Staff exclusion: reliable KPIs
Challenge
Differentiating between employees, product deliverers, and other non-customer visitors to brick-and-mortar stores is crucial for protecting the integrity of the data underlying KPIs. This is achieved by:
- Excluding staff from in-store and storefront data capture efforts
- Segmenting employees and other non-customers from
KPI calculations
Solution
A small tag can effectively tell sensors to ignore the person in possession, ensuring the exclusion of non-visitors from counts. Data counts solely on customers and potential customers:
- Improve precision of conversion rate calculations
- Accurately gauge staff demand at different hours based on footfall data
Benefits
Understanding store activity based on measured KPIs is a tried and tested people Second-guessing the quality of data used in strategic decision-making is ineffective and can be maddening for management. Digitizing brick-and-more stores is essential for:
- Optimizing employee allocation based on accurate sales and traffic KPIs
- Establishing true conversion rates used to better analyze performance
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