WiFi Heat Mapping

Optimize your venue layout like never before

Real-time Heat Maps

Understand how guests move around your physical space

Our heat mapping feature allows you to view and understand how guests move and interact within your venue. Enabling you to identify hot spots, dead areas and bottlenecks within your physical space. Our traffic maps provide powerful insights such as dwell time, pass-by traffic, and entrance path analytics.

Heat maps can be applied to all physical spaces from retail stores to airports enabling you tofully understand the customer journey. Optimize windows displays, validate product placement and A/B test new store concepts with clear visual actions.

Optimize Staff Levels
Benchmark, review and execute operational strategies

Using our API and integrating with POS systems, businesses are able to create operational efficiencies by reviewing traffic in areas of stores and benchmarking conversion rates against other stores.

Review staff levels and optimise shift patterns at different times of the day to save money and boost revenue.

Benefits of heat maps and foot traffic data

A clear view on the customer’s traffic pattern

Improve customer service techniques in your venue

View an accurate representation of customer dwell time

Adjust your marketing campaigns according to identified trends

Justify retail space and advertising costs with foot traffic data

Create operational efficiencies to save money and boost revenue
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Use cases
A few examples of heat maps in action

A common use case for heat mapping and footfall analytics is to determine the worth of advertising space or retail real estate according to the number of people who walk past that area. For example, a shopping mall might want to justify higher rent rates for a particular store, and use the large amount of footfall to do this. It would also be much easier to sell tiered third party advertising on the displays in the mall if prospective sponsors could view footfall data on the available space.

Another use case for heat mapping and footfall analytics is creating operational efficiencies. For example, if you know that your venue (let’s say it’s a coffee shop) is busiest first thing in the morning as people are on their way to work, or at lunchtime, you can ensure that more baristas are on duty to keep the queue moving. You could plan to have extra cleaning staff on duty clearing tables to make room for the increased number of customers. On the other hand, if you know there are times when the shop isn’t as busy, you can have a member of staff handing out vouchers for a free cup of coffee to passers by, or send an offer to regular visitors with an incentive to come back. Of course, understanding busy and quiet times also allows you to plan your stock effectively, and reduce waste.