Retailers & Malls

Vemcount helps Shopping Mall, Department & Discount Store, Big or Small Retail Store by collecting multiple data sets and converting them into data analytics. You become wiser about business strategies (as tenancy pricing) and your customers – who they are and how they behave.

People counting in shopping malls

The benefits for your business

Measuring true performance requires collecting multiple data sets and transforming them into insights. With Vemcount, you have access to actionable insights into your customers, who they are, and how they behave.

Identify peak times during a day or week, dwell time in specific zones, and wait time spent in queues. We provide you with the possibility to make fact-based decisions within sales, marketing, and staff management.

Integrate your POS data from any cash register provider and understand how sales correlate with traffic data, get insights about conversion rate and other KPI’s.

Data Collect
The traffic inside and outside stores is measured and compiled with multiple data sources to provide valuable and accurate information on all aspects of the business.
Data Analytics
Vemcount integrates data into external ERP-, BI- and PoS-systems or into dashboards configured in the cloud to provide real-time performance information.
View KPIs
It s possible to work with different data formats. Analysts and managers can quickly and realistically evaluate KPIs, so all decisions are assertive and secure.

Vemcount offers the best features:

Vemcount dashboard report

The performance of any Shopping Mall is highly dependent on visitor

Therefore, measuring the traffic is an essential key performance indicator for shopping mall operators wanting to increase operational effectiveness and improve tenancy strategies.

With Vemcount, you'll get an easy-to-understand and user-friendly report module. See all stores' performance in one report or divide stores into categories, e.g., clothing stores, restaurants, etc.

With Vemcount you can:

Increase conversion rates
Get a better marketing
Cut out abandonment rates
Discover your popular zones
Compare campaign success
Track your customers' path
Know the frequency of visits & average time
Identify new vs. returning visitor
Get information on cross-shopping
Relationship between sales, traffic flows & weather
Compare historical weather information with traffic and sales data to form an accurate and data-driven understanding of the correlation between weather and customer behavior. With this knowledge on hand, you can minimize your costs and optimize the allocation of your resources and staff.
Optimize store layout
Get insights into traffic patterns at a particular time. Identify hot and cold zones and evaluate the impact of different arrangements to get an overview of how many customers are drawn into your store and how your window displays are converting into sales.
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Vemco Group is a company in constant growth. Since its founding in 2005, the company has spread across the globe and is now represented in 85 countries, such as the United Arabic Emirates, Brazil, Russia, Australia, and Switzerland, to name a few. With headquarters in Fredericia, Denmark, Vemco Group is one of the leading European players in people counting and data analytics. Now, the company prepares to seize Norway and Sweden, while also welcoming a familiar face.

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When you think about loss prevention solutions, you probably don’t think about people counters. You probably think about scanners at the door, and of course, security guards. However, footfall counters also have a role to play in security.

Heatmaps and dwell time in retail store

Heatmaps are a graphical representation that helps retailers understand how customers use their brick-and-mortar stores. The data generated at these physical stores help retailers better understand how customers browsed, shopped, lingered, and for how long.

Our data shows that the most critical time in relation to distance is the moment where customers pick up groceries from the basket and put them on the conveyer belt.

Mikkel Baun Kjærgaard - Professor
Read case