A/B testing is no longer exclusively a tool for corporate marketers with budgets in the tens of thousands of dollars. Today, you can launch a split test on a WordPress site in 15 minutes without writing a single line of code.

The problem is that half of the plugins that made it into "best of" lists back in 2022 are either shut down, abandoned, or not actually A/B testing tools at all. Google Optimize sunset in September 2023, Simple Page Tester closed in 2021, A/B Testing for WordPress was removed from the directory due to a vulnerability, and Tweeker and Puchi turned into digital ghosts.

We manually checked every entry through the WordPress.org API in June 2026 and selected only those plugins that are actively maintained, compatible with WordPress 7.0, and solve the specific task of A/B testing. No dead listings and no unrelated tools masquerading as split test solutions.

💡 Quick overview:

• Choose a plugin for your use case: universal Nelio for full coverage, Split Hero for agencies, ABTestKit if you run WooCommerce
• Install the plugin and launch your first test on a single landing page, measure conversion for 7-14 days
• Analyze the result by statistical significance and implement the winning variant
• Scale tests to headlines, menus, products and widgets as you build experience

Comparison table: all 6 plugins in one view

1. Nelio A/B Testing, best universal A/B testing plugin for WordPress

Nelio A/B Testing remains the gold standard for native A/B testing in WordPress. As of June 2026, version 8.4.0, full compatibility with WordPress 7.0, 5000+ active installations and WordPress VIP Technology Partner status.

Nelio's main advantage is you never leave the WordPress admin. Creating a test looks like working with the regular editor: you choose a page, headline, widget or WooCommerce product, create variant B and launch. Results, conversion, confidence level, heatmaps are collected in the same dashboard. No external SaaS panels.

Since summer 2025 an AI assistant is built into the plugin: it scans site pages and suggests exactly what to test, from button color to landing page structure. This saves hours on coming up with hypotheses, especially if you're just getting started with CRO.

What you can test: pages, posts, headlines, menus, widgets, themes, CSS, WooCommerce products (titles, prices, images), synced patterns.

Pros:

• Full integration with WordPress, no external tools needed
• Heatmaps + scrollmaps + clickmaps out of the box
• Automatic application of winning variant
• AI suggestions for test hypotheses
• Compatible with Gutenberg, Elementor and popular caching plugins

Cons:

• Free tier limited to 500 tested page views per month
• No lifetime license, subscription only
• Learning curve for multivariate tests slightly steeper than competitors

🔗 Nelio A/B Testing on WordPress.org🔗 Nelio website, Pro plans

2. Split Hero, best for agencies and freelancers

Split Hero is designed not for a single site, but for a client pipeline. If you're an agency or freelancer with a dozen projects, this is your tool.

Instead of cluttered settings, Split Hero gives you exactly what you need to launch a test: choose up to four page variants, specify the conversion page (for example, a thank-you page after form submission) and launch. Guest access lets clients track results for a specific campaign without diving into technical details.

The service is compatible with any page builder, Gutenberg, Elementor, Beaver Builder, Divi. No traffic limits: the plan includes unlimited visitors and tests.

Pros:

• Unlimited visitors and tests on all plans
• Guest access for clients
• Works with any page builder
• Simple and clean interface with no barrier to entry

Cons:

• No free version, only a 14-day trial
• Only A/B tests (no multivariate)
• Less in-depth statistics compared to Nelio

🔗 Split Hero website

3. PageTest.ai, AI-driven A/B testing for beginners

The newest player in this roundup. PageTest.ai bets on artificial intelligence: the plugin doesn't just run tests, it analyzes visitor behavior and suggests which content is most likely to convert.

Unlike Nelio, where AI suggests hypotheses before launching a test, PageTest.ai manages the test in real time: it dynamically distributes traffic between variants, increasing the share of impressions for the more successful variant even before the test formally concludes. This shortens the "test-conclude-implement" cycle from weeks to days.

The plugin requires no code setup, just install, activate, and select a page to test. For beginners hearing the phrase "statistical significance" for the first time, this is the gentlest entry into A/B testing.

Pros:

• AI automatically manages traffic distribution between variants
• Minimal barrier to entry, launch a test in three clicks
• No external services or API keys required

Cons:

• 20+ active installations, very new product, few reviews
• No heatmaps or scroll analytics yet
• Free tier limited in functionality

🔗 PageTest.ai on WordPress.org

4. ABTestKit, A/B testing for WooCommerce with focus on revenue

While universal plugins measure clicks and conversions, ABTestKit counts money. This is the only tool in the roundup built exclusively for WooCommerce and showing metrics that matter to a store owner: revenue per visitor (RPV), revenue per conversion (RPC), predicted monthly uplift.

How it works: you create two variants of a product page (different prices, images, descriptions, layout), ABTestKit randomizes the display between visitors and in real time builds a graph showing which variant brings more revenue per visitor. Focus exclusively on money, not abstract "conversions."

The plugin was updated on June 15, 2026 (v1.4.3), compatible with WordPress 7.0 and does not depend on external SaaS platforms, data is processed on your server.

Pros:

• Revenue metrics, not just clicks
• Forecast of monthly revenue increase when scaling the winner
• Data never leaves your server
• 30-day free period

Cons:

• WooCommerce only, not suitable for content sites
• 10+ active installations, new product, community support still weak
• Only A/B tests of product pages

🔗 ABTestKit on WordPress.org

5. My WP A/B Testing, free and native for Gutenberg

The easiest entry into A/B testing among free solutions. My WP A/B Testing is a Gutenberg block: you insert it into a post or page, fill in variants A and B (any content, text, buttons, images, blocks) and specify the conversion goal.

The plugin is not overloaded with features: no heatmaps, multivariate modes or AI suggestions. But for a content manager who wants to test two call-to-action variants or compare conversion of two landing pages, this is enough. The source code is open, the plugin was updated in November 2025.

We recommend using it together with Reusable Block Extended, this allows you to create reusable test blocks and roll them out to multiple pages.

Pros:

• Completely free
• Works as a native Gutenberg block, no need to learn a new interface
• Open source, can be forked for your needs

Cons:

• Only one test type, A/B within a block
• No heatmaps or advanced statistics
• 200+ active installations, niche tool

🔗 My WP A/B Testing on WordPress.org

6. Variolab, A/B testing without data transfer to third parties

Variolab fills a specific but growing niche: A/B testing without external dependencies. All data is stored and processed on your server, not a single pixel goes to a third-party SaaS. For EU sites with strict GDPR requirements, this is a deciding factor.

The plugin uses honest 50/50 cookie split: a visitor gets variant A or B randomly, and that choice is saved in a cookie for the entire experiment. Results, conversions, lift, confidence interval, significance are displayed in the WordPress admin as a table with color-coded significance indicators. Updated on June 15, 2026, literally yesterday at the time of writing.

Pros:

• Zero dependency on third-party services, full GDPR compliance
• Transparent statistics with confidence interval and significance badges
• Support for AI-generated HTML landing pages for testing
• Free version with no time limits

Cons:

• Less than 10 active installations, very new, stability questionable
• No heatmaps or visual variant editor
• Only full pages, can't test a separate block or headline

🔗 Variolab on WordPress.org

⁉️🤔 Frequently asked questions

Is an A/B test needed on a site with less than 1000 visitors per month?

With traffic below 1000 unique visitors per month, statistical significance arrives too slowly, you risk waiting 2-3 months for a result, and during that time seasonality, competitor promotions and audience behavior will change. Instead of A/B tests on low traffic, use qualitative research: user surveys, session recordings (Hotjar, Microsoft Clarity), bounce analysis in Google Analytics. Turn on A/B testing when a page gets at least 2000 target visits per month.

How does an A/B test differ from a multivariate test (MVT)?

An A/B test compares two variants of one page or element (headline A versus headline B). A multivariate test simultaneously tests combinations of multiple elements, for example, headline + button color + hero section image. MVT requires significantly more traffic (minimum 5000-10000 visitors per combination), but gives insight into element interaction. For most WordPress sites, A/B tests are sufficient, MVT is supported only by Nelio and expensive enterprise platforms like Optimizely and VWO.

Can you run an A/B test for free on WordPress?

Yes. My WP A/B Testing, Variolab and PageTest.ai have completely free versions with functionality sufficient for basic testing. Nelio A/B Testing is free up to 500 test page views per month, at the start this is enough. The only fully paid participant in the roundup is Split Hero (from $49/month), but it's positioned as an agency tool.

Does A/B testing slow down site speed?

Native WordPress plugins (Nelio, Variolab, ABTestKit) have virtually no impact on speed: all logic executes on the server, and a minimal JavaScript snippet for randomization is sent to the client. SaaS solutions (Split Hero) add an external script, which can delay First Contentful Paint by 100-300 ms. In any case, the impact on speed is an order of magnitude lower than unoptimized images or cheap hosting.

What to do if a test shows no statistically significant result?

Lack of significance after 2-4 weeks of testing is not a failure, it's data. It tells you the difference between variants is negligible and the user doesn't care which design you choose. In this situation, implement the variant that's easier to maintain and shift resources to testing another element, for example, not button color but value proposition or page structure. The worst thing you can do is declare a "winner" with minimal advantage and confidence level below the statistical significance threshold.

What to install in 2026: final breakdown

Choosing an A/B testing plugin comes down to three variables: budget, site type and willingness to work with statistics.

If you're launching a split test on WordPress for the first time, start with Nelio A/B Testing. The free tier is enough to understand whether CRO works in your niche, and the interface is so native you won't notice the difference from the regular WordPress editor. When tests start bringing measurable results, scale to Pro.

Working with clients? Split Hero is designed exactly for agency workflow: unlimited tests, guest access, compatibility with any page builder. The 14-day trial is enough to launch the first campaign and show results to the client.

Online store on WooCommerce, definitely ABTestKit. This is the only plugin that counts revenue per visitor, not abstract "conversions." For a store with hundreds of orders per month, even a small RPV increase between product page variants translates into tangible annual revenue.

Privacy and independence from external services matter, choose Variolab. The plugin is young, but architecturally honest: all data on your server, clean 50/50 split, no external APIs.

Launch your first test today, in a month you'll have numbers, not guesses.