Question: Fill in the blank: Most tools require you have a confidence threshold of ————, in order to declare a winner in an A/B test.
- 78%
- 85%
- 90%
- 95%
Explanation
An A/B test needs enough confidence to show that one variation is likely performing better for a real reason. Statistical significance helps separate meaningful performance differences from random variation. A high confidence threshold reduces the risk of choosing a false winner. In HubSpot-style optimization, a winner should be selected only when the test result is reliable enough to support a change.
Why the other options are incorrect
78% is too low to support a reliable A/B testing decision.
85% still leaves too much uncertainty for declaring a winner.
90% is stronger, but it is below the commonly required confidence level.
Source for verification
https://knowledge.hubspot.com/marketing-email/create-and-run-an-a-b-test-in-a-marketing-email
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