How to Perform A/B Testing?

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How to Perform A/B Testing?
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For the set goals achievement and successful A/B
testing fulfillment, first of all, one should get
acquainted with the peculiarities of such
checking type and the algorithm of its
performance.
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Algorithm of the A/B Tests Creation

1. Learning the website data.
2. Monitoring the users behavior.
3. Formulating the hypothesis.
4. Testing the hypothesis.
5. Analyzing the test data and formulating the
   conclusions.
6. Results reporting.

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For the website data analysis, one can use
diverse web analytics tools (Google Analytics) in
order to define the domain of problems in the
conversion funnel. For example, one may set pages
with the highest indicator of the so-called
unnecessary pageview - the user follows the add
link but does not perform any actions after and
immediately closes it.
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In order to analyze the users behavior, one may
also utilize such tools as Visitor Recordings,
Heatmaps, On-page Surveys, and others. They will
help to reveal what prevents the conversion
enhancing.
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What may be changed and how - these are
hypotheses.  For instance, will it be better to
move the star-shaped button from the very down
corner of the page? The page with displaced
button is developed and the previous one remains.
The analysis of conversion rate results is
conducted - this is exactly hypothesis testing
and processing the results.
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Further, the received and analyzed outcomes
should be handed over marketing department, IT,
and other specialists for the further work.
Also, user interface testing plays an important
role in this case.  But usability testing should
not be neglected. Thus, the conversion will grow
and the website will be more successful. Web app
testing requires the checking of a huge number of
system aspects stress checking, performance
control, load checking, functional testing, and
etc.
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Thank You for Your Attention