Eppo and AB Tasty are both digital experience optimization platforms that help businesses improve their online presence through experimentation and personalization.

While Eppo focuses on making advanced A/B testing accessible to everyone in an organization with a warehouse-native architecture, AB Tasty offers a broader suite of tools, including AI-powered recommendations, intelligent search, and progressive rollouts, catering to businesses across various industries.

What is Eppo?

Eppo is a next-generation experimentation platform designed for modern data teams. The company offers an end-to-end solution that makes advanced A/B testing accessible to everyone in an organization, enabling businesses to accelerate experiment velocity without compromising rigor.

Eppo's core offerings include:

• Experimentation: Leverage a warehouse-native architecture to power a world-class statistical engine

• Feature Flagging: Provide fast and resilient feature flags for A/B tests, feature gates, and controlled rollouts

• Personalization: Unlock new possibilities using Contextual Bandits to optimize user experiences in real-time

• AI Model Evaluation: Build more effective AI products by evaluating models through experiments with trusted business metrics

Eppo's platform is geared toward fast-growing teams looking to unlock advanced experimentation methods such as holdouts for measuring the cumulative impact of experimentation programs, contextual bandits for personalization, and mutually exclusive experiments for enterprise teams requiring guaranteed isolation.

What is AB Tasty?

AB Tasty is a digital experience optimization platform that helps businesses improve their online presence through experimentation, personalization, and AI-driven optimization. The company offers a comprehensive suite of tools designed to enhance user engagement, increase conversions, and maximize return on investment across all digital channels.

AB Tasty's core offerings include:

• Web experimentation: A/B testing capabilities to make data-driven decisions and reach conversion goals quickly

• Feature experimentation: Test new features and functionalities to optimize user experiences

• Personalization: Create tailored experiences for each individual, combining specificity with scale to boost engagement and loyalty

• AI-powered recommendations: Highlight cross-sell opportunities and improve product discovery through intelligent recommendations

• Search optimization: Enhance search functionality to help users find relevant content and products more easily

AB Tasty's platform is geared toward businesses across various industries looking to optimize online experiences. The company serves a global clientele of over 1,000 brands, including well-known names such as Clarins, L'Oréal, Sephora, Club Med, USA Today, and Eurosport.

Pricing comparison

Eppo's pricing information is not publicly disclosed; interested parties need to contact Eppo for a customized quote based on their specific needs and usage requirements.

AB Tasty's pricing model is also not explicitly stated; businesses need to contact AB Tasty directly for personalized pricing based on their unique optimization goals and traffic volume.

Considerations and limitations: Eppo

Eppo's warehouse-native architecture is well-suited for teams with existing data warehouses and analytics infrastructure. This approach enables complete metric governance, allows measuring impact on key metrics, keeps data warehouse costs down, and avoids security and data privacy concerns. Eppo's platform is designed for fast-growing teams looking to unlock advanced experimentation methods such as holdouts, contextual bandits, and mutually exclusive experiments.

However, Eppo's platform may have limitations for teams without significant engineering resources or data infrastructure. The platform's integration with tools like Snowflake, Google BigQuery, Amazon Redshift, and Databricks suggests that a certain level of technical expertise and existing data infrastructure is required to fully leverage Eppo's capabilities. Teams without these resources may find it challenging to implement and maintain Eppo's experimentation platform effectively.

• TL;DR: Eppo is better suited for teams with existing data warehouses and analytics infrastructure, but may have limitations for teams without significant engineering resources or data infrastructure.

Considerations and limitations: AB Tasty

AB Tasty offers a comprehensive suite of tools for digital experience optimization, making it well-suited for businesses across various industries looking to improve their online presence. The platform's user-friendly interface and extensive range of features, including web experimentation, personalization, and AI-powered recommendations, enable businesses to enhance user engagement, increase conversions, and maximize ROI.

However, while AB Tasty provides a wide range of capabilities, its platform may not be as specialized for advanced experimentation methods as Eppo's offering. Businesses with complex experimentation needs or those requiring more granular control over their experiments may find Eppo's platform better suited to their requirements.

• TL;DR: AB Tasty is better suited for businesses seeking a comprehensive digital experience optimization platform, but may not be as well-suited for those requiring advanced experimentation capabilities compared to Eppo.

An alternative: Statsig

Statsig is an all-in-one platform that offers feature flags, experimentation, and product analytics. It's a great option for companies of all sizes, from startups to enterprises like Notion, Atlassian, and Microsoft. Sign up for free to get started, or contact us for a demo to see how Statsig can help you ship faster and drive growth.