US Consumer Intentions & Actions Monthly - Evaluation Dataset
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Conducted once a month with approximately 7,500 U.S. Adults 18+ respondents, the survey tracks how consumers are feeling about the economy, shopping behavior, future purchase intentions, and more. Conducted for over 18 years, the database is trendable and includes U.S. consumer behaviors and future intentions. The data is an excellent training dataset for Machine Learning initiatives and Forecasting applications. Positive Predictive Correlations have been established between government data and Prosper’s Monthly Consumer intent data. Please read this PDF for a listing of the topics covered in this database of monthly and quarterly questions/answers from the Prosper U.S. Monthly Consumer Survey. All data in this file comes from Prosper Insights & Analytics monthly consumer market survey collected and curated since 2003. The survey is the largest ongoing survey conducted and includes the responses of approximately 7,500 consumers each month. The survey is a representative and scientifically collected instrument with confidence levels of +- 1.5%. There are over 2000 data elements for each of the 1.5 million consumer respondents curated in the data set covering from January 2003 to present. The data is used across multiple industry sectors including Finance/Insurance, such as Wall Street Investment banking firms and Hedge funds, Media, Database marketers, Technology, CPG’s, Credit card companies, Digital marketers, Entertainment and others. Since 2003 this data has been the “retail currency” of the NRF for all of their highly accurate holiday forecasts for investors, media and membership. The data covers all aspects of the consumers eco system including: • Economic attitudes such as sentiment, employment outlook, energy price impacts on spending, deferred spending and more. • Shopping behaviors by retail channel, reasons for shopping, spending amounts by category, planned purchases for next 90 days by category, store and brand loyalty, digital engagement shopping, fashion orientation, lifestyle characteristics and more. • Future purchase intentions for durable goods such as Auto, home, electronics, vacation/travel, furniture, home improvement, appliances and more. • Unique, unaided write-in answers for the Store Shopped Most Often for Women’s, Men and Children’s Clothing, Shoes, Electronics, Home Items, Home Improvement, Grocery, Health & Beauty, Prescriptions, Sporting Goods and Toys. • Psychographic/Neuromarketing data covering impulsivity, Happiness (10 separate questions) and OCEAN (Big 5) questions and scores. • Quarterly rotating questions on Dining Out: Fast Food, Full Service, Breakfast, Coffee • Quarterly rotating questions on Mobile: Smartphone Brands, Systems, Apps, OTT Viewing • Quarterly rotating questions on Financial: Credit, Debit, Alternative Payment Methods • Quarterly rotating questions on eCommerce Adoption, Furniture, Appliance & Pet merchants • All questions are not available for the full time period.
本调研每月开展一次，受访对象为约7500名18岁及以上美国成年人，旨在追踪消费者对经济的看法、购物行为、未来购买意向等多项维度。该调研已持续超18年，数据库具备可趋势分析价值，涵盖美国消费者行为与未来意向相关数据。 该数据集是机器学习（Machine Learning）项目与预测类应用的优质训练集。已有研究证实，政府公开数据与Prosper月度消费者意向数据之间存在显著正向预测相关性。请查阅此PDF，了解Prosper美国月度消费者调研的月度与季度问答议题清单。 本文件收录的所有数据均来自Prosper Insights & Analytics自2003年起收集并整理的月度消费者市场调研。该调研是当前规模最大的持续性消费者调查，每月收录约7500名消费者的有效反馈。本调研采用科学抽样方法，具备良好代表性，置信区间为±1.5%。数据集覆盖2003年1月至今的150万余名消费者受访者，每位受访者对应超过2000个数据字段。 该数据集已被多个行业领域广泛应用，包括金融/保险行业（如华尔街投资银行、对冲基金）、媒体行业、数据库营销商、科技行业、快消品（CPG）、信用卡机构、数字营销商、娱乐行业及其他领域。自2003年起，该数据已成为美国零售联合会（NRF）为投资者、媒体及会员提供高精度节假日消费预测的核心零售参考数据源。 数据集覆盖消费者生态的全维度内容，具体包括： • 经济态度类：如消费信心、就业前景、能源价格对支出的影响、延迟消费计划等； • 购物行为类：如零售渠道偏好、购物动因、品类消费金额、未来90天内的品类/门店/品牌购买计划、门店与品牌忠诚度、数字购物参与度、时尚取向、生活方式特征等； • 耐用品未来购买意向类：如汽车、住宅、电子产品、度假/旅行、家具、家居改造、家电等； • 开放式自由作答议题：涵盖女装、男装、童装、鞋履、电子产品、家居用品、家居改造、食品杂货、健康与美妆、处方药、体育用品及玩具的最常光顾门店； • 心理画像/神经营销（Neuromarketing）数据：涵盖冲动性、幸福感（10道独立问卷）及大五人格（OCEAN/Big 5）相关问题与得分； • 季度轮换议题：餐饮消费（快餐、全服务餐厅、早餐、咖啡）； • 季度轮换议题：移动设备（智能手机品牌、系统、应用、OTT视频观看）； • 季度轮换议题：金融支付（信用卡、借记卡、另类支付方式）； • 季度轮换议题：电商采用情况、家具、家电及宠物用品商户； • 并非所有议题在全调研时间段内均有收录。
