How can we use spatial data to facilitate better retail experiences?

We applied mixed-methods research at a confidential flagship retail location to correlate customer engagement (behavior, interactions, and sentiment) and spatial characteristics (connectivity, visibility, and activation) with retail outcomes (quality of experience, purchase behavior). This integrated approach included surveys, field observations, shop-along interviews, and spatial analytics. We leveraged proprietary, mobile surveys validated from prior Experience Index (EXI) research to capture the individual, in-store experience across core metrics. We measured and analyzed spatial dimensions and mapped the customer journey by gathering in-store movement and behaviors, and analyzed patterns using machine learning processes.