Why Optimizely Customers are Switching to GrowthBook

As the most popular open-source feature flagging and experimentation platform, GrowthBook is a great alternative to Optimizely.
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Why data-driven teams choose GrowthBook

Trust

GrowthBook integrates into your data warehouse, creating a single source of truth so you can trust the results of your A/B testing. We also expose all SQL used to generate results, and even let you export to a Jupyter notebook.

Performance

GrowthBook’s  SDKs are built to the highest standards; they are blazingly fast and lightweight (many times smaller than Optimizely). Ideal for engineers, data scientists and marketers; integrates across websites and applications.

Cost-effective

Offers more affordable pricing compared to Optimizely, without sacrificing quality or features.

Data Privacy

GrowthBook keeps your data private by avoiding third-party storage, enhancing security. You can even host GrowthBook on prem.

Customizable

GrowthBook is completely customizable: Create custom metrics in SQL, and define how you want them to be shown. GrowthBook can also be customized to match your program’s needs with custom fields and checklists.

Advanced Statistics

GrowthBook offers an enterprise class statistics package: including Bayesian, Frequentist, Sequential, CUPED, Benjamini-Hochberg corrections, and more—all with the ability to tune settings.

GrowthBook vs. Optimizely

Many more differences exist between GrowthBook and Optimizely, and both are great tools. Try GrowthBook yourself to see how they compare.

Platform

Feature Flagging
Decouple feature deployment from release, and easily turn on/off features‍
Advanced Targeting
Target features to specific users or based on specific attributes
Experimentation
Easily create A/B tests based on features
Advanced Experiment Analysis
An advanced reporting framework that allows data teams complete flexibility for a deeper analysis
Statistics Engines & Options
What statistical engines are available for experiment analysis. Statistical engine options be adjusted
Bayesian, Frequentist, Sequential, CUPED, & advanced data quality checks
Sequential, SRM checks
Custom Metrics
Create complex metrics with SQL to match your data
Data Transparency
Full transparency into what is happening behind the scenes with your A/B tests.
Flexible Data Sources
Supports connecting to your existing data sources where ever they are (warehouse native)
Visual Experiment Editor
Ability to make experiments from the client side of web pages.
Multiple Environments
Supports dev and production environments
Ability to Self-host
Run on your own data center to ensure your data is protected

Performance

High Performance
Calls are evaluated locally for maximum performance
No required third-party calls
Integration does not require a third-party API call to render your feature
SDKs
Supports multiple languages on mobile, front end and back end

Support & Pricing

Direct access to Engineers via Slack
When you have questions or problems, can you talk to the people who built it
Pricing
Generous FREE tiers for Cloud and Self-hosted accounts. Per-seat pricing for paid plans.
Expensive—pricing based on MAU.
No free tier.

Unlimited experiments. Unlimited traffic. Full data control.

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No credit card. No surprises. Just experimentation that scales.