Place360 solutions at the heart of retail network expansion

Using PlaceIQ Retail Spend Analytics to optimise retail networks and open more stores.

The Challenge

A growing retail chain sought to expand their store network but lacked the insights needed to identify optimal locations.

Without understanding customer travel patterns, catchment demographics, or how their store performance compared to similar locations, the property team risked opening underperforming stores.

Traditional site selection relied on intuition and basic demographics, missing crucial spend data needed to benchmark new locations against existing estate performance.

The Impact

PlaceIQ Retail Spend Analytics transformed network expansion strategy, enabling the retailer to identify high-potential locations with 60% greater accuracy.

The spend data revealed optimal catchment sizes and customer travel distances, preventing costly expansion mistakes through performance benchmarking.

New store locations achieved average performance 25% above projections through data-driven site selection, whilst network cannibalisation risks were minimised through catchment overlap analysis.

The Approach
  • Understand customer behaviour by analysing what type of people buy from the brand and how customer behaviour differs between store visits and online purchases.
  • Analyse catchment dynamics to determine how far customers travel to stores and identify catchment population densities for optimal store placement.
  • Evaluate new location potential by assessing catchment demographics, comparing performance benchmarks against existing estate and similar retail locations.
  • Provide benchmark scoring enabling data-driven site selection based on actual spending patterns and customer travel behaviour rather than demographic assumptions.

Ready to optimise your retail network expansion?

Contact us & request a demo