Kameleoon is an A/B testing and AI personalization platform with feature flags and mobile app SDKs, quoted by sales rather than sold on public plans.
Kameleoon is an experimentation and personalization platform for teams testing changes on a website, in a mobile app and in back-end code from one account. It sets out to close a common split, where A/B testing sits with marketing and feature rollout sits with engineering, by running both on the same data layer. Kameleoon, an independent company headquartered in Paris, makes it and gives it the company's name. Experimentation covers A/B and A/B/n tests, built either with Prompt-Based Experimentation, the AI builder Kameleoon shortens to PBX, or with custom JavaScript and CSS per variation. Feature Management toggles features behind flags, rolls them out progressively and rolls them back automatically when conditions are met. Mobile App Testing brings the same experiments into iOS, Android, Flutter and React Native apps. Product Reco and Merch handles recommendation algorithms, personalized site search and category page merchandising. AI Personalization builds real-time segments and delivers content variations, urgency messages and social proof. Underneath all of it sits a statistics engine offering Bayesian and frequentist models, CUPED, sequential testing and bandit allocation. It suits marketing, product and engineering teams that share one test roadmap and want one record of what shipped. Mid-market and enterprise companies are its natural buyers, since the mobile SDKs, the server-side SDKs and the warehouse connections matter at that size. Single-page app teams on React, Angular or Vue are served directly, with anti-flicker handling built in. Kameleoon is bought as one platform through its sales team, after a demo. A 30-day free trial of PBX is the way in, and everything beyond it is priced by quote. Teams use it to test a checkout change or release a feature to a slice of users. The same account ranks search results for a returning visitor and places recommended products inside an email. Variant assignments go to Google Analytics 4, and data syncs with Snowflake, BigQuery and Redshift. Engineering work connects through GitHub, GitLab, Jira, Slack, Datadog and Sentry, while customer data arrives from Salesforce, Segment, Mixpanel or Heap. Kameleoon sits beside a CDP and an analytics stack rather than replacing either, since it reports on experiments and personalizations instead of holding the customer record.
Pricing
View plans-
PBX free trial
Free
- 30 days of Prompt-Based Experimentation, the AI test builder
- Started from the platform page rather than a pricing page
- Kameleoon does not publish what the trial includes beyond PBX
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Custom quote
Custom pricing
- Quoted by Kameleoon sales after a demo, no public price list
- One contract covers Experimentation, Feature Management, Mobile App Testing, Product Reco and Merch and AI Personalization
- Buyers are routed to Contact us for pricing
- No published add-ons, seat prices, traffic bands or overage rules
Features
- Included: Visual variant editor
- Included: Code-level variant editing
- Included: Split URL testing
- Included: Multivariate testing
- Included: Multi-page funnel experiments
- Included: Server-side experiment SDKs
- Included: Feature flags and rollouts
- Included: Mobile app experiments
- Included: Bayesian statistics engine
- Included: Sequential testing
- Included: Multi-armed bandit allocation
- Included: Experiment audience targeting
- Included: Mutually exclusive experiment groups
- Not included: Guardrail metrics
- Included: Revenue goals
- Included: Single-page app support
- Included: Experiment scheduling
- Included: GA4 and analytics integrations
- Not included: Warehouse-native analysis
Additional Features
- Prompt-Based Experimentation AI test builder
- Built-in JavaScript and CSS variation editing
- Server-side experiment SDKs
- Front-end and in-app experiment SDKs
- Feature flags with progressive rollout
- Automatic rollback on set conditions
- iOS, Android, Flutter and React Native SDKs
- Bayesian and frequentist statistics engine
Best for
- Marketing, product and engineering teams sharing one test roadmap
- Enterprises testing web, mobile app and server-side code in one tool
- Product teams that need feature flags and experiments together
- E-commerce teams personalizing recommendations and site search
- Companies feeding segments from a CDP or a data warehouse
- Single-page app teams on React, Angular or Vue
- Buyers who want an EU-headquartered vendor
- Buyers comfortable with a sales-led purchase and no public price list
Use cases
- Running A/B and A/B/n tests on web pages
- Building a test variation from a written prompt
- Releasing a feature behind a flag to a share of users
- Rolling a release back automatically when conditions are met
- Testing screens inside an iOS or Android app
- Stopping a test early without inflating false positives
- Shifting traffic to the winning variation while a test runs
- Recommending products on a product or basket page
- Ranking site search results for each visitor
- Merchandising a category page by bestsellers and stock
- Adding recommended products to email campaigns
- Sending variant assignments to Google Analytics 4
- Serving personalized content to a headless front end
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