[SAMPLE] Factori | US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights | ...
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https://marketplace.databricks.com/details/847323de-a258-4579-a8e9-9b3a252e9a2f/Factori_SAMPLE-Factori-US-Consumer-Graph-Data---Acquisition-Marketing-&-Consumer-Data-Insights-
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资源简介:
Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.
Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.
1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc.
2. Demographics - Gender, Age Group, Marital Status, Language etc.
3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc
4. Persona - Consumer type, Communication preferences, Family type, etc
5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc.
6. Household - Number of Children, Number of Adults, IP Address, etc.
7. Behaviours - Brand Affinity, App Usage, Web Browsing etc.
8. Firmographics - Industry, Company, Occupation, Revenue, etc
9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc.
10. Auto - Car Make, Model, Type, Year, etc.
11. Housing - Home type, Home value, Renter/Owner, Year Built etc.
Consumer Graph Schema & Reach:
Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:
Data Export Methodology:
Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).
Consumer Graph Use Cases:
360-Degree Customer View:
Get a comprehensive image of customers by the means of internal and external data aggregation.
Data Enrichment:
Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment
Fraud Detection:
Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.
Advertising & Marketing:
Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.
提供机构:
Factori搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集通过调查、数字服务和公共数据源收集美国消费者数据,涵盖地理、人口统计、财务、兴趣、行为等11个类别,用于构建全面的客户画像。数据动态更新,支持每日、每周或每月导出,主要应用于客户数据增强、欺诈检测和精准营销等场景。
以上内容由遇见数据集搜集并总结生成



