Online sentiment KPIs per POI both overall and segmented by platform ( Airbnb TripAdvisor Facebook etc.).POI details such as name brand address price range indicators opening hours and available facilities.This database includes amongst others the following key variables (see The Data Appeal in CARTO's Spatial Data Catalog): Together they provide competitive market and Location Intelligence to enhance site neighborhood and visitor selection along with business profiling and performance monitoring across sectors.įrom today CARTO users can start leveraging the "Places & Sentiment" data in their location intelligence analyses with data available in multiple countries and in standardized formats. In detail it defines the real customer perception of goods and services and pinpoints what may be influencing purchasing behaviors of current and future customers.
On the other hand Sentiment data measures the level of satisfaction expressed online by users of a service product brand or place. In essence Places data refers to the detailed listing of any Point of Interest (POI) including but not limited to its business name contact information address information available facilities and its provided services. When paired together Places and Sentiment data are a powerful duo for Spatial Data Science. In order to further enrich the geospatial analyses of our users in sectors such as CPG Hospitality & Entertainment Retail and Real Estate CARTO is pleased to announce our new partnership with The Data Appeal Company (TDAC) leaders in POI data and sentiment analysis and the inclusion of their "Places & Sentiment" data in our Data Observatory. Having quick access to high-quality data from a range of providers and sources is crucial in these and other cases and we are always working to improve availability for our users. We have previously looked at how sentiment data can be used in a range of use cases from identifying CPG demand hotspots to COVID-19 recovery analysis and pinpointing behaviors related to spending data. In fact quite often there can be a dizzying array of so-called sentiment data attached to individual locations which is where effective spatial analysis comes in. When making these sorts of decisions we now have a wealth of information available to us beyond simply where a place is and its opening hours.
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