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VWO - A B Testing
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VWO

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description VWO Overview

VWO is a comprehensive experimentation platform that offers both A/B testing and multivariate testing. It stands out by providing a full suite of CRO tools, including heatmaps and session recordings, all within one dashboard. This makes it an excellent choice for teams who want to see the 'why' behind the data alongside the 'what' of the test results.

insights Ranking position

VWO ranks #5 of 19 in the A B Testing ranking, behind Statsig, ahead of Adobe Target.

balance VWO Pros & Cons

thumb_up Pros
  • check Broad experimentation toolset
  • check Strong visual editor
  • check Detailed audience targeting
  • check Useful analytics integrations
thumb_down Cons
  • close Steep learning curve
  • close Higher-tier pricing
  • close Occasional editor glitches

help VWO FAQ

Does VWO offer a free plan for small websites?

Yes, VWO offers a Starter plan that is completely free for up to 50,000 monthly tested users. This plan includes A/B testing, split URL testing, and basic mobile website testing capabilities.

How does VWO handle flashing of original content during an A/B test?

VWO mitigates the "flicker effect" (FOOC - Flash of Original Content) by utilizing a synchronous code snippet that hides the page content until the test variation loads. Users can further customize the timeout settings to ensure visitors don't experience a blank page for too long.

Can VWO integrate with Google Analytics?

Yes, VWO integrates seamlessly with Google Analytics 4, allowing you to send your experiment data directly to your GA4 property. This enables you to analyze test variations alongside your standard website metrics in the Google interface.

What is the difference between VWO SmartStats and traditional statistics?

VWO uses a Bayesian statistical engine called SmartStats, which provides the probability of a variation beating the control and the expected loss if you choose it. Traditional Frequentist statistics, on the other hand, rely on p-values and require you to wait for a predetermined sample size before drawing conclusions.

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