Optimizely and Eppo compared

Optimizely and Eppo are both experimentation platforms that enable businesses to create and test digital experiences.

However, Optimizely offers a comprehensive suite of products for content management, personalization, and analytics, while Eppo focuses specifically on advanced A/B testing and AI-powered experimentation.

What is Optimizely?

Optimizely is a leading digital experience platform that empowers businesses to create exceptional customer experiences across their entire journey. The company's comprehensive suite of products enables marketers, product managers, and developers to collaborate seamlessly on delivering engaging, relevant, and profitable digital experiences.

Optimizely's core offerings include:

• Content management: Tools for planning, creating, and launching next-level experiences

• Experimentation: Combining testing, customer data, and personalization for meaningful 1:1 interactions

• Personalization: Delivering tailored experiences at every touchpoint

• Analytics: Gaining insights to make data-driven decisions and optimize performance

By providing an all-in-one solution that spans content management, digital asset management, e-commerce, web and feature experimentation, and personalization, Optimizely helps teams work efficiently and effectively. The platform is designed to solve modern challenges faced by digital teams, such as siloed data, disconnected systems, and the need for rapid experimentation and personalization.

What is Eppo?

Eppo is a next-generation experimentation platform designed to make advanced A/B testing accessible to everyone in an organization. The platform offers an end-to-end solution that enables businesses to accelerate experiment velocity without compromising rigor. Eppo's core offerings include:

• Experimentation: Leverages a warehouse-native architecture to power a world-class statistical engine, automating experiment analysis while maintaining rigor

• Feature Flagging: Provides fast and resilient feature flags for A/B tests, feature gates, controlled rollouts, kill switches, and dynamic no-code configuration

• Personalization: Unlocks new possibilities using Contextual Bandits, automatically optimizing user experiences in real-time or getting more value from AI models

• AI Model Evaluation: Allows businesses to build more effective AI products by evaluating AI models through experiments with trusted business metrics

Eppo's platform is geared toward data teams and organizations seeking advanced experimentation. It integrates with existing analytics infrastructure and engineering workflows, providing support for every stage of the experiment lifecycle. You can learn more about Eppo's platform on their website: https://www.geteppo.com/experimentation.

Pricing comparison

Optimizely offers customized pricing plans tailored to the specific needs of each customer. Their pricing model and specific costs are not publicly disclosed, as they vary based on the customer's requirements and usage volume. Optimizely's sales team works with each customer to understand their unique needs and provide a customized pricing plan that scales according to their usage.

Eppo's pricing information is also not publicly available on their website. Interested parties are required to contact their team of data scientists, statisticians, and experimentation leaders to discuss their specific needs and receive a customized pricing quote. This approach suggests that Eppo likely offers tailored pricing plans based on factors such as the volume of usage, complexity of experiments, and level of support required by each customer.

Based on the limited information available, it is difficult to determine which platform offers a more cost-effective solution. However, given that both Optimizely and Eppo provide customized pricing plans, it is likely that the final cost will depend on the specific requirements and scale of each organization. Factors such as the number of users, volume of experiments, and level of support needed will play a significant role in determining the overall cost of using either platform.

Considerations and Limitations: Optimizely

Optimizely is a comprehensive digital experience platform that offers an all-in-one solution for businesses looking to create exceptional customer experiences. Its suite of products spans content management, digital asset management, e-commerce, experimentation, and personalization, making it well-suited for organizations seeking a unified approach to digital optimization. However, this broad scope may not be ideal for all teams.

Some limitations of Optimizely include:

• Potential for siloed data and disconnected systems, depending on how the platform is implemented and integrated with existing tools.

• A strong focus on marketing and customer experience, which may not align with the needs of all organizations or use cases.

• The all-in-one nature of the platform could be overwhelming for teams that only require specific functionalities.

• TL;DR: Optimizely is better suited for businesses seeking a comprehensive digital experience platform, but may not be as well-suited for teams with more focused needs or those concerned about data silos and system integration.

Considerations and Limitations: Eppo

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

However, Eppo's focus on experimentation may not suit organizations with broader needs beyond A/B testing, such as those requiring extensive personalization or feature management tools. Some potential limitations of Eppo include:

• Lack of publicly available pricing information, which may make it difficult for companies to assess the cost-benefit ratio upfront

• Limited non-experimentation features compared to more comprehensive platforms like Optimizely, which offer a wider range of tools for managing the entire customer experience

• TL;DR: Eppo is well-suited for data-driven teams prioritizing advanced experimentation, but may not be the best fit for organizations with broader needs beyond A/B testing

An alternative: Statsig

Statsig is a comprehensive experimentation platform that also offers feature management and analytics, trusted by top companies like OpenAI, Notion, and Brex. With Statsig, you can manage feature flags, run A/B tests, analyze user behavior, and leverage advanced experimentation features like CUPED.

One of Statsig's key advantages is its affordability and scalability. Whether you're a startup or an enterprise, Statsig offers a pricing model that can accommodate your needs. The platform's generous free tier includes unlimited feature flags, 2 million events per month for analytics and experiments, and 10,000 session replays per month.

To discover how Statsig can support your business, book a demo or sign up for a free account!