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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

    Woopra

    Score3 out of 10
    Enterprise companies (1,001+ employees)
    Woopra provides real-time customer analytics. It begins by tracking users across digital touch points (website, mobile app, help desk, marketing automation, etc.) and building a comprehensive behavioral profile for each user. These Customer Profiles are Woopra's building blocks, which are used to generate custom analytics reports, funnel analytics, retention analytics, and more.

    $80

    per month

    Pricing
    Optimizely Feature ExperimentationWoopra
    Editions & Modules
    No answers on this topic
    Pro
    $999.00
    per month
    Offerings
    Pricing Offerings
    Optimizely Feature ExperimentationWoopra
    Free Trial
    NoYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    YesYes
    Entry-level Setup FeeRequiredOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Optimizely Feature ExperimentationWoopra
    Considered Both Products
    Optimizely
    No answer on this topic
    Woopra
    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 ExperimentationWoopra
    Small Businesses
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    Mixpanel
    Score8.3 out of 10
    Medium-sized Companies
    No answers on this topic
    Heap
    Score8.1 out of 10
    Enterprises
    No answers on this topic
    Gainsight PX
    Score7.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Optimizely Feature ExperimentationWoopra
    Likelihood to Recommend
    8.2
    (47 ratings)
    7.0
    (16 ratings)
    Likelihood to Renew
    4.5
    (2 ratings)
    9.0
    (7 ratings)
    Usability
    7.6
    (26 ratings)
    9.0
    (1 ratings)
    Support Rating
    3.6
    (1 ratings)
    10.0
    (1 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    10.0
    (1 ratings)
    Product Scalability
    5.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Optimizely Feature ExperimentationWoopra
    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
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    Woopra
    My rating of Woopra is the absolute best possible. I would recommend them to anyone looking for an analytics website that prefers a visual interface and a beautiful design. I have not encountered any problems using their app -- ZERO! Their integration with other marketing software, such as MailChimp, helps our company zero in on our marketing campaigns and gives us the information we need to make better choices. I LOVE Woopra and think they are the best out there! I have used other websites and there is no comparison!
    Incentivized
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    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
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    Woopra
    • Woopra tracks *individual users and customer accounts*. It cannot be understated how important this is. Google Analytics and other low cost solutions only sample users and provide aggregate data. For enterprise sales, this is critical. Likewise, for product managers trying to segment product usage by types of accounts, this is incredibly useful.
    • Woopra updates user analytics in real time. This is critical in a sales context as you want to be able to follow up quickly on opportunities. Likewise, it is useful for customer success as they can see usage in real time for an individual they are supporting.
    • Woopra has the most turnkey integrations of any web analytics solution on the market. By far the most useful are Marketo, SalesForce, and Slack, but there are several more we didn't tap into. While any solution worth its salt has an API, Woopra's integrations usually require a login and/or API key, and you are good to go. Here is the current list: https://www.woopra.com/appconnect/.
    • Woopra enables B2B product managers to track product and feature usage by revenue, not just clicks. Again, in a B2B context, this is critical, as there are high-value users and low-value users. Knowing the difference is critical.
    • Woopra's implementation is super simple. We were able to set it up with a couple of hours of one frontend developer and some help from our product intern.
    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
    Woopra
    • User explorer could get some upgrades. It has sometimes been difficult to filter some actions, or groups of actions or combine filters.
    • Can add more cards to the live dashboard.
    • More context data on the user, the device being used, etc.
    Incentivized
    Read full review
    Likelihood to Renew
    Optimizely
    Competitive landscape
    Incentivized
    Read full review
    Woopra
    We just really like the tool. There are lots of us using it internally... from Product, to marketing, to customer service, to optimization team, to traffic acquisition, to Executives. Really helps us answer questions about how well things are going, and what is not going well.
    Read full review
    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
    Woopra
    The UI and reports are great overall. Creating reports just requires a few too many screens and clicks. Also dashboard tiles can't be resized. Both of these are easy items that are being addressed
    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
    Woopra
    Team was always responsive and helpful with special use cases.
    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
    Woopra
    Compared to other products, the support was a small effort. We only had part time contributions from a product management intern and front end developer.
    Read full review
    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
    Woopra
    Woopra is much easier to setup and use than Google Analytics. I've spent hours trying to create custom reports in Google Analytics. Woopra does not take this much time to get solid reporting for our site. If you need something that tracks marketing efforts then Google Analytics will likely be a better fit.
    Incentivized
    Read full review
    Scalability
    Optimizely
    had troubles with performance for SSR and the React SDK
    Incentivized
    Read full review
    Woopra
    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
    Woopra
    • Really helped us begin to segment our users based on their engagement and retention.
    • Helped increase retention by about 1.5% after about 5 months of implementation (don't shoot the messenger if your team can't implement that quickly).
    • I felt like it had great potential to create a pipeline between sales and the CSM, but I had trouble getting the sales team to implement it properly as they had their noses deep in calls and emails (they struggle entering notes in SalesForces as well, so it's more a company specific problem).
    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

    Woopra Screenshots

    Product screenshotProduct screenshotScreenshot of People Profiles - Understand Individual Users from Every AngleScreenshot of Journey Analytics Reports - Uncover critical obstacles and opportunities at every point in the customer experience - from campaign conversions to product engagement.Screenshot of Trends Analytics Reports - Analyze the growth of any metric over time and uncover the hidden forces that drive performance.Screenshot of Retention Analytics Reports - Measure the engagement of features and actions over time to proactively reduce churn and identify the behaviors that drive success.