The right Kameleoon replacement depends on who runs your tests. If marketers change pages, look at lightweight website testing tools. If developers release features, look at flag-based and warehouse-based platforms. Either way, check how experiments are built and read, and how the testing script affects page speed, before you move a single live test.
Kameleoon pitches itself as one place to build, test and roll out experiments, with AI helping along the way. If you're looking elsewhere, the useful question isn't which tool has the longest feature list. It's who on your team will be running tests a few weeks from now, and how much setup they'll put up with. Below are seven A/B testing and experimentation tools, in no particular order, grouped by the job each one does best.
Two checks that matter more than the demo
Every testing tool shows a tidy results chart on its homepage. The things that decide whether a switch goes well are less glamorous. The first is how an experiment gets built and read. Can a marketer set up a variant in a visual editor, or does every test need a developer? When results come in, can the person who asked the question understand them without a statistics lesson?
The second is page speed. Many website testing tools load a script that changes the page in the visitor's browser, and a heavy script can slow things down or cause a flicker while the original version swaps for the variant. Ask each vendor how its script loads, then measure your key pages before and after with a speed tool you already trust. A test that slows down the page it's measuring can skew its own result.
Marketing site tests or product releases?
For marketers changing pages
Convert, Mida and Webtrends Optimize are built around the website itself: you change a headline, a layout or an offer and see which version gets more conversions. Crazy Egg comes at it from the other side, starting with heatmaps and recordings so you can see where visitors get stuck, then testing a fix.
For product and engineering teams
GrowthBook and Split sit closer to the code. Features ship behind flags, and the experiment measures what happens when a flag is switched on for some users. That suits teams who release often and want a safety net, but it means developers are involved from day one.
For online stores
Omniconvert has gone all in on ecommerce, describing itself as an AI growth engine for Shopify that finds opportunities and builds campaigns. It's a narrower fit, and it's a different way of working from classic page testing, so it only makes sense if Shopify is where you sell.
Seven testing tools side by side
| Tool | Approach | Good for |
|---|---|---|
| Convert | Website A/B testing | A/B tests and personalisation on marketing sites |
| Crazy Egg | Heatmaps plus testing | Seeing visitor behaviour before choosing what to test |
| GrowthBook | Open source experimentation | Product teams testing on data in their own warehouse |
| Mida | Lightweight website testing | Quick page tests without waiting on developers |
| Omniconvert | Ecommerce growth for Shopify | Online stores wanting AI-led campaign ideas |
| Split | Feature flags with impact data | Engineering teams releasing code behind flags |
| Webtrends Optimize | Testing and personalisation | Testing and personalisation in one platform |
The experimentation options, A to Z
Listed alphabetically and in no particular order. Each line reflects what the vendor says about its own product.
Convert
Best for: Marketers running split tests and personalisation on their own website, where the vendor puts advanced goal tracking and fast support front and centre.
Crazy Egg
Best for: Site owners who want heatmaps, recordings and surveys next to their A/B tests, so they can see where visitors struggle before changing anything.
GrowthBook
Best for: Product and data teams wanting experiments, feature flags and analytics running on their own data warehouse, with open source code they can inspect, per the vendor.
Mida
Best for: Small marketing teams after a light testing script, page personalisation and conversion tracking without developer help; a free plan is named on the vendor's site.
Omniconvert
Best for: Shopify merchants who want AI agents to find growth ideas and build campaigns, with the vendor saying it measures profit rather than ad return.
Split
Best for: Engineering teams that ship behind feature flags and want alerts showing whether each change is helping or hurting, which the vendor frames as safer releases.
Want AI doing the heavy lifting in your marketing?
I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.
Webtrends Optimize
Best for: Teams wanting A/B testing and personalisation in one place, where the vendor's pitch is a single platform with no restrictions on what you run.
My advice on moving your experiments
Don't move a test that's halfway through. Let running experiments finish where they are, note the results, and start fresh ones in the new tool, because a test split across two tools won't give you a clean answer. If your team is mostly marketers, shortlist two website testing tools and one heatmap-led option. If developers own releases, shortlist the flag-based platforms and ask how results connect to the data you already keep.
Whatever you pick, decide what a win looks like before the test starts, not after. This look at how conversion rates differ between two offer types shows how much the metric you choose changes the answer. And if testing involves several people, shared cloud collaboration tools stop test ideas and results sitting in one person's inbox.
A parallel run for your first month
- Write down every live test, its goal and the date it started, so nothing gets lost in the move.
- Install the new tool's script on a low-traffic page first and check page speed before and after.
- Rebuild one finished test in the new tool and confirm it tracks the same goal the same way.
- Ask whoever reads the results to talk you through a report, without help from the vendor.
- Only switch off the old script once every running test has finished and its results are saved.
Do you make A/B testing software? Tool makers can ask to be considered for a featured place on this list.
Want your tool on this list? Featured spots and reviews here are paid partnerships. Here's how to partner with me.
Frequently asked questions
What should I look for in a Kameleoon alternative?
Start with who'll run the tests. Marketers need a visual editor and clear reports, while developers need flags and a link to their own data. Then check how the testing script affects your page speed.
Do A/B testing tools slow down a website?
They can. Tools that change the page in the browser load a script, and a heavy one can delay the page or cause a flicker. Measure your key pages before and after you install any tool.
What's the difference between A/B testing and feature flags?
An A/B test compares two versions of a page or feature to see which performs better. A feature flag switches a feature on or off for chosen users, and many teams run experiments on top of flags.
Can I run A/B tests without a developer?
Often, yes. Several website testing tools offer visual editors so marketers can change text, images and layouts themselves. Bigger changes, or tests inside a product, usually still need a developer.
How long should an A/B test run?
Long enough to reach the sample your tool asks for, and over at least one full business cycle so weekday and weekend visitors are both counted. Stopping early because one version looks ahead is the most common mistake.
Do I need visitor consent to run tests on my site?
It depends on where you and your visitors are and on how the tool stores data. Requirements vary, so check your cookie banner set-up and your regulator's guidance before you go live.
