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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Sprig

    Score8.5 out of 10
    N/ASprig is an enterprise survey platform powered by AI agents—Design, Field, and Synthesize Agents—that automate study design, adaptive survey delivery, and analysis. Research teams use Sprig to run customer surveys, market research, experience measurement, journey research, concept testing, and strategic studies, gathering higher-quality data and transforming responses into defensible insights while maintaining enterprise-grade rigor, governance, and control.

    $0

    per month

    Pricing
    Optimizely Feature ExperimentationSprig
    Editions & Modules
    No answers on this topic
    Free
    $0
    per month
    Starter
    $175
    per month
    Enterprise
    Custom Pricing
    per year
    Offerings
    Pricing Offerings
    Optimizely Feature ExperimentationSprig
    Free Trial
    NoYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeRequiredNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Optimizely Feature ExperimentationSprig
    Considered Both Products
    Optimizely
    No answer on this topic
    Sprig
    No answer on this topic
    Key User Insights
    Would buy again
    89%
    Would buy again
    41 Answers
    No answers on this topic
    Delivers good value for the price
    97%
    Delivers good value for the price
    33 Answers
    No answers on this topic
    Happy with the feature set
    91%
    Happy with the feature set
    42 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    88%
    Lived up to sales and marketing promises
    21 Answers
    No answers on this topic
    Implementation went as expected
    80%
    Implementation went as expected
    28 Answers
    No answers on this topic
    Best Alternatives
    Optimizely Feature ExperimentationSprig
    Small Businesses
    No answers on this topic
    Jotform
    Score8.5 out of 10
    Medium-sized Companies
    No answers on this topic
    Qualaroo
    Score7 out of 10
    Enterprises
    No answers on this topic
    QuestionPro
    Score9.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Optimizely Feature ExperimentationSprig
    Likelihood to Recommend
    8.2
    (47 ratings)
    8.5
    (2 ratings)
    Likelihood to Renew
    4.5
    (2 ratings)
    -
    (0 ratings)
    Usability
    7.6
    (26 ratings)
    9.5
    (2 ratings)
    Support Rating
    3.6
    (1 ratings)
    8.6
    (2 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    5.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Optimizely Feature ExperimentationSprig
    Likelihood to Recommend
    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
    Sprig
    We help our digital team and seo team to optimize the website based on the data we get from the tool which ultimately results in better page views, time spent on a web page & low bounce rate
    Read full review
    Pros
    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
    Sprig
    • User Journeys.
    • User research.
    • Prototyping.
    • Unmoderated testing.
    Incentivized
    Read full review
    Cons
    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
    Sprig
    • Website optimization which helps us generate more leads
    • Increased sales due to tracking & detailed view of our customer journey
    • Reporting & analytics
    Read full review
    Likelihood to Renew
    Optimizely
    Competitive landscape
    Incentivized
    Read full review
    Sprig
    No answers on this topic
    Usability
    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
    Sprig
    Sprig is ideal for high-traffic websites. Few people (passively and actively) provide feedback when asked. Therefore, before you get this tool, you need to make sure you measure your website's traffic and decide if it's worth investing in it. This tool is recommended for any e-commerce site for post-purchase research after the purchase is complete.
    Incentivized
    Read full review
    Support Rating
    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
    Sprig
    I never have the problem with the support team. They solve my problems on time
    Read full review
    Implementation Rating
    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
    Sprig
    No answers on this topic
    Alternatives Considered
    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
    Sprig
    Sprig allows users to record video (either on their screen or their webcam) on their mobile devices. Once you have integrated it into your website, you can easily deploy any questionnaire on any page of your website.
    Incentivized
    Read full review
    Scalability
    Optimizely
    had troubles with performance for SSR and the React SDK
    Incentivized
    Read full review
    Sprig
    No answers on this topic
    Return on Investment
    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
    Sprig
    • It is good and does the work properly as promised
    • User interface is modern
    • No lag and frequent maintenance updates
    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

    Sprig Screenshots

    Screenshot of Sprig Research Agents: Design, Field, and SynthesizeScreenshot of Introducing Sprig MCP