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Blurbs comparison of RetailNext and CoreLogic
Learn about how these Data, Analytics and Insights vendors stack up against each other by checking out our blurbs, claims, and case studies.
RetailNext
"Tracks digital ads for multi-channel retailers."
Focused on Retail Performance & Commerce Attribution and Shopper Marketing Data .
Redirecting helps marketers optimize ad performance across digital channels by providing actionable insights. It streamlines ad tracking and consolidates data, allowing for more precise targeting and improved engagement. Users can effortlessly manage campaigns while staying updated on the latest trends and shifts in the marketing world to boost ROI.
Advanced analytics capabilities
RetailNext claims that its platform provides best-in-class insights into store performance, security, and compliance at scale with a fully integrated suite of products.
Innovative traffic solution
RetailNext claims that its Traffic 2.0 system is the most advanced traffic system ever built, accurately measuring foot traffic to stores in real-time.
Comprehensive video security
RetailNext claims that its video security solution offers high-resolution recorded video and instant access for audits, ensuring the safety of associates, customers, and merchandise.
CoreLogic
"Comprehensive property data solutions for diverse industries."
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Cotality empowers marketers by synthesizing vast property data into actionable insights. Their tools streamline decision-making, helping identify growth opportunities, assess risks, and optimize strategies across sectors. Cotality's depth in data aligns well with complex market needs, making it easier to navigate the evolving landscape confidently.
Unrivaled property data technology
CoreLogic claims that they power businesses with unmatched property data, insights, and technology.
Precision marketing insights
CoreLogic claims that they provide shopper insights surpassing traditional foot traffic methods.
Accurate valuation models
CoreLogic claims that they offer collateral valuation with machine learning models that boast 98% accuracy.