Dataengine: Footfall Trends

Footfall Trends providesand its components provide an aggregated anaylsis of historical data across site and time periods, delivering high-level insight into trends, patterns, and performance over over-time.

Footfall Trends isare structured into three components:

• Weekly Trends: Compare the current week's data against historical periods, such as the previous week and the same week in previous years, to identify short- to medium-term trends and patterns.
• Monthly Trends : Compare the current month's data against historical periods, such as the previous month and the same month in previous years, to identify medium-term trends and seasonal patterns.
• Annual Trends: Compare the current year's data against historical periods, such as previous years, to identify long-term trends, growth patterns, and performance changes over time.

Please refer the attachments tab for the Introduction to Weekly/Monthly/Annual Footfall Trends Visual Guides.

Filtering

There are a variety of filters available in Footfall Trends, including:

• Filter by site.
• Filter by year, month, or week

Enabling users to analyse historical data (e.g., 2023 Week 18 for Location 1) as seamlessly as the current week. 

Alongside the filters, users are presented with at-a-glance-metrics such as week-over-week change or month-over-monthprevious changemonth's total to provide a baseline snapshot of performance.

 

Example of Monthly Footfall Trends 

Visualisations

Footfall Trends provides a range of visualiations suited to theireach retrospective time period, however,helping overallusers the visualisations help:to:

• Track footfall trends over time.
• Identify peak and off-peak traffic periods.
• Spot unusual increases or decreases in activity.
• Compare year-over-year performance.
• Identify high-traffic flow points.

Identify busy locations to help support business decision-makingmaking. Compare footfall by site Identify high-traffic flow points.site.

and more...

 

Example of Daily Footfall by Location