Most tools require you to have a confidence threshold of 95% in order to declare a winner in an A/B test.
- 78%
- 85%
- 90%
- 95%
The correct answer is: 95%
Explanation: Statistical significance plays a pivotal role in A/B testing and is frequently misunderstood. In the marketing realm, statistical significance indicates that the results between tested variables, such as conversion rate and landing page type, are not random but have a mutual influence. Achieving statistically significant results is crucial as it ensures that marketing campaigns are cost-effective and yield the desired outcomes. Before launching campaigns, marketers typically conduct statistical significance tests to assess the success metrics of specific variables. While many tools set the bar at a 95% confidence threshold, some experiments might benefit from a slightly lower threshold, especially if the test doesn’t demand stringent criteria.
Source: HubSpot Lesson: Maximizing ROI With Marketing Attribution and Experimentation