Archive

Monthly Archives: September 2019
2

Multiple A/B Tests at Once

Have you wondered if you can run multiple A/B Tests at once? If you run more than one split test at once and do it correctly, running multiple tests can maximize your gains. If however, it is done incorrectly your testing program is put at risk.

This video will review the important considerations in making the decision to run multiple tests at once.

  • The strategy of running multiple tests at once
  • How location impacts the decision
  • How traffic levels impact the decision

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

Creating Buy-In to Test – 7 Strategies

Do you feel like the organization you work with isn’t doing as much testing as you could? Are you looking for strategies on how to create buy-in for your testing program? I will share with you 7 ways to get the buy-in you need to do more split testing.

These are strategies that I have employed to take businesses doing no testing to making testing essential to the roadmap and planning of the business.

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

  1. Partner
  2. Teaching and training about A/B Testing
  3. Proactive split testing plans
  4. Evangelizing data and results
  5. Identifying multiple angles, departments, and people
  6. Using all your resources and finding allies
  7. Having patience

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

Data Science and A/B Testing

What is data science? What makes a good data scientist? What does A/B Testing have to do with data science? What is the hierarchy of needs for data science? Learn the answers to all these questions and more as we take a look at how optimization and learning with data is best accomplished with experimentation.

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

  • What data science is
  • How A/B Testing fits into the data science hierarchy of needs
  • The relationship between machine learning & AI and A/B Testing
  • What makes a good data scientist

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

Essential Roles of the Cross-Functional Testing Team

In order to get more value by running more and better tests, you have to do more tests. To do more tests you have to create a cross-functional testing team. With the right roles represented a cross-functional testing team enables valuable testing.

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

  • The key roles that every successful cross-functional testing team has represented
  • What to do when you are missing critical roles
  • How to grow your team when you are short on necessary roles

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

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