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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Optimize

    Score6.7 out of 10
    N/AGoogle offers the Optimize A/B testing tool for testing website content and versions.N/A

    Optimizely Feature Experimentation

    Score8.4 out of 10
    N/AOptimizely Feature Experimentation unites feature flagging, A/B testing, and built-in collaboration—so marketers can release, experiment, and optimize with confidence in one platform.N/A
    Pricing
    Google OptimizeOptimizely Feature Experimentation
    Editions & Modules
    Google Optimize
    Free
    No answers on this topic
    Offerings
    Pricing Offerings
    Google OptimizeOptimizely Feature Experimentation
    Free Trial
    NoNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeRequired
    Additional Details——
    More Pricing Information
    Community Pulse
    Google OptimizeOptimizely Feature Experimentation
    Considered Both Products
    Google
    No answer on this topic
    Optimizely
    Chose Optimizely Feature Experimentation
    Google Optimize is great that it is an add on to an existing Analytics implementation, but only has a web version. Optimizely has the SDK so better option for testing new features
    Incentivized
    Chose Optimizely Feature Experimentation
    When Google Optimize goes off we searched for a tool where you can be sure to get a good GA4 implementation and easy to use for IT team and product team.

    Optimizely Feature Experimentation seems to have a good balance between pricing and capabilities.
    Incentivized
    Chose Optimizely Feature Experimentation
    Before we chose Optimizely, we looked at other options like Google Optimize. However, we decided on Optimizely because it excels at A/B testing, even compared to other A/B testing tools that only have basic capabilities. Since we were working on a controlled release project, we …
    Incentivized
    Chose Optimizely Feature Experimentation
    Optimizely FX is the only tool I've used that specifically allows for testing in the back-end. Most front end tools are great for simple tests, but there comes a time when you need to go a level deeper and that's not possible with front-end tools.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    6 Answers
    89%
    Would buy again
    41 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    6 Answers
    97%
    Delivers good value for the price
    33 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    6 Answers
    91%
    Happy with the feature set
    42 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    6 Answers
    88%
    Lived up to sales and marketing promises
    21 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    6 Answers
    80%
    Implementation went as expected
    28 Answers
    Features
    Google OptimizeOptimizely Feature Experimentation
    Testing and Experimentation
    Comparison of Testing and Experimentation features of Google Optimize and Optimizely Feature Experimentation
    Feature
    Google Optimize
    4.9
    8 Ratings
    53% below category average
    Optimizely Feature Experimentation
    -
    Ratings
    a/b experiment testing4.08 Ratings00 Ratings
    Split URL testing2.08 Ratings00 Ratings
    Multivariate testing4.08 Ratings00 Ratings
    Multi-page/funnel testing1.06 Ratings00 Ratings
    Cross-browser testing6.44 Ratings00 Ratings
    Mobile app testing2.72 Ratings00 Ratings
    Test significance1.07 Ratings00 Ratings
    Visual / WYSIWYG editor3.07 Ratings00 Ratings
    Advanced code editor2.07 Ratings00 Ratings
    Page surveys5.02 Ratings00 Ratings
    Visitor recordings10.01 Ratings00 Ratings
    Preview mode3.06 Ratings00 Ratings
    Test duration calculator9.03 Ratings00 Ratings
    Experiment scheduler7.05 Ratings00 Ratings
    Experiment workflow and approval8.93 Ratings00 Ratings
    Dynamic experiment activation6.92 Ratings00 Ratings
    Client-side tests7.04 Ratings00 Ratings
    Server-side tests2.62 Ratings00 Ratings
    Mutually exclusive tests8.02 Ratings00 Ratings
    Audience Segmentation & Targeting
    Comparison of Audience Segmentation & Targeting features of Google Optimize and Optimizely Feature Experimentation
    Feature
    Google Optimize
    7.0
    8 Ratings
    22% below category average
    Optimizely Feature Experimentation
    -
    Ratings
    Standard visitor segmentation6.08 Ratings00 Ratings
    Behavioral visitor segmentation7.06 Ratings00 Ratings
    Traffic allocation control8.07 Ratings00 Ratings
    Website personalization7.07 Ratings00 Ratings
    Results and Analysis
    Comparison of Results and Analysis features of Google Optimize and Optimizely Feature Experimentation
    Feature
    Google Optimize
    8.2
    8 Ratings
    5% below category average
    Optimizely Feature Experimentation
    -
    Ratings
    Heatmap tool2.01 Ratings00 Ratings
    Click analytics9.03 Ratings00 Ratings
    Scroll maps9.02 Ratings00 Ratings
    Form fill analysis8.01 Ratings00 Ratings
    Conversion tracking9.06 Ratings00 Ratings
    Goal tracking8.07 Ratings00 Ratings
    Test reporting7.06 Ratings00 Ratings
    Results segmentation10.04 Ratings00 Ratings
    CSV export9.93 Ratings00 Ratings
    Experiments results dashboard9.97 Ratings00 Ratings
    Best Alternatives
    Google OptimizeOptimizely Feature Experimentation
    Small Businesses
    Google Content Experiments (discontinued)
    Score7.3 out of 10
    No answers on this topic
    Medium-sized Companies
    AB Tasty
    Score8.6 out of 10
    No answers on this topic
    Enterprises
    Google Content Experiments (discontinued)
    Score7.3 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google OptimizeOptimizely Feature Experimentation
    Likelihood to Recommend
    5.0
    (10 ratings)
    8.2
    (47 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    4.5
    (2 ratings)
    Usability
    10.0
    (1 ratings)
    7.6
    (26 ratings)
    Support Rating
    8.7
    (4 ratings)
    3.6
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    Google OptimizeOptimizely Feature Experimentation
    Likelihood to Recommend
    Google
    It is a little too limited for a full stack experimentation programme. Many times we required development support or tech advise but we were simply unable to get this due to it being google. This was a big problem for us. However it is quite good if you were looking to get started in experimentation and didn’t have the budgets for a wider tool
    Incentivized
    Read full review
    Optimizely
    Based on my experience with Optimizely Feature Experimentation, I can highlight several scenarios where it excels and a few where it may be less suitable. Well-suited scenarios: - Multi-Channel product launches - Complex A/B testing and feature flag management - Gradual rollout and risk mitigation Less suited scenarios: - Simple A/B tests (their Web Experimentation product is probably better for that) - Non-technical team usage -
    Incentivized
    Read full review
    Pros
    Google
    • Easy to follow set up procedures. Once I walk a client through the process, it's effortless for them to emulate on subsequent tests.
    • Lots of geo and user attribute customization features to be able to drill down into specific targeted audiences — all based on the power of Google's immense data system.
    • Google Optimize is the logical choice for many people to start with since most are already familiar with and using GA.
    Incentivized
    Read full review
    Optimizely
    • It is easy to use any of our product owners, marketers, developers can set up experiments and roll them out with some developer support. So the key thing there is this front end UI easy to use and maybe this will come later, but the new features such as Opal and the analytics or database centric engine is something we're interested in as well.
    Incentivized
    Read full review
    Cons
    Google
    • Only works for browsers, not for the apps testing.
    • Missing possibility to test complicated features.
    • Audience division in groups is not always accurate.
    Incentivized
    Read full review
    Optimizely
    • Would be nice to able to switch variants between say an MVT to a 50:50 if one of the variants is not performing very well quickly and effectively so can still use the standardised report
    • Interface can feel very bare bones/not very many graphs or visuals, which other providers have to make it a bit more engaging
    • Doesn't show easily what each variant that is live looks like, so can be hard to remember what is actually being shown in each test
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    No answers on this topic
    Optimizely
    Competitive landscape
    Incentivized
    Read full review
    Usability
    Google
    Google has always been known to make easy-to-use products. The Google Optimize interface is intuitive and easy to follow for anyone.
    Incentivized
    Read full review
    Optimizely
    Easy to navigate the UI. Once you know how to use it, it is very easy to run experiments. And when the experiment is setup, the SDK code variables are generated and available for developers to use immediately so they can quickly build the experiment code
    Incentivized
    Read full review
    Support Rating
    Google
    Google has well-documented resources and unlimited use cases that can be found online. Plus, their support is always helpful and available.
    Incentivized
    Read full review
    Optimizely
    Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Optimizely
    It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it
    Incentivized
    Read full review
    Alternatives Considered
    Google
    Google Optimize being part of the Google stack makes it great in reporting and analysis. Wish Google would add more features like dynamic tests, multi funnel tests, conversion calculator based on the total number of traffic of the page being tested instead of using the websites total traffic. Should integrate form analysis, heatmap, and page analytics.
    Incentivized
    Read full review
    Optimizely
    When Google Optimize goes off we searched for a tool where you can be sure to get a good GA4 implementation and easy to use for IT team and product team. Optimizely Feature Experimentation seems to have a good balance between pricing and capabilities. If you are searching for an experimentation tool and personalization all in one... then maybe these comparison change and Optimizely turns to expensive. In the same way... if you want a server side solution. For us, it will be a challenge in the following years
    Incentivized
    Read full review
    Scalability
    Google
    No answers on this topic
    Optimizely
    had troubles with performance for SSR and the React SDK
    Incentivized
    Read full review
    Return on Investment
    Google
    • We were able to increase our main KPI for conversions by almost 50% by testing button copy.
    • We were able to increase secondary KPIs for conversions by almost 30% by testing form design.
    Incentivized
    Read full review
    Optimizely
    • We have improved various metrics throughout the course of our experimentation program with Optimizely and therefore sharing numbers is tricky. Essentially we only implement versions of the product that perform the best in terms of CVR, revenue/visitor, ATV, average order value, average basket size and so forth dependent on the north star we are trying to move with each release.
    Incentivized
    Read full review
    ScreenShots

    Optimizely Feature Experimentation Screenshots

    Screenshot of Feature Flag Setup. Here users can run A/B and multi-armed bandit tests, as well as:

- Set up a single feature flag to test multiple variations and experiment types
- Enable targeted deliveries and rollouts for more precise experimentation
- Roll back changes quickly when needed to ensure experiment accuracy and reduce risks
- Increase testing flexibility with control over experiment types and delivery methodsScreenshot of Audience Setup. This is used to target specific user segments for personalized experiments, and:

- Create and customize audiences based on user attributes
- Refine audience segments to ensure the right users are included in tests
- Enhance experiment relevance by setting specific conditions for user groupsScreenshot of Experiment Results, supporting the analysis and optimization of experimentation outcomes. Viewers can also:

- examine detailed experiment results, including key metrics like conversion rates and statistical significance
- Compare variations side-by-side to identify winning treatments
- Use advanced filters to segment and drill down into specific audience or test dataScreenshot of A Program Overview. These offer insights into any experimentation program’s performance. It also offers:

- A comprehensive view of the entire experimentation program’s status and progress
- Monitoring for key performance metrics like test velocity, success rates, and overall impact
- Evaluation of the impact of experiments with easy-to-read visualizations and reporting tools
- Performance tracking of experiments over time to guide decision-making and optimize strategiesScreenshot of AI Variable Suggestions. These enhance experimentation with AI-driven insights, and can also help with:

- Generating multiple content variations with AI to speed up experiment design
- Improving test quality with content suggestions
- Increasing experimentation velocity and achieving better outcomes with AI-powered optimizationScreenshot of Schedule Changes, to streamline experimentation. Users can also:

- Set specific times to toggle flags or rules on/off, ensuring precise control
- Schedule traffic allocation percentages for smooth experiment rollouts
- Increase test velocity and confidence by automating progressive changes