Prosper Increases ML Resources on AWS Data Exchange Adding New Economic Signals Data, Covid-19 Behaviors, and Zip Code Targeting Models
Covid-19 has caused severe disruption for businesses across all sectors and in response, Prosper Insights & Analytics in cooperation with the AWS Data Exchange and AWS Machine Learning Marketplace has significantly increased the number of data options available with new highly relevant economic signals and models. The new data sets and models are all generated from Prosper’s large sample monthly survey of US consumers which is also 100% privacy compliant with CCPA and HIPAA. The data fortifies Prosper’s existing data and model offerings through the addition of highly accurate datasets which can be used for improved business forecasting, targeting prospects by behavior propensities even down to a zip code level.
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Prosper adds Covid-19 consumer behavior data, propensity models and spending signals to the AWS Data Exchange and AWS Machine Learning Marketplace
Over 80 unique models and datasets are now available via the AWS Data Exchange and AWS SageMaker platform. New Covid-19 behavioral data and models can also be accessed along with updated consumer spending signals, consumer mood and happiness data on consumers of public companies by ticker, including AMZN, WMT, KSS, M, KR and more. Prosper US Signals datasets include:
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- US Signals – Macro Economic and Consumer Purchase Intentions
- US Signals – Retail Economy and Consumer Spending Forecast
- US Signals – Retail Softlines Consumer Spending Forecast
- US Signals – Retail Hardlines Consumer Spending Forecast
- US Signals – Grocery, Health & Beauty Consumer Spending Forecast
“The phrase ‘New Normal’ gets thrown around today in an abstract way,” said Gary Drenik, CEO of Prosper Insights & Analytics. “These new US Signal datasets and behavior propensity models provide the machine learning resources necessary to better understand the current state of consumers behaviors in context with the past and, more importantly, their future intentions. Ultimately, these directional datasets show where consumers are headed which allows businesses to anticipate and plan for what is quickly becoming the New Normal.”
Prosper’s unique 1st party data is anonymous, privacy compliant and has powered predictive analytics for data scientists at buy side and sell side investment firms, the worlds largest retailers, digital marketers, financial institutions, and marketing firms. Prosper’s comprehensive consumer data for the past 16 years has been the data source the NRF uses when communicating key consumer trends and shopping expectation for all important retail holidays throughout the year.
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