Did you know that there’s a perfect pricing plan formula? It’s rooted in consumer and marketing psychology. And, has been verified through research studies and A/B tests.Yet, this formula has not yet knowingly been stated — until now.
In this packed 24-minute interview, you’ll learn what the pricing plan formula is and how to apply to optimize your own marketing success.
You’ll get to test your knowledge with real-life A/B test case studies while you learn:
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Calculating the Minimum Detectable Effect (MDE) can feel like a hair-pulling, speculative exercise. Luckily, this step-by-step guide is here to show you exactly how to accurately calculate your MDE to yield powerful, trustworthy test results.
Low sample testing is problematic and can result in hugely mis-leading data where tests appear to be enormous winners but, in actuality, aren't. This article presents a practical 5-step approach to overcome the traps of low sample testing and arrive at valid, trustworthy results. What are the 5-steps? Find out here.
Understanding and calculating statistical significance is quite complex. Many experimenters don’t truly know what statistical significance is or how to derive a statistically significant test result. To properly call a winning (or losing) A/B test, it’s really important to clearly understand what a statistically significant result is and means. This article, written in plain English is here to set it all straight for you.