Optimizely vs. Google Optimize vs. Eppo: Which is best?
Optimizely vs. Google Optimize vs Eppo: Weigh out each platform’s features and costs so you can make the right choice with the help of our guide.
Ryan Lucht
Before joining Eppo, Ryan spent 6 years in the experimentation space consulting for companies like Clorox, Braintree, Yami, and DoorDash.
Optimizely vs. Google Optimize vs. Eppo may seem like a tough choice, but it really isn’t. Considering one of these platforms as your main experimentation platform?
We’ll compare these three platforms to clue you in and help you make a confident choice rather than just an educated guess. We do want to preface this article by saying that Google Optimize was sunsetted in late 2023.
Optimizely vs. Google Optimize vs. Eppo: Head-to-head
Optimizely
Google Optimize
Eppo
Core
focus
“Digital experience platform”
It was mainly focused on website experimentation only
Feature management and experimentation
Ideal
user
Marketing teams at large enterprises
with complex digital ecosystems
Small to medium businesses and single users
Any team that needs to prove the impact
of their features and changes via experimentation
Strengths
Wide suite of marketing tools for digital
experience, personalization
Was considered a good entry point for experimentation
Optimizely is a comprehensive Digital Experience Platform (DXP). It empowers marketing and product teams to refine and tailor their digital experiences across websites, mobile applications, and various other channels.
Originally an experimentation tool, Optimizely expanded its focus to encompass marketing-oriented capabilities following its acquisition of Episerver, a European CMS provider.
Optimizely's main features and capabilities include:
Experiments: Optimizely's foundational product lets businesses run A/B tests, multivariate tests, and feature experiments on both websites and mobile apps.
The aim is to run tests that yield dependableresults and drive data-informed decisions, ultimately enhancing conversions, engagement, and other critical business metrics.
Customization: For teams lacking the resources to develop their own models, Optimizely offers ready-to-use personalization solutions.
This means companies can deliver targeted content, product recommendations, and bespoke experiences to users based on their behavior, demographics, and preferences, creating more impactful digital experiences.
Content Management System (CMS): Optimizely's CMS allows teams to craft, manage, and deliver website content and digital experiences.
This is done through authoring and layout tools, APIs, content approval workflows, and more delivery options. When combined with the experimentation tool, it maximizes impact.
Data platform: Optimizely enables companies to centralize customer data, aligning brand strategy with the customer experience. This data might be separate from a business’s internal source of truth like a data warehouse. This leads to less reliable results.
Pricing
Optimizely's pricing structure is not publicly disclosed and typically involves contacting their sales team for a customized quote.
Optimizely operates mostly in the enterprise pricing realm, suggesting a substantial investment, especially for smaller companies or those with tighter budgets for experiments.
The requirement to purchase separate products for running experiments on websites, mobile apps, and server-side applications could be a deterrentfor many companies, potentially escalating their costs.
Who is it good for?
Optimizely is aimed at enterprises with intricate digital ecosystems and the financial capacity to invest in a DXP with all the bells and whistles.
Its extensive range of features can be useful for users aiming to optimize their digital experiences from head to toe. We’re talking content creation, experiments, customization, and analytics.
Optimizely does have certain limitations. The platform's complexity and enterprise-level pricing can pose challenges for smaller orgs or those with constrained resources.
Another notable drawback is the limited number of integrations with external business tools and tools offering deeper insights (such as your data warehouse). This can hinder analysis of the impact experiments have on key business metrics.
Google Optimize was a free website experimentation tool offered by Google. It was designed for marketing teams to test and refine their website experiences. Unfortunately, it was sunsetted on September 30, 2023, and is no longer available.
Launched as a standalone product, Google Optimize was later integrated with Google Analytics, providing a cohesive approach to website experimentation and analysis.
Key features and capabilities of Google Optimize included:
Experimentation: As its core functionality, Google Optimize enabled businesses to conduct A/B tests, multivariate tests, and redirect tests on their websites. This allowed for better decision-making after analyzing the results of said tests.
Personalization: Google Optimize offered basic personalization features. This allowed teams to create tailored experiences for specific user segments based on predefined criteria.
While not as complete as dedicated personalization platforms, it offered a foundational approach to personalization.
Reporting and analysis: Google Optimize provided basic reporting and analysis features that directly integrated with Google Analytics. This lets users track the performance of their experiments and gain insights into the impact of different variations on user behavior and conversion rates.
Pricing
Google Optimize was available as a free tool to all Google users. There was previously a paid version called Google Optimize 360, but it was also discontinued.
Who is it good for?
Google Optimize no longer exists, so it isn’t really good for anyone anymore.
While Google Optimize was a valuable tool for many, it was insufficient for businesses with more complex experimentation needs or those that required more advanced personalization features.
Although Google Optimize is no longer available, it served as a valuable resource for businesses to experiment with different website variations and optimize their online performance while it was active. Google stated they were investing in third-party A/B testing integrations for Google Analytics 4.
Eppo is an experimentation platform favored by data teams but designed with all business users in mind. It's specifically tailored to assist businesses in becoming experiment-driven rather than solely data-driven, offering a suite of analysis and feature management tools.
A distinguishing characteristic of Eppo is its warehouse-native nature, meaning it seamlessly integrates with your data warehouse (such as Snowflake and Redshift).
This integration enables businesses to analyze experiment results using their company's most precise and current data. This eliminates an organization’s need for intricate data pipelines or external integrations.
Eppo offers several notable features that set it apart from other experimentation platforms:
Full experimentation suite: Eppo offers a wide array of experimentation tools, ranging from simple A/B tests to more sophisticated techniques like multi-armed bandit algorithms. This empowers companies to test various hypotheses and refine their products based on actual user behavior.
Warehouse-native design: Eppo's direct integration with data warehouses ensures that businesses consistently work with the most accurate and dependable data, fostering confident decision-making.
Unmatched statistical rigor: Eppo employs advanced statistical methods, including their proprietary CUPED++, to expedite experimentation and deliver trustworthy results. This allows companies to conduct more experiments in less time without compromising statistical significance.
Sophisticated feature flagging: Eppo's advanced feature flagging lets teams securely test and deploy new features to specific user segments with less risk and more impact.
Intuitive user interface: Eppo's sleek and user-friendly interface simplifies the process of designing, launching, and analyzing experiments for both technical and non-technical users.
Pricing
Eppo's pricing structure requires contacting their sales team for a personalized quote.
Who is it good for?
Eppo is a great option for a diverse range of teams and organizations:
Data teams: Eppo's warehouse-native architecture and emphasis on statistical rigor make it a perfect choice for data scientists and analysts aiming to conduct accurate experiments and make smarter business decisions based on cold hard data.
Product teams: Eppo's experimentation and feature management capabilities equip product managers and developers to try out new ideas, confirm hypotheses, and confidently roll out features.
Businesses of all sizes: While Eppo's enterprise-ready features cater to big-league organizations, its sleek interface and cost-effectiveness also make it a solid choice for smaller businesses embarking on their experimentation journey.
Eppo is a robust and adaptable platform that can help businesses of all sizes in achieving their growth milestones. Its unique blend of features, dedication to statistical rigor, and user-friendly design cement it as a leading contender in the experimentation platform market.
Which should you choose?
Now it’s time to settle the Optimizely vs. Google Optimize vs. Eppo debate.
Selecting the right experimentation platform hinges on your specific requirements and priorities. Let's compare them based on three core factors:
Focus and strengths
Google Optimize: It primarily focused on providing basic A/B testing and website experimentation capabilities. Google contents experiments vs. Optimizely were also superior. However, while user-friendly and integrated with Google Analytics, it lacked the advanced features of some competitors and was discontinued in 2023.
Optimizely: This platform presents a broad suite of tools for digital experience optimization, encompassing A/B testing, personalization, and content management. It's particularly suited for large enterprises seeking a platform to manage their entire digital presence.
Eppo: This platform is purpose-built for experimentation. Its distinctive warehouse-native architecture, full experimentation suite, and emphasis on statistical rigor make it the preferred choice for teams looking to test and iterate rapidly with confidence in their data.
Cost and value
Google Optimize: Being a free tool, it was accessible to businesses of all sizes. However, its capabilities were limited compared to paid alternatives.
Optimizely: This platform usually operates on an enterprise pricing model, which may not be financially viable for smaller businesses with limited budgets.
Eppo: While pricing is not publicly available, Eppo is considered a cost-effective solution that delivers significant value through its unique combination of warehouse-native integration and unique feature management features.
Ease of use and integrations
Google Optimize: It was recognized for its user-friendly interface and direct integration with Google Analytics, making it easy to use for those familiar with the Google ecosystem.
Optimizely: Although it boasts a wide range of tools, their sheer number can be daunting for some users. Additionally, the limited compatibility with external business tools may present a challenge.
Eppo: Boasts a clean, intuitive interface that simplifies the process of designing, launching, and analyzing experiments. Its warehouse-native architecture streamlines integration, allowing for access to accurate and up-to-date data.
The final verdict
While Google Optimize was a useful tool during its availability, its sunsetting leaves Eppo as the clear winner for businesses seeking a robust experimentation platform, especially since Optimizely isn’t up to par with Eppo’s offering either.
In sum, Eppo's strengths lie in its:
Singular focus on experimentation: Eppo is purpose-built for experimentation, offering a comprehensive toolkit and a data-driven approach that empowers teams to make informed decisions quickly.
Distinctive warehouse-native architecture: This unique feature ensures that experiments are grounded in the most accurate and current data, resulting in more reliable outcomes.
Cost-effectiveness: Eppo's pricing model is designed to accommodate businesses of all sizes, making it a valuable investment for the features and capabilities it offers.
Intuitive interface and streamlined integration: Eppo's user-friendly interface and streamlined integration process enhance usability and simplify incorporation into existing workflows.
Next steps
After comparing Optimizely vs. Google Optimize vs. Eppo, you are better equipped to choose a platform that aligns with your specific business objectives.
If propelling revenue growth and bolstering customer retention through rigorous and data-centric experimentation is your primary focus, Eppo emerges as an enticing option.
Eppo's unique approach to experimentation sets it apart, offering a toolkit designed to deliver tangible business results:
Intuitive experiment creation: Eppo streamlines the creation of complex experiments, combining powerful feature flags with intuitive tools to address intricate scenarios like multi-environment releases and layered experiments.
Confident experiment launches: Eppo's diagnostic tools and real-time monitoring features let you launch experiments confidently, guaranteeing smooth execution and the immediate identification of any potential issues.
Actionable insights from experiment analysis: With Eppo's advanced statistical engine, raw data is transformed into actionable insights, making it effortless to interpret results and uncover hidden patterns that can fuel further optimization efforts.