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 Theme Parks."
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 Theme Parks."
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
Details
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Deployed on AWS
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Dimension | Cost/12 months |
|---|---|
ProductAccess | $750.00 |
Dimensions summary
This listing uses a single contract-based pricing dimension, billed in units (JuntoDimension). You commit to a set quantity of units for the contract term rather than paying per hour or by usage. The product delivers a propensity model that scores how likely consumers are to feel comfortable going to theme parks, drawn from consumer intent data. Because there is one dimension, pricing does not vary by tier or feature set. You select the unit quantity that matches your needs, and the total scales with that quantity.
Top-of-mind questions for buyers
Each unit maps to a defined quantity of access to the propensity model output. The marketplace listing bills you by the number of units you commit to under the contract. The exact scope per unit is not fully detailed here, so confirm the precise unit definition with the vendor before purchase.
The model draws on consumer intent data collected from surveys of real people. It converts monthly consumer intentions, behaviors, emotions, and media signals into predictive scores. This zero-party data updates on a monthly cadence, so the propensity scores reflect recent shifts in consumer sentiment toward theme park visits.
No. You commit to a set quantity of units for the contract term. This is contract-based pricing, not usage metering or hourly billing. Your cost is fixed by the unit quantity you select at purchase and does not fluctuate based on how often you access the model.
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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 to Theme Parks | All historical revisions | All future revisions | Not included | Not included |
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