L2/HaystaqDNA U.S. Consumers Predictive Analytics Models.

Haystaq's latest data release includes 140 issue and behavioral scores spanning 20+ categories, from economic anxiety and media consumption to attitudes on current political figures and emerging policy debates. The scores segment consumers across the full U.S. 263M adult population, enabling precise targeting based on attitudes, behaviors, and issue positions.<br/>

## Product Overview

## What You Get

- 140+ Predictive Issue Models - Updated for 2025 with the latest political landscape
- 263 Million Consumer Records - Comprehensive nationwide coverage
- 0-100 Scoring System - Precise likelihood predictions for every issue
- Binary Flags - Quick identification of high-propensity consumers (top 10-30% per model)
- Real-Time Validation - Models built from 10,000+ consumer surveys conducted in summer 2025
- 95% Coverage Rate - Nearly complete scoring across the entire consumer file<br/>

## New for 2025

- **30+ New Models** — Measures include DOGE support/opposition, United Healthcare sentiment, mass deportation views, January 6th pardons, and Trump vs. Harris double dislike
- **Enhanced Candidate Approval Models** — Measures for key 2025 political figures include Trump, Harris, Vance, Musk, RFK Jr., and more

- **DOGE and Government Efficiency** — New scores capture attitudes toward the Department of Government Efficiency and Elon Musk's federal workforce reductions, an issue strongly correlated with recent Democratic gains.
- **Economic Sentiment** — Scores for economic anxiety, inflation blame attribution (Biden Admin, Trump Admin, or corporations), and attitudes on affordability-related policies like minimum wage and housing.
- **Media Consumption Shifts** — Flags identify podcast listeners, frequent social media users, and consumers who don't watch traditional broadcast TV—segments that correlated with shifting voter behavior in 2025 elections.
- **Trump-Era Policy Scores** — New models cover Trump tariffs, Ukraine policy, mass deportations, January 6th pardons, and attitudes toward selling federal lands and replacing FEMA with state-level agencies.
- **United Healthcare** — A timely score measures whether consumers blame United Healthcare's claim denial policies for the December 2024 CEO shooting.
- **AI Attitudes** — Scores segment consumers by whether they feel more excited or concerned about increased artificial intelligence use in daily life.
- **Advanced Behavioral Predictions** — Measures include podcast listening, solar panel buying, and crypto investment likelihood.

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## Key Features & Benefits

**Comprehensive Coverage Across Critical Issues**

**Behavior**

- Activism and donation likelihood
- Charity giving preferences
- Church attendance and religiosity
- Responsiveness to outreach (email, SMS, live calls)
- Candidate mail readership

**Candidates & Officials**

- Trump, Harris, Vance approval/disapproval
- Elon Musk sentiment (overall and among likely Republicans)
- Cabinet and elected official ratings (RFK Jr., Buttigieg, Mike Johnson)
- Progressive figure ratings (AOC, Sanders, Ro Khanna)
- Establishment figure ratings (Haley, Newsom)
- Female and minority candidate preference

**Consumer Focus**

- Electric vehicle purchase likelihood
- Solar panel buyer propensity
- Rideshare usage frequency
- Consumer values (cost, quality, or environmental impact)
- TV viewing habits

**Economy**

- Inflation blame attribution (Biden Admin, Trump Admin, corporations)
- Economic anxiety and despondency levels
- Capitalism views (sound vs. flawed)
- Income inequality concerns
- Cryptocurrency buying likelihood and regulation views
- Gig economy participation and benefits views
- Job seeker status
- Union attitudes and Amazon worker treatment views

**Education**

- Charter school views
- School choice support
- School funding attitudes
- Teachers union sentiment
- Free community college support

**Environment**

- Climate change belief
- Green New Deal support
- Pipeline and fracking views
- Gas tax attitudes

**Healthcare**

- Abortion (pro-choice vs. pro-life)
- Affordable Care Act/Obamacare views
- Medicare for All support
- Medicaid expansion attitudes
- Opioid crisis response preferences
- Family and medical leave support

**Ideology/Partisanship**

- Fiscal, social, and general ideology scoring
- Progressive vs. Moderate Democrat types
- Establishment vs. Firebrand Republican types
- Third-party support likelihood
- Tribalism levels

**Media**

- Podcast listening frequency
- Social media usage intensity
- Most trusted cable news source (CNN, Fox, MSNBC)
- Social media truth vs. free speech priorities

**Military/International/Borders**

- China foreign policy views
- Defense spending attitudes
- Israel military actions (overall and by party)
- Border wall support
- Immigration views
- Military family relationship

**Social & Cultural Issues**

- DOGE and government efficiency attitudes
- DEI program sentiment
- Artificial intelligence excitement vs. concern
- Autonomous vehicle views
- Trust in police and science
- Same-sex marriage support
- Transgender athlete views
- United Healthcare CEO incident blame attribution
- Conspiracy theory susceptibility

**Role of Government**

- Gun control positions
- Marijuana legalization support
- Mass deportation support
- Government regulation views
- Tax cut attitudes
- Social Security tax increase views
- Public transit funding support
- State-level FEMA replacement views
- Sell federal lands attitudes

原始信息汇总

L2/HaystaqDNA U.S. Consumers Predictive Analytics Models 数据集概述

数据集基本信息

• 数据集名称: L2/HaystaqDNA U.S. Consumers Predictive Analytics Models
• 提供商: L2 Data
• 访问权限: 免费
• 访问模式: 无限访问
• 样本量: 10K/263M 样本
• 数据刷新频率: 季度更新
• 时间覆盖范围: 最近6个月（按月）
• 地理覆盖范围: 美国（所有州）

数据集内容概述

Haystaq的最新数据发布包含140个议题和行为评分，涵盖20多个类别，从经济焦虑和媒体消费到对当前政治人物和新政策辩论的态度。这些评分对美国2.63亿成年人口进行细分，使得能够基于态度、行为和议题立场进行精准定位。

产品内容

• 140+个预测性议题模型: 针对2025年最新政治形势更新
• 2.63亿条消费者记录: 全面的全国覆盖
• 0-100评分系统: 每个议题的精确可能性预测
• 二进制标志: 快速识别高倾向消费者（每个模型的前10-30%）
• 实时验证: 模型基于2025年夏季进行的10,000多项消费者调查构建
• 95%覆盖率: 几乎覆盖整个消费者文件

2025年新增内容

• 30+个新模型: 包括DOGE支持/反对、United Healthcare情绪、大规模驱逐观点、1月6日赦免、特朗普 vs. 哈里斯双重反感等衡量指标
• 增强的候选人支持率模型: 包括特朗普、哈里斯、万斯、马斯克、小罗伯特·肯尼迪等关键2025年政治人物的衡量指标
• DOGE和政府效率: 新评分捕捉对政府效率部门和埃隆·马斯克联邦裁员的态度
• 经济情绪: 经济焦虑、通胀责任归属（拜登政府、特朗普政府或公司）以及与可负担性相关政策（如最低工资和住房）态度的评分
• 媒体消费转变: 标志识别播客听众、频繁社交媒体用户以及不观看传统广播电视的消费者
• 特朗普时代政策评分: 新模型涵盖特朗普关税、乌克兰政策、大规模驱逐、1月6日赦免，以及对出售联邦土地和用州级机构取代FEMA的态度
• United Healthcare: 衡量消费者是否将United Healthcare的拒赔政策归咎于2024年12月CEO枪击事件的及时评分
• AI态度: 按对日常生活中人工智能使用增加感到兴奋或担忧来细分消费者
• 高级行为预测: 包括播客收听、太阳能电池板购买和加密货币投资可能性等衡量指标

关键特征与优势

• 行为: 激进主义和捐赠可能性、慈善捐赠偏好、教堂出席率和宗教信仰、对外联的响应能力（电子邮件、短信、实时电话）、候选人邮件阅读率
• 候选人与官员: 特朗普、哈里斯、万斯支持/反对、埃隆·马斯克情绪（总体及在可能共和党人中）、内阁和民选官员评级（小罗伯特·肯尼迪、布蒂吉格、迈克·约翰逊）、进步人物评级（AOC、桑德斯、罗·康纳）、建制派人物评级（黑利、纽瑟姆）、女性和少数族裔候选人偏好
• 消费者焦点: 电动汽车购买可能性、太阳能电池板购买倾向、共享汽车使用频率、消费者价值观（成本、质量或环境影响）、电视观看习惯
• 经济: 通胀责任归属（拜登政府、特朗普政府、公司）、经济焦虑和沮丧水平、资本主义观点（健全 vs. 有缺陷）、收入不平等担忧、加密货币购买可能性和监管观点、零工经济参与和福利观点、求职者状态、工会态度和亚马逊工人待遇观点
• 教育: 特许学校观点、学校选择支持、学校资金态度、教师工会情绪、免费社区大学支持
• 环境: 气候变化信念、绿色新政支持、管道和水力压裂观点、汽油税态度
• 医疗保健: 堕胎（支持选择 vs. 支持生命）、平价医疗法案/奥巴马医改观点、全民医保支持、医疗补助扩展态度、阿片类药物危机应对偏好、家庭和医疗休假支持
• 意识形态/党派: 财政、社会和一般意识形态评分、进步 vs. 温和民主党类型、建制派 vs. 煽动性共和党类型、第三方支持可能性、部落主义水平
• 媒体: 播客收听频率、社交媒体使用强度、最受信任的有线新闻来源（CNN、Fox、MSNBC）、社交媒体真相 vs. 言论自由优先级
• 军事/国际/边境: 中国外交政策观点、国防开支态度、以色列军事行动（总体及按党派）、边境墙支持、移民观点、军人家庭关系
• 社会与文化议题: DOGE和政府效率态度、DEI项目情绪、人工智能兴奋 vs. 担忧、自动驾驶汽车观点、对警察和科学的信任、同性婚姻支持、跨性别运动员观点、United Healthcare CEO事件责任归属、阴谋论易感性
• 政府角色: 枪支管制立场、大麻合法化支持、大规模驱逐支持、政府监管观点、减税态度、社会保障税增加观点、公共交通资金支持、州级FEMA替代观点、出售联邦土地态度

数据结构

• 主要表格: HAYSTAQDNAFLAGS, HAYSTAQDNASCORES
• 记录内容: 个人特征和意见记录，具体为调查回应。每条记录代表一个个体，包括其人口统计信息、态度和各种主题意见的详细信息。
• 列示例: INDIVIDUAL_ID, HF_ABORTION_PRO, HF_ACTIVISM, HF_AFFORDABLE_HOUSING_GOV, HF_AGE_LIMIT, HF_ALIEN_DISCLOSURE_GOVT, HF_AMAZON_WORKER_TREATMENT, HF_AOC, HF_AOC_DEM, HF_ARTIFICIAL_INTELLIGENCE 等（共140列）

使用示例

1. 定位具有成本意识的消费者: 基于经济焦虑、住房担忧和通胀态度，识别可能对可负担性信息反应强烈的消费者。
2. 构建针对性外联列表: 为环境运动定位寻找关心气候变化的消费者。
3. 为数字广告细分受众: 为社交媒体定位创建自定义受众。

技术支持与联系

• 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（弗吉尼亚北部）、美国东部（俄亥俄）、美国西部（俄勒冈）等