Retail Location Intelligence
Get granular. Get local. Win share.
Retail location intelligence turns transaction data into a competitive edge. Whether you’re opening stores, monitoring trade areas, or powering spatial analytics, Facteus delivers store-level sales across 5M+ U.S. locations so you can act with confidence.
Clients & Partner types
Unmatched Speed
Shopping mall owners
Predictive
Retailers and restaurants
Massive
Retail Advisory firms
Row-Level
Local and state governments
Row-Level
Location analytics SaaS companies
Row-Level
Point of Interest service providers
Track Shopping Behavior with Local Precision
- See spend trends by store, ZIP code, city, or region—updated daily
- Detect demand surges and seasonal shifts before competitors do
- Spot changes in shopper frequency, basket size, and visit patterns
- Monitor where your customers go next when they stop visiting
- Understand local anomalies that get lost in national rollups
Benchmark Store Performance & Competitive Sales
- Compare your store’s sales to specific competitors across local trade areas
- Identify over- and under-performing locations in near real-time
- Track shifts in market share across regions or categories
- Quantify the impact of competitor openings or closures near your stores
- Map saturation zones to avoid cannibalization or missed opportunities
Power Smarter Platforms with Real-World Sales
- Enrich POI or location intelligence platforms with true transaction volume
- Layer in sales alongside mobility, demographic, and behavioral data
- Support product development for GIS, urban planning, and analytics tools
- Integrate clean, anonymized feeds into SaaS platforms or client deliverables
- Enable predictive models that reflect actual consumer spend—not just proxies
Fuel Economic Development with Real Retail Vitality
- Give cities, states, and agencies a clear view of retail health by trade area
- Support grant-making, zoning, and revitalization efforts with hard data
- Identify underserved retail zones for development or incentive programs
- Provide data-driven justification for infrastructure or public service shifts
- Benchmark economic recovery or distress signals across geographies
Optimize Store Portfolios and Trade Area Strategies
- Identify which stores are lagging vs. peers in the same trade zone
- Detect trade area shifts caused by new competitors or consumer migration
- Tie performance to local dynamics, not just internal metrics
Pick the Right Markets Before Competitors Do
- Rank ZIPs and regions based on real sales opportunity, not just models
- Target high-demand areas with low saturation for new store openings
- Avoid overbuilt markets by understanding local spend density
- Use transaction data to validate or disprove modeled location assumptions
- Accelerate site selection workflows with location-ready intelligence
Prove Impact of Local Promotions and Campaigns
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Measure lift from regional ads, offers, and sponsorships by ZIP
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Track share shifts during and after localized marketing efforts
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Compare performance to control markets with no media spend
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Shorten the feedback loop between activation and optimization
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Attribute spend changes to specific campaigns with clean pre/post data
Flexible Data Access Options
- API – developer friendly access points
- Easily append your existing point of interest data with actual sales and transaction information
Example Data Append:
