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Factori USA Consumer Graph Data | socio-demographic, location, interest and intent data | E-Commere |Mobile Apps | Online Services

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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. Using Factori Consumer Data graph you can solve use cases like: # Acquisition Marketing Expand your reach to new users and customers using lookalike modeling with your first party audiences to extend to other potential consumers with similar traits and attributes. # Lookalike Modeling Build lookalike audience segments using your first party audiences as a seed to extend your reach for running marketing campaigns to acquire new users or customers And also, CRM Data Enrichment, Consumer Data Enrichment B2B Data Enrichment B2C Data Enrichment Customer Acquisition Audience Segmentation 360-Degree Customer View Consumer Profiling Consumer Behaviour Data ---

我们的消费者数据通过调研、数字服务及公开数据源完成收集与聚合。我们依托高效的用户画像算法,仅采集并接入新鲜可靠的数据点。本公司的全维度数据增强解决方案涵盖多类数据集,可助力您填补客户数据缺口、更深入地洞察消费者群体,并打造卓越的客户体验。 1. 地理信息:城市、州、邮政编码(ZIP)、县、核心统计区域(CBSA)、人口普查片区(Census Tract)等。 2. 人口统计特征:性别、年龄段、婚姻状况、语言等。 3. 财务信息:收入区间、信用评级区间、信贷类型、净资产区间等。 4. 用户画像:消费者类型、沟通偏好、家庭类型等。 5. 兴趣偏好:内容、品牌、购物行为、爱好、生活方式等。 6. 家庭信息:子女数量、成年家庭成员数量、IP地址等。 7. 行为特征:品牌偏好、应用使用情况、网页浏览行为等。 8. 企业人口统计学特征(Firmographics):行业、企业、职业、营收等。 9. 零售采购信息:门店、品类、品牌、库存单位(SKU)、数量、价格等。 10. 汽车相关信息:汽车品牌、车型、类型、生产年份等。 11. 住房信息:住宅类型、房产价值、租户/房主、建造年份等。 消费者图谱架构与触达范围:本公司的数据触达范围代表各分类下的可用数据总量,包含国家归属、月活跃用户(MAU)、日活跃用户(DAU)及月度位置访问记录等属性。 数据导出方法:由于我们采用动态数据采集模式,因此会根据适配的周期(每日/每周/每月)通过最契合的方式提供最新的数据与洞察。 消费者图谱应用场景: #360度客户视图:通过内部与外部数据聚合,全面刻画客户的完整画像。 #数据增强:依托线上至线下的消费者画像构建完整的受众细分群体,通过用户数据增强提升广告投放精准度。 #欺诈检测:借助多类数字(网页与移动)身份验证真实用户,识别异常或欺诈行为。 #广告与营销:洞察受众的人口统计特征、兴趣偏好、生活方式、爱好与行为,打造精准营销活动。 依托Factori消费者数据图谱,您可解决如下应用场景: #获客营销:通过以您的第一方受众群体为种子的相似受众建模,触达具备相似特征与属性的潜在消费者,扩大获客覆盖范围。 #相似受众建模:以您的第一方受众群体为种子构建相似受众细分群体,拓展触达范围以开展营销活动,获取新用户或客户。 此外还涵盖以下场景:客户关系管理(CRM)数据增强、消费者数据增强、企业对企业(B2B)数据增强、企业对消费者(B2C)数据增强、客户获取、受众细分、360度客户视图、消费者画像、消费者行为数据。
提供机构:
Factori
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集提供美国消费者的综合画像,包括地理、人口统计、财务、兴趣等11类详细信息,适用于客户分析、精准营销和欺诈检测等场景。数据通过调查和数字服务动态收集,定期更新,确保准确性和时效性。
以上内容由遇见数据集搜集并总结生成
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