
CAP Locations Competitors & Alternatives
Looking for the best Point of Interest (POI) Data provider for your business? Better play the field. Discover data-driven solutions for Company Risk Analysis, Competitive Intelligence, and Competitor Analysis. Find reviews for CAP Locations left by Datarade users, and compare CAP Locations’ data products and performance to the most popular competitors and alternatives. Xtract, Predik Data-driven, SafeGraph, and Echo Analytics are the top competitors and alternatives to CAP Locations.
Top Competitors & Alternatives to CAP Locations
Xtract
It has been a great experience working with Xtract.io. Their data quality was top-notch, helping us strategize new locations for business expansion. Thank you, team, for giving us the right datasets that we require to expand our store outlets.
Predik Data-driven
We wanted to analyse the foot traffic data across Sydney. Predik provided quality traffic density heatmap and raw foot traffic data across Sydney Australia to support us with the use case. Highly recommended.
SafeGraph
We are using safegraph data to research on the foot traffic of airports in the U.S. We find it very helpful with lots of documentation. The customer support is awesome. You can post in the slack channel and got a response very quickly
Echo Analytics
The recent webinar by Echo on their data collection process was excellent, very well explained and lucid. I understood how complex the process is to clean the data. Their product is a really interesting one.
dataplor
My firm decided to make the switch over to dataplor from a manual data collection effort once we saw measurable lift in accuracy, coverage, and cost-savings. Their resolution was far beyond what we could achieve on our own, and we no longer had to juggle the labor-intensive process of duplicates, new places, and pulling in updates. We now have a reliable stream of data in difficult markets that is high-fidelity and always current. And because they are global, adding new datasets is a breeze.
Factori
Mobility data was used to track where people flock during quarantine, and to understand how people moved out of the urban centers and to the provinces. Might also be used for retail clients to understand what adjustments are needed to adapt better to the situation.
Silencio Network
GapMaps
We use GapMaps’ data offering extensively to identify and approve locations for Anytime Fitness sites across Southeast Asia. This data helps Inspire Brands Asia make informed decisions, ensuring that each new gym location meets our strategic criteria and has the potential for success. The insights from GapMaps enable us to understand market demographics, competition, and accessibility, which are crucial for our expansion plans.
Matrixian
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Frequently asked questions about CAP Locations’ alternatives & competitors
What’s the competitive advantage of CAP Locations?
CAP’s shopping center data stands out due to its quality, accuracy, and comprehensive coverage of over 44,000 shopping centers in the U.S. and Canada, tracking 5.69 billion square feet of GLA. Key Differentiators ✅ Data Accuracy & Quality Continuously Updated: CAP monitors thousands of sources to provide real-time updates. Hand-Drawn Boundaries: Shopping center polygons are manually drawn and verified using the latest satellite imagery. Multi-Staged Geocoding: Uses proprietary geocoding with human verification, ensuring over 80% of geocodes are manually reviewed. ✅ Superior Service & Support A dedicated Quality Assurance team utilizes machine learning and proprietary algorithms to ensure unmatched accuracy. Comparison to Competitors 🔹 SiteSeer: Focuses on store analytics but lacks CAP’s precision in property data. 🔹 Placer.ai: Provides foot traffic insights but does not match CAP’s depth in shopping center property details. Bottom Line CAP offers highly accurate, continuously updated shopping center data with rigorous validation processes, making it the most reliable choice for retailers, brokers, and analysts.
What are the best alternatives to CAP Locations?
Xtract, Predik Data-driven, SafeGraph, Echo Analytics, dataplor, Factori, Silencio Network, GapMaps, Matrixian, and DRAKO