The best A/B testing tool for a small business in 2026 is a free or low cost one: GrowthBook, PostHog or Statsig if you have a developer, Convert or Unbounce if you do not. Google retired its free tool, Google Optimize, on September 30, 2023, and Evan Miller’s sample size calculator shows why the tool matters less than your traffic: at a 10.2% baseline, detecting a 3 point lift needs 2,545 visitors per variation.
Does a small business need an A/B testing tool at all?
Usually no, not until a page gets enough visitors to produce a readable result. A tool cannot create statistical power. It only runs the split and does the math.
Evan Miller’s calculator is the standard check. On the day we checked it (October 9, 2026), its default example used a 10.2% baseline conversion rate and a 3 point absolute lift, and it returned 2,545 visitors per variation. That is about 5,090 visitors for one A/B test, and the example baseline is generous. Many small business pages convert at a few percent, and a smaller lift needs far more traffic because the required sample grows quickly as the effect shrinks.
Put your own baseline and smallest useful lift into the calculator. If the visitors needed per variation, times two, exceed what your page gets in a month or two, skip the formal test and spend on traffic first.
How we picked the tools and checked prices
We chose eight real tools that small teams actually evaluate: VWO (now sold by Wingify), Optimizely, Kameleoon, Convert, Unbounce, PostHog, Statsig and GrowthBook.
Every price below comes from the vendor’s own pricing or plans page, and we checked them on October 9, 2026. Where a vendor shows no price and routes you to a sales call, we say so instead of repeating a figure from a review site.
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Which A/B testing tools fit a small business budget?
Eight tools fit different buyers. The table puts the verified prices and a plain recommendation side by side.
| Tool | Entry price (vendor page, checked Oct 9, 2026) | Best for | Main limit |
|---|---|---|---|
| GrowthBook | Free Starter plan; Pro $40 per seat per month | Teams with a developer who want cheap, code based tests | Needs engineering help to set up |
| PostHog | 1M free feature flag requests a month, experiments billed with flags | Products already using PostHog analytics | Built for product teams, not marketing page edits |
| Statsig | Free Developer plan with 2M events; Pro $150 per month | Developer led teams that want rigorous stats | Metric lift stops computing above the free event cap |
| Convert | Growth $299 a month billed yearly, $399 monthly | Marketers who want a visual editor and support | Highest fixed price of the group at entry |
| Unbounce | Experiment plan $112 a month billed yearly, $149 monthly | Landing page testing without a developer | Tests landing pages, not your whole site or product |
| Kameleoon | Starter from $495 a month | Mid sized teams with a testing roadmap | Entry price is far above small business budgets |
| VWO (Wingify) | Custom, quote only | Teams wanting an all in one conversion suite | No public price, so no budgeting before a demo |
| Optimizely | Custom, quote only | Large enterprise programs | Sales led and built for enterprise scale |
1. GrowthBook: best free option if you have a developer
GrowthBook’s pricing page lists a free Starter plan for up to 3 users and 1 project, and a Pro plan at $40 per seat per month for up to 30 users and 3 projects. The page says all cloud plans and the self hosted open source plan include unlimited feature flags, experiments and traffic.
The reason to choose it is cost: you can run real experiments for nothing, and the open source version can sit on your own servers. The limit is setup. GrowthBook is a developer tool, so someone has to wire it into your site and your data source.
2. PostHog experiments: best if you already track product analytics
PostHog’s pricing page says it includes 1M feature flag requests each month for free, and that experiments are billed together with feature flags. The page does not list per request rates for the paid tier; it points to a pricing calculator, so we do not quote one.
Choose PostHog if you already use it for analytics and want testing in the same place. The limit is audience: it is built for product and engineering teams that test features, not for a marketer swapping a headline on a landing page.
3. Statsig: best for developer led teams that care about the statistics
Statsig’s pricing page lists a free Developer plan with 2M events a month and a Pro plan at $150 a month with 5M events included, then $0.05 per 1,000 events. Both include unlimited flag and config checks.
The reason to pick it is a serious experimentation engine at a low entry cost. The limit sits in the fine print: the page says Developer users who go past 2M events keep gate and config targeting, but Metric Lift computations stop. Also, a Pro subscription covers one project.
4. Convert: best for marketers who want a paid, supported tool
Convert’s pricing page lists Growth at $399 a month, or $299 a month billed yearly ($3,588 a year), with 100K tested users a month and 5 active projects. Pro is $599 a month, or $420 billed yearly, with 30 projects. Enterprise is price on request.
The reason to choose it is a clear plan structure aimed at marketing teams. The limit is the entry price. At $299 to $399 a month, Convert only pays off if a single win is worth thousands, and a site with a few thousand monthly visitors cannot feed it.
5. Unbounce: best for landing page tests without a developer
Unbounce’s pricing page lists Experiment at $112 a month billed yearly ($149 monthly), with unlimited A/B testing and up to 30K visitors a month, 3 users and 2 root domains. The Optimize plan is $187 a month billed yearly ($249 monthly) with up to 50K visitors, and it adds AI traffic optimization (Smart Traffic). Plans below Experiment, Starter at $22 yearly and Build at $74 yearly, do not list A/B testing.
Choose it if your tests live on landing pages for ads. The limit is scope. It is a landing page builder first, so it does not test your checkout, product or other site pages the way a dedicated tool does.
6. Kameleoon: best for a mid sized team with a testing roadmap
Kameleoon’s plans page lists a 30 day free trial (up to 3 experiments), a Starter plan from $495 a month with up to 10 experiments and 50,000 monthly tracked users, and a custom Enterprise plan. The page also says that on reaching 100% of tested traffic, experiments stop running.
The reason to choose it is that it is one of the few named platforms with a public starting price and a trial. The limit is cost: $495 a month is out of range for most small sites, and the hard stop at your traffic quota means a good month of traffic can pause your tests.
7. VWO (Wingify): best for an all in one conversion suite, if you can get a quote
VWO’s pricing page now redirects to Wingify, the company that also owns AB Tasty (the AB Tasty pricing URL redirects there too). The Wingify page lists Growth, Pro and Enterprise tiers, shows no prices, and says it offers “custom pricing tailored to your needs, based on factors like traffic volume.” It also lists a free 30 day trial with no credit card.
The reason to choose it is breadth: testing, behavior analytics and personalization in one suite. The limit is that you cannot budget from the page. For a small business that needs a number before a sales call, that is a real cost in time.
8. Optimizely: best for large programs, not small budgets
Optimizely’s pricing page says “Every Optimizely plan is individually packaged” and sends visitors to request a demo. It lists no prices.
Choose it if you run an enterprise program with many teams and need governance. The limit for a small business is plain: it is sales led, with no self serve entry plan on the page, so it is rarely the right first tool.
What about Google Optimize and built in platform tools?
Google’s support page states that Optimize and Optimize 360 were no longer available as of September 30, 2023. Older advice recommending it is out of date.
Platform native testing from Shopify or Webflow is not in the table because we did not verify it against their vendor pages. Check your platform’s documentation first.
How much traffic do you need before any tool works?
Enough that the result is not noise: use a sample size calculator before you start, not after. Evan Miller’s page explains the inputs. Minimum detectable effect is the smallest effect the test will catch a set percent of the time, and conversion rates inside the gray range around your baseline will not be distinguishable from it.
Compare that to the vendor caps above: Unbounce Experiment 30K visitors, Kameleoon Starter 50,000 tracked users, Convert Growth 100K a month. If your page gets 500 visitors a month, no tool rescues the math.
Three moves work better than a weak test on a thin page:
- Test bigger changes. A large redesign of an offer produces a larger lift, which needs a smaller sample than a button color.
- Test the highest traffic page first, such as the home page or your best paid landing page.
- Measure an action higher in the funnel, like clicks or form starts, which happen more often than purchases. The tradeoff is that it is a weaker signal of revenue.
Does A/B testing help you show up in AI search?
It can help you learn which page wording converts. It does not directly decide whether ChatGPT or Perplexity cites you, and we have not seen a controlled test showing that a conversion test changes AI citations. Our post on A/B testing for AI search covers how to run measurement for AI visibility without confusing the two.
If you are also choosing software to write and tune content, see best content optimization tools for 2026.
For brands that need real third party coverage to be mentioned in AI answers, testing a landing page will not substitute for earned mentions. Our services page explains how we approach that part of the problem.
Which tool should you pick?
Match the tool to your team and your traffic.
- No developer, ad driven landing pages: Unbounce Experiment, if you stay under its 30K visitor cap.
- Developer available, small budget: GrowthBook Starter, then Statsig Developer or PostHog.
- Marketing team with real traffic and budget: Convert, or request a VWO quote.
- Mid sized team with a roadmap: Kameleoon.
- Enterprise: Optimizely.
- Under a few thousand monthly visitors: no tool yet.
FAQ
What is the best free A/B testing tool for a small business?
GrowthBook and Statsig both list free plans on their pricing pages, and PostHog includes 1M free feature flag requests a month with experiments billed alongside flags. All three expect a developer to install them. If you have no developer, there is no strong free marketer friendly option now that Google Optimize is gone, so a low cost paid tool or a platform’s built in feature is the realistic path.
How much traffic do I need to run an A/B test?
It depends on your baseline conversion rate and the lift you want to detect. Evan Miller’s calculator example, a 10.2% baseline and a 3 point lift, needs 2,545 visitors per variation. Lower baselines and smaller lifts need much more. Enter your own numbers into a sample size calculator before you choose a tool, and skip testing if the required traffic exceeds what your page gets.
Did Google shut down Google Optimize?
Yes. Google’s support documentation says Optimize and Optimize 360 were no longer available as of September 30, 2023, and that experiments still running on that date ended. Firebase A/B Testing is separate: experiments started after October 23, 2023 do not rely on Optimize. Small businesses that used it now need a third party tool or a native feature.
Are VWO and Optimizely too expensive for a small business?
Neither lists a price on its own page. Wingify, which now runs the VWO pricing page, says pricing is custom and based on traffic, and Optimizely says every plan is individually packaged. Without a public number we cannot call them expensive, but sales led pricing usually signals an enterprise buyer. Ask for a quote early and compare it against Convert, Unbounce and Kameleoon.
Can I run A/B tests without a developer?
Yes, with a visual editor tool. Unbounce is built around landing pages you edit without code, and Convert and VWO position themselves for marketers. You may still need help installing the tracking snippet. Developer first tools such as GrowthBook, PostHog and Statsig assume engineering support from the start.
How long should an A/B test run?
Run it until you reach the sample size your calculator gave you, and cover at least one full business cycle, usually one or two full weeks, so weekday and weekend behavior both appear. Do not end the test the moment a variant looks ahead. Early peeking inflates false wins, and stopping early on a lucky streak is how small teams ship changes that do nothing.
The short version
Do not buy a tool before you check your traffic. Run your baseline through Evan Miller’s calculator, and if the visitor count is out of reach, spend the effort on bigger changes and more traffic instead. If the math works, the free developer tools cost the least, Unbounce and Convert cost the least in setup time, and VWO and Optimizely need a sales call before you know the price.
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