Conducted once a month since 2002 with approximately 7,500 U.S. Adults 18+ respondents each month. Tracks how consumers are feeling about the economy, shopping behavior, future purchase intentions, & more. With over 18 years of history by month, the data is an excellent training dataset for Machine Learning initiatives and Forecasting applications. Now with new questions on the Covid-19 Economic Crisis. Anonymous data. 100% Privacy Compliant. No PII Used. HIPAA and CCPA Compliant.
The data is an excellent training dataset for Machine Learning initiatives and Forecasting applications.
The Prosper dataset is unique in its longevity as well as the nature of the questions (future spending intentions and consumer emotional mindset). Since the data has many consistent questions going back 18 years, it has captured the consumers’ responses and changes to shocks to the economy including 9/11, Katrina Gas Prices, Recession, Recovery and now the Covid Economic Crisis.
Positive Predictive Correlations have been established between government data and Prosper’s Monthly Consumer intent data.
All data in this file comes from Prosper Insights & Analytics monthly consumer market survey collected and curated since 2002. 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. Margin of error +- 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 2002 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 members.
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, Telemedicine
* 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 over 100 consumer demographic and geographic segments including:
* US 18+
* Men 18+
* Women 18+
* Ages 18-34
* Ages 35-54
* Ages 55+
* Incomes <$50K
* Incomes $50K+
* Incomes $75K+
* Incomes $100K+
* Business Owners
* Parents
* GenZ
* Millennials
* GenX
* Boomers
* Shoppers of 50+ leading retailers
* Census Regions & Divisions
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
This data set contains mobile network coverage for all major operator networks for Germany in a high resolution format as measured by umlaut’s worldwide panel of smartphone users.
This listing consists of a high resolution ortho-mosaic of Seattle, Washington, produced by Geomni, Inc., a Verisk Analytics business.
A constantly updated directory of cancelled, postponed and rescheduled business & government events due to Covid-19.
| Heapery Attribution License | Heapery-Private |
| Category | Demographics |
| Data Schema | |
| Support Contact Email Address | support@heapery.com |
| Data Format | |
| Version number | |
| Language | English |
| Data Size | |
| Last Updated Date | 8/11/2020 |
| Refund Policy | Refunds not allowed |
