How to power retailed growth with foot traffic data

July 8, 2025

Finding a competitive advantage in retail is a constant challenge, but analysing foot traffic data can help you stay one step ahead.

In the constantly evolving and highly competitive world of retail, data might just be the new storefront.

Online analytics have guided digital strategy for many years, butnow physical retail is catching up - thanks in large part to foot traffic data. Foot traffic data is an effective lever for uncovering location intelligence, helping retailers make smarter decisions, optimise operations and unlock new growth opportunities in dynamic ways.

Why foot traffic data matters

Foot traffic data captures how people move through physical spaces — how many pass by, when they visit, how long they stay, and where they go next. For retailers, this means gaining visibility into real-world behaviour that was once invisible. It’s no longer just about where your store is, it’s about how people interact with it.

Foot traffic data can help uncover key behavioural insights and make crucial business decisions in the real world.

1. Smarter site selection

Choosing the right location is one of the most high-stakes decisions a retailer can make. Traditional methods – like demographic reports or gut feel – are no longer enough. Foot traffic data adds a layer of precision, showing actual visitation patterns by time of day, day of week, and season. Retailers can compare potential sites side by side, assess visibility and accessibility, and even benchmark against competitors, helping you make more confident decisions and avoid costly mistakes.

Base mapCycle trip volumesWalk trip volumes
Planwisely Foot Traffic Data can be used to understand where people choose to walk.

2. Optimising store performance

Once a store is open, foot traffic data becomes a tool for continuous improvement. Retailers can identify peak hours and adjust staffing accordingly, align promotions with high-traffic periods and monitor the impact of changes to layout or signage, helping align operations with real-world demand without any ambiguity. It also allows for retail businesses to take a more considered, and perhaps curated approach using insights for individual sites in a larger network.

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3. Understanding the customer journey

Foot traffic data doesn’t just show where people go - it reveals how they move. Are customers entering from the main street or the car park? Do they linger or pass by, and are they visiting other stores nearby? These behavioural insights help retailers understand the full customer journey, from awareness to conversion. This is especially powerful when combined with other data sources like sales or loyalty programs. Together, they paint a richer picture of who your customers are and how to serve them better.

Knowing where people walk helps retail businesses make decisions based on evidence instead of assumptions.

4. Measuring campaign impact

Marketing teams often struggle to connect the dots between campaigns and in-store outcomes. Foot traffic data can bridge that gap by comparing visitation before, during, and after a campaign, retailers can quantify uplift and refine future strategies. Understanding the relationship between footfall and sale activity can also shed light on how well your efforts are converting into revenue.

Foot traffic data can be combined with other metrics to understand campaign success, conversion rates and more.

5. Scaling strategy across a network

Beyond individual stores, foot traffic insights can inform broader strategy. Retailers can identify high-performing locations and replicate their success, spot underperforming sites and intervene early, or even explore new formats like pop-ups or kiosks in high-traffic zones.

Interested in learning more about foot traffic data? Reach out to us today to find out how you can drive retail growth with Planwisely.

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