Time Series Data: US Monthly Consumer Survey

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.

Over 14 prestigious Academic institutions world- wide apply for and have received grants of the data for classroom work and publication by Faculty. The data has been the foundation for over 30 peer reviewed articles in professional journals ranging from consumer Behavior, Marketing and Neuroscience.

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. See Data Dictionary for specifics 

Data is organized by the following demographic segments:

• US 18+
• Men 18+
• Women 18+
• Ages 18-34
• Ages 35-54
• Ages 55+
• Incomes <$50K
• Incomes $50K+
• Incomes $75K+
• Incomes $100K+
• Bespoke Datasets and Consumer Segments are available upon request. Additional fees apply.

Data Uses and Applications:

• Machine Learning - Training Data Set
• Time Series Forecasts
• Econometric Analysis
• Market Share Analysis
• Competitive Analysis
• Marketing Planning
• Financial Planning
• Capabilities Presentations
• Strategic Consulting
• See Use Case Examples