CinqDI Modeled Audiences - Psychographics
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**CinqDI Modeled Audiences**
CinqDI offers turnkey addressable audiences that can be activated for advocacy, advertising, and research efforts requiring high accuracy, depth, and speed—far beyond what traditional polling and modeling can deliver.
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**Why CinqDI**
“What people choose to click on or read is a very good proxy for what they are most interested in hearing from a candidate.” — Cook Political Report, citing CinqDI data (June 2025)
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CinqDI’s competitive edge lies in its behavioral foundation: audiences are powered by first-party data from leading U.S. news publications and enhanced with proprietary survey and consumer database integrations. By analyzing what millions of newsreaders choose to engage with, CinqDI creates a new standard for audience intelligence—providing instant, scalable, and accurate insights into the issues, candidates, and psychographics that drive real behavior.
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**CinqDI goes beyond polling and modeling:**
- **Behavior-Based Accuracy:** Captures real-world engagement, not survey opinions: what audiences DO, not just what they SAY.
- **Massive Scale:** Models built on 100K+ real user interactions, far beyond sample-size limitations of polling.
- **Real-Time Speed:** Insights reflect what audiences care about right now, not weeks ago.
- **Granular Psychographics:** Audiences are built from behavioral signals, matched demographics, and survey data to form rich, micro-targeted actionable personas.
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**Psychographic Audiences Overview**
CinqDI offers access to custom psychographic segmentations focused on the role of government and education attitudes. All segments are matched to the voter file and mutually exclusive within the segmentation.
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**Role of Government Segments**
Family First Affluent; Conservative Women of Faith; Diverse & Devout; Establishment GOP Men; Liberal Professionals; Libertarian Millennial Men; MAGA Loyalists; Seniors 4 Safety Net; Working Class Progressives; Skeptical Persuadable Women.
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**Education Segments**
Diverse Skill Builders; Heartland Families; Affluent Alumni; Charter School Crusaders; Faith, Family & 529; Pro Public Education Seniors; Pro Public-School Parents; Young Pro Education Progressives; Career Climbers & Caretakers; Disconnected, Diverse & Day-to-Day.
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**Methodology**
- Voter cohorts segmented by opinions across economic, political, and social issues.
- Uses clustering algorithms and dimensionality reduction to produce mutually exclusive personas.
- Creates rich, multidimensional profiles that go beyond demographics to identify unexpected cohorts.
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**How It Works**
We segment voters into personas based on attitudes and motivations across a broad range of political, economic, and social issues. Clustering algorithms and dimensionality reduction techniques are applied to attitudinal data from the voter file and single-issue models. These models are trained on a sample of 2 million voters, optimized, and applied to the full voter file of over 213 million records.
Each voter is assigned to one mutually exclusive cohort, enabling scalable, high-resolution audience targeting for advocacy and advertising.
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**Contact Us**
Interested in a custom voter insights brief for your campaign, issue, or organization?
Contact Our Team: sales@cinqdi.com
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提供机构:
CinqDI by MV Digital Group
创建时间:
2025-09-25
原始信息汇总
CinqDI Modeled Audiences - Psychographics 数据集概述
数据集基本信息
- 数据集名称: CinqDI Modeled Audiences - Psychographics
- 提供商: CinqDI by MV Digital Group
- 访问权限: 免费
- 访问类型: 无限制访问
数据集描述
CinqDI提供可立即使用的可寻址受众群体,可用于宣传、广告和研究工作,要求高准确性、深度和速度,远超传统投票和建模所能提供的水平。
核心优势
- 行为基础准确性: 捕捉真实世界的参与度,而非调查意见;关注受众的行为,而非言论。
- 大规模数据: 模型基于超过10万次真实用户互动构建,远超投票的样本量限制。
- 实时速度: 洞察反映受众当前关心的问题,而非几周前的数据。
- 精细心理特征分析: 受众基于行为信号、匹配的人口统计数据和调查数据构建,形成丰富、微目标可操作的角色。
心理特征受众概述
CinqDI提供专注于政府角色和教育态度的定制心理特征细分。所有细分均与选民档案匹配,并在细分内互斥。
政府角色细分
- Family First Affluent; Conservative Women of Faith; Diverse & Devout; Establishment GOP Men; Liberal Professionals; Libertarian Millennial Men; MAGA Loyalists; Seniors 4 Safety Net; Working Class Progressives; Skeptical Persuadable Women。
教育细分
- Diverse Skill Builders; Heartland Families; Affluent Alumni; Charter School Crusaders; Faith, Family & 529; Pro Public Education Seniors; Pro Public-School Parents; Young Pro Education Progressives; Career Climbers & Caretakers; Disconnected, Diverse & Day-to-Day。
方法论
- 选民群体根据经济、政治和社会问题的意见进行细分。
- 使用聚类算法和降维技术生成互斥的角色。
- 创建丰富的多维档案,超越人口统计数据,识别意外群体。
工作原理
- 根据选民在广泛政治、经济和社会问题上的态度和动机,将其细分为不同角色。
- 聚类算法和降维技术应用于来自选民档案和单一问题模型的态度数据。
- 模型在200万选民的样本上训练、优化,并应用于超过2.13亿条记录的完整选民档案。
- 每个选民被分配到一个互斥的群体,实现可扩展的高分辨率受众定向。
业务需求
受众激活
- 将受众直接推送到广告平台、客户关系管理系统或客户数据平台,用于实时活动定向。
- 自动化高意图细分在各种渠道的交付,包括付费社交、程序化广告和电子邮件。
- 受众包含稳定标识符,如电子邮件地址、电话号码或物理地址,确保无缝平台集成。
真实世界受众定向
- 为直邮、电话、短信或上门拜访外展工作提供验证的联系数据。
- 通过统一、个性化的信息在线和离线触达同一人。
- 将建模角色与现实世界身份连接,提升营销投资回报率。
跨渠道细分
- 按意识形态、行为或心理特征细分受众,超越简单的年龄和性别人口统计。
- 受众允许触达特定群体,如摇摆选民、捐赠者或有独特行为的人,跨越付费和自有渠道。
- 激活基于行为的受众围绕教育、环境和旅行等主题。
研究、战略与规划
- 受众提供基础数据以创建有效活动。
- 用于构建结合意见、行为和地理位置的定制报告。
- 为顾问、研究人员和活动团队提供可操作的受众洞察,使其能够就信息和战略做出明智决策。
使用示例
识别类似“支持公立学校的单亲家长”的受众用于定向广告活动
sql SELECT * FROM CINQDI.CINQDI_PSYCHOGRAPHICAUD_SAMPLE WHERE MODEL_NAME = Education Personas AND MODEL_LABEL = Pro Public School Parents AND MARITAL_STATUS = Single;
获取受众的人口统计变量分布
sql SELECT AGE_CODE, COUNT(*) AS Count FROM CINQDI.CINQDI_PSYCHOGRAPHICAUD_SAMPLE GROUP BY AGE_CODE ORDER BY AGE_CODE;
技术信息
- 数据刷新: 静态数据
- 地理覆盖范围: 美国(所有州)
- 法律条款: 标准
联系方式
- 销售: sales@cinqdi.com
- 支持: support@cinqdi.com
类别
- 受众激活
- 营销
- 媒体
搜集汇总
数据集介绍

背景与挑战
背景概述
CinqDI Modeled Audiences - Psychographics 是一个基于行为数据的心理特征建模受众数据集,提供高精度、大规模和实时的可寻址受众细分,用于广告、宣传和研究。该数据集通过聚类算法分析选民态度,将受众划分为互斥的群体,涵盖政府角色和教育态度两个维度的分类。
以上内容由遇见数据集搜集并总结生成



