Archive

Monthly Archives: November 2019

Actionable Rates of Action

A rate of action by itself doesn’t tell you if it is good or bad. Most rates of action are used in correlative data sets and lead to poor recommendations.

In this video, I will show you a common example of how rates of action are used improperly. We will also discuss the two things needed to make your rates of action actionable.

  1. Comparable data sets
  2. Causal data

Testing Theory is where professional testers turn to do better A/B testing and get more conversions.

Experience Optimization not CRO

True optimization experts understand this very important principle. We don’t optimize conversion rates and we aren’t A/B testing teams. We aren’t split testers who also run multivariate tests. We are experience optimizers.

Our true success as optimizers in the digital marketing industry is to realize that we are optimizing the visitor experience. We aren’t optimizing rates or running tests. If we aren’t improving the visitor experience we are potentially getting short term gains at the cost of long term profits.

In this video, you will learn several things to improve your testing efforts including:

  • The difference between experience optimization and conversion rate optimization
  • How you can have one without the other and one that does both
  • The key metrics you need to consider as you become experience optimizers

Testing Theory is where professional testers turn to do better A/B testing and get more conversions.

Combining Multiple Testing Strategies

The best conversion rate optimizers use multiple testing strategies to maximize the conversions and learnings with their split tests. In this video, I will show you a few of the strategies we employed to optimize our home page.

A/B Testing is a dynamic process and the strategic approaches used should be dynamic as well. Knowing what strategies to use at what time is essential to maximizing impact.

In this video, you will learn several things to improve your testing efforts including:

  • The baseline strategy
  • The existence testing strategy
  • Multivariate testing as a strategy
  • Isolation as a strategy
  • Iteration as a strategy

Testing Theory is where professional testers turn to do better A/B testing and get more conversions.

Case Study: Order Confirmation Page A/B Test

After a visitor has completed the main action you want them to take, what should you do with them at that point?

Once an order is complete you aren’t done with your visitors. They have a relationship with you and you have a relationship with them. Just because they have completed an order or signed up, that relationship still needs to be nurtured to encourage future opportunities.

This is a quick a/b testing case study of a test on the confirmation page. Our business question was about how much content we should show the visitor and what type of content would be most compelling to get a visitor to further engage.

In this video, you will learn several things to improve your testing efforts including:

  • How we created variations to offer different content
  • How we reduced some content to learn about the ideal amount of content
  • The things the test helped us learn and the gaps in our learning that needed follow up testing
  • A common principle that is applicable to most sites and businesses.

Testing Theory is where professional testers turn to do better A/B testing and get more conversions.

Get more information at  https://www.testingtheory.com

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