For most enterprises, Optimizely leads with comprehensive experimentation capabilities. VWO suits mid-market businesses seeking affordability and ease of use. Unbounce excels for marketers focused on landing page conversion optimisation without technical overhead.
The ranking, in detail
01

Enterprise-grade experimentation platform
Optimizely offers a comprehensive A/B testing and experimentation platform designed for large enterprises. It includes web experimentation, feature flagging, personalisation, and advanced analytics capabilities built for technical and non-technical users alike.
From CustomBest for Enterprise teams running complex, high-traffic experimentation programmes
95.0
02

All-in-one CRO platform with heatmaps and session replay
VWO provides a suite of conversion optimisation tools including A/B testing, split testing, multivariate testing, heatmaps, session recordings, and user feedback capabilities in a single platform.
From £25/monthBest for Mid-market SaaS and e-commerce teams balancing features with usability
92.7
03

AI-powered landing pages built to convert
Unbounce specialises in building and optimising landing pages with integrated A/B testing, dynamic text replacement, and conversion tracking designed for marketers.
From £80/monthBest for Marketing teams and SMEs needing fast, conversion-focused page building
90.3
04

Statistics-first A/B testing platform
Convert is a privacy-first A/B testing platform emphasising statistical accuracy and reliability. It offers clean experimentation tools with focus on data integrity and compliance.
From £480/monthBest for Data-focused teams that require bulletproof statistical methodology
88.0
05

A/B testing platform integrated with Google Analytics
Google Optimize integrates directly with Google Analytics and Google Tag Manager to provide free A/B testing, multivariate testing, and personalisation capabilities.
From Free (optional premium features)Best for Small to mid-market teams already using Google Analytics seeking cost-effective testing
85.7
06

Enterprise personalization and A/B testing platform
Kameleoon offers A/B testing, multivariate testing, and personalization with a focus on ease of use and real-time results. It includes advanced targeting and audience management capabilities.
From CustomBest for Enterprise organisations requiring both testing and personalization in one platform
83.3
07

Enterprise-class landing pages with personalisation
Instapage is a landing page platform with built-in A/B testing, dynamic personalisation, and collaboration tools. It emphasises post-click experience optimisation and lead generation.
From CustomBest for Enterprise and mid-market organisations running complex personalisation campaigns
81.0
08

European experimentation and personalisation suite
AB Tasty provides A/B testing, multivariate testing, and personalisation with a focus on customer experience. It includes audience management, feature flagging, and real-time analytics.
From CustomBest for European enterprises needing GDPR-compliant experimentation
78.7
09

Simple, quick landing pages for lead generation
Leadpages is a landing page creation tool with integrated A/B testing, split testing, and lead capture capabilities. It's designed specifically for lead generation and conversion optimisation.
From £24/monthBest for Small businesses and solopreneurs building lead-generation funnels
76.3
10

All-in-one marketing platform with landing page builder
GetResponse combines email marketing, landing page builder, and webinar tools with integrated A/B testing capabilities. It's an all-in-one marketing platform suited for small businesses.
From £13/monthBest for Small to medium-sized teams needing integrated marketing automation
74.0
Frequently asked questions
What is the difference between A/B testing and multivariate testing?
A/B testing compares two variations (A and B) of a single element to determine which performs better. Multivariate testing simultaneously tests multiple elements and their combinations to identify the optimal combination of changes. Multivariate testing is more complex but can yield more comprehensive insights when testing multiple factors.
How long should I run an A/B test before drawing conclusions?
Tests should run long enough to reach statistical significance (typically 95% confidence level) and account for daily/weekly variations in user behaviour. Most platforms recommend running tests for 1-2 weeks minimum, though this depends on traffic volume and effect size. Tools like Convert and Optimizely provide statistical calculators to determine required sample size.
Do I need technical skills to use A/B testing platforms?
No-code platforms like VWO, Unbounce, and Leadpages allow non-technical users to create tests through visual editors. However, some platforms like Optimizely offer advanced features requiring developer involvement for complex implementations. Most platforms sit somewhere in between, supporting both visual testing and custom code integration.