- Disconnected retail data and backward-looking sales metrics leave category managers blind to shifting neighborhood dynamics.
- Layering property intelligence on top of this data can help CPG brands understand the physical reality of individual communities.
- Brands that anticipate local demand can tailor their assortment plans to increase sales and position themselves as market experts, strengthening retail partnerships.
Traditional consumer packaged goods (CPG) strategies are built on historical store-level sales or broad ZIP-code demographics. But in modern brick-and-mortar retail, relying on broad, backward-looking data is no longer enough to win the shelf. Neighborhoods evolve, customer needs shift, and the brands that thrive are the ones that focus on where demand is heading tomorrow – not where it was yesterday.
To increase sales, meet consumer demand, and build stronger retail partnerships, leading CPG brands must shift to proactive sales strategies rooted in the physical reality around them. When a leading global CPG brand sought to modernize how it collaborates with retail stores, it turned to Cotality to expand its category intelligence and build a forward-looking assortment strategy.
The challenge: Fragmented, backward-looking data
Category managers are tasked with optimizing shelf space and setting store-level strategies, but their data lives in disconnected silos. Point-of-sale numbers, retailer loyalty feeds, and foot-traffic metrics often require weeks of manual review to uncover local trends and develop planograms.
And even with all this data, CPG brands lack a way to understand the physical environment surrounding each retail storefront, leaving them blind to how neighborhood changes – like a new apartment building or single-family subdivision – might impact local buying behavior.
Without visibility into local housing stock, homeowner migration, and residential construction, category teams struggle to refine inventory management across key product categories. When an assortment analytics model relies on lagging indicators, brands miss the early cues that dictate how local demand is changing.
The solution: Grounding assortment planning in property truth
To achieve store-by-store success, a leading CPG brand turned to Cotality to explore the physical reality of the communities surrounding individual retail stores. By integrating rich property data, including neighborhood demographics, residential real estate patterns, and early growth indicators, category teams gain a better understanding of local consumers: Who is moving into or out of a market, where did they come from, and how does that household context affect demand?
This physical perspective can be layered on top of existing sales and loyalty metrics to optimize everyday shelf decisions, streamlining assortment planning. Instead of treating every store within a market the same way, the brand can tailor product assortments to local living conditions.
For example, a store surrounded by newly built single-family subdivisions with yards and patios signals surging demand for summer cookout items and family-sized packs. Conversely, an influx of high-density apartments calls for smaller packaging and a curated product mix tailored to single-cook households.
The result: Unlocking store-level precision
Cotality helps CPG companies align people, property, and location data to understand who their consumers are, where they live, and where they shop. Understanding housing type, owner versus renter, lot size, and surrounding business context can streamline assortment optimization, informing pack size, category mix, and more.
By using property data to inform local assortment strategies, CPG leaders can:
- Recognize demand signals: Identify where growth is forming months before it appears in scanner data by monitoring migration patterns, builder activity, and ownership transfers.
- Optimize shelfing strategy: Fine-tune your assortment and allocation strategies to ensure the right product types land in the right stores at the right time.
- Build stronger retail partnerships: Come prepared for retail collaboration with proprietary, hyper-local insights your partners can’t find elsewhere, defending valuable shelf space and establishing your position as a trusted advisor.
Anchor your assortment strategy to ground truth
The age of average consumer is over. When CPG brands consider category, shopper, retailer, and point-of-sale data alongside the physical reality of the communities around each store, they stop reacting to past trends and start designing a plan for future growth.
Implementing a predictive, property-backed assortment strategy gives your team the clarity to lead retail conversations with confidence – understanding not only what's happening in a market today, but how that market is likely to change and what actions to consider next.
Ready to transform your assortment analytics? Reach out to our team to learn how property intelligence can help you unlock store-level precision.
