How to Measure Footfall More Accurately by Using WiFi


Over the past few years, retailers have realised that in order to maximise profits, they have to endorse smart marketing. This works perfectly for online trading as you can easily see customer journeys and track their behaviour, however offline it’s near impossible to track, measure and analyse the exact point of sale.

So, in order to help them with their efforts, various different technologies have been released to track customer footfall. Retailers often measure this using sensors. WiFi data is far superior to different technologies. With this technology, businesses can track peak hours to match their staffing patterns, measure basic sales conversions and assess how many customers return to their stores.


But how can footfall be measured more accurately? In short, WiFi can help collate your data, which will help strengthen your findings and hopefully lead to maximising profits. Here's how WiFi can help you track a retail centre's footfall more precisely:


  • Provides Insightful Shopper Behaviour

  • Produces Rich and Accurate Information

  • Allows Insight Into High Footfall Areas to Maximise Promotional Placement

  • WiFi Can Help Identify Previous Customers

Provides Insightful Shopper Behaviour


WiFi-based footfall tracking technology allows retail centres to look into data in much more depth than other methods. It isn’t limited to just a footfall count either. Other insight includes behavioural trends, frequency and peak usage.


For example, how many repeat or first-time customers have entered your store over a set time period, their journey and how they browse items around the store and where they tend to idle and linger. It also allows you to see how long customers spend in stores and even how many people pass by without entering.


It’s important to track shopper behaviour as it allows you to tailor campaigns specifically based on your store’s trends and shopper habits. By tracking the rate of first-time customers entering your retail centre, it can give you an idea of how appealing your window display may look. It’ll allow you to see which campaigns are doing well and which aren't. For example, discount offers in the window are likely to attract new customers and entice shoppers to enter specific stores.


Produces Rich and Accurate Information


WiFi can produce richer and more accurate data than other methods. Methods such as laser beams and thermal image trackers tend to create restricted, one-dimensional findings. This is due to them not being developed enough and having the correct capabilities. For example, laser beams in store entrances can’t distinguish when groups of people walk in and out together. Plus, they can also mistake prams and trolleys for extra shoppers too, leading to inaccurate results.


In contrast, WiFi can produce analytics such as heatmaps. With WiFi enabled on shoppers devices, the system will recognise new and returning shoppers individually per device. The centre can then access information such as where these devices linger and the common paths they may take around