In your example, reaching the Goal is accounted for in both experiments, because of you don`t split traffic.
From Sitecore CDP documentation:
Why running multiple A/B Test can blur your test results?
There are some considerations to make before you endeavor running
multiple tests at the same time.
Standard wisdom is that running overlapping tests can cause issues
with interpretation of the results because of the chance of
cross-contamination (the effect of a site visitor seeing a variant
from Test A and that influencing the outcome of Test B and so on). The
likelihood of this being a practical issue very much depends on a) the
number of overlapping tests, b) the amount of traffic that are exposed
to the overlapping tests, and c) the nature of the overlap.
You need to provide you target different tests to different
buckets of visitors, then there is guaranteed to
be no overlap between tests.
I advise you to pay more attention to the hypothesis you want to confirm with your tests, and to set up experiments based on that. Apply the following when declaring a hypothesis:
- Avoid ambiguity in terms of cause and effect,
- Test only one change at a time,
- Estimate the desired effect.
P.S. If your main problem at this moment is low traffic (you can not afford to wait until statistical significance is reached and a winning variant is declared), you can setup optimized testing (multi-armed bandit algorithm). You can find more information in official documentation: https://doc.sitecore.com/personalize/en/users/sitecore-personalize/running-an-experiment-with-optimized-testing.html
