Foursquare Ready-to-Use Audiences - US only - Business & Finance

This data set contains consumer device IDs segmented by behavioral interest and place visitation activity specific to the Business & Finance vertical. These 135 audience segments are designed by Foursquare location experts and reflect the most popular targeting segments requested by marketers. 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: Device ID (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

For more info about the data schema and data dictionary (i.e., definition of audience codes), please visit https://developer.foursquare.com/docs/build-with-foursquare-audiences

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/.

NEED HELP?

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搜集汇总

背景与挑战

背景概述

该数据集提供了美国地区商业与金融垂直领域的135个受众细分，基于设备地理位置和兴趣行为数据构建。它通过多源数据整合和隐私保护技术生成，定期更新，适用于营销目标定位。