Kuvaus
3D Counter
The basic sensor in retail analytics the customer counter, gives answer to question how many customers have entered the location and what time.
Consumer spend increases dramatically when customer has a positive experience. For the positive experience, the people counting is in big role, providing the insight required for management of scheduling, to allocate staff according to hourly visitor traffic.
Match the customer service level to brand service level with the information of the visitor count and staffing.
Counter can also be used to count the by passers. What is the potential of the store location? Compare number of by passers and visitors to see the performance and the development of your capture rate? How does your window display work? How good are your signages? Make a test and see how it affects you capture rate.
For Shopping centers traffic information is more than vital
WiFi Sensor
With WiFi sensors you have the ability to collect anonymous data on individual customers’ visit. The data starting from how long the customer spend time in store, the behavioral data like the frequency of the customer visits to the store? How many of the customers are returning customer and how many of the customer are new customers?
Adding more than one WiFi sensors in store you can analyze customer behavior and patterns in store. The store-wide Wi-Fi analytics solution is able to provide accurate, real-time conversion from fitting rooms to tills and other metrics like dwell times at the fitting areas or at the service counters. What is the route for the customer from entrance to till and how long time was spend in different areas.
How does this work?
Even if not connected to WiFi network, all Wi-Fi enabled devices continually send messages to detect available networks. This takes place one or two times in minute, depending on device. With the intelligent Smart Sensors this data is transformed into GDPR compliant anonymous data, right at the sensors.
Adding WiFi sensors to your store you can have the information of customer journey of:
-Time spent in store
- Returning customers count
- New customer count
- Frequency of customer visit
- Customer route through departments
- Total shopping time