Best A/B Testing Software: 10 Experimentation Tools Compared by Price, Fit and Company Size
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A/B testing software splits your visitors between a control and one or more variants, measures a goal such as sign-ups or purchases, and tells you whether the difference is real or random noise. Teams use it to settle design and messaging debates with data. This guide ranks ten tools from the AB Testing Software category by listed starting price and explains how to match one to your traffic and budget.
Traffic is the first constraint. Low-traffic sites cannot detect small lifts, so they need bigger changes or a cheaper tool for qualitative research. If you want a head-to-head on three of the big names, read our Optimizely vs VWO vs AB Tasty comparison. Experiments that set cookies need a lawful basis under the GDPR, and variants must stay usable for everyone, as the W3C WCAG 2.2 guidelines describe. For a hands-on look at one platform, see VWO.
| Tool | Listed starting price | Target company size | SaaSPodium tagline |
|---|---|---|---|
| Crazy Egg | $29 | Small, Medium | Make your website better. Instantly. |
| Convert Experiences | $99 | Medium, Enterprise | A/B testing for data-driven agencies and experts. |
| Unbounce | $99 | Small, Medium | The AI-powered landing page builder. |
| VWO (Visual Website Optimizer) | $199 | Small, Medium, Enterprise | Experience optimization platform. |
| Omniconvert | $273 | Small, Medium | The eCommerce growth platform. |
| Kameleoon | $1,000 | Medium, Enterprise | Advanced A/B testing and personalization. |
| AB Tasty | $1,500 | Medium, Enterprise | Experience optimization and feature management. |
| Optimizely Web Experimentation | $3,000 | Medium, Enterprise | Unlock digital potential with A/B testing. |
| SiteSpect | $3,000 | Enterprise | The fastest A/B testing and personalization platform. |
| Adobe Target | $10,000 | Enterprise | Personalize every experience. |
How We Ranked These A/B Testing Tools
We listed every product in the SaaSPodium AB Testing Software category and sorted by listed starting price, lowest first. We used listing data only: tagline, brand, price, target company size and deployment. Ratings are not published for these tools yet, so none are shown or implied.
Price order is a shortlist aid, not a quality ranking. The cheapest tool is not the best choice if it lacks the targeting, statistics engine or integrations your program needs, so verify those on each vendor's site.
1. Crazy Egg
Crazy Egg has the lowest starting price in this group at $29. It is known for website behavior analysis, so it often serves as the entry point for teams that want to see how visitors behave before they run formal experiments.
- Positioning: "Make your website better. Instantly." is the vendor's listed tagline on its SaaSPodium profile.
- Pricing model: paid, from a listed $29. Traffic limits, billing period and modules differ by plan, so confirm current pricing as of October 2026.
- Deployment and fit: cloud, SaaS and web delivery, listed for small, medium organizations.
2. Convert Experiences
Convert Experiences starts at $99 and is positioned for data-driven agencies and experts. That wording suggests a tool built for practitioners who run many experiments for several clients at once.
- Positioning: "A/B testing for data-driven agencies and experts." is the vendor's listed tagline on its SaaSPodium profile.
- Pricing model: paid, from a listed $99. Traffic limits, billing period and modules differ by plan, so confirm current pricing as of October 2026.
- Deployment and fit: cloud, SaaS and web delivery, listed for medium, enterprise organizations.
3. Unbounce
Unbounce starts at $99 and is described as an AI-powered landing page builder. It fits teams whose main experiments happen on campaign landing pages rather than across a full product.
- Positioning: "The AI-powered landing page builder." is the vendor's listed tagline on its SaaSPodium profile.
- Pricing model: paid, from a listed $99. Traffic limits, billing period and modules differ by plan, so confirm current pricing as of October 2026.
- Deployment and fit: cloud, SaaS and web delivery, listed for small, medium organizations.
4. VWO (Visual Website Optimizer)
VWO starts at $199 and is listed for small, medium and enterprise teams, the widest range of company sizes in this group. It is positioned as an experience optimization platform.
- Positioning: "Experience optimization platform." is the vendor's listed tagline on its SaaSPodium profile.
- Pricing model: paid, from a listed $199. Traffic limits, billing period and modules differ by plan, so confirm current pricing as of October 2026.
- Deployment and fit: cloud, SaaS and web delivery, listed for small, medium, enterprise organizations.
5. Omniconvert
Omniconvert starts at $273 and calls itself the eCommerce growth platform. Online stores that want testing and conversion work in one place should include it on a shortlist and check store platform support.
- Positioning: "The eCommerce growth platform." is the vendor's listed tagline on its SaaSPodium profile.
- Pricing model: paid, from a listed $273. Traffic limits, billing period and modules differ by plan, so confirm current pricing as of October 2026.
- Deployment and fit: cloud, SaaS and web delivery, listed for small, medium organizations.
6. Kameleoon
Kameleoon starts at $1,000 and is described as advanced A/B testing and personalization. Mid-market and enterprise teams that want testing and personalization from one vendor should evaluate it against single-purpose tools.
- Positioning: "Advanced A/B testing and personalization." is the vendor's listed tagline on its SaaSPodium profile.
- Pricing model: paid, from a listed $1,000. Traffic limits, billing period and modules differ by plan, so confirm current pricing as of October 2026.
- Deployment and fit: cloud, SaaS and web delivery, listed for medium, enterprise organizations.
7. AB Tasty
AB Tasty starts at $1,500 and pairs experience optimization with feature management. That combination can help when marketing and product teams both run experiments and want to share one platform and one data set.
- Positioning: "Experience optimization and feature management." is the vendor's listed tagline on its SaaSPodium profile.
- Pricing model: paid, from a listed $1,500. Traffic limits, billing period and modules differ by plan, so confirm current pricing as of October 2026.
- Deployment and fit: cloud, SaaS and web delivery, listed for medium, enterprise organizations.
8. Optimizely Web Experimentation
Optimizely Web Experimentation starts at $3,000 and is aimed at medium and enterprise teams. It is one of the best-known names in experimentation, which matters when procurement wants a proven vendor.
- Positioning: "Unlock digital potential with A/B testing." is the vendor's listed tagline on its SaaSPodium profile.
- Pricing model: paid, from a listed $3,000. Traffic limits, billing period and modules differ by plan, so confirm current pricing as of October 2026.
- Deployment and fit: cloud, SaaS and web delivery, listed for medium, enterprise organizations.
9. SiteSpect
SiteSpect starts at $3,000 and is listed for enterprise teams only. Its tagline claims the fastest A/B testing and personalization platform, so ask for performance evidence during a proof of concept.
- Positioning: "The fastest A/B testing and personalization platform." is the vendor's listed tagline on its SaaSPodium profile.
- Pricing model: paid, from a listed $3,000. Traffic limits, billing period and modules differ by plan, so confirm current pricing as of October 2026.
- Deployment and fit: cloud, SaaS and web delivery, listed for enterprise organizations.
10. Adobe Target
Adobe Target has the highest starting price here at $10,000 and is listed for enterprise teams. It is positioned around personalizing every experience and suits organizations already invested in Adobe's marketing stack.
- Positioning: "Personalize every experience." is the vendor's listed tagline on its SaaSPodium profile.
- Pricing model: paid, from a listed $10,000. Traffic limits, billing period and modules differ by plan, so confirm current pricing as of October 2026.
- Deployment and fit: cloud, SaaS and web delivery, listed for enterprise organizations.
How to Size an A/B Test Before You Buy
Estimate the sample size per variant before choosing a plan, because traffic limits drive cost. A common rule of thumb for roughly 80% power at a 5% significance level is sixteen times the variance divided by the square of the lift you want to detect.
Here n is visitors per variant, p is your baseline conversion rate and δ is the absolute change you want to detect. With a 5% baseline and a one-point absolute lift (δ = 0.01), n is about 16 × 0.05 × 0.95 ÷ 0.0001, or roughly 7,600 visitors per variant. Use a proper calculator before launching, but this estimate shows why small sites struggle.
Lift calculation
Report lift together with a confidence interval, and avoid stopping a test early because a variant looks ahead.
Which Tool Fits Which Team
Match the tool to your program: low-cost behavior analysis for small sites, landing page testing for campaign teams, and full experimentation with personalization for enterprise programs with high traffic and several stakeholders.
- Small sites and stores: shortlist Crazy Egg, Omniconvert and Unbounce.
- Agencies and practitioners: review Convert Experiences and VWO.
- Enterprise programs: compare Optimizely, SiteSpect, Kameleoon and Adobe Target.
Frequently Asked Questions
How much does A/B testing software cost?
Listed starting prices in the SaaSPodium directory run from $29 for Crazy Egg to $10,000 for Adobe Target as of October 2026. Traffic limits and modules change the real cost, so request a quote based on your monthly visitors.
Which A/B testing tool is best for a small business?
Small businesses should start with Crazy Egg, Omniconvert or Unbounce, which are listed for small teams and start at $273 or less. Choose based on whether your tests happen on landing pages, product pages or across the full site, and check traffic caps before subscribing.
How long should an A/B test run?
Run it until you reach the planned sample size and at least one full business cycle, usually one to two weeks, so weekday and weekend behavior are both covered. Stopping early because a variant looks ahead inflates false positives.
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