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The importance of the ShopAnalytics people-counting feature

5 March 2026 by
AZIZ

Smart people-counting devices are at the forefront of this movement, as more and more physical stores take advantage of technology solutions to optimise operations, improve customer satisfaction and increase profitability.
Here are some of the benefits of the ShopAnalytics solution for retailers:

Retail people counters provide valuable visitor analytics

People counters placed at strategic points in a retail store can be used to gather valuable customer data. Once interpreted, this data gives managers a better idea of how their store is performing and which areas need improvement.
For example, data from street counters can show how many people walked past your store, while people-counting devices tell you how many visitors came in.
This alerts the manager to the need to make the store more appealing to passers-by. If your store is open from 8 am to 9 pm and your people counter shows that you have virtually no customers before 10 am and a rush around 9 pm, this may be a sign that you need to adjust your opening hours.
Visitor analytics help retailers better understand their physical locations in terms of customer interaction.
Making proper use of the data collected can deliver real added value.

People-counting data is used to optimise sales and conversions

With people counters, retailers can measure customer conversion rates and lost sales opportunities. Data from the devices tells you how many people visited your store, and till data tells you how many sales were made. 

By comparing the figures, you can see how many visitors actually bought something and how many sales opportunities were lost.
The manager can then take steps to find out why some visitors abandoned their basket and how to prevent this from happening again in future. Common reasons for lost sales opportunities include long queues at the tills, poor customer service and a poor product range or layout.

Footfall counters measure the effectiveness of new advertising campaigns

In the past, when a retailer launched a new advertisement or marketing campaign, they could measure the resulting improvement in sales. 

With footfall counters, they can dig deeper into the figures and measure how many more people visited the store after the advertisement ran. They can find out how many people walked past the store without coming in, and how many visitors made a purchase.

If many people walked past the store without entering, this may be a sign that the marketing campaign was not very effective. It needs to be optimised and, thanks to people-counting data, it can be adjusted until it is effective. If many people came in but a good percentage of them did not make a purchase, this shows that the advertisement worked but that in-store operations need to be improved to increase customer conversion.

People-counting technology helps improve in-store operations

To run a store optimally, it is important to make constant improvements. Without technology, it is difficult to make these changes quickly. People-counting technology, for example, helps improve in-store operations such as staffing and customer service.

Personal customer service is one of the few advantages physical stores have over online shops. It is therefore important to ensure that a store is well staffed on busy days and during peak periods (as shown by people-counting data).

When enough sales assistants are available to help customers with their purchases, lost sales opportunities are significantly reduced. 

Likewise, additional tills can be opened during these periods to serve customers more quickly and avoid queues, thereby reducing basket abandonment. In addition, retailers can use visitor data to identify quiet periods. Reduced staffing can be maintained during these periods to cut labour costs.

anavid visitor analytics solutions

In addition to people-counting technology, we also provide stores and shopping centres with heatmap technology, a queue management solution, emotion recognition technology, age and gender classification and more.

When combined, these solutions enable physical stores to predict customer behaviour in their stores. They can then streamline their operations to attract more visitors, convert them into customers and increase their profitability.