In A/B testing, when it comes to statistical significance, what is the minimum confidence level HubSpot suggests?

Question: In A/B testing, when it comes to statistical significance, what is the minimum confidence level HubSpot suggests?

  • 12%
  • 38%
  • 51%
  • 95%

Explanation

A/B testing should use enough confidence to reduce the risk of choosing a winning version based on random variation. HubSpot recommends a 95% confidence level as the minimum threshold for statistical significance. This helps ensure the performance difference between versions is meaningful enough to guide future decisions. The result should still be interpreted alongside sample size, test duration, and the selected marketing email analytics metric.

Why the other options are incorrect

12% is incorrect because it is far too low to support a reliable test conclusion.

38% is incorrect because it does not provide enough confidence that the result is meaningful.

51% is incorrect because it is only slightly better than chance and does not meet HubSpot’s recommended threshold.

Source for verification

https://knowledge.hubspot.com/marketing-email/run-an-a-b-test-on-your-marketing-email

The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "HubSpot Email Marketing" page.

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