QUADRANT DATA OVERVIEW

Product Overview

Data Dictionary

Global Data Counts

About Mobile Location Data

 

RESOURCES

Cross Account Bucket Access

A. AWS S3

 

Getting Started with Quadrant Mobile Location Data

A. Create a Database, Table and Partition

B. How To Run Basic Location Data Queries

i. Scale and Trend

ii. Depth

iii. Accuracy

C. How Geohash Works (Coming Soon)

 

All You Need To Know About Data Evaluation

A. Best Practices

B. SDK vs Bidstream Data

C. Data Evaluation using AWS Athena

 

Location Data Algorithms and Queries

A. Geo-fencing Query

B. Footfall Query

C. Nearest POI Model

D. Location Algorithms

 

SDK INTEGRATIONS

Android Integration

iOS Integration

Integrate with Unity3D for Android

Integrate with Unity3D for iOS

 
ASIA PACIFIC DATA ALLIANCE

About The Alliance

The Data

Use Cases & Data Science Algorithms

Access APAC Data Alliance Data with AWS S3

 
MEDIA LIBRARY
FREQUENTLY ASKED QUESTIONS

 

 

 

 

LOCATION DATA ALGORITHMS AND QUERIES


GEO-FENCING QUERY

A geofence is a virtual fence around real-world locations, such as, restaurants, airports, public venues or shopping malls. This tool allows Quadrant Platform’s users to set a customized geofence to obtain the Ad-IDs of distinct users that fall within the specified area, that can vary in scale and shape – as small as a store or as big as a city.

Ad-ID is the industry standard for identifying advertising assets across all media platforms, increasing the transparency and accountability in the advertising marketplace. Quadrant Geofencing Query of Ad-IDs enables a more granular audience measurement across multiple platforms, allowing delivery of targeted messaging and creatives to the right people, at the right moment at the right place.

Types of Geo-fencing query:

  • Circle Query                                       Polygon Query
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