For years, retail development teams have pieced together a patchwork of reports—census block groups, trade areas, demographics, psychographics, and traffic counts—just to identify potential retail sites. 

But why, with all the new data sources available such as mobile movement, credit card, social, and segmentation, does it take so long to identify the best sites in the market?

What if you could instantly see where your top customer segments actually shop—down to the retail node?

In this webinar, we’ll introduce Customer Nodes, a new intelligence layer from Spatial.ai and BI Spatial that combines segmentation, credit card, and mobility data to deliver an unprecedented view of consumer movement and demand. 

Using our simple 3-step framework—Measure, Match, Map—you’ll see how weeks of analysis can now be done in seconds.

You’ll learn how to:

• Reduce Analysis Time: Reduce site prioritization and whitespace analysis from weeks to seconds.
• Optimal Site Count & Spacing Precision: Estimate the maximum number of viable sites in a market and ideal spacing between them by mapping customer visit density at the retail node level
• Improve AUV: Improve average unit volume (AUV) by selecting retail nodes with verified customer gravity.
• Hit Rate of Site Approvals: Increase the percentage of approved sites that reach or exceed revenue expectations by better aligning with customer segments.
• Market Expansion Efficiency: Prioritize markets and submarkets with high customer density to reduce scouting and travel costs.
• Cross-Team Alignment Speed: Shorten the time required to align real estate, marketing, and analytics teams on market strategy.

Whether you're expanding into new markets or optimizing existing trade areas, this webinar will show you a faster, smarter way to grow—backed by real behavior, not assumptions.