A/B Testing Tools

Optimizely vs VWO

Compare Optimizely and VWO side-by-side. See feature differences and pricing in the A/B Testing Tools category.

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Pricing: Every plan is individually packaged and quoted by Optimizely. No public prices, no self-serve tier and no trial published as of September 2026.

Optimizely is an A/B testing and personalization platform for marketing and product teams, sold as individually quoted packages with no public price list.

18 /19 features Full profile

VWO

by Wingify

0.0 (0)

Pricing: No public prices: Growth, Pro and Enterprise on every part are quoted after a demo, checked September 2026. Free 30 day trial, no card.

VWO puts A/B and server-side testing, heatmaps and recordings, surveys, personalization and feature flags on one account, with every tier quoted after a demo.

18 /19 features Full profile

Feature Comparison

A/B Testing Tools features side-by-side

Feature	Optimizely 18/19 features	VWO 18/19 features
Visual variant editor A point-and-click editor that changes page elements for a variant without code.	Yes	Yes
Code-level variant editing Custom HTML, CSS and JavaScript per variant.	Yes	Yes
Split URL testing Sends traffic between separate URLs rather than editing one page.	Yes	Yes
Multivariate testing Tests combinations of several page elements at once.	Yes	Yes
Multi-page funnel experiments One experiment applied consistently across a sequence of pages.	Yes	Yes
Server-side experiment SDKs Backend SDKs for experiments in application code rather than in the browser.	Yes	Yes
Feature flags and rollouts Toggles features per audience and rolls them out gradually, with a kill switch.	Yes	Yes
Mobile app experiments iOS and Android SDKs for in-app experiments.	Yes	Yes
Bayesian statistics engine Reports the probability each variant is best rather than only a p-value.	Yes	Yes
Sequential testing Lets you stop an experiment early without inflating the false-positive rate.	Yes	Yes
Multi-armed bandit allocation Shifts traffic toward the winning variant automatically while the test runs.	Yes	Yes
Experiment audience targeting Runs an experiment only for visitors matching attributes, source or behavior.	Yes	Yes
Mutually exclusive experiment groups Keeps visitors out of experiments that would interfere with each other.	Yes	Yes
Guardrail metrics Secondary metrics that must not regress for a variant to win.	Yes	Yes
Revenue goals Tracks order value or revenue per visitor as an experiment metric.	Yes	Yes
Single-page app support Works with React, Vue and other single-page apps, with anti-flicker handling.	Yes	Yes
Experiment scheduling Starts and stops an experiment on a date and time.	Yes	Yes
GA4 and analytics integrations Sends variant assignments to Google Analytics 4 and other analytics tools.	No	Yes
Warehouse-native analysis Computes results on your own warehouse data rather than the vendor's copy.	Yes	No
Overall Rating	0.0 0 reviews	0.0 0 reviews