How Footfall and Location Intelligence Support Smarter Retail Site Selection

While footfall remains an important part of site selection, visitor numbers alone cannot explain the full commercial potential of a location. Retailers also need to understand who those visitors are, what they spend and whether they match the brand’s target customer.

That is where location intelligence becomes essential.

In the video below, Rob Heffernan from Hook uses the Lighthouse location intelligence platform to compare two major London retail destinations: Westfield Stratford and Westfield White City.

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Watch Rob demonstrate how retailers can combine footfall and location intelligence to compare potential sites more confidently.

Why footfall alone cannot identify the best retail location

Footfall measures how many people visit a location during a given period. It can help retailers understand the potential reach of a shopping centre, high street or other physical destination.

However, a location with higher footfall is not automatically a better location for every business.

As Rob explains:

“Footfall as a leading indicator just tells you one simple story.”

A quick-service restaurant may prioritise a high volume of visitors and frequent opportunities for convenient purchases. A luxury retailer may care more about purchasing power, average transaction value and international visitation.

Both businesses could analyse the same two sites and reach different conclusions.

Footfall should therefore be treated as the beginning of a location assessment not the final answer.

The challenge of turning location data into useful insight

Retailers have access to more location data than ever before. The challenge is bringing that data together in a form that supports a clear commercial decision.

As Rob notes:

“Data becomes quickly outdated, it’s not easily accessible, and it’s really hard to compare apples to apples.”

Information may be spread across different providers, reports and internal systems. Footfall may cover one time period, spending data another and demographic information another.

Without a consistent view, teams can struggle to compare potential locations accurately.

Location intelligence addresses this problem by combining multiple datasets and measures within a shared analytical framework. Instead of viewing footfall in isolation, retailers can examine it alongside spending, dwell time, demographics, purchasing power and visitor origin.

This produces a more complete picture of how a location performs and who it serves.

Comparing footfall at Westfield Stratford and White City

To demonstrate the value of location intelligence, Rob uses Hook Lighthouse to compare Westfield Stratford and Westfield White City over six months.

At a headline level, Stratford recorded considerably higher footfall. It attracted nearly 15 million visits during the period covered by the analysis, making it an appealing option for businesses seeking mass-market reach.

However, the location intelligence also revealed a difference in momentum.

Stratford’s footfall was down by 5% compared with the preceding six months. White City had lower overall footfall, but visitation had grown by 0.6%.

This distinction is important.

Total footfall shows the current scale of a location, while the change in footfall provides insight into its direction of travel. A site with a larger audience may be declining, while a smaller location may be gaining momentum.

Looking at both measures enables retailers to put headline visitor numbers into context.

Using location intelligence to understand visitor behaviour

Footfall can tell a retailer how many people are visiting, but not necessarily how those people behave.

Location intelligence allows businesses to examine different aspects of visitation, including:

• Total footfall
• Average daily visits
• Day-of-week patterns
• Weekly and monthly trends
• Dwell time
• Changes between different reporting periods

These behavioural insights can affect operational and investment decisions.

For example, a location with strong weekend footfall may suit one type of retailer, while another business may depend on reliable weekday trade. Dwell time can also help indicate whether visitors are passing through quickly or spending longer within the destination.

By reviewing these patterns alongside total footfall, retailers can understand not only how busy a location is, but how its audience engages with it.

Why higher footfall does not always mean higher customer value

Stratford’s larger volume of visitors contributed to more transactions and greater overall spending across the shopping centre.

However, the location intelligence analysis revealed a different result when average transaction values were compared.

White City generated a higher average transaction amount than Stratford. During the period analysed, its average transaction was 16% higher, despite the location recording fewer average transactions per day.

This could be particularly relevant for retailers with a higher average order value or larger typical basket size.

A volume-led retailer might place greater value on Stratford’s footfall. A premium retailer may see more potential in White City’s higher transaction value.

Neither conclusion is universally correct. The stronger opportunity depends on the retailer’s commercial model.

Adding category-level spending to the analysis

Total spending provides a useful measure of a location’s overall commercial activity. But it may not accurately reflect the opportunity available to a specific retail category.

Using spending insights from Experian, Lighthouse can analyse expenditure within individual categories.

When Rob filters the comparison to focus on fashion-related spending, White City moves ahead of Stratford in overall fashion spend.

This is an important finding for fashion retailers.

Stratford’s higher footfall and greater total spending do not automatically translate into greater spending within every category. A retailer relying only on headline numbers might therefore overlook a location with stronger demand for its particular products.

Combining footfall with category-level location intelligence helps businesses evaluate a site based on the spending behaviour most relevant to them.

Using location intelligence to assess customer fit

The commercial potential of a retail location depends heavily on the people it attracts.

Lighthouse allows retailers to examine customer profile characteristics alongside footfall, including:

• Age
• Gender
• Disposable income
• Purchasing power
• Domestic and international visitation

In the Westfield comparison, visitors to White City showed greater purchasing power than visitors to Stratford. White City also had a longer tail at the higher end of the disposable-income range.

For a premium or luxury retailer, these characteristics may be more important than attracting the greatest possible number of visitors.

This is one of the central benefits of location intelligence. It shifts site-selection discussions from “How many people visit?” to “Does this location attract the right people for our brand?”

Understanding the value of international footfall

Visitor origin can also affect the potential value of a location.

White City attracted more international visitors than Stratford during the period analysed. For a globally recognised brand, this could provide more opportunities to reach consumers who are already familiar with the business from other countries.

As Rob explains:

“This is where our international visitation can really help.”

International footfall may influence the product mix, customer experience and marketing strategy required at a location. It could be highly relevant to a luxury retailer or global fashion brand, while being less important to a business built around local convenience.

The value of the metric depends on the retailer’s audience and expansion strategy.

Two London locations with different commercial profiles

Westfield Stratford and Westfield White City are both major shopping destinations within the same city. Nevertheless, their location intelligence profiles reveal different strengths.

As Rob summarises:

“Both locations are in the same city. However, they have completely different strategies and anatomies.”

The comparison suggests:

• Stratford provides greater footfall and mass-market reach.
• White City delivers a higher average transaction value.
• White City attracts more international visitors.
• White City’s visitors demonstrate greater purchasing power.
• White City produces stronger fashion-related spending.
• Stratford generates more transactions and higher total overall spending.

The right site depends on which of these factors matters most to the retailer.

A quick-service restaurant may prioritise Stratford’s footfall. A premium fashion brand may place greater weight on White City’s purchasing power, fashion spending and average transaction value.

How footfall and location intelligence can reduce investment risk

Opening a new store involves substantial financial and operational commitments. Retailers must consider property costs, staffing, fit-out investment, inventory and long-term lease obligations.

No location intelligence platform can remove every element of risk. It can, however, make that risk easier to understand.

A robust site comparison should consider:

1. Footfall: How many people visit the location?
2. Growth: Is footfall increasing or decreasing?
3. Visitor behaviour: When do people visit, and how long do they stay?
4. Spending: How much do visitors spend?
5. Transaction value: What is the average value of each purchase?
6. Category demand: Are visitors spending within the retailer’s category?
7. Customer profile: Do visitors match the target audience?
8. Purchasing power: Can the audience support the retailer’s price point?
9. Visitor origin: Is the audience local, domestic or international?

Bringing these insights together helps retailers compare locations on a consistent basis and build a more defensible investment case.

Making faster decisions with huq platform

huq is a live search and discovery platform designed to provide commercial insights across physical places.

Retailers can search for potential locations, use pre-built filters and compare multiple sites within a single view. They can also change the reporting period, review trends and explore metrics such as footfall, dwell, spending and customer demographics.

This helps teams move away from fragmented reports and towards a more consistent approach to location analysis.

As Rob concludes:

“huq intelligence can help to de-risk your real estate decision in minutes, saving you hours, and ultimately giving you that economic confidence to make those investments.”