The Notion of A/A Testing

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The Notion of A/A Testing
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A/A testing slightly reminds A/B checking when
two almost identical versions of the same page
are tested. The A/A testing aim is to check
whether the static data are displayed properly.
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With the help of A/A testing, the marketers
examine security and efficiency of the A/B
testing platform. At the end of checking, the
tool should generate a report in which there will
be no difference between the conversion
indicators  of the same page samples.
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• Why to Execute A/A Testing?
• For the conversion number monitoring (initial
  indicator) on the page where A/B testing will be
  performed.
• For re-testing the correctness of the A/B
  checking results.
• For defining the randomness in the conversion
  indicators.

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• How Are A/A Tests Fulfilled?
• Two groups of users are provided with absolutely
  identical web pages.
• The user experience of both of these groups will
  be also similar.
• It is expected that KPI (Key Performance
  Indicator) will also be the same for two groups.
• If the indicators do not match, then one should
  analyze the exact reasons for the
  contradictions.This may be an unequal number of
  users for each of the pages.

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Frequently, software product testing is more
complex process than it may seem at the first
sight. Many factors should be considered and
learned in order to gain successful product of
the high class in the end.
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Thank You for Your Attention