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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Monetate

    Score8.3 out of 10
    N/AMonetate (formerly Kibo Personalization, powered by Monetate and Certona) is an ecommerce personalization software for consumer-facing brands. Monetate enables brands to create individualized experiences for site visitors, with the goal of improving engagement and business performance. Founded in 2008, Monetate services Adidas, Lufthansa, Office Depot, Reebok, Wolseley, and other companies.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
    MonetateOptimizely Feature Experimentation
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    MonetateOptimizely Feature Experimentation
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    YesYes
    Entry-level Setup FeeOptionalRequired
    Additional Details——
    More Pricing Information
    Community Pulse
    MonetateOptimizely Feature Experimentation
    Considered Both Products
    Monetate
    Chose Monetate
    Not as advanced, and possibly not as bespoke in configuration. However as a designer these had a much more user friendly interface and easier to learn/master.
    Incentivized
    Optimizely
    Chose Optimizely Feature Experimentation
    In previous companies I've used Monetate which is a similar A/B testing kind of feature experimentation engine that is very similar from my memory, but again, back to the point of these new features of the analytics engine and Opal, it kind of cuts it above Monetate from my …
    Incentivized
    Key User Insights
    Would buy again
    82%
    Would buy again
    32 Answers
    89%
    Would buy again
    41 Answers
    Delivers good value for the price
    84%
    Delivers good value for the price
    26 Answers
    97%
    Delivers good value for the price
    33 Answers
    Happy with the feature set
    87%
    Happy with the feature set
    34 Answers
    91%
    Happy with the feature set
    42 Answers
    Lived up to sales and marketing promises
    75%
    Lived up to sales and marketing promises
    15 Answers
    88%
    Lived up to sales and marketing promises
    21 Answers
    Implementation went as expected
    72%
    Implementation went as expected
    18 Answers
    80%
    Implementation went as expected
    28 Answers
    Best Alternatives
    MonetateOptimizely Feature Experimentation
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    Dynamic Yield
    Score8.9 out of 10
    No answers on this topic
    Enterprises
    Dynamic Yield
    Score8.9 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MonetateOptimizely Feature Experimentation
    Likelihood to Recommend
    5.4
    (117 ratings)
    8.2
    (47 ratings)
    Likelihood to Renew
    8.2
    (24 ratings)
    4.5
    (2 ratings)
    Usability
    6.4
    (17 ratings)
    7.6
    (26 ratings)
    Availability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    10.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.0
    (16 ratings)
    3.6
    (1 ratings)
    In-Person Training
    10.0
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    9.1
    (4 ratings)
    10.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    Vendor post-sale
    5.8
    (15 ratings)
    -
    (0 ratings)
    User Testimonials
    MonetateOptimizely Feature Experimentation
    Likelihood to Recommend
    Monetate
    Monetate is a fully functional space to generate multiple marketing campaigns for your company on the web, many of the functions found in this program are a contribution to manage your content correctly and give it the space you are looking for, we We recommend it one hundred percent. We feel very comfortable with everything we have been able to achieve thanks to this program.
    Incentivized
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    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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    Pros
    Monetate
    • Audience segmentation is relatively painless. They provide a robust way to granularly target visitors by device type, location, weather, demographics, etc.
    • Our CSM has been very engaged and detailed in supporting our partnership. She provides very prompt responses and clearly works hard to push the Kibo team when possible.
    • The User Interface to develop new actions is not terrible.
    • Supports Single Sign On, which is the preferred method of managing users at my organization.
    Incentivized
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    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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    Cons
    Monetate
    • We'd like to be able to use the Monetate resources to help us set up tests that require web dev (to get it out of our backlog), but they also have wait times similar to our internal ones. I realize resources are hard to come by, but this is an area we'd love to be able to utilize more if the turnaround were quicker.
    • IE is always a problem. I know it's not Monetate-specific though, and many tools struggle with IE.
    • We have a large percentage of our users who use IE, and I'd like to provide more experiences in IE without and additional hassle.
    Incentivized
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    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
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    Likelihood to Renew
    Monetate
    I had never worked within a company that had a tool like this. It made my life as a designer and a creative manager much easier with it's easy to use interface and limitless possibilities in terms of creative. I would highly recommend taking Monetate for a test drive, you will not be disappointed.
    Read full review
    Optimizely
    Competitive landscape
    Incentivized
    Read full review
    Usability
    Monetate
    Part of what I love about Monetate is how intuitive the tool is. Very very easy to use - based on the basics - Who/What/When/Where concept. Anyone can jump right in and start using the tool. And very easy to copy campaigns and tweak to continue to build experiences. We recently added Monetate on mobile and similar experience - easy to jump back and forth between platforms. Also love the analytics dashboard...easily quantifiable and easy to get tidbits that are digestible for others not as familiar with tool.
    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
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    Support Rating
    Monetate
    Monetate support team meets with use weekly, answers emails daily and promptly. They are proactive about getting answers for us when we need it and offering suggestions based on observations they have or learnings they want to share from other partners. Monetate's support is top notch.
    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
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    Implementation Rating
    Monetate
    Monetate installs easily and sets up personalization with just a few clicks. We never used the recommendation engine but the multivariant testing was great.
    Incentivized
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    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
    Monetate
    At the time of selection, it was the best tool to fit our business needs. The day-to-day users were able to create some experiences on their own and did not require much oversight. We also had developer support built into our contract along with internal developer support so most experiences were achievable. We believed it was as good and in some ways better than the other comparable tools on the market.
    Incentivized
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    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
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    Scalability
    Monetate
    No answers on this topic
    Optimizely
    had troubles with performance for SSR and the React SDK
    Incentivized
    Read full review
    Return on Investment
    Monetate
    • We are really starting to understand our audience and what they prefer on our website. One example is on our product display pages, we learned that our visitors convert about 35% more when content is laid out in one fashion versus another. Another example is our promotional banners perform better when it takes up the width of the page versus the margins pulled in more.
    • At first, Monetate was a negative ROI - we were paying for a service we weren't getting, and not understanding the full power of the program. With the new optimization firm however, we are now really able to churn out more tests, have a clean and direct test plan, and finally seeing tangible results.
    • As an aside, Monetate has helped us just save time and money on creating our promotional banners now so we don't have to get with our development team each time we want to put one up. Even without running a test, it has let us add content to our site when we need to (as we already have the experiments set up as we need it to and we can quickly duplicate it) without our developers getting in there to make those short-lived changes.
    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
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    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