Huq Hourly Usage Data
What time of the day and which days of the week are busiest for your centres? Learn why visitors travel to your centres based on when they go there.
Determine demand
What are the needs of visitors to your town centres?
What is hourly usage data?
Hourly usage data counts the number of panelists observed within each measurement area by hour of day and day of week.
What is hourly usage data used for?
Discover what brings visitors to your town centres based on when they travel there - and how that changes with time. Traffic peaks during commuter times suggests travel is for work. Peaks in the evening and on weekends suggests leisure.
Key considerations & accuracy
Measurements must be made on sufficiently frequent intervals that a complete record of visits are made throughout the week. The panel must be verified as being representative in order to avoid observation bias.
Hourly usage data FAQs
Hourly usage data provides a near-realtime view of when visitors to your centres prefer to visit. This data is organised by hour of day (1-24) and day of week (Mon-Fri). The combination of the two shows how daily visitor trends differ throughout the course of the wee – and over time.
There is no limit to the number of locations available for measurement within our products. Our pre-existing data coverage exists across the whole of each geographic market we serve. This flexibility allows us to exactly meet your measurement requirements.
Huq’s mobility data goes back as far as 2016, although most products provide footfall data history starting in 2019. Mobility data history for your selected locations will be present within your product as soon as it is set up.
Mobility data allows researchers to determine where visitors travelled from, what they did / how long they spent there, and where they went next. It also provides a measure of the speed at which visitors travel. These qualities enable us to differentiate between visits and transits to an area within the metrics that we produce.
We associate profiles within our mobility data with census and other demographic classification data. This allows us to add dimensions such as income, age and gender to the mobility measures we make. This helps researchers discover more about who is visiting their centres and why.
Huq’s dataset allows us to develop powerful new insights across fast-changing and hard-to-measure domains.
Alex McCulloch, Director, CACI
Talk to our experts today.
Our experts will guide you through what is contained within the data, provide samples, support and get you started with Huq.