Get access to reliable real-time people counting, occupancy, density and dwell time to monitor and manage your spaces efficiently and safely.
Enhancing footfall counters with data analytics can provide a range of benefits, including improved accuracy and the ability to gain additional insights from the data collected. Some possible approaches for using data analytics with footfall counters include:
- Identifying patterns and trends: By using data analytics tools, it is possible to identify patterns and trends in foot traffic data. For example, data analytics can be used to identify peak times and areas of high traffic, allowing for better planning and decision-making.
- Comparing data over time: Data analytics can also be used to compare foot traffic data over time, allowing for the identification of changes and trends. This can help identify factors that may be influencing foot traffic, such as seasonality or the effects of events or promotions.
- Combining data with other sources: Data analytics can also be used to combine foot traffic data with other sources of information, such as weather data or information on events and promotions. This can provide a more complete picture of factors that may be affecting foot traffic and allow for more informed decision-making.
- Visualizing data: Data analytics tools can also be used to visualize foot traffic data, allowing for easy interpretation and analysis. This can include creating graphs, charts, and other visualizations to help identify patterns and trends in the data.
Overall, using data analytics with footfall counters can provide a range of benefits, including improved accuracy and the ability to gain additional insights from the data. By identifying patterns and trends, comparing data over time, combining data with other sources, and visualizing the data, it is possible to make better-informed decisions and optimize the performance of the footfall counter.
Aireavu by BlockDox helps you measure dwell time, track conversions and ensure you have enough staff at peak times.
We use accurate sensors and historical data to help you determine busy and quiet times and schedule staff resources based on current demand.
You’ll also better understand your customers’ behavioural traits, helping you improve customers’ experience and maximize sales.
With our reporting tool, you’ll have access to historical charts and reports on how your store/space performed to inform whether your marketing activities are successful or not and if your shop lay-out is easy for customers to navigate.