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MOBILE LOCATION DATA RESOURCES
TECH DOCS Cross Account Bucket Access - AWS Integration Create a Database, Table and Partition How To Run Basic Location Data Queries
PUBLISHER SOLUTIONS Consent Management Knowledge Base
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Geofence Circle Query
The Circle Geofence Query returns distinct Ad-IDs that fall within the specific circular geofence. Ad-ID is the industry standard for identifying advertising assets across all media platforms. Using this query, we can set a circular geofence and obtain the distinct users who are spotted within this circular geofence. This query can be used in multiple scenarios such as targeted advertising where you want to target users who are spotted in the vicinity of a specified Point Of Interest (POI).
- Description: Geofence/Extract nearby events within a proximity distance
Geofence Polygon Query
The Geofence Polygon Query returns distinct Ad-IDs which fall within a given geofence. Ad-ID is the industry standard for identifying advertising assets across all media platforms. Using this query, we can set a polygon geofence and obtain the distinct users who are spotted within this polygon. This query can be used in multiple scenarios, such as targeted advertising where you want to target users who are spotted within the area of a specified polygon geofence.
- Description: Geofence/Extract nearby events within a polygon.
Nearest POI Basic Model
The Quadrant Nearest POI Basic Model is a machine-learning model built by Quadrant to identify the nearest POI for a given location's coordinates based on latitude and longitude values. This model is a python-based model built using scikit learn library. It was trained using K-Nearest-Neighbours (KNN) and can also be deployed in Apache Spark framework using PySpark library.
- Description: Predict the nearest POI
Circle Geofence Footfall Query
The Circle Geofence Footfall Query returns daily footfall of a specified circle geofence. Using this query, we can set a circular geofence and obtain the daily footfall within this region. This query can be used in multiple scenarios suck as footfall estimation or understanding daily traffic of the mentioned region.
- Description: Calculate footfall within a proximity distance.
Polygon Geofence Footfall Query
Quadrant Geofence Polygon Query returns distinct Ad-IDs which fall within a given geofence. Ad-ID is the industry standard for identifying advertising assets across all media platforms. Using this query, we can set a polygon geofence and obtain the distinct users who are spotted within this polygon. This query can be used in multiple scenarios, such as targeted advertising where you want to target users who are spotted within the area of a specified polygon geofence.
- Description: Calculate footfall within a polygon
Nearest POI Advanced Model
The Nearest POI Advanced Model is a machine-learning model built by Quadrant to identify the nearest POI for a given location's coordinates based on latitude and longitude values. This model is a python-based model built using scikit learn library. It was trained using K-Nearest-Neighbours (KNN) and can also be deployed in Apache Spark framework using PySpark library.
- Description: Predict the nearest POI; returns more results
- Geography: Singapore but can be trained with a POI database from other countries
- Output: Events/Rows of Nearest POI location name, address, category, sub-category
- Code: Written using Python
- Deployment: Available to scale on big data
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