What is the result of an A/B Test if there is not enough data to determine if there was a winning campaign or similar performance between the variables?

If an A/B test lacks sufficient data to identify a statistically significant winner or to confirm similar performance, the result is "inconclusive." This means the test did not yield a clear answer due to factors like low traffic, short duration, or minor differences that weren't large enough to be statistically distinguishable. "Retest" is an action taken after an inconclusive result, not the result itself. "Fail" implies the test itself was poorly executed or broke, which isn't necessarily the case. "Invalid" suggests a fundamental flaw in the test setup, which is different from simply not having enough data for a definitive conclusion.