Sold by: Prosper Insights & Analytics
Deployed on AWS
Zip Propensity Data is derived from Prosper's US Monthly Consumer survey. The survey data is modeled to Zip Code level. Source data was collected in July 2020, during the Covid-19 Coronavirus Pandemic, capturing behavior changes and preferences of over 7,800 adults during the National Emergency. Zero PII. CCPA and HIPAA Compliant. Data file lists the Percentage Propensity by Zip for the answer "Comfortable Going to Beauty salons/Barber shops."
Overview
Zip Propensity Data is derived from Prosper's US Monthly Consumer survey. The survey data is modeled to Zip Code level. Source data was collected in July 2020, during the Covid-19 Coronavirus Pandemic, capturing behavior changes and preferences of over 7,800 adults during the National Emergency.
Data file lists the answer to the survey question: “When your State Governor allows, which of the following activities do you feel comfortable engaging in/going to. (Check all that apply)”. The data file lists the Percentage Propensity by Zip for the answer "Comfortable Going to Beauty salons/Barber shops."
Prosper's US Monthly Consumer survey is conducted once a month for over 18 years. The survey monitors how consumers are feeling about the economy, shopping behavior, future purchase intentions, public policies and more. Prosper’s Zip Propensity Data allows end-users to drill down into specific geographic segments as well as creating proprietary aggregate areas and consumer personas with those geographic codes. Prosper data is anonymous. Zero PII. CCPA and HIPAA Compliant.
Uses of this data include:
- Geographic Analysis: Create consumer personas based on geographic areas
- Propensity Models: Estimate consumer psychographic variables for any list that contains zip code or larger geo attribute; targeting applications
- Enhance other Datasets: Provides a method for merging Prosper data with other data sets that have zip codes
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Deployed on AWS
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Dimension | Cost/12 months |
|---|---|
ProductAccess | $350.00 |
Dimensions summary
This listing uses a single contract-based pricing dimension, billed in JuntoDimension units. You buy access to one propensity dataset that scores how comfortable consumers are going to beauty salons and barber shops. Pricing is not split into tiers or instance sizes. Instead, you commit to a contract for this one measure, with your total based on the number of units you select. The underlying data comes from a predictive analytics engine that turns consumer intent signals into forecasting scores.
Top-of-mind questions for buyers
A JuntoDimension unit is the counting measure for your contract. Your total cost scales with the number of units you select. Each unit maps to access to the propensity scores that rate consumer comfort with visiting beauty salons and barber shops. The pricing table shows the per-unit rate.
Cost scales with the number of JuntoDimension units in your contract. Adding units raises your total; the per-unit rate stays fixed. There are no separate tiers or instance sizes that trigger a rate change. You commit to the unit quantity you need for this single measure.
The scores come from a predictive analytics engine built on more than two decades of consumer intent data. It turns monthly signals about consumer intentions, behaviors, emotions, and media into machine-readable forecasting scores. This dataset applies that model to comfort with visiting beauty salons and barber shops.
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Delivery details
AWS Data Exchange (ADX)
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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 |
|---|---|---|---|---|---|---|
Zip Propensity- Comfortable Going to Beauty Salons-Barber Shops | All historical revisions | All future revisions | Not included | Not included |
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