ShareThis Behavioral Data Feed

The ShareThis Data Set Social Data Feed provides unparalleled access to our global network of proprietary Sharing Intelligence. Scan and analyze 18 billion social events per month for patterns in consumer behaviors, audience insights, modeling, and analysis. Gain unfiltered insights into page URLs, users IP addresses, and browser agents. Social Data feed also provides powerful enrichment for categorization, keyword extraction, entities and concepts.

Schema / Columns Available: Base Signals: ID, URL, Standard Timestamp, IP, User Agent, Browser Family, Device Type, Os Event Classification: Referral Domain, Mapped Event (share, search, pv, etc), Channel (social site for shared events), Search Query Enrichment: Keywords, Entities, Concepts, Categories, Analyzed Text Additional Add Ons: Cross Device IDs, Language, Location Info, Demo

***Example Use Cases***

Insights & Analytics -- ShareThis data is overlaid against first party data to understand your audience in detail Example: Marrying offline and online Data- ShareThis provides a major credit card company its social data feed for activating their offline data set for use in insights and analytics, modeling, and targeting. ShareThis’ financial client knows their customers’ shopping, spend, and demographic information, but doesn’t know their real-time interests. The client uses ShareThis data to understand in-the-moment consumer behavior to inform targeting and messaging and to develop marketing campaigns.

Modeling -- A data buyer can build their own models using ShareThis data, enabling them to find more of their audience Example: Predictive Modeling- A partner uses ShareThis data to build predictive models (based on survey respondents) to reach their audience’s personality traits with the right message.

Targeting -- Build unique audiences from the raw or enriched feed Examples: Categories: Each event on a page receives a classification according to the Google Taxonomy which can easily be used to segment users.
**Keywords/Metadata/Entities: If you have a more granular use case or target audience you can segment users by groupings of keywords. An example might be for the newest Marvel Movie using the movie title, actors, actresses, etc.
**Location Information: This would allow you to segment users by their location for any geo targeting needs
**Demo: We also offer a demo feed where you can segment users on their gender or age bands. B2B: We also have business information derived from the IP address which includes the ASN Number (number tied to an organization's IP) and ASN Organization ( the organization name of that IP) which would allow you to group users by industry or company size. Can use IP Mapping (residential vs business), NLP, look at time of day or day of week

搜集汇总

背景与挑战

背景概述

该数据集提供全球社交行为数据，每月覆盖约180亿次社交事件，包括页面URL、用户IP地址和浏览器代理等基础信号，以及事件分类、关键词、实体和概念等丰富信息。它支持洞察分析、建模和定向等多种应用，例如结合第一方数据进行受众分析、构建预测模型或基于分类、位置和人口统计细分用户。