Eppo vs. Optimizely
Accelerate experiment velocity, without compromising rigor.
Eppo empowers you to drive an experimentation culture with best-in-class statistical rigor:
- Empower all teams with experimentation: Empower an entrepreneurial mindset across all teams including those in product and engineering, as well as go-to-market such as sales, marketing, and so on.
- Maximize decision-making velocity: Eppo’s intuitive user interface (UI) and mature features ensure maximum experimentation velocity.
- Understand causal impact of drivers and outcomes: Empower smart decision-making with best-in-class, rigorous statistical methods built by experts.
So how do these benefits contrast with Optimizely? Here’s a brief overview of Eppo’s philosophy, approach, and benefits to give you guidelines as to what to look out for.
The Eppo Vision
Eppo’s vision is to empower a successful experimentation culture because a rigorous, statistics-based, data-driven approach drives the best decision-making.
A foundation of strong statistics is critical to successful experimentation, and it must be ingrained in the solution, ideally in an easily accessible way. Eppo is built by some of the most respected experimentation experts, engineers, and statisticians – including alumni from Airbnb, Stitchfix, LinkedIn, and Uber. Their expertise is ingrained in the platform. By combining approachability and intuitive design with a world class statistics engine, we are empowering you to drive a successful experimentation culture.
Next it’s about easy usability. Eppo was built to be used by everyone in the organization, regardless of their role. Product managers and engineering teams rely upon the experimentation features to direct their product’s evolution. Eppo’s Insights dashboard is easily consumable by senior execs as well as go-to-market staff. Meanwhile, advanced settings are easily accessible for knowledgeable stats teams.
Empower all teams with experimentation
Eppo helps your company to instill an entrepreneurial mindset across product and go-to-market teams by making it desirable and easy to experiment. That’s achieved in the following ways:
- Build trust with transparency with business stakeholders by targeting meaningful business and financial metrics instead of vanity metrics. While it’s important to measure what’s required, it doesn’t mean we are overly obsessed with measuring every single thing, just to show some flashy charts. Our advice is to measure that which may drive outcomes. Focus on the causative factors, and Eppo helps you figure that out.
- Drive experimentation adoption, for both technical and non-technical users, through user-friendly interface and helpful guardrails. As described earlier, an easy, mature user interface designed for everyone helps to drive adoption across the organization.
- Easily empower experimentation implementation through flexible SDKs and the ability to deploy quickly with guardrails that minimize efforts.
Maximize decision-making velocity
Eppo empowers teams to maximize decision-making velocity with an intuitive user interface and mature features.
The Eppo team has worked on experimentation at companies both big and small. Sometimes the mandate for experimentation was clear. Other times, it was an uphill battle dealing with transformational data, product teams, and go-to-market leaders. Eppo doesn’t presume that you are already in the top percentile of experimentation culture maturity. We’re here to help you grow from wherever you’re starting, whether that’s 0 to 1, or evolving an already-thriving program.
Elegant, intuitive user interface
From simple on-off flags to gradual rollouts and full-blown experiments, Eppo’s enterprise-grade feature flagging tools are designed to make it easy to allocate traffic and test across environments.
Mature features
End-to-end, mature capabilities minimize 3rd party tools and other departmental dependencies when exploring results, thus reducing the cost of an experiment. Eppo is consistently focused on going the extra mile to involve customers when designing our product, and when we receive feedback that the UI needs clarification, we rapidly innovate on it.
Self-service empowerment
Eppo empowers all teams with self-service exploration, custom report building, and context curation that power decision-making dialog faster.
Understand causal impact of drivers and outcomes
A great user interface is important. And the best-in-class statistics underneath is table stakes for world-class experimentation. That’s because the statistics are what guarantee precise understanding of the drivers in outcomes. You need outcomes to be understood, scrutinized, and respected. Anything else is just too risky.
Why does experience matter in experimentation?
Our number one obligation to customers is to provide trustworthy, reliable experiment results. The point of running experiments is to make sound business decisions, and if there are flaws in the underlying math, you could walk away with incorrect or even harmful conclusions.
Eppo’s founding team has built experimentation tools for some of the biggest names across a variety of industries—Airbnb (Travel), Stitchfix (Ecommerce), Uber (Marketplace), LinkedIn (Social Network), and Netflix (Media/Entertainment). Each of these companies operates in different spaces with their own unique challenges. This broad experience gives Eppo the ability to create experimentation solutions tailored to different business models. We understand the specific challenges that come with different industries and can deliver a flexible, proven platform that’s designed to meet your needs.
Deep experience across a range of industries means Eppo’s team developed a well-rounded understanding of what makes experimentation successful in a variety of contexts. It’s not just about the tools; it’s about best practices, processes, and guides that our team of experts shares with our customers regularly, which helps us get you up and running faster than the competition.
Collaborative customer success help: white glove service, to ensure maximum value.
Even though Eppo is easy to use, and its underlying statistics are the most powerful in its segment, we understand it may still require guidance as your experimentation culture matures. We’re here to help with a deep bench of customer success experts to ensure your experimentation velocity has no limits.
Why customers choose Eppo over Optimizely
Drive an experimentation culture: Eppo is designed to be easily used by every team in the organization. Customers report experiencing 3x or more increase in experimentation adoption across the company with Eppo vs. Optimizely.
Plan right: Aside from some templates, Optimizely doesn’t provide comprehensive experimentation planning to ensure a build and manage a comprehensive experimentation strategy holistically. Eppo delivers team-level organization and performance scorecards, a full experiment report builder, as well as a knowledge repository so that learnings from past experiments may be referenced, compared, and re-used.
Experiment transparently and securely with your own data
- The importance of warehouse-native: Optimizely requires you to send your data externally to a warehouse for analysis. That’s inefficient and dangerous. Eppo integrates with all the leading cloud data warehouses: Snowflake, Databricks, Google BigQuery, and Amazon Redshift. That delivers a number of crucial benefits:
- Transparency, trustworthiness, and control: Optimizely’s data processing is opaque, creating trust issues. Teams could not easily debug or understand how data was cleaned, allocated, or analyzed within Optimizely. Customers report confidence in experimentation skyrocketing using Eppo with a single source of truth for both business reporting and experimentation data, leading to more confident decision-making and the ability to take bigger strategic bets. Engineering and data teams saved significant time with Eppo by reducing the need for manual debugging and experiment management as done with Optimizely.
- Secure data: Data lives in Optimizely. You need to get it out to do stats. Shipping key business metrics to a 3rd party with Optimizely is a non-starter. As Eppo is warehouse-native, that’s not an issue. With Eppo, there’s no egressing of sensitive data, no shadow warehouses that require constant syncs, and it’s easy to meet regulatory compliance requirements such as GDPR.
- Discern the signal from the noise with Performance Scorecards, Eppo’s enterprise-scale metric management. You can measure aggregate impact, align teams around inputs (number and quality of experiments) and outputs (impact), and more.
- Self-Serve Analysis: Customers enjoy up to 7x decreased analysis time with Eppo vs. Optimizely. For example one Optimizely customer took up to two weeks to complete an analysis with Optimizely. Meanwhile, Eppo enabled same-day analysis, translating to a faster decision-making process.
- Ensure cost-effectiveness: Customers realized significant software cost savings with Eppo vs. Optimizely.
- Licensing: Optimizely appears to have a complex pricing structure that may make it cost-prohibitive to start as well as to foresee how costs may increase over time.
Operations
- Storage: Eppo doesn’t store your data separately. Therefore there’s no storage cost redundancy as it’s already in your cloud data platform.
- Reduces pipeline costs by 90%: Eppo is hyper-optimized to your warehouse
- Eppo shortens experiment runtime with CUPED++
- Enjoy flexibility: Optimizely’s proprietary stats engine lacks flexibility of Eppo, and 3rd-party integrations are cumbersome to set up.
Let us show how Eppo can help your company adopt an experimentation culture today.
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