CinqDI Modeled Audiences - Behavior

**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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**Behavior Audiences Overview**

CinqDI offers access to 40+ behavior-based audiences defined by their actions, habits, and stated intentions. 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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**Consumer & Lifestyle Behaviors**

Pet owners (cat/dog), cosmetic surgery seekers, frequent travelers, affluent vacationers, beach vacation planners, hotel-first travelers, international vacation planners, luxury vacation planners, fitness regulars, and cable consumers.

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**Future & Planned Actions**

EV conditional buyers, EV non-buyers, EV potential buyers, career changers, likely to pursue professional training, graduate school, higher education, likely to donate to university, vocational education, and parents of teenagers.

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**Civic & Social Engagement**

Adult caretakers, motivated donors, activists, Pride event attendees, and primary voter segments.

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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]

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原始信息汇总

CinqDI Modeled Audiences - Behavior 数据集概述

数据集基本信息

• 数据集名称: CinqDI Modeled Audiences - Behavior
• 提供商: CinqDI by MV Digital Group
• 访问权限: 免费，无限访问
• 数据刷新频率: 静态数据
• 地理覆盖范围: 美国（所有州）

数据集描述

CinqDI 提供基于行为的可寻址受众群体，适用于需要高准确性、深度和速度的宣传、广告和研究工作，超越了传统投票和建模的能力。

核心优势

• 行为基础: 受众群体由美国领先新闻出版物的第一方数据提供支持，并通过专有调查和消费者数据库集成进行增强。
• 实时性: 洞察反映受众当前关心的问题，而非几周前的信息。
• 大规模建模: 基于超过10万真实用户互动构建模型，超越投票的样本量限制。
• 精细心理特征: 受众从行为信号、匹配的人口统计数据和调查数据构建，形成丰富的、可微目标定位的可操作人物画像。

受众群体类型

• 消费者与生活方式行为: 包括宠物主人（猫、狗）、整容手术寻求者、频繁旅行者、富裕度假者、海滩度假计划者、酒店优先旅行者、国际度假计划者、豪华度假计划者、定期健身者和有线电视消费者。
• 未来与计划行动: 包括电动汽车有条件购买者、电动汽车非购买者、电动汽车潜在购买者、职业变更者、可能追求专业培训者、研究生院、高等教育、可能向大学捐赠者、职业教育和青少年父母。
• 公民与社会参与: 包括成人照顾者、积极捐赠者、活动家、Pride活动参与者和初选选民群体。

数据字典

• 表名: CINQDI_BEHAVIORAUD_SAMPLE
• 主要列:
  • FIRST_NAME (Varchar)
  • MIDDLE_NAME (Varchar)
  • LAST_NAME (Varchar)
  • HOUSE_NUMBER (Varchar)
  • PREFIX_DIRECTION (Varchar)
  • STREET_NAME (Varchar)
  • STREET_SUFFIX (Varchar)
  • SUFFIX_DIRECTION (Varchar)
  • UNIT_DESIGNATOR (Varchar)
  • UNIT_DESIGNATOR_NUMBER (Varchar)
  • CITY (Varchar)
  • COUNTY (Varchar)
  • PRIMARY_ADDRESS (Varchar)
  • STATE (Varchar)
  • ZIP_CODE (Varchar)
  • ZIP4 (Varchar)
  • LANDLINE_PHONE_NUMBER (Varchar)
  • CELL_PHONE (Varchar)
  • AGE_CODE (Varchar)
  • VOTERS_BIRTHDATE (Date)
  • ETHNIC_CODE (Varchar)
  • ETHNIC_GROUP (Varchar)
  • LANGUAGE_CODE (Varchar)
  • MARITAL_STATUS (Varchar)
  • HAS_EMAIL (Varchar)
  • EMAIL (Varchar)
  • VOTERS_ACTIVE (Varchar)
  • PARTIES_DESCRIPTION (Varchar)
  • VOTE_FREQUENCY (Number)
  • MODEL_NAME (Varchar)
  • MODEL_LABEL (Varchar)

方法论

• 基于专有的文章内和面板调查构建。
• 机器学习模型在国家选民档案和调查响应上训练。
• 根据支持问题或情感的可能性对每个选民进行评分（0-100分）。
• 生成二元的“是/否”分组，并通过保留数据集进行验证。

使用案例

1. 识别特定受众群体: 例如，针对“已婚频繁旅行者”的定向广告活动。
2. 获取人口统计变量分布: 分析受众的年龄分布等 demographic 信息。

业务需求

• 受众激活: 将受众直接推送到广告平台、CRM系统或CDP，用于实时活动定位。
• 现实世界受众定位: 为直邮、电话、短信或上门拜访提供验证的联系数据。
• 跨渠道细分: 按意识形态、行为或心理特征细分受众。
• 研究、战略与规划: 提供基础数据以创建有效的活动，用于构建结合意见、行为和地理的自定义报告。

技术支持

• 销售联系: [e-mail]
• 支持联系: [e-mail]

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个以上区域。