Eppo and Taplytics are both experimentation platforms that enable A/B testing, feature flagging, and personalization across web and mobile applications.

While Eppo focuses on a warehouse-native architecture for centralized metric governance and key-metric impact measurement, Taplytics emphasizes its AI-driven personalization capabilities and no-code A/B testing for both web and native mobile apps.

What is Eppo?

Eppo is a next-generation experimentation platform that makes advanced A/B testing accessible to everyone in an organization. The company's end-to-end solution enables businesses to accelerate experiment velocity without compromising rigor, make better decisions with confidence, and achieve self-serve experimentation.

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 modern data teams seeking advanced experimentation capabilities. It integrates with existing analytics infrastructure and engineering workflows, providing support for every stage of the experiment lifecycle, from planning and setup to monitoring, reporting, and deep-dive analysis.

What is Taplytics?

Taplytics is a modern A/B testing platform that provides cross-platform experimentation solutions for product and marketing teams. The company offers a full-stack A/B testing solution designed to empower teams to make data-driven decisions and optimize their digital experiences.

Taplytics' core offerings include:

• A/B testing: No-code A/B testing for both web and native mobile apps

• Feature flags: Controlled feature rollouts to cut deployment risk and improve development time

• AI-driven personalization: Deliver targeted experiences to specific user segments

Taplytics' platform is geared toward product and marketing teams across various industries, including finance, insurance, retail, e-commerce, media, entertainment, food, and quick-service restaurants. The company serves a diverse range of well-known brands, such as Chick-fil-A, Ticketmaster, Realtor.com, RBC, and Zappos.

Pricing comparison

Eppo's pricing model is not publicly disclosed, requiring potential customers to request a demo to discuss their specific needs and receive a customized quote.

Taplytics offers a tiered pricing model with Pro, Enterprise, and Custom plans, starting at $500 per month for the Pro plan with unlimited A/B testing and feature flags.

Considerations and limitations: Eppo

Eppo is well-suited for organizations seeking advanced experimentation methods and a warehouse-native architecture. The platform's sophisticated statistical engine, support for methods like CUPED variance reduction, and centralized metric governance make it an ideal choice for teams looking to unlock advanced experimentation capabilities. Eppo's integration with popular data warehouses and analytics tools also makes it a good fit for organizations with existing data infrastructure.

However, Eppo's focus on advanced experimentation methods may be overkill for teams with simpler requirements. The platform's extensive feature set and warehouse-native architecture could introduce unnecessary complexity for organizations that don't need them. Additionally, the lack of publicly available pricing information may make it difficult for potential customers to evaluate the cost-effectiveness of the platform without engaging in a demo or consultation.

• TL;DR: Eppo is better suited for organizations seeking advanced experimentation capabilities and warehouse-native architecture, but may not be the best fit for teams with simpler requirements or those needing transparent pricing information.

Considerations and limitations: Taplytics

Taplytics is well-suited for teams focused on A/B testing and personalization across web and mobile platforms. The platform's no-code testing capabilities and AI-driven personalization make it an attractive choice for product and marketing teams looking to optimize their digital experiences. Taplytics' customer success team and real-time technical support also make it a good fit for organizations that value hands-on assistance.

However, Taplytics may have limitations for teams requiring more advanced experimentation capabilities, such as complex multivariate testing or server-side experimentation. The platform's focus on client-side testing and personalization could be insufficient for organizations with more sophisticated experimentation needs. Additionally, while Taplytics serves enterprise clients, there is limited public information about the platform's enterprise-level features and support, which could be a consideration for larger organizations.

• TL;DR: Taplytics is better suited for teams prioritizing client-side A/B testing and personalization, but may not be the best fit for those requiring advanced experimentation capabilities or enterprise-level features.

An alternative: Statsig

Statsig is an all-in-one platform that offers feature flags, product analytics, and experimentation — trusted by companies like OpenAI, Notion, and Atlassian. We provide a scalable solution for companies of all sizes, from startups to enterprises, with transparent pricing and a generous free tier. Sign up for free to get started, or request a demo to learn how Statsig can help you build better products faster.