Add intelligence to your data lake

Analyse real-world foot traffic data to assess consumer behaviour across various locations. Understand how footfall patterns impact property value, investment strategies, and public space optimisation.

Leverage the footfall index to make data-driven decisions about location performance over time. Identify trends in consumer movement to enhance operations, asset management, and community engagement.

Understand foot traffic fluctuations across different days of the week. Use these insights to optimise property performance, improve customer engagement, and inform resource allocation strategies.

Capture detailed insights into foot traffic patterns throughout the day. This data supports optimal tenant placement, marketing strategies, and public service delivery by targeting peak traffic times.

Analyse footfall data segmented by age groups to identify key demographic trends. Tailor offerings, property management strategies, or public services to meet the needs of specific age groups.

Footfall demographics - disposable income band: Select high-potential new store locations by understanding customer spending power with disposable income data. Develop pricing and promotion strategies to boost revenue.

Identify optimal new store locations and minimise cannibalisation risk with shopper catchment data. Tailor marketing efforts to attract local shoppers, increasing store loyalty.

Use retail centre heatmaps to identify prime locations for new and existing stores. Visualise high-traffic areas to optimise store placement and product displays, driving sales.

Increase customer engagement by selecting new store locations with high dwell time. Understand how long customers stay to improve layout, product placement, and in-store promotions.

Prioritise high-spend locations for new stores with total spend rank data. Focus marketing efforts and inventory on top-performing sites to maximise sales and profitability.

Make informed decisions on new store locations with comprehensive geo-spend data. Understand spending patterns across different areas to optimise store placement and marketing strategies.

Boost revenue by selecting new store locations that attract high-spending tourists. Use tourist spend data to tailor marketing and product offerings for visiting customers.

Optimise inventory and select new store locations with spending data by retail category. Understand customer preferences and allocate resources to high-demand products, increasing sales.

Attract travellers and boost revenue by selecting new store locations with high accommodation spend. Tailor marketing strategies and offerings to meet the needs of visiting customers.

Drive sales by targeting new store locations with high automotive spending. Use spending data to attract automotive customers and increase revenue in this high-value sector.

Enhance luxury segment strategies by selecting new store locations with high beauty and luxury spending. Tailor marketing and product offerings to attract high-spending customers.

Optimise stock and select new store locations with consumables spending data. Ensure the right products are available to meet customer demand and increase sales.

Boost entertainment offerings and select new store locations with spending insights. Tailor your product range and marketing strategies to meet the needs of entertainment seekers.

Improve grocery stocking and select new store locations with detailed spend data. Ensure the right products are available to meet customer demand and increase sales.

Enhance nightlife offerings and select new store locations with spending insights. Tailor your product range and promotions to attract nightlife customers and boost sales.

Optimise service offerings and select new store locations with spending data. Attract and retain customers by meeting their service needs and increasing revenue.