Products

Propensity US: Lyft User is a comprehensive dataset designed to provide insights into the behavior and preferences of Lyft users across the United States. This dataset encompasses a wide range of variables, including user demographics, ride patterns, and engagement metrics, enabling businesses and researchers to analyze and predict user behavior effectively. Key Features and Functionality: - Extensive User Data: The dataset includes detailed information on Lyft users, such as age, gender, loca

Propensity US: Macy's Clothing Shopper is a data-driven solution designed to help brands and retailers identify and target Macy's clothing shoppers more effectively. By leveraging Prosper Insights & Analytics' zero-party consumer data, this model enables businesses to enhance their digital marketing strategies and improve customer engagement. Key Features and Functionality: - Retailer-Specific Shopper Models: Provides detailed shopper data tailored to Macy's clothing customers, allowing fo

Propensity US: Have Arthritis is a comprehensive dataset designed to assist healthcare professionals, researchers, and data scientists in understanding and predicting arthritis prevalence across the United States. By leveraging this dataset, users can develop predictive models, conduct epidemiological studies, and enhance public health strategies related to arthritis. Key Features and Functionality: - Extensive Data Coverage: The dataset encompasses a wide range of demographic and health-relat

Propensity US: Walmart Clothing Shopper is a specialized predictive model developed by Prosper Model Factory, designed to analyze and forecast the purchasing behaviors of Walmart's apparel customers. Leveraging Prosper's extensive consumer data, this model offers deep insights into the preferences, motivations, and future spending intentions of individuals shopping for clothing at Walmart. Key Features and Functionality: - Comprehensive Consumer Data: Utilizes over 3,000 data elements collecte

Propensity US: Uber User is a data product designed to provide comprehensive insights into Uber's user base within the United States. By analyzing this dataset, businesses can gain a deeper understanding of consumer behaviors, preferences, and demographics associated with Uber users. Key Features and Functionality: - Detailed User Profiles: Access in-depth information on Uber users, including demographic data, usage patterns, and behavioral trends. - Behavioral Analytics: Analyze ride-hailing

Propensity US: Fashion Trends Shopper is a data-driven solution designed to help fashion retailers and brands understand and predict consumer shopping behaviors. By leveraging advanced analytics and machine learning, this tool provides insights into purchasing patterns, enabling businesses to tailor their marketing strategies and product offerings effectively. Key Features and Functionality: - Consumer Behavior Analysis: Utilizes comprehensive datasets to analyze and predict fashion shopping t

Propensity-Likes Working from Home is a comprehensive solution designed to analyze and enhance remote work environments by assessing employees' preferences and productivity levels when working from home. This tool provides organizations with valuable insights into individual and collective work-from-home tendencies, enabling data-driven decisions to optimize remote work policies and practices. Key Features and Functionality: - Employee Assessment: Evaluates individual propensities for remote w

Propensity US: Have Enlarged Prostate is a comprehensive dataset designed to assist healthcare professionals and researchers in understanding and addressing issues related to enlarged prostate conditions. This dataset provides valuable insights into patient demographics, symptoms, treatment outcomes, and other relevant factors, facilitating data-driven decision-making and research advancements in urology. Key Features and Functionality: - Extensive Data Collection: The dataset encompasses a wi

Prosper Model Factory is a platform designed to automate and simplify the creation of predictive analytic models for marketing and market forecasting. Leveraging Prosper's extensive dataset on consumer attitudes, behaviors, and future intentions, the platform enables rapid development and delivery of propensity models tailored for U.S. consumer marketing applications. These models enhance the efficiency and effectiveness of both digital and traditional marketing campaigns while adhering to stric

The "Propensity-Going to Beauty-Barber Shops" dataset provides comprehensive insights into consumer behaviors and preferences related to visits to beauty and barber shops. This dataset is invaluable for businesses aiming to understand and predict customer tendencies, enabling them to tailor their services and marketing strategies effectively. Key Features and Functionality: - Consumer Behavior Analysis: Offers detailed data on customer visit frequencies, preferred services, and spending patter

Propensity US: Costco for Electronics is a data-driven solution designed to help businesses identify and target consumers who are likely to purchase electronics from Costco. By leveraging Prosper Insights & Analytics' extensive consumer survey data, this model enables marketers to enhance their digital campaigns with precision and efficiency. Key Features and Functionality: - Consumer Propensity Modeling: Utilizes advanced analytics to predict the likelihood of consumers purchasing electro

Propensity US: Have Heart Disease is a data product designed to assist healthcare providers, researchers, and policymakers in identifying and analyzing the likelihood of individuals in the United States developing heart disease. By leveraging comprehensive datasets and advanced analytics, this tool enables users to assess risk factors, predict potential heart disease cases, and implement targeted interventions to improve public health outcomes. Key Features and Functionality: - Comprehensive D

Propensity US: For Open Borders is a comprehensive dataset designed to provide insights into American public opinion regarding open border policies. This dataset offers valuable information for policymakers, researchers, and organizations aiming to understand and analyze attitudes toward immigration and border control within the United States. Key Features and Functionality: - Extensive Survey Data: The dataset comprises detailed survey responses from a diverse cross-section of the U.S. popula

Propensity China: Movie Goer is a data product offered by Prosper Insights & Analytics, designed to provide comprehensive insights into the behaviors and preferences of Chinese moviegoers. This product delivers detailed analytics on audience demographics, viewing habits, and engagement patterns, enabling businesses to make informed decisions in the Chinese film market. Key Features and Functionality: - Audience Demographics: Offers in-depth data on the age, gender, income levels, and geogr

Propensity China: Alipay User is a comprehensive dataset designed to provide in-depth insights into the behaviors and preferences of Alipay users in China. This dataset is invaluable for businesses and researchers aiming to understand consumer trends, enhance marketing strategies, and develop products tailored to the Chinese market. Key Features and Functionality: - User Demographics: Detailed information on age, gender, and geographic distribution of Alipay users. - Transaction Data: Compreh

Propensity US: Have High Cholesterol is a data product designed to help businesses identify and target U.S. consumers with a high likelihood of having elevated cholesterol levels. By leveraging this dataset, companies can tailor their marketing strategies, develop personalized health-related products, and enhance customer engagement through data-driven insights. Key Features and Functionality: - Consumer Identification: Utilizes advanced analytics to pinpoint individuals in the U.S. who are li

Propensity China: Exercise Regularly is a comprehensive dataset designed to provide insights into the exercise habits and physical activity levels of the Chinese population. This dataset is invaluable for researchers, policymakers, and businesses aiming to understand and promote healthier lifestyles within China. Key Features and Functionality: - Detailed Exercise Data: Offers extensive information on various forms of physical activities, including frequency, duration, and types of exercises p

The Propensity US: Aldi Grocery Shopper model, developed by Prosper Insights & Analytics, is a data-driven solution designed to help brands and marketers identify and target consumers who are likely to shop at Aldi stores in the United States. By leveraging this model, businesses can enhance their marketing strategies, personalize customer engagement, and optimize resource allocation to effectively reach the Aldi shopper demographic. Key Features and Functionality: - Data-Driven Insights:

Propensity-Comfortable at Theme Parks is a data product available on AWS Marketplace, designed to help businesses in the theme park industry understand and predict visitor comfort levels. By analyzing various factors that influence guest experiences, this product enables theme park operators to enhance customer satisfaction and optimize park operations. Key Features and Functionality: - Predictive Analytics: Utilizes advanced algorithms to forecast visitor comfort levels based on historical da

Propensity-Planning to Buy a House is a data-driven solution designed to help businesses identify and target potential homebuyers effectively. By analyzing consumer behavior and engagement patterns, this tool enables organizations to predict which individuals are most likely to purchase a house, allowing for more focused marketing strategies and resource allocation. Key Features and Functionality: - Predictive Analytics: Utilizes advanced algorithms to assess consumer data and forecast the lik