⚡ A/B Testing
A/B testing tools are software solutions that allow users to compare two or more versions of a webpage, application, or element to determine which performs better.
These tools measure user interactions and conversion rates, helping to optimize content and design for better results.
According to our data, A/B testing tools are used on 1.7% of all websites.
91.7% of these sites use only one A/B testing tool, 7.3% use two, and 1.1% use three or more of them.
⭐ Most Popular in 2026
The following chart shows the leading A/B testing tools in 2026, based on market share.
The most popular is VWO with a share of 18.9%, followed by
Crazy Egg with 13.1% and
OptinMonster with 10.1%.
VWO 18.9%
Crazy Egg 13.1%
OptinMonster 10.1%Optimizely 6.8%
PostHog 6.4%
Shogun 5.6%
Convert 4.1%
OptiMonk 3.7%
Zoho PageSense 3.7%
Roistat 3.6%Adobe Target 3.2%
AB Tasty 2.4%Intelligems 2.3%
Unbounce 2.3%
- Other 13.7%
You can also drill down by country:
🚀 Country Highlights
Here is a list of tools that are especially popular in certain countries.
Differences between global and country rankings are shown in parentheses.
Crazy Egg is #1 in the United States (-1)
OptiMonk is #1 in Hungary (-7)
Zoho PageSense is #1 in India (-8)
Roistat is #1 in Russia (-9)
AB Tasty is #1 in France (-11)Ptengine is #1 in Japan (-17)
Plerdy is #1 in Ukraine (-22)
OptinMonster is #2 in Italy (-1)Optimizely is #2 in Sweden (-2)
Convert is #2 in the Netherlands (-5)
✨ Best A/B Testing Tools
Below is a more detailed list of the top 25 of the 47 A/B testing tools we track, ranked by their market share.
👉 See Also
🗃️ About This Data
- We evaluate the popularity of technologies based on the number of websites where we detect their usage.
- Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
- This report is based on the analysis of 3,606,256 websites.
- We currently track the presence of 47 A/B testing tools across the web.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.
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A/B testing