Foursquare Ready-to-Use Audiences - US only - Travel

This data set contains consumer device IDs segmented by behavioral interest and place visitation activity, specifically tied to travel. These 60 audience segments are designed by Foursquare location experts and reflect the most popular targeting segments requested by marketers in the travel vertical. We publish revisions to this data set on a bi-monthly cadence.

We create audiences using a combination of mobile device geolocation data, consumer online interest data, our proprietary, global Places dataset and proprietary technologies. We source mobile device geolocation data from a variety of premium partners, including via our own SDKs, and then validate that data using our proprietary Location Validation technology in order to remove those signals that are of insufficient quality. Then, our proprietary snap-to-place technology determines the specific place that the mobile device user visited by evaluating hundreds of attributes (such as movement detection, business density, popularity of place, hours of operation, time of day, day of week, and frequency of visitation) in order to attach it to a specific point of interest within our proprietary Places dataset. The validated place visit is then added to our device dataset. Finally, mobile devices are classified into related ready-to-use Audiences.

DATA SCHEMA:

- consumer_id: MAID (IDFA or Android ID)
- id_type: Enumerated value indicating whether the consumer_id is an IDFA or an Android ID
- segment_ids: Array of FDC codes representing the segments within the given Data Set that the consumer_id belongs to

PRIVACY INFORMATION:

We apply rigorous practices around data privacy and ethics and we implement data scrubbing technologies to ensure compliance with CCPA, GDPR, COPPA and other industry standards. Our audiences do not contain device IDs for consumers under 17 years of age. For more info on our privacy practices, please visit https://foursquare.com/privacy/

搜集汇总

背景与挑战

背景概述

该数据集提供美国旅行领域的消费者受众细分，包含60个基于地理位置和行为兴趣划分的受众类别，由Foursquare专家设计并每两月更新一次。数据通过整合移动设备地理位置、在线兴趣和专有场所数据库生成，并遵循严格的隐私标准以排除未成年用户。