55% of retail brands say that winning foot traffic is their biggest challenge. And despite the rise of online shopping, physical stores still drive 72% of all U.S. retail sales.
If you’re relying on guesswork to decide where to open your next location, you’re leaving revenue—and relevance—on the table.
Why External Footfall & Location Data Changes the Game
By pairing real-world foot traffic with socioeconomic and migration insights, businesses can:
✅ Identify high-potential areas before competitors do
✅ Reduce costs by avoiding poorly placed, low-traffic stores
✅ Forecast customer demand based on peak hours and neighborhood trends
✅ Enhance digital marketing by targeting local shoppers with real-time, location-based offers
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How It Works
🔹 Use heat maps to identify areas with high or growing foot traffic
🔹 Layer demographic, income, and migration trend data to validate demand
🔹 Forecast future footfall with time series models to prioritize timing and scale
🔹 Match store formats and marketing tactics to audience behavior and movement patterns
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Real-World Impact
A national retailer used foot traffic, migration trends, and competitive benchmarking to optimize its expansion strategy. The result? Better-performing stores in high-opportunity areas, more efficient allocation of marketing dollars, and a measurable boost in same-store sales.
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📩 Want to open stores where people actually shop?
Let’s talk about how external location data can guide your next expansion.
👉 Talk to a Data Expert
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