Omniconvert Alternatives (2026): 7 A/B Testing Tools

Are you running experiments, or are you running a growth engine? That's the question to answer before you leave Omniconvert, because the product has changed shape. Below are seven A/B testing and experimentation tools for marketing and product teams, in no particular order, grouped by the job each one does best and who it's for.

Omniconvert has become a Shopify growth engine

Omniconvert's own homepage now leads with Commander, which it describes as an AI growth engine for Shopify stores. Its pitch is a large crew of AI agents that find growth opportunities, build campaigns and measure profit rather than ad returns. That's a long way from the simple split testing many teams first signed up for.

If you're a Shopify store and you want that agent-led approach, it may still suit you. If you run another platform, or you simply want to test a headline, a layout or a checkout step and read the result clearly, you're shopping for something more focused. Either way, two things matter more than any feature list: how experiments are built and read, and what the tool does to your page speed.

How experiments get built and read

Some testing tools give marketers a visual editor, so you click on a page element, change it and launch a variant without touching code. Others expect developers to wrap changes in feature flags inside the product itself. Neither is better. The right one is the one that matches who ships changes on your team, and if you get that wrong, tests stop happening because the person who has to set them up never has the time.

Reading results is the other half. Ask where the numbers live. Some tools keep results in their own dashboard, while warehouse-native tools read straight from your data warehouse, so test results line up with the reports your finance and product teams already trust. Ask how each tool decides a test is finished, too, and whether it warns you when you peek too early.

Page speed is the trade-off nobody mentions

Most website testing tools work by loading a script that swaps content in the browser. Done badly, that can slow the page or make visitors see the original version flash before the variant appears. Ironically, that can hurt the very conversion rate you're trying to lift.

So before you sign anything, ask each vendor how its snippet loads, whether it runs on the server or in the browser, and what it does to stop flicker. Then run the same page through your own speed checks with and without the script installed. A few minutes of testing here can save months of muddy results.

Three jobs, three kinds of testing tool

Visual page testing for marketers

Convert, Mida, Kameleoon and Webtrends Optimize are built around testing and personalising web pages. They suit marketing and growth teams that want to run their own tests on landing pages, product pages and forms without queueing for a developer each time.

Feature flags and product experiments

GrowthBook and Split come at testing from the engineering side. Changes ship behind feature flags, and the experiment tells you whether a release made things better or worse. These are a strong match for product teams testing inside an app rather than on a marketing site.

Learning what to test first

Crazy Egg starts one step earlier, with heatmaps, recordings and surveys that show where visitors click, scroll and stall. If your problem is that you don't know what to test, this kind of tool helps you build a list before any experiment runs.

Seven testing tools side by side

Tool	What it does	Good for
Convert	Website A/B testing	A/B tests, personalisation and advanced goal tracking
Crazy Egg	Heatmaps plus testing	Seeing visitor behaviour before you run a test
GrowthBook	Warehouse-native experimentation	Tests and feature flags read from your own warehouse
Kameleoon	Experimentation platform	Building, testing and rolling out changes in one place
Mida	Lightweight A/B testing	Small teams testing pages without developer help
Split	Feature flags with impact data	Engineers checking whether each release helps or hurts
Webtrends Optimize	Testing and personalisation	A/B tests and personalisation on one platform

The full list, alphabetical

In no particular order, sorted A to Z. Each line reflects what the vendor says about its own product.

Convert

Best for: Marketing teams that want split testing, personalisation and advanced goals in one tool; the vendor also highlights fast support and month-to-month billing.

Crazy Egg

Best for: Site owners who want to see what visitors do first, with heatmaps, recordings and surveys sitting next to A/B testing, per the vendor.

GrowthBook

Best for: Product and data teams who want experiments, feature flags and product analytics on top of their own data warehouse; the vendor says it's open source.

Kameleoon

Best for: Teams running experiments from the first test through to the final release in one AI-assisted platform, which the vendor says keeps you in control.

Mida

Best for: Fast-moving marketing teams wanting light page tests, personalisation and conversion tracking without developers; a free plan is named on the vendor's site.

Split

Best for: Engineering teams that release behind feature flags and want alerts on whether each software change is making things better or worse, says the vendor.

Webtrends Optimize

Best for: Sites wanting A/B testing and personalisation together on one platform, which the vendor pitches as having no restrictions on what you can run.

My advice for teams moving their experiments

Start with who runs your tests. If it's marketers, shortlist the visual page testers and judge them on how fast a non-technical person can launch a clean variant. If it's developers, shortlist the feature flag tools and judge them on how easily results tie back to your own data. If nobody's sure what to test yet, spend a few weeks with a behaviour tool before you commit to an experiment platform.

Don't move everything at once. Finish any test that's running, export the results you want to keep, and launch your first experiment in the new tool on a page you know well. For a wider view of the category, see my guide to the best A/B testing tools, and if testing is part of a bigger push, my notes on how to improve your conversion rate are a good next read.

A switching checklist for speed and results

• Install each shortlisted script on a test page and compare load times with and without it.
• Check for flicker on a slow mobile connection, not just on your office broadband.
• Run one simple headline test and see how clearly the result is explained.
• Find out whether results can be sent to your own analytics or data warehouse.
• Confirm who on your team will build tests each week, and let that person choose.

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's the difference between A/B testing and personalisation?

A/B testing shows different versions of a page to different visitors and measures which does better. Personalisation shows a chosen version to a chosen group, such as returning visitors, without necessarily running a test.

Will an A/B testing tool slow down my website?

It can. Many tools load a script that changes the page in the browser. Ask how the script loads, check for flicker and compare page speed with and without it before you commit.

Do I need a developer to run A/B tests?

Not always. Visual editors let marketers change text, images and layouts themselves. Tests inside an app or on checkout logic usually need a developer and a feature flag tool.

How long should an A/B test run?

Long enough to reach the sample size your tool asks for, and ideally across full weeks so weekday and weekend visitors are both included. Stopping early is the most common way to get a misleading result.

What is a warehouse-native testing tool?

It reads experiment data straight from your own data warehouse instead of copying it into a separate dashboard, so test results match the rest of your reporting.

Can I keep my old test results when I switch?

Usually you can export them as reports or raw data. Save anything you'll want to refer back to before your old account closes, because new tools won't import past experiments.