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 the Gym."
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 the Gym."
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 units (JuntoDimension). You commit to a set quantity under a contract term rather than paying per hour or by usage. The product provides a propensity model that scores how likely consumers are to feel comfortable going to a gym, built from consumer intent and behavior data. Because only one dimension applies, there are no tiers, instance sizes, or add-ons to choose between. Your cost scales with the number of units you commit to under the contract.
Top-of-mind questions for buyers
A unit is the metered quantity you commit to under the contract. It measures your consumption of the propensity scoring data, which rates how likely consumers are to feel comfortable going to a gym. You commit to a set number of units for the contract term rather than paying per hour.
Cost scales with the number of units you commit to under the contract. Because only one dimension applies, adding capacity means committing to more units. For details on adjusting your committed quantity mid-term, contact the vendor.
The model draws on more than two decades of privacy-compliant, zero-party consumer data. It converts monthly consumer intentions, behaviors, emotions, and media signals into predictive propensity scores. Your units meter access to these scores for the gym-comfort audience.
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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 |
|---|---|---|---|---|---|---|
Zip Propensity - Comfortable Going Gym | All historical revisions | All future revisions | Not included | Not included |
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