If you have a business, you have undoubtedly heard of people counting systems. It is a system that connects people counting sensors with people counting software, allowing physical stores to keep an accurate count of visitors. But do you know how the system works? Or how can the data collected by the counting software be converted into analytical data relevant to retail? If you don’t know, you are about to find out. Not only will you understand how the system works, but you will also learn how it can help you transform your business, streamline operations, and improve your baseline.
People Counter For The Shop
The people counters are placed in strategic points of a site where commercial activity is carried out, such as, for example, a retail store. Sensors measure every visitor who enters and leaves the store, and data is recorded by people counting software that offers backend support. This is the primary explanation of how a people measuring device works. The data collected by the sensors depends on their location in the store.
For example, if sensors are placed at the entrance and exits, they provide an accurate count (minimum 98 percent accuracy) of how many gates and doors there are in the store. Similarly, if sensors are placed at the access to individual store sections, the system records how many people enter the section. Some retailers place counting sensors outside stores to collect street traffic data.
Collecting data is only the beginning. All the information collected by the sensors is of great importance, especially for owners who want to better understand the performance of their stores and the behavior in the store.
Advantages Of The Data Collected With The People Counters
The first figure that can be extracted from the people counting devices concerns traffic data. It indicates the total number of people who have visited the shop, and the data can be collected in different time slots. By themselves, traffic data is a measure of commercial performance; this indicates how well a store performs and how many visitors it attracts compared to the competition.
Another advantage of traffic data is that this value can be further analyzed to obtain more information about the store. For example, when you cross-analyze the outbound data, you can get the store conversion rate. This value indicates what percentage of visitors have made purchases. The analytical data derived from traffic data can also identify peak periods and those of lower turnout, the personal-customer ratio, and the churn rate.
All of these measures describe customer behavior in a store and can significantly improve sales. The checkout rate, for example, compares how many people walk past the store and the number of people who enter. A 90 percent churn rate means that only 1 in 10 passersby enter the store. By increasing this value, it is possible to have more potential customers.
People counting devices and analytical data on customer behavior in the retail store
One of the most remarkable features of the people counting system is the way it is attached to store behavior data. This refers to the critical data that explains why customers behave the way they do in a store. For example, if your store’s conversion rate is low, you want to understand why there are technologies that allow this.
In conclusion, people counting systems can be used for a primary function such as data collection. However, the data can be used to do even more. You can know a lot about customers and their preferences, facilitating customer satisfaction levels and, therefore, sales. You can also learn how the store works, helping you implement strategies that streamline operations and make service delivery smoother.