Beware the Best Practices
Most best practices aren’t actually best practices. In this video, we will discuss what a best practice is and I will show you examples of “best practices” that actually aren’t.
A best practices applies universally to different websites and different industries. Too many experts proclaim best practices that are actually test ideas. In this video I will help you learn how to identify split testing best practices.
In this video, you will learn several things to improve your testing efforts including:
- What a best practice is
- The three steps to identify best practices
- Examples from multiple websites of bad best practices
Testing Theory is where professional testers turn to do better A/B testing and get more conversions.
Speed vs. Control – Doing More or Isolating Changes
Every A/B test has a trade-off of doing something else. There are some testing scenarios where you should control fewer variables in order to gain more speed and go faster. The faster you go, the more you learn, and the more you impact your conversions.
In this video, you will learn several things to improve your testing efforts including:
- The trade-offs of speed vs control
- The two scenarios when you should sacrifice control for speed
- The principles you need to know to help you guide your decision of using more speed
Testing Theory is where professional testers turn to do better A/B testing and get more conversions.
Evaluating A/B Tests with the Efficiency Equation
If you want to run good split tests and get more wins with every test, the Efficiency Equation can guide your efforts. This simple equation can help you know which tests are efficient to run and which ones you should avoid. It can also help you know where you should focus your future efforts by doing post-test comparisons.
If you want more wins with your conversion rate optimization efforts, then this video is for you.
In this video, you will learn several things to improve your A/B testing including:
- What the Efficiency Equation is
- How to use the Efficiency Equation
- The value of pre-test analysis with the equation
- Doing post-test comparisons with the equation
- A real-life example of the Efficiency Equation
Testing Theory is where professional testers turn to do better A/B testing and get more conversions.
Guess Who A/B Testing Strategy
The strategy to win at the game of Guess Who is the same strategy that can help you win at A/B Testing. By employing the Guess Who Testing strategy you will be able to get more wins more often.
The strategy says that you should eliminate things that aren’t good, not by trying everything out, but by asking bigger broader questions first. If you get too specific too soon, you will fail at testing just like you will lose at the game.
In this video, you will learn several things to improve your testing efforts including:
- What the Guess Who testing strategy is
- How the Guess Who testing strategy works
- The benefits of using the Guess Who testing strategy
Testing Theory is where professional testers turn to do better A/B testing and get more conversions.