# Best AWS Marketplace Software - Page 131

## How Many AWS Marketplace Software Products Does G2 Track?

**Total Products under this Category:** 2,544

### Category Stats (Aug 2026)

- **Average Rating:** 4.39/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** ELK Kubernetes Container Solution Stack (+1.95%) - Among all products in this category, ELK Kubernetes Container Solution Stack recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank AWS Marketplace Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 29,700+ Authentic Reviews
- 2,544+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

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### Fortinet Managed Rules for AWS WAF

Fortinet’s WAF rulesets are additional security signatures that can be used to enhance the protections included in the base AWS WAF product. They are updated on a regular basis to include the latest threat intelligence from the award-winning FortiGuard Labs. The Complete OWASP Top 10 Ruleset provides a comprehensive package for web application protection offered by Fortinet to help address the OWASP Top 10 web application threats. Includes protection for various Injection attacks such as SQL and command Injection , Cross Site Scripting, General and Known Exploits, Malicious Bots and Common Vulnerabilities and Exposures (CVE).

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=2598&secure%5Bchosen_at%5D=2026-08-02T22%3A03%3A44Z&secure%5Bdisplayable_resource_id%5D=2598&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2598&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=145276&secure%5Bresource_id%5D=2598&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Faws-marketplace%3Fpage%3D131&secure%5Btoken%5D=0ca6f8ddbf11f8943c8b31b7c310d15030e36eacf3b2cc2485c57579c1e8ff80&secure%5Burl%5D=https%3A%2F%2Fwaf-security.com%2F%3Futm_source%3Dg2%26utm_medium%3Dcpc%26utm_id%3Ddirect-publisher&secure%5Burl_type%5D=custom_url)

### [Propensity US: Fashion Trends Shopper](https://www.g2.com/products/propensity-us-fashion-trends-shopper/reviews)

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 trends. - Predictive Modeling: Employs machine learning algorithms to forecast future purchasing behaviors. - Data Integration: Combines various data sources, including sales transactions and customer demographics, for a holistic view. - Customizable Reports: Generates detailed reports to inform strategic decision-making. Primary Value and Solutions Provided: Propensity US: Fashion Trends Shopper addresses the challenge of understanding and anticipating consumer preferences in the dynamic fashion industry. By offering predictive insights, it enables retailers to optimize inventory, personalize marketing campaigns, and enhance customer engagement, ultimately driving sales and improving customer satisfaction.

#### Who Is the Company Behind Propensity US: Fashion Trends Shopper?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: For Open Borders](https://www.g2.com/products/propensity-us-for-open-borders/reviews)

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. population, capturing a wide range of perspectives on open border policies. - Demographic Segmentation: It includes demographic breakdowns, allowing users to analyze opinions based on factors such as age, gender, ethnicity, education level, and geographic location. - Time-Series Analysis: The dataset offers historical data points, enabling trend analysis over time to observe shifts in public opinion. - Customizable Queries: Users can filter and segment the data to focus on specific subgroups or regions, facilitating targeted research and analysis. Primary Value and Solutions Provided: Propensity US: For Open Borders serves as a critical tool for understanding the complexities of public sentiment toward open border policies in the United States. By offering detailed and segmented data, it empowers users to: - Inform Policy Decisions: Policymakers can leverage the insights to craft immigration policies that align with public opinion and address the concerns of various demographic groups. - Enhance Research Accuracy: Researchers can utilize the dataset to conduct in-depth studies on immigration attitudes, contributing to the academic discourse with empirical evidence. - Develop Targeted Communication Strategies: Organizations and advocacy groups can tailor their messaging and outreach efforts based on the nuanced understanding of public sentiment provided by the dataset. By delivering a nuanced and comprehensive view of American attitudes toward open borders, this dataset aids in fostering informed discussions and decisions on immigration policy and related issues.

#### Who Is the Company Behind Propensity US: For Open Borders?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Have Arthritis](https://www.g2.com/products/propensity-us-have-arthritis/reviews)

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-related variables, providing a holistic view of arthritis prevalence across different regions and populations. - High-Quality Data: Sourced from reputable health surveys and databases, ensuring accuracy and reliability for research and analysis. - User-Friendly Format: Structured in a manner that facilitates easy integration with various analytical tools and platforms, streamlining the data analysis process. Primary Value and Problem Solved: Propensity US: Have Arthritis addresses the need for detailed and reliable data on arthritis prevalence, enabling users to: - Develop Predictive Models: Utilize the dataset to create models that forecast arthritis trends, aiding in proactive healthcare planning and resource allocation. - Conduct Epidemiological Research: Analyze patterns and risk factors associated with arthritis, contributing to a deeper understanding of the disease and its impact on various populations. - Enhance Public Health Strategies: Inform policy decisions and intervention programs aimed at reducing the burden of arthritis through targeted prevention and treatment efforts. By providing a robust foundation for analysis, Propensity US: Have Arthritis empowers users to make data-driven decisions that can lead to improved health outcomes and more efficient healthcare services.

#### Who Is the Company Behind Propensity US: Have Arthritis?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Have COPD](https://www.g2.com/products/propensity-us-have-copd/reviews)

Propensity US: Have COPD is a comprehensive dataset designed to assist healthcare professionals, researchers, and data scientists in identifying and analyzing individuals in the United States diagnosed with Chronic Obstructive Pulmonary Disease (COPD. This dataset provides detailed information on patient demographics, medical histories, treatment plans, and outcomes, enabling users to develop predictive models, conduct epidemiological studies, and enhance patient care strategies. Key Features and Functionality: - Extensive Data Coverage: Includes a wide range of variables such as age, gender, smoking history, comorbidities, medication usage, and hospitalization records, offering a holistic view of COPD patients. - High-Quality Data: Sourced from reputable healthcare databases, ensuring accuracy and reliability for research and analysis purposes. - Data Anonymization: All patient information is de-identified to comply with privacy regulations, allowing for ethical use in research and development. - Compatibility: Formatted for seamless integration with various data analysis tools and machine learning platforms, facilitating efficient data processing and model development. Primary Value and Problem Solving: Propensity US: Have COPD addresses the critical need for high-quality, comprehensive data in the study and management of COPD. By providing detailed patient information, it enables healthcare professionals to: - Enhance Predictive Modeling: Develop and refine models to predict disease progression, patient outcomes, and potential exacerbations, leading to proactive and personalized patient care. - Inform Treatment Strategies: Analyze treatment effectiveness and patient responses to various therapies, aiding in the optimization of treatment plans. - Support Epidemiological Research: Conduct large-scale studies to understand COPD prevalence, risk factors, and trends, contributing to public health initiatives and policy development. By leveraging this dataset, users can gain valuable insights into COPD, ultimately improving patient outcomes and advancing respiratory healthcare research.

#### Who Is the Company Behind Propensity US: Have COPD?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Have Enlarged Prostate](https://www.g2.com/products/propensity-us-have-enlarged-prostate/reviews)

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 wide range of variables, including patient age, medical history, symptom severity, treatment plans, and follow-up results. - Anonymized Patient Information: To ensure privacy and compliance with regulations, all patient data is anonymized, allowing for secure analysis and research. - Structured Format: Data is organized in a structured manner, enabling easy integration with analytical tools and facilitating efficient data processing. - Regular Updates: The dataset is periodically updated to reflect the latest clinical findings and treatment methodologies, ensuring relevance and accuracy. Primary Value and Problem Solving: Propensity US: Have Enlarged Prostate serves as a critical resource for: - Clinical Research: Researchers can utilize the dataset to identify patterns, evaluate treatment efficacies, and develop new therapeutic approaches for enlarged prostate conditions. - Healthcare Analytics: Healthcare providers can analyze the data to improve patient care strategies, optimize resource allocation, and enhance overall treatment outcomes. - Medical Education: Educators and students can leverage the dataset for case studies, training modules, and to gain a deeper understanding of prostate health issues. By offering a rich and detailed collection of information, Propensity US: Have Enlarged Prostate empowers stakeholders in the medical field to make informed decisions, advance research, and ultimately improve patient care related to prostate health.

#### Who Is the Company Behind Propensity US: Have Enlarged Prostate?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Have Fibromyalgia](https://www.g2.com/products/propensity-us-have-fibromyalgia/reviews)

Propensity US: Have Fibromyalgia is a specialized dataset designed to help businesses and researchers identify and understand the demographic and behavioral characteristics of individuals in the United States diagnosed with fibromyalgia. This dataset provides valuable insights into the prevalence and distribution of fibromyalgia across various population segments, enabling targeted marketing, healthcare planning, and policy development. Key Features and Functionality: - Comprehensive Data Coverage: Offers detailed information on individuals with fibromyalgia, including age, gender, geographic location, and other relevant demographics. - Behavioral Insights: Includes data on lifestyle choices, healthcare utilization, and purchasing behaviors of those diagnosed with fibromyalgia. - Customizable Segmentation: Allows users to segment the data based on specific criteria to tailor analyses to their unique needs. - Regular Updates: Ensures the dataset remains current with periodic updates reflecting the latest trends and information. Primary Value and User Solutions: By leveraging the Propensity US: Have Fibromyalgia dataset, users can: - Enhance Targeted Marketing: Develop more effective marketing strategies by understanding the specific needs and preferences of individuals with fibromyalgia. - Inform Healthcare Services: Improve healthcare delivery and resource allocation by identifying regions with higher prevalence rates. - Support Research Initiatives: Facilitate academic and clinical research aimed at understanding fibromyalgia and developing better treatment options. - Guide Policy Development: Assist policymakers in creating informed health policies and programs tailored to the fibromyalgia community. This dataset serves as a crucial tool for organizations aiming to make data-driven decisions that positively impact individuals living with fibromyalgia.

#### Who Is the Company Behind Propensity US: Have Fibromyalgia?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Have Heart Disease](https://www.g2.com/products/propensity-us-have-heart-disease/reviews)

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 Data Integration: Aggregates extensive health and demographic data to provide a holistic view of heart disease risk factors across diverse populations. - Advanced Predictive Analytics: Utilizes sophisticated algorithms to estimate the probability of individuals developing heart disease, facilitating early detection and prevention strategies. - Customizable Reporting: Offers tailored reports and visualizations, enabling users to interpret data effectively and make informed decisions. - User-Friendly Interface: Designed with an intuitive interface that allows users to navigate and utilize the tool efficiently, regardless of technical expertise. Primary Value and Problem Solved: Propensity US: Have Heart Disease addresses the critical need for proactive heart disease management by providing actionable insights into individual and population-level risk factors. By identifying high-risk individuals early, healthcare providers can implement preventive measures, allocate resources more effectively, and ultimately reduce the incidence and burden of heart disease. This tool empowers stakeholders to make data-driven decisions, enhancing patient outcomes and contributing to the overall improvement of public health.

#### Who Is the Company Behind Propensity US: Have Heart Disease?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Have High Blood Pressure](https://www.g2.com/products/propensity-us-have-high-blood-pressure/reviews)

Propensity US: Have High Blood Pressure is a comprehensive dataset designed to help businesses and researchers identify and understand the likelihood of individuals in the United States having high blood pressure. By leveraging this dataset, users can gain valuable insights into the prevalence and distribution of hypertension across various demographics, enabling targeted health interventions, personalized marketing strategies, and informed decision-making. Key Features and Functionality: - Detailed Data Points: The dataset includes a wide range of variables such as age, gender, geographic location, and other relevant demographics, providing a holistic view of hypertension propensity. - High-Quality Data: Sourced from reputable and up-to-date sources, ensuring accuracy and reliability for analysis and application. - Customizable Segmentation: Users can filter and segment the data based on specific criteria to tailor insights to their unique needs. - Integration Capabilities: Easily integrates with various analytical tools and platforms, facilitating seamless data analysis and visualization. Primary Value and Solutions Provided: This dataset addresses the critical need for precise and actionable information on hypertension prevalence in the U.S. By utilizing this data, healthcare providers can develop targeted prevention and treatment programs, policymakers can allocate resources more effectively, and businesses can design health-related products and services that meet the specific needs of populations at risk. Ultimately, Propensity US: Have High Blood Pressure empowers users to make data-driven decisions that can lead to improved health outcomes and more efficient resource utilization.

#### Who Is the Company Behind Propensity US: Have High Blood Pressure?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Have High Cholesterol](https://www.g2.com/products/propensity-us-have-high-cholesterol/reviews)

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 likely to have high cholesterol. - Data-Driven Insights: Provides actionable information to inform marketing campaigns and product development. - Enhanced Targeting: Enables businesses to focus their efforts on a specific health-conscious demographic. Primary Value and User Solutions: This product addresses the need for precise consumer targeting in the health and wellness sector. By identifying individuals with a propensity for high cholesterol, businesses can: - Develop and promote products tailored to cholesterol management. - Craft personalized marketing messages that resonate with health-conscious consumers. - Optimize resource allocation by focusing on a relevant audience, thereby increasing marketing efficiency and effectiveness.

#### Who Is the Company Behind Propensity US: Have High Cholesterol?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Have Osteoporosis](https://www.g2.com/products/propensity-us-have-osteoporosis/reviews)

Propensity US: Have Osteoporosis is a predictive analytics tool designed to identify individuals within the United States who are at risk of osteoporosis. By leveraging advanced machine learning algorithms and comprehensive datasets, this product enables healthcare providers and researchers to proactively detect and manage osteoporosis, thereby reducing the incidence of fractures and associated healthcare costs. Key Features and Functionality: - Predictive Modeling: Utilizes sophisticated machine learning techniques to assess and predict osteoporosis risk based on various health indicators and demographic data. - Comprehensive Data Analysis: Analyzes extensive datasets, including patient medical histories, lifestyle factors, and genetic predispositions, to provide accurate risk assessments. - User-Friendly Interface: Offers an intuitive platform for healthcare professionals to input data and receive actionable insights regarding patient bone health. - Integration Capabilities: Seamlessly integrates with existing electronic health record (EHR systems, facilitating efficient data sharing and workflow integration. Primary Value and Problem Solved: Osteoporosis is a silent disease that often remains undiagnosed until a fracture occurs, leading to significant morbidity and mortality. Propensity US: Have Osteoporosis addresses this challenge by providing an early detection mechanism, allowing for timely intervention and personalized treatment plans. This proactive approach not only enhances patient outcomes but also contributes to the reduction of healthcare expenditures associated with osteoporotic fractures.

#### Who Is the Company Behind Propensity US: Have Osteoporosis?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Kroger Grocery Shopper](https://www.g2.com/products/propensity-us-kroger-grocery-shopper/reviews)

Propensity US: Kroger Grocery Shopper is a data-driven solution designed to help brands and marketers effectively target and engage Kroger's customer base. By leveraging advanced propensity models, this product enables businesses to identify and reach consumers who are most likely to shop at Kroger, thereby enhancing marketing efficiency and return on investment. Key Features and Functionality: - Retailer-Specific Propensity Models: Utilizes tailored models that predict the likelihood of consumers shopping at Kroger, allowing for precise audience targeting. - Data Enhancement Capabilities: Offers the ability to enrich existing customer data through a virtual clean room environment, ensuring privacy compliance while enhancing data quality. - Transparency and Performance Metrics: Provides clear metrics, such as Lift over Random, to assess model effectiveness before activation, eliminating the "black box" syndrome often associated with predictive models. Primary Value and User Benefits: Propensity US: Kroger Grocery Shopper addresses the challenge of efficiently reaching and engaging Kroger shoppers by offering precise targeting capabilities. This solution empowers brands to optimize their marketing strategies, reduce wasted ad spend, and improve campaign performance by focusing efforts on consumers with a higher likelihood of shopping at Kroger. Additionally, the transparency in model performance ensures that businesses can make informed decisions based on reliable data insights.

#### Who Is the Company Behind Propensity US: Kroger Grocery Shopper?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Lyft User](https://www.g2.com/products/propensity-us-lyft-user/reviews)

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, location, and ride history, offering a holistic view of user profiles. - Behavioral Insights: Analyze ride frequency, preferred routes, peak usage times, and payment methods to understand user habits and preferences. - Predictive Analytics: Utilize the dataset to develop models that forecast user behavior, aiding in targeted marketing strategies and service improvements. - Customizable Segmentation: Segment users based on various criteria to tailor services and promotions effectively. Primary Value and Solutions Provided: Propensity US: Lyft User empowers businesses, marketers, and researchers to gain deep insights into the Lyft user base, facilitating data-driven decision-making. By understanding user behavior and preferences, companies can enhance customer engagement, optimize marketing campaigns, and improve service offerings. This dataset serves as a valuable tool for identifying trends, predicting future behaviors, and developing strategies that align with user needs, ultimately driving growth and customer satisfaction.

#### Who Is the Company Behind Propensity US: Lyft User?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Macy's Clothing Shopper](https://www.g2.com/products/propensity-us-macy-s-clothing-shopper/reviews)

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 for precise audience targeting. - Integration with AWS SageMaker: Utilizes AWS SageMaker to develop and deploy accurate propensity models, ensuring scalability and efficiency. - Transparency and Performance Metrics: Offers Lift over Random metrics for each model, providing transparency and measurable performance indicators. Primary Value and User Benefits: Propensity US: Macy's Clothing Shopper addresses the challenge of effectively reaching Macy's clothing shoppers by offering a reliable and privacy-compliant data model. Brands can integrate this model with their existing customer data to control digital advertising spend, enhance targeting initiatives, and improve return on investment. By accessing detailed shopper insights, businesses can personalize marketing efforts, leading to increased customer engagement and sales.

#### Who Is the Company Behind Propensity US: Macy's Clothing Shopper?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Target for Electronics](https://www.g2.com/products/propensity-us-target-for-electronics/reviews)

Propensity US: Target for Electronics is a data-driven solution designed to help brands and marketers identify and target consumers with a high likelihood of purchasing electronics from Target stores. By leveraging Prosper Insights & Analytics' extensive consumer survey data, this tool enables precise audience segmentation and enhances the effectiveness of digital marketing campaigns. Key Features and Functionality: - Retailer-Specific Shopper Models: Provides propensity models tailored to Target electronics shoppers, allowing for focused marketing efforts. - Zero-Party Data Utilization: Utilizes data directly obtained from consumers through surveys, ensuring privacy compliance and accuracy. - Transparent Metrics: Offers Lift over Random metrics for each model, providing transparency and measurable effectiveness. - Virtual Clean Room Access: Enables brands to enhance their own data within a secure environment, facilitating better audience activation. Primary Value and User Solutions: Propensity US: Target for Electronics empowers brands to efficiently allocate marketing resources by focusing on consumers most likely to purchase electronics at Target. This targeted approach increases campaign ROI, reduces acquisition costs, and fosters stronger customer relationships through personalized marketing strategies. By integrating this solution, businesses can achieve more effective audience engagement and drive higher sales in the competitive electronics market.

#### Who Is the Company Behind Propensity US: Target for Electronics?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Propensity US: Uber User](https://www.g2.com/products/propensity-us-uber-user/reviews)

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 habits, frequency of use, and service preferences to identify emerging trends and patterns. - Geographical Insights: Understand regional variations in Uber usage across different U.S. markets, aiding in targeted marketing and strategic planning. - Customizable Data Segmentation: Filter and segment data based on specific criteria to tailor analyses to particular business needs. Primary Value and Solutions Provided: Propensity US: Uber User empowers businesses to make data-driven decisions by offering a granular view of Uber's customer base. This information is invaluable for: - Market Research: Identifying target demographics and understanding consumer behavior to refine product offerings and marketing strategies. - Competitive Analysis: Gaining insights into the ride-hailing market to benchmark performance and identify opportunities for differentiation. - Strategic Planning: Informing expansion plans, partnership opportunities, and investment decisions with accurate, up-to-date user data. By leveraging the insights provided by Propensity US: Uber User, organizations can enhance their understanding of the ride-hailing landscape and develop strategies that resonate with their target audience.

#### Who Is the Company Behind Propensity US: Uber User?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

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[Time Tracking Software](https://www.g2.com/categories/time-tracking-software)

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[SaaS Backup Software](https://www.g2.com/categories/saas-backup)

[Performance Management Software](https://www.g2.com/categories/performance-management)

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[Browse AWS Marketplace Themes](/categories/aws-marketplace/themes)

 ![Neeraja Prakash](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Neeraja Prakash")
NP

Researched and written by [Neeraja Prakash](https://research.g2.com/insights/author/neeraja-prakash)

Updated June 16, 2025

The AWS Marketplace category includes a diverse range of software solutions designed to enhance and optimize operations within the Amazon Web Services (AWS) ecosystem. These products offer pre-configured Amazon Machine Images (AMIs), container solutions, and specialized services that cater to various business needs, from secure web hosting and data labeling to machine learning model deployment and transportation cost prediction. By leveraging AWS infrastructure, these solutions provide scalability, security, and seamless integration with existing AWS services, enabling businesses to efficiently deploy, manage, and scale their applications and services in the cloud.

To qualify for inclusion in the AWS Marketplace category, a product must:

- Have features and use cases that do not fit into existing marketplace apps categories
- Be designed to integrate with or enhance the functionality of AWS services, providing value through pre-configured environments, specialized tools, or managed services

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