Compare ShopperTrak (Sensormatic) to CoreLogic head to head on Blurbs

Blurbs comparison of ShopperTrak (Sensormatic) 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.

Full Blurb

ShopperTrak (Sensormatic)

"Enhances retail operations with data-driven insights."

Focused on Retail Performance & Commerce Attribution .

Sensormatic turns retail data into actionable insights that improve operations and decision-making. By focusing on inventory intelligence, loss prevention, and shopper traffic analytics, they help retailers streamline operations. Their tech supports better customer experiences and improved sales through smart, predictive analytics tailored to today's retail environment.

Seamless Source Tagging

Sensormatic claims that their Source Tagging solution reduces shrink and increases revenue through an integrated approach with suppliers.

Inventory Intelligence Platform

Sensormatic claims their Inventory Intelligence solutions provide item-level visibility across the retail enterprise to maximize revenue.

Traffic Analytics Insights

Sensormatic claims their ShopperTrak traffic analytics enable understanding shopper patterns to enhance customer experiences and conversions.

Full Blurb

CoreLogic

"Comprehensive property data solutions for diverse industries."

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.