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PLACES PACKAGE
Our Places datasets provide insights on specific Points-of-Interest (POIs) – helping you collect all the crucial business details on the most relevant locations for you.
WHY PLACES DATA?
The goal of this package is to ensure that you do not have to jump through unnecessary data analyses in order to achieve what you need to.
After years in the Location Data space, we identified some of the disparities when it comes to accessing and using this data. For example, the lack of high-quality POI information that is good enough for data scientists to use, the effect of weak POI information on foot traffic attribution, etc.
POI data – also known as Places data – gives you information on real-world locations, and explains why these locations might be interesting to you and why.
It can be everyday locations, such as malls, restaurants, grocery stores, etc., helping you get an actual representation of key locations and places in the physical world.
How is our Places data valuable?
Echo’s Places data is built from a combination of public and private data sources and the use of our proprietary algorithm and human verification system to obtain the most accurate and updated business & geographical information of a Place.
Data from reliable sources
Delivered wherever you
work in every format
We provide you with Geospatial datasets that are built
around
3 core principles
We have a vigorous sourcing
and cleansing process to provide the most accurate insights and avoid faulty data analyses.
We commit to being 100% transparent regarding non-Pll
data collection, and strictly follow GDPR regulations to respect data privacy.
Our ultimate goal is to ensure our customers conduct their data-driven projects efficiently and gain more value with our datasets.
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POINTS-OF-INTEREST (POI) DATA
Combining Mobility Insights with POI data enables companies to map activity around their area of interest, for a more representative analysis.
CROSS VISITATION ANALYSIS
Coming Soon
Analysis of foot traffic around an area, helping companies better understand patterns of consumer behaviour
