[VIDEO] 95% Statistical Significance and How to Learn from Tests that Don’t Reach It

[VIDEO] 95% Statistical Significance and How to Learn from Tests that Don’t Reach It

We all want to hit the mythical 95% statistical significance number.

It’s a guideline that has morphed into a hard, non-negotiable requirement for most testers.

While opinions abound and the debate is still raging, we are not concerned with busting the myth (or not) of 95% statistical significance.

What we are more concerned about is maximizing your learning from each and every experiment.

In this video, Justin Christianson, the author of the CRO best-seller Conversion Fanatic walks you through:

  • Concrete steps to take and tweaks to make if your tests are simply refusing to reach the 95% statistical confidence mark.
  • A couple of things you can look at to derive key insights from tests that haven’t hit the desired confidence level.

Each test is an investment of resources. Make the most of the numbers it pulls in.

99 Conversion Tips
Originally published March 28, 2019 - Updated April 18, 2019
Justin Christianson
Justin Christianson is the Founder of Conversion Fanatics and the best-selling author of Conversion Fanatic: How To Double Your Customers, Sales and Profits With A/B Testing. Justin looks at hundreds of tests in a month and leverages his decades of experience to boost conversions for all industries and across all funnels.
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