Comparison · Conversion

Best A/B testing tools for small sites

Six tools, honest pricing, and the traffic threshold below which testing isn't worth doing yet.

  • 6 tools compared
  • Real prices
  • Traffic threshold guide
Short answer

Best A/B testing tools for small sites: which one should you pick?

Six tools, honest pricing, and the traffic threshold below which testing isn't worth doing yet. Google Optimize successor: GA4 + Google Tag Manager is the pick for sites with very little budget willing to do manual setup at Free. We compare 6 options — Google Optimize successor: GA4 + Google Tag Manager, VWO, PostHog (experiments feature) and others — on price and who each one suits. Prices are list prices as of 2026; check the vendor page before buying.

Last updated 3 August 2026

Best A/B testing tools for small sites — prices and best fit
ToolBest forPrice
Google Optimize successor: GA4 + Google Tag ManagerSites with very little budget willing to do manual setupFree
VWOSmall teams wanting a proper visual editor and reportingFree up to 50 test visitors a month (Starter), paid from about $217 a month
PostHog (experiments feature)Startups already using PostHog for product analyticsFree tier included, usage-based pricing beyond that
ConvertPrivacy-conscious teams needing GDPR-friendly testingFrom about $99 a month
AB TastyMid-size teams wanting testing plus personalisationCustom pricing, typically starts in the low thousands per year
Unbounce (built-in split testing)Sites already using Unbounce for landing pagesFrom about $99 a month (included in Unbounce plans)

A/B testing needs enough traffic to reach statistical significance in a reasonable time, and most small sites simply don't have it — running a test on 200 monthly visitors will take months to tell you anything reliable. Before picking a tool, work out whether you should be testing at all yet, or just shipping your best guess and moving on.

If you do have the traffic (roughly a few thousand monthly visitors to the page in question), the tools below differ mainly in ease of setup without a developer, and whether they can test more than just button colours.

How we judged them

What matters when you're small.

Minimum viable traffic for the tool to be worth it

Below a few hundred conversions a month on the page you're testing, most tools will take too long to reach significance to be useful. Check the tool's own guidance on this.

Visual editor vs developer-required setup

Testing headline or layout changes shouldn't require an engineer each time. A visual editor is worth paying for if you're not shipping code yourself.

Statistical significance calculation built in

The tool should tell you when a result is significant, not just report raw conversion percentages that look different but aren't statistically meaningful yet.

Impact on page speed

Some testing scripts add noticeable load time, which can itself hurt conversion — check the tool's own performance benchmarks.

The picks

What each one is actually good at.

Google Optimize successor: GA4 + Google Tag Manager

Free

Best for: Sites with very little budget willing to do manual setup

Since Google Optimize shut down, there's no free direct replacement — but you can build basic split tests manually with GTM and measure in GA4. Fiddly and developer-time-heavy, but genuinely free.

VWO

Free up to 50 test visitors a month (Starter), paid from about $217 a month

Best for: Small teams wanting a proper visual editor and reporting

Solid visual editor and clear significance reporting. The free plan is really just for evaluation — expect to pay once you're testing seriously, and the price jump to paid plans is steep.

PostHog (experiments feature)

Free tier included, usage-based pricing beyond that

Best for: Startups already using PostHog for product analytics

If you already run PostHog for analytics or feature flags, the experiments feature is essentially free to try and avoids adding another vendor. Less polished visual editor than dedicated CRO tools.

Convert

From about $99 a month

Best for: Privacy-conscious teams needing GDPR-friendly testing

Strong on privacy compliance and doesn't rely on third-party cookies, which matters if you're marketing into the EU. Pricier per-visitor than VWO at small scale.

AB Tasty

Custom pricing, typically starts in the low thousands per year

Best for: Mid-size teams wanting testing plus personalisation

Capable and enterprise-friendly, but priced and built for a team well past 'small site' — skip until you have a dedicated CRO person or serious traffic.

Unbounce (built-in split testing)

From about $99 a month (included in Unbounce plans)

Best for: Sites already using Unbounce for landing pages

If you're already paying for Unbounce, its native A/B testing avoids adding a second tool. Not worth adopting for testing alone if you're not already a Unbounce customer.

Skip

What we'd leave alone.

  • Any dedicated testing tool if your page gets under 1,000 monthly visitors — you won't reach significance in a useful timeframe. Ship your best version and revisit testing once traffic grows.
  • Enterprise personalisation platforms (AB Tasty, Optimizely) before you have a CRO hire or agency running tests properly — the complexity outweighs the benefit at small scale.
  • Tools with no built-in significance calculator — eyeballing two percentages and picking a winner is how false positives happen.

Questions

Common questions.

How much traffic do I actually need to A/B test?

As a rough rule, a few hundred conversions per variant (not just visits) within a few weeks. Below that, tests either never reach significance or take so long the market has moved on by the time you get an answer.

What happened to Google Optimize?

Google shut it down in September 2023. There's no free direct successor — most small teams either move to a paid tool or build basic tests manually in GTM and GA4.

Should I test one element at a time or the whole page?

One element at a time (a headline, a CTA) if traffic is limited, since it's faster to reach significance. Full-page redesign tests need considerably more traffic to draw a reliable conclusion.

Can I run A/B tests without a developer?

Yes for simple copy and layout changes using a visual editor (VWO, Convert). Anything involving new functionality, not just visual changes, will still need engineering time.

What should I do instead of A/B testing if my traffic is too low?

Run five-second usability tests with real people (using a tool like Lyssna or even just calling users), or ship your best-informed guess and review qualitative feedback and drop-off in analytics instead.

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