CinqDI Modeled Audiences - Issues

**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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**Issue Audiences Overview**

CinqDI offers access to 60+ issue-based audiences defined by their beliefs, opinions, and attitudes on specific public policy or social issues. These audiences are segmented based on their stance on a particular topic. All audiences are matched to the voter file and assigned individual-level probability scores. CinqDI flags the top 10–15% of modeled audiences, providing clients with high-intent segments to activate efficiently.

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**Economic & Fiscal Issues**

Economic optimists, economic pessimists, America first spenders, defense budget reformers, government investment supporters, and voters who support or oppose cutting Medicaid and social programs.

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**Energy & Environment**

Individuals with opinions on climate change (naturalists, crisis believers, and pragmatists), and people who support or oppose different energy sources like natural gas, solar, and wind power. Also includes those who oppose large-scale solar or natural gas pipelines.

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**Education**

Individuals with opinions on school-related issues, including 9/11 education, arming teachers, book banning, parental influence in the classroom, and student loan forgiveness.

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**Healthcare**

Individuals with opinions on abortion, contraception, and access to IVF.

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**Immigration**

Individuals with opinions on legal and illegal immigration, including whether it strengthens or threatens the country, as well as those who support or oppose stronger border controls.

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**Social & Political Issues**

Individuals with opinions on a range of social and political topics, including corporate free speech, crime reduction, gun control, and LGBTQ+ rights and advocacy. Also includes voters who are either motivated to vote for or against specific stances on issues like gun rights and abortion, and voters who view the Supreme Court as a voting issue.

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**Voter Outlook & Priorities**

Voters defined by their general outlook on the country's direction, including change-seeking and optimistic Americans. Also includes pragmatic conservatives and third-party curious voters.

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**Methodology**

- Built from proprietary in-article and panel-based surveys.
- Machine learning models trained on national voter file + survey responses.
- Scores each voter based on likelihood to support an issue or sentiment.
- Produces binary “Yes/No” groupings, validated against holdout datasets.

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**How It Works**

We identify voters likely to support a specific issue or sentiment using in-house surveys embedded in online content, panels, email, and SMS. Responses are matched—privacy-compliantly—with hundreds of demographic and behavioral attributes from the national voter file. Predictive machine learning models trained on this data assign each voter a score from 0 to 100. A cutoff threshold defines audience membership, and models are validated against holdout populations before being applied to the full voter file to produce custom, issue-based audiences ready for activation.

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**Contact Us**

Interested in a custom voter insights brief for your campaign, issue, or organization?

Contact Our Team: [e-mail]

原始信息汇总

CinqDI Modeled Audiences - Issues 数据集概述

数据集基本信息

• 数据集名称: CinqDI Modeled Audiences - Issues
• 提供商: CinqDI by MV Digital Group
• 访问权限: 免费
• 访问类型: 无限制访问
• 数据刷新频率: 静态数据
• 地理覆盖范围: 美国（所有州）
• 云区域可用性: AWS（加拿大中部、美国东部商业政府-北弗吉尼亚、美国东部-北弗吉尼亚、美国东部-俄亥俄等15个区域）

数据集描述

CinqDI提供可立即使用的可寻址受众，可用于宣传、广告和研究工作，需要高准确性、深度和速度，远超传统投票和建模所能提供的范围。

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10万+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注点，而非几周前的数据。
• 精细心理特征: 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、微目标可操作角色。

议题受众概述

CinqDI提供60多个基于议题的受众，根据他们对特定公共政策或社会议题的信仰、意见和态度进行定义。这些受众根据对特定议题的立场进行细分。所有受众均与选民档案匹配，并分配个体层面的概率分数。CinqDI标记前10-15%的建模受众，为客户提供高意向细分以便高效激活。

议题分类

• 经济与财政议题: 经济乐观者、经济悲观者、美国优先消费者、国防预算改革者、政府投资支持者、支持或反对削减医疗补助和社会项目的选民。
• 能源与环境: 对气候变化有意见的个人（自然主义者、危机信仰者和务实主义者），以及支持或反对不同能源来源（如天然气、太阳能和风能）的人。还包括反对大规模太阳能或天然气管道的人。
• 教育: 对学校相关议题有意见的个人，包括9/11教育、武装教师、禁书、家长在课堂中的影响力以及学生贷款减免。
• 医疗保健: 对堕胎、避孕和试管婴儿访问有意见的个人。
• 移民: 对合法和非法移民有意见的个人，包括移民是加强还是威胁国家，以及支持或反对更强边境控制的人。
• 社会与政治议题: 对一系列社会和政治话题有意见的个人，包括企业自由言论、减少犯罪、枪支控制和LGBTQ+权利与倡导。还包括因特定议题立场（如枪支权利和堕胎）而投票支持或反对的选民，以及将最高法院视为投票议题的选民。
• 选民展望与优先事项: 根据对国家方向的一般展望定义的选民，包括寻求变革和乐观的美国人。还包括务实保守派和第三方好奇选民。

方法论

• 基于专有的文章内和小组调查构建。
• 机器学习模型基于全国选民档案和调查响应训练。
• 根据支持议题或情绪的可能性对每个选民进行评分。
• 产生二元的“是/否”分组，并通过保留数据集进行验证。

工作原理

通过在线内容、小组、电子邮件和短信中嵌入的内部调查，识别可能支持特定议题或情绪的选民。响应与全国选民档案中的数百个人口统计和行为属性进行隐私合规匹配。基于此数据训练的预测机器学习模型为每个选民分配0到100的分数。截止阈值定义受众成员资格，模型在应用于完整选民档案之前通过保留人群进行验证，以产生可立即激活的定制议题受众。

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。跨多种渠道自动化高意向细分的交付。
• 真实世界受众定向: 使用验证的联系数据支持直邮、电话、短信或上门拜访外展工作。通过统一个性化消息在线和离线触达同一人。
• 跨渠道细分: 根据意识形态、行为或心理特征细分受众，超越简单年龄和性别人口统计。
• 研究、战略与规划: 提供基础数据以创建有效活动。用于构建结合意见、行为和地理的定制报告。

数据字典

• 表名: CINQDI_ISSUEAUD_SAMPLE
• 排序: 按名称升序排列

列名与类型

• AGE_CODE: Varchar
• CELL_PHONE: Varchar
• CITY: Varchar
• COUNTY: Varchar
• EMAIL: Varchar
• ETHNIC_CODE: Varchar
• ETHNIC_GROUP: Varchar
• FIRST_NAME: Varchar
• HAS_EMAIL: Varchar
• HOUSE_NUMBER: Varchar

使用示例

识别类似“想要自由言论保护的西班牙语使用者”的受众用于定向广告活动

sql SELECT * FROM CINQDI.CINQDI_ISSUEAUD_SAMPLE WHERE MODEL_NAME = protect_free_speech AND MODEL_LABEL = YES AND LANGUAGE_CODE = Spanish;

获取受众的人口统计变量分布

sql SELECT AGE_CODE, COUNT(*) AS Count FROM CINQDI.CINQDI_ISSUEAUD_SAMPLE GROUP BY AGE_CODE ORDER BY AGE_CODE;

法律条款

• 标准条款: 适用标准法律条款

提供商信息

• 提供商: CinqDI by MV Digital Group
• 平台描述: CinqDI汇集专有第一方上下文数据、投票研究数据和选民档案数据，提供对受众动机的深入理解，从而开发基于档案的模型。

联系方式

• 销售: [e-mail]
• 支持: [e-mail]