A/A testing is used to ensure that static data displays correctly by comparing two identical versions of a page and checking for discrepancies in conversion indicators. It serves to monitor initial conversion numbers, validate A/B testing results, and assess randomness in conversion metrics. The process involves creating two similar user groups and requires an analysis if performance indicators differ.

1. The Notion of
A/A Testing

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. Thank You for Your Attention