Kameleoon vs. Optimizely Feature Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Kameleoon
Score 9.5 out of 10
Enterprise companies (1,001+ employees)
Kameleoon boasts users among 500 corporate and enterprise companies across North America, Europe, and Asia Pacific to help brands deliver digital experiences and products to their customers. GDPR, CPPA, and HIPPA compliant, Kameleoon’s A/B testing, full stack, and AI-powered personalization solutions are designed to help marketers, product owners, and developers maximize customer engagement and conversion, across all channels.N/A
Optimizely Feature Experimentation
Score 7.6 out of 10
N/A
Optimizely Feature Experimentation combines experimentation, feature flagging and built for purpose collaboration features into one platform.N/A
Pricing
KameleoonOptimizely Feature Experimentation
Editions & Modules
Enterprise
Quote
Per Month [Unlimited Users]
No answers on this topic
Offerings
Pricing Offerings
KameleoonOptimizely Feature Experimentation
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeNo setup feeRequired
Additional DetailsConsulting services are priced on demand
More Pricing Information
Community Pulse
KameleoonOptimizely Feature Experimentation
Top Pros
Top Cons
Features
KameleoonOptimizely Feature Experimentation
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Kameleoon
9.3
45 Ratings
8% above category average
Optimizely Feature Experimentation
-
Ratings
a/b experiment testing9.644 Ratings00 Ratings
Split URL testing10.029 Ratings00 Ratings
Multivariate testing9.537 Ratings00 Ratings
Multi-page/funnel testing9.531 Ratings00 Ratings
Cross-browser testing10.029 Ratings00 Ratings
Mobile app testing9.018 Ratings00 Ratings
Test significance8.939 Ratings00 Ratings
Visual / WYSIWYG editor8.039 Ratings00 Ratings
Advanced code editor9.438 Ratings00 Ratings
Preview mode9.143 Ratings00 Ratings
Test duration calculator8.117 Ratings00 Ratings
Experiment scheduler9.022 Ratings00 Ratings
Experiment workflow and approval9.628 Ratings00 Ratings
Dynamic experiment activation9.431 Ratings00 Ratings
Client-side tests9.634 Ratings00 Ratings
Server-side tests9.818 Ratings00 Ratings
Mutually exclusive tests9.922 Ratings00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Kameleoon
9.3
44 Ratings
5% above category average
Optimizely Feature Experimentation
-
Ratings
Standard visitor segmentation9.844 Ratings00 Ratings
Behavioral visitor segmentation8.940 Ratings00 Ratings
Traffic allocation control9.242 Ratings00 Ratings
Website personalization9.332 Ratings00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Kameleoon
8.9
45 Ratings
4% above category average
Optimizely Feature Experimentation
-
Ratings
Conversion tracking8.844 Ratings00 Ratings
Goal tracking8.845 Ratings00 Ratings
Test reporting8.844 Ratings00 Ratings
Results segmentation8.841 Ratings00 Ratings
CSV export9.027 Ratings00 Ratings
Experiments results dashboard9.040 Ratings00 Ratings
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KameleoonOptimizely Feature Experimentation
Small Businesses
Convert Experiences
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Score 9.5 out of 10
Kameleoon
Kameleoon
Score 9.5 out of 10
Medium-sized Companies
Dynamic Yield
Dynamic Yield
Score 9.1 out of 10
Kameleoon
Kameleoon
Score 9.5 out of 10
Enterprises
Dynamic Yield
Dynamic Yield
Score 9.1 out of 10
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Score 9.5 out of 10
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User Ratings
KameleoonOptimizely Feature Experimentation
Likelihood to Recommend
9.5
(72 ratings)
7.4
(17 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(1 ratings)
Usability
8.0
(3 ratings)
9.0
(1 ratings)
Support Rating
8.9
(13 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
KameleoonOptimizely Feature Experimentation
Likelihood to Recommend
Kameleoon
There are many platforms to choose from when it comes to experimentation and personalization. We've found Kameleoon to be an excellent choice for those looking for a balance in capabilities (it checks all the boxes), cost-effectiveness, and a helpful customer success team paired with a responsive product team.
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Optimizely
To my experience, Optimizely should be used across all core software releases in platforms/apps and products that are customer facing regardless whether b2c or b2b. Even in cases of internal platforms with thousands of users, testing features or pre-releasing and monitoring functionality is key. Good to note that it is less appropriate in cases where minor releases, backend software improvements are referred to.
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Pros
Kameleoon
  • Widget editor (creating a widget without any code)
  • Results analysis dashboard (easy to read and understand)
  • The consulting team (always available to help and guide us - Thank you [C...] !!)
  • Segmentation (it allows us to easily target a specific audience)
  • The tool is very intuitive and easy to use
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Optimizely
  • Its ability to run A/B tests and multivariate experiments simultaneously allows us to identify the best-performing options quickly.
  • Optimizely blends into our analytics tools, giving us immediate feedback on how our experiments are performing. This tool helps us avoid interruptions. With this pairing, we can arrive at informed decisions quickly.
  • Additionally, feature toggles enable us to introduce new features or modifications to specific user groups, guaranteeing a smooth and controlled user experience. This tool helps us avoid interruptions.
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Cons
Kameleoon
  • Interface of the graphics editor is quite conceptual. It is fine after a few days but it takes a little while to recognize some icons.
  • Their online tutorial could also be easily improved.
  • If you want to do major graphical changes on your website, you will have to inject JS and CSS code which requires some technical background but I don’t know if that point can be improved.
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Optimizely
  • Running Experiments Exclusively with user profile service. If one experiment is already allocated with the user profile, another experiment in the exclusion group should not trigger the experiment.
  • Ability to reevaluate audience condition with user profile service, in case audience condition do not match remove override from user profile override. Differentiate between qe override and user profile override.
  • Ability to connect multiple IDs to achieve consistent experimentation across devices.
  • Any way to achieve optimizely web capability using Optimizely Feature Experimentation.
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Usability
Kameleoon
The Kameleoon platform allows us to carry out both simple and highly complex tests incredibly rapidly. With Kameleoon I can launch many impactful tests without needing to ask for help from our IT team.
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Optimizely
All features that we used were pretty clear. They have a good documentation
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Support Rating
Kameleoon
We have a very good relationship with our CSM and with Kameleoon’s technical team. We trust them fully to help us with the set-up of A/B tests and personalizations, analysis of results, and any technical matter that we may encounter. They always do their best to be as responsive as possible, and our communications are always very fluid.
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Optimizely
No answers on this topic
Implementation Rating
Kameleoon
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
Read full review
Alternatives Considered
Kameleoon
Kameleoon does not compare to others! If I chose this tool, it is above all because the speech made by the members of the company during their presentation was clear.
Real experts who had identified our challenges and our needs. They also came with relevant use cases and recommendations.
Read full review
Optimizely
Optimizely Feature Experimentation is better for building more complex experiments than Optimizely Web. However, Optimizely Web is much easier to kickstart your experimentation program with as the learning curve is much lower, and dedicated developer resources are not always necessary (marketers can build experiments quickly with Optimizely Web without developers' help).
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Scalability
Kameleoon
No answers on this topic
Optimizely
had troubles with performance for SSR and the React SDK
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Return on Investment
Kameleoon
  • Since we started using Kameleoon, our ROI indicators are all green. Truth is, we rely on exigent customers. If they’re not happy with our service, we will pay for it on the long term. Kameleoon helps us making sure this is not happening by providing us the tools to continuously improve our customers’ experiences.
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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.
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ScreenShots

Optimizely Feature Experimentation Screenshots

Screenshot of AI Variable suggestions: AI helps to develop higher quality experiments. Optimizely’s Opal suggests content variations in experiments, and helps to increase test velocity  and improve experiment qualityScreenshot of Integrations: display of the available integrations in-app.Screenshot of Reporting used to share insights, quantify experimentation program performance using KPIs like velocity and conclusive rate across experimentation projects, and to drill down into the charts and figures to see an aggregate list of experiments. Results can be exported into a CSV or Excel file, and KPIs can be segmented using project filters, experiment type filters, and date rangesScreenshot of Collaboration: Centralizes tracking tasks in the design, build, and launch of an experiment to ensure experiments are launched on time . Includes calendar, timeline, and board views in customizable views that can be saved to share with other stakeholdersScreenshot of Scheduling: Users can schedule a Flag or Rule to toggle on/off,  traffic allocation percentages, and achieve faster experimentation velocity and smoother progressive rolloutsScreenshot of Metrics filtering: Dynamic event properties to filter through events. Dynamic events provide better insights for experimenters who can explore metrics in depth for more impactful decisions