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The primary purpose of excluding staff from the footfall count is to better understand the true number of visitors and the opportunity size within a supervised area.
Here we take a look at the different approaches to detect and filter staff from your footfall data and the pros and cons of each method.
+ Offers a clear distinction between staff and customers
+ Offers the ability to understand staff and customer interactions, but in a limited manner
– Staff need to remember to wear the tag
– The tag needs to be visible to the sensor (which can be impractical)
– Can detract from smart uniforms/bran appearance
– Maintenance of tag stock is a consideration
– May have additional operational costs
+ Offers a clear distinction between staff and customers
+ Offers the ability to understand staff and customer interactions, but in a limited manner
+ Permits exclusions beyond just staff. Repeat visitors can be excluded (shoppers, service agents, delivery agents etc)
+ Requires little staff interaction
+ The algorithm is maintained, improved and deployed remotely
– Intensive system learning process
– Requires a defined and fully adopted uniform policy
– Additional hardware requirements
– May incur additional capex and opex
– Deviations from the defined policy need relearning
– Relatively new technology
Footfall counting is often associated with retail stores and shopping centres, but its benefits extend far beyond the high street.
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