Kameleoon vs. Optimizely Feature Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Kameleoon
Score 9.1 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 8.2 out of 10
N/A
Optimizely 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
KameleoonOptimizely Feature Experimentation
Editions & Modules
No answers on this topic
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
Considered Both Products
Kameleoon
Chose Kameleoon
Kameleoon offers a fair pricing which were below their competitors, and despite of offering "fair" price they are similar or even better than their large competitors (based on our evaluation) when it comes to their product offering, features and usability.

Kameleoon also offers …
Optimizely Feature Experimentation
Chose Optimizely Feature Experimentation
We have not used any other similar tools, we evaluated both Kameleoon and VWO. With the combination of price, features, and expandability, we moved forward with Optimizely Feature Experimentation.
Chose Optimizely Feature Experimentation
We selected Optimizely as it was easy to use/understand, had clearly defined SLAs for keeping the platform up and was regarded as resilient within the industry. We needed something at our point in our experimentation journey that could be used for Product testing at scale and …
Chose Optimizely Feature Experimentation
Optimizely offered both web experimentation (WSYWIG editor for nontechnical marketing folks) and Feature Experimentation. That made the decision easier to get max value across different stakeholder groups.
Features
KameleoonOptimizely Feature Experimentation
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Kameleoon
7.1
59 Ratings
16% below category average
Optimizely Feature Experimentation
-
Ratings
a/b experiment testing8.558 Ratings00 Ratings
Split URL testing8.142 Ratings00 Ratings
Multivariate testing7.948 Ratings00 Ratings
Multi-page/funnel testing8.243 Ratings00 Ratings
Cross-browser testing2.337 Ratings00 Ratings
Mobile app testing7.926 Ratings00 Ratings
Test significance7.952 Ratings00 Ratings
Visual / WYSIWYG editor6.451 Ratings00 Ratings
Advanced code editor7.648 Ratings00 Ratings
Preview mode7.356 Ratings00 Ratings
Test duration calculator6.823 Ratings00 Ratings
Experiment scheduler8.430 Ratings00 Ratings
Experiment workflow and approval7.734 Ratings00 Ratings
Dynamic experiment activation8.239 Ratings00 Ratings
Client-side tests8.044 Ratings00 Ratings
Server-side tests8.122 Ratings00 Ratings
Mutually exclusive tests2.130 Ratings00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Kameleoon
8.2
57 Ratings
6% below category average
Optimizely Feature Experimentation
-
Ratings
Standard visitor segmentation8.257 Ratings00 Ratings
Behavioral visitor segmentation6.751 Ratings00 Ratings
Traffic allocation control8.354 Ratings00 Ratings
Website personalization9.542 Ratings00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Kameleoon
7.8
58 Ratings
10% below category average
Optimizely Feature Experimentation
-
Ratings
Conversion tracking7.857 Ratings00 Ratings
Goal tracking8.158 Ratings00 Ratings
Test reporting8.157 Ratings00 Ratings
Results segmentation8.154 Ratings00 Ratings
CSV export6.838 Ratings00 Ratings
Experiments results dashboard7.951 Ratings00 Ratings
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KameleoonOptimizely Feature Experimentation
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Score 9.9 out of 10
GitLab
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Score 8.6 out of 10
Medium-sized Companies
Dynamic Yield
Dynamic Yield
Score 8.9 out of 10
GitLab
GitLab
Score 8.6 out of 10
Enterprises
Dynamic Yield
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Score 8.9 out of 10
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User Ratings
KameleoonOptimizely Feature Experimentation
Likelihood to Recommend
9.1
(86 ratings)
8.3
(48 ratings)
Likelihood to Renew
10.0
(1 ratings)
4.5
(2 ratings)
Usability
9.4
(17 ratings)
7.7
(27 ratings)
Support Rating
8.9
(13 ratings)
3.6
(1 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
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 -
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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
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.
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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
  • 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
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Likelihood to Renew
Kameleoon
already renewed :)
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Optimizely
Competitive landscape
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Usability
Kameleoon
Kameleoon offers one of the best UI's I've seen when I've compared it to 4 of the other big competitors in the landscape. They have some improvement areas when it comes to the UX - Which is easily solvable if/when prioritized. There's a little to much "clicking" and "new tabs" in my opinion
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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
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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
Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams
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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
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Alternatives Considered
Kameleoon
We were looking for a new tool after Google sunset their tool. We tested AB Tasty and Kameleoon. Our dev team was unhappy with the weight of the AB Tasty tag and I found the level of service with Kameleoon much higher.
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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
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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 a huge, noteworthy ROI case study of how we did a SaaS onboarding revamp early this year. Our A/B test on a guided setup flow improved activation rates by 20 percent, which translated to over $1.2m in retained ARR.
Read full review
ScreenShots

Optimizely Feature Experimentation Screenshots

Screenshot of Feature Flag Setup. Here users can run flexible 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