What is the goal of A/B Testing?

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In terms of data analytics and data science What is the goal of A/B Testing?
Aug 20, 2018 in Data Analytics by Anmol
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3 answers to this question.

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It is a statistical hypothesis testing for randomized experiment with two variables A and B.

The goal of A/B Testing is to identify any changes to the web page to maximize or increase the outcome of an interest.

An example for this could be identifying the click-through rate for a banner ad.

answered Aug 20, 2018 by Anmol
• 3,620 points
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Goals come from your business objectives, so as an example if you have to increase the sale of clothes in terms of objectives, it can be as −

  1. Clear product images.
  2. Increase site visit rates.
  3. Reduce shopping cart drop rate.

In it's most basic form an A/B test looks at a control (the A-side) against an experimental side (B-side) to see what performs betters.

answered Aug 21, 2018 by shams
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With A/B Testing you can see which versions of your content and UX design on your website attracts your target audience and facilitates them to take the actions you want them to take. A/B testing is one the most hyped tool for studying user experience and their behavior but unfortunately is also under utilized.

Test your hypothesis about how your website visitors react to different content or versions of the website and drive more conversions with absolutely low risks.
answered Sep 17, 2018 by zombie
• 3,690 points

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