Footfall by hour, two weeks combined
Gold bars mark the peak hours. Illustrative values.
From the window to the receipt
In this example the store loses most of its buyers between the door and the fitting room in the two peak hours, a staffing problem, not a product problem.
What a study like this delivers
An hour by hour footfall curve that puts staff where the customers are
A conversion funnel showing exactly where buyers drop out
Peak hour service checks from mystery purchases
A before and after benchmark to prove the fix worked
All figures on this page are illustrative examples, not client data. Your study produces the same charts with your market's real numbers.
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