Kameleoon vs. LaunchDarkly

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Kameleoon
Score 7.7 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
LaunchDarkly
Score 7.6 out of 10
N/A
LaunchDarkly provides a feature management platform that enables DevOps and Product teams to use feature flags at scale. This allows for greater collaboration among team members, and increased usability testing before full-scale feature deployment.
$12
per month per Service Connection per month, or $10 per 1k client-side MAU per mo
Pricing
KameleoonLaunchDarkly
Editions & Modules
No answers on this topic
Foundation
$12
per month per Service Connection per month, or $10 per 1k client-side MAU per mo
Enterprise
Custom
Guardian
Custom
Offerings
Pricing Offerings
KameleoonLaunchDarkly
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsConsulting services are priced on demand.Discount available on the Foundation plan for annual pricing.
More Pricing Information
Community Pulse
KameleoonLaunchDarkly
Features
KameleoonLaunchDarkly
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Kameleoon
4.6
Ratings
56% below category average
LaunchDarkly
-
Ratings
a/b experiment testing7.60 Ratings00 Ratings
Split URL testing7.80 Ratings00 Ratings
Multivariate testing7.60 Ratings00 Ratings
Multi-page/funnel testing4.60 Ratings00 Ratings
Cross-browser testing1.20 Ratings00 Ratings
Mobile app testing9.00 Ratings00 Ratings
Test significance3.50 Ratings00 Ratings
Visual / WYSIWYG editor3.40 Ratings00 Ratings
Advanced code editor4.30 Ratings00 Ratings
Preview mode3.90 Ratings00 Ratings
Test duration calculator2.20 Ratings00 Ratings
Experiment scheduler5.40 Ratings00 Ratings
Experiment workflow and approval2.30 Ratings00 Ratings
Dynamic experiment activation4.60 Ratings00 Ratings
Client-side tests1.40 Ratings00 Ratings
Server-side tests8.90 Ratings00 Ratings
Mutually exclusive tests1.20 Ratings00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Kameleoon
5.5
Ratings
43% below category average
LaunchDarkly
-
Ratings
Standard visitor segmentation4.70 Ratings00 Ratings
Behavioral visitor segmentation3.50 Ratings00 Ratings
Traffic allocation control5.10 Ratings00 Ratings
Website personalization9.00 Ratings00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Kameleoon
3.3
Ratings
87% below category average
LaunchDarkly
-
Ratings
Conversion tracking4.30 Ratings00 Ratings
Goal tracking4.30 Ratings00 Ratings
Test reporting4.20 Ratings00 Ratings
Results segmentation4.20 Ratings00 Ratings
CSV export1.20 Ratings00 Ratings
Experiments results dashboard1.50 Ratings00 Ratings
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KameleoonLaunchDarkly
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Score 9.9 out of 10
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Score 8.7 out of 10
Medium-sized Companies
Dynamic Yield
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Score 8.3 out of 10
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Score 8.7 out of 10
Enterprises
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Score 8.3 out of 10
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Score 8.7 out of 10
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User Ratings
KameleoonLaunchDarkly
Likelihood to Recommend
7.7
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
7.0
(0 ratings)
Usability
10.0
(0 ratings)
7.4
(0 ratings)
Availability
-
(0 ratings)
10.0
(0 ratings)
Performance
-
(0 ratings)
8.1
(0 ratings)
Support Rating
8.9
(0 ratings)
10.0
(0 ratings)
Implementation Rating
-
(0 ratings)
9.0
(0 ratings)
Configurability
-
(0 ratings)
8.0
(0 ratings)
Ease of integration
-
(0 ratings)
8.0
(0 ratings)
Product Scalability
-
(0 ratings)
10.0
(0 ratings)
Vendor post-sale
-
(0 ratings)
8.0
(0 ratings)
Vendor pre-sale
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
KameleoonLaunchDarkly
Likelihood to Recommend
  • We can easily create A/B tests and personalizations to target specific audiences and improve the customer journey
  • The widget editor is intuitive and very easy to use, a lot of features are available without any code
  • The result analysis dashboard is easy to read and understand : we have very detailed data to analyze the performance of our experiments, even on pages with low traffic thanks to the CUPED algorithm.
  • We strongly recommend Kameleoon !
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Great for rolling out features slowly for beta testing in production. I would say it is less well suited for toggling features permanently for users as this requires more integration with our backend and billing systems that would be a lot of work to set up.
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Pros
  • The segment builder is incredibly intuitive and easy to use. Works wonderfully with Mixpanel. Our team managed to set up our segments and experiments within a couple of hours.
  • Great customer service and willingness to help with any of our questions.
  • Very secure testing environment for our A/B testing experiments. We had a staging environment easily set up for review and testing before live deployment. We needed a HIPAA compliant solution, and Kameleoon delivers.
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  • Feature Flag Management: It's like magic. With a flip of a switch, you can manage feature rollouts to visitors or accounts across the web and mobile applications!
  • Segmentation: Create a segment of visitors or accounts and then use that to target a feature flag rule. Really easy to use and saves so much time.
  • Ease of Use: Seamless copy/paste functionality, really clear status indicators so you can find what is on and for whom.
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Cons
  • 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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  • It would be nice to see a feature flag's settings against all environments at once.
  • It would be to have a "array" type flag for related but different settings (eg, enableA and enableB could be enable: [a, b]).
  • It would be nice have customizable columns on the Users page (eg, if I want to inject a new meta data).
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Likelihood to Renew
already renewed :)
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It fits out business case
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Usability
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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It's very easy to create new feature flags and set them properly. It is more difficult to get LaunchDarkly integrated within a distributed system so that flags can be used. Especially on stateless servers where gating features by user is not easy. Overall though, it is very easy to get started and I like how simple it is to use.
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Reliability and Availability
No answers on this topic
No issue with availability at all
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Performance
No answers on this topic
From what I have seen, LaunchDarkly integrates well with your code and also services you might have in your tech ecosystem. We use Jenkins for automation and we were able to use it to build pipelines to automate the control of LaunchDarkly toggles in our code.
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Support Rating
Our Kameleoon team is also very dedicated to us. We have weekly meetings to review our project roadmap and the results of our ongoing campaigns. Kameleoon’s team is very supportive and ambitious for every project. The responsiveness of the teams is also very helpful and reassuring when there are up and downs (as happens in every relationship).
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The overall support is very responsive
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Implementation Rating
No answers on this topic
Yes I do.
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Alternatives Considered
The agency that helped create our new Headless website recommended Kameleoon and Growth book on top of the stalwart Optimizely. Our final round of POC was between Optimizely and Kameleoon, and the thing that pushed Kameleoon ahead was the size of their snippet and how easy it was to set up the Segment integration out of the box to do what we needed it to do. Although Kameleoon is relatively "new" to the North American market, they have continued to perform above and beyond our expectations.
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Rollout is another dedicated feature flag tool that can be used to manage features. LaunchDarkley offers all the features of an enterprise level tool, unlike Rollout, reserves the security features for the Enterprise plan. Out of box integrations are limited but they do have a well documented REST API.
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Scalability
No answers on this topic
The platform didn't go down since we implemented it
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Return on Investment
  • The platform allows us to test and learn different functionalities.
  • We run multiple feature experiments at different levels of the customer journey (search, login, and checkout) to improve efficiency and our conversion rate.
  • We are also able to boost our fidelity program to the right audience thanks to AI.
  • And obviously, optimize the user experience continuously.
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  • Improved developer experience with some teams moving to Trunk-based Development.
  • Increased deployment frequency due to smaller code releases.
  • Validation of the technical and business value of work is achieved more quickly through smaller pieces of work and through experimenting with a small group of users before a feature gets to 100% of customers.
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ScreenShots

LaunchDarkly Screenshots

Screenshot of regression detection and automated incident response at the feature level. This connects critical metrics to the release process so that every change is monitored - even the smallest releases, where issues would previously have been obscured by noise in the wider system metrics.Screenshot of where track the progression of a feature flag across a series of phases, where each phase consists of one or more environments.Screenshot of how to target groups of contexts individually or by attribute. Contexts are people, services, machines, or other resources that encounter feature flags in a product.Screenshot of where to design experiments that measure business-critical user flows and provide results specific to those product funnels, and measure multi-step user journeys. This is used to determine whether conversions are succeeding, with all metrics visible in one place.