Sold by: Prosper Insights & Analytics
Deployed on AWS
US Signals - Retail Hardlines Consumer Spending Forecast. Prosper US Signals series of datasets includes leading indicators and advanced predictive analytics derived from Prosper’s scientifically collected monthly measurement of over 7,500 US consumers covering forward looking spending plans, retail channels, motivations, and economic outlook. Prosper US Signals are excellent training datasets for AI & Machine Learning initiatives and Forecasting applications.
Overview
US Signals - Retail Hardlines Consumer Spending Forecast. Prosper US Signals series of datasets includes leading indicators and advanced predictive analytics derived from Prosper’s scientifically collected monthly measurement of over 7,500 US consumers covering forward looking spending plans, retail channels, motivations, and economic outlook. Prosper US Signals are excellent training datasets for AI & Machine Learning initiatives and Forecasting applications..
Data is organized by the shoppers of over 30 stock tickers (scroll down to see list). Dataset includes:
- Consumer Confidence
- Prosper Consumer Spending Forecast
- Prosper Consumer Spending Forecast: Hardlines
Spending Scores (next 90 days)-Hardlines
- Home Improvement and Hardware supplies
- Lawn and garden supplies
- Home furniture (chair-sofa-bed-etc.)
- Decorative home furnishings (lamps-pictures-etc.)
- Sporting goods
- Toys
- Electronics
- CDs/DVDs/Videos/Books
- Linens/Bedding/Draperies
Shopper Preference Index
- Amazon
- Kohl's
- JC Penney
- Macy's
- Target
- Walmart
Retail Memberships
- Amazon Prime
- BJ's
- Costco
- Sam's Club
Net Promoter Scores
- Best Buy
- JC Penney
- Kohl's
- Macy's
- Target
- Walmart
Motivations
- Live for Today
- Impulsivity Score
See Data Dictionary for specifics
Data is organized by the shoppers of the following tickers:
- AAPL
- AMZN Prime Members
- BBBY
- BBY
- BGFV
- BJ - BJs Members
- COST - Shop Most Often
- COST - Costco Members
- DDS
- DG
- DKS
- DLTR
- EBAY
- FL
- HD
- Ikea
- JCP
- JWN
- KSS
- LOW
- M
- PLCE
- QVCA
- ROST
- SFM
- SRGHY
- TGT
- TJX
- W
- WMT
- WMT- Sam's Club Members
Data is organized by the following demographic and geographic segments:
- US 18+
- 18-34
- 35-54
- 55+
- Females
- Males
- HH Income $100K+
- HH Income $50K+
- HH Income <$50K
- Business Owners
- Generation: GenZ (1997 or after)
- Generation: Millennials (1981- 1996)
- Generation: GenX (1965 - 1980)
- Generation: Boomers (1946-1964)
- Generation: Silent (1945 or before)
- Parents with Children <18 at Home
- Moms with Children <18 at Home
- US Northeast Region
- US Midwest Region
- US South Region
- US West Region
- US New England Division
- US Mid Atlantic Division
- US East North Central Division
- US West North Central Division
- US South Atlantic Division
- US East South Central Division
- US West South Central Division
- US Mountain Division
- US Pacific Division
Data Uses and Applications:
- Machine Learning - Training Data Set
- Time Series Forecasts
- Econometric Analysis
- Market Share Analysis
- Competitive Analysis
- Marketing Planning
- Financial Planning
- Strategic Consulting
- Bespoke Datasets and Consumer Segments are available upon request. Additional fees apply.
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Dimension | Description | Cost/6 months |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $18,000.00 |
Dimensions summary
This listing uses a single pricing dimension called Product Access (Units). You buy access to the product under a contract term. There are no separate tiers, instance sizes, or usage add-ons to choose from. Your cost is tied to the number of access units you commit to under the contract. Pricing scales with the quantity of units, not with usage volume or feature levels. This keeps the structure simple: one dimension covers your access to the consumer spending forecast data.
Top-of-mind questions for buyers
One unit grants subscriber access to the Retail Hardlines Consumer Spending Forecast data. Units are access grants under your contract, not a measure of query volume or data pulled. Your total reflects how many access units you commit to. Contact the vendor to confirm how units map to your team's access needs.
You get access to a retail hardlines consumer spending forecast. It draws on predictive analytic models built from monthly consumer intentions, behaviors, and media signals. The data anticipates future consumer action before it appears in sales, transactions, or government statistics.
No. Cost ties to the number of access units you commit to under the contract, not to query volume or usage. Adding more units raises your cost. Using the data more or less within your committed access does not change your charges.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
US Signals - Retail Hardlines Consumer Spending Forecast | All historical revisions | All future revisions | Not included | Not included |
Resources
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