Kameleoon vs. Optimizely Feature Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Kameleoon
Score 7.8 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 7.7 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
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
Top Pros
Top Cons
Features
KameleoonOptimizely Feature Experimentation
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Kameleoon
6.0
47 Ratings
32% below category average
Optimizely Feature Experimentation
-
Ratings
a/b experiment testing7.646 Ratings00 Ratings
Split URL testing7.731 Ratings00 Ratings
Multivariate testing7.439 Ratings00 Ratings
Multi-page/funnel testing6.432 Ratings00 Ratings
Cross-browser testing3.730 Ratings00 Ratings
Mobile app testing9.018 Ratings00 Ratings
Test significance5.440 Ratings00 Ratings
Visual / WYSIWYG editor4.840 Ratings00 Ratings
Advanced code editor6.339 Ratings00 Ratings
Preview mode6.044 Ratings00 Ratings
Test duration calculator3.718 Ratings00 Ratings
Experiment scheduler6.623 Ratings00 Ratings
Experiment workflow and approval5.029 Ratings00 Ratings
Dynamic experiment activation6.132 Ratings00 Ratings
Client-side tests4.435 Ratings00 Ratings
Server-side tests9.718 Ratings00 Ratings
Mutually exclusive tests2.623 Ratings00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Kameleoon
7.0
45 Ratings
21% below category average
Optimizely Feature Experimentation
-
Ratings
Standard visitor segmentation6.845 Ratings00 Ratings
Behavioral visitor segmentation5.441 Ratings00 Ratings
Traffic allocation control6.543 Ratings00 Ratings
Website personalization9.332 Ratings00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Kameleoon
5.4
46 Ratings
45% below category average
Optimizely Feature Experimentation
-
Ratings
Conversion tracking6.145 Ratings00 Ratings
Goal tracking6.146 Ratings00 Ratings
Test reporting6.145 Ratings00 Ratings
Results segmentation6.142 Ratings00 Ratings
CSV export3.528 Ratings00 Ratings
Experiments results dashboard4.741 Ratings00 Ratings
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KameleoonOptimizely Feature Experimentation
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Score 9.7 out of 10
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Score 8.6 out of 10
Medium-sized Companies
Dynamic Yield
Dynamic Yield
Score 8.7 out of 10
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Score 8.6 out of 10
Enterprises
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Score 8.7 out of 10
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User Ratings
KameleoonOptimizely Feature Experimentation
Likelihood to Recommend
7.8
(74 ratings)
7.8
(29 ratings)
Likelihood to Renew
-
(0 ratings)
4.6
(2 ratings)
Usability
10.0
(4 ratings)
7.4
(8 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
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
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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
  • Splitting feature flags from actual experiments is slightly clunky and can be done either as part of the same page or better still you can create a flag on the spot while starting an experiment and not always needing to start with a flag.
  • Recommending metrics to track based on description using AI
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Likelihood to Renew
Kameleoon
No answers on this topic
Optimizely
Competitive landscape
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Usability
Kameleoon
First of all, the Kameleeon support team response time is one or the quickest in the business, which helps you when you have any doubts about using the software. The software is straightforward to use, even if you have no experience building Tests before.
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Optimizely
I think setting up experiments is very straightforward. It's also very easy to get started on the code side. I think if someone was new to Optimizely Feature Experimentation there could be some confusion between a flag and an experiment. I still get confused sometimes by if I turned the right thing on or off.
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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
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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.
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Optimizely
We haven't evaluated other products. We have an in-house product that is missing a lot of features and is very behind from making the test process easier. Instead of evolving our in-house product with limited resources, we decided to go with Optimizely Feature Experimentation when we saw that other big organisations are partnering with you.
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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
  • Experimentation is key to figuring out the impact of changes made on-site.
  • Experimentation is very helpful with pricing tests and other backend tests.
  • Before running an experiment, many factors need to be evaluated, such as conflicting experiments, audience, user profile service, etc. This requires a considerable amount of time.
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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