Make more money online with your online ventures
You will learn how to avoid the pitfalls and find smart ways to increase your online success. This course will show you how to win more and bigger wins.

ConversionXL (Ton Wesseling) – AB Testing Mastery

Make more money online with your online ventures

You will learn the tricks that work, the pitfalls you’ll encounter and many smart ways to increase your online experimentation’s value.

This course will help you get more wins, larger wins and more insights out of your experimentation efforts.

In just 8 sessions, you’ll learn how to

• Long-term impact optimization can lead to more wins.
• Calculate where and how to carry out experiments.
• Create hypothesis based upon data and psychology.
• Prioritize tests hypotheses, and experiments.
• Organize, design, start, stop, and finish experiments at the right moment.
• Take the time to learn from your experiments.
• Create a knowledge base based on user insights.
• Scale your digital experimentation efforts.

Here’s why most of your tests are flat (or losing)

With today’s tools, anyone can run A/B tests – but it’s not the tool that determines the outcome of the test. Your brain is the most powerful tool.

What you test and the appropriate treatments will determine the outcome of your experiments. People who fail to get uplifts from their tests are most likely doing something wrong. They’re either doing spaghetti testing (“maybe this will work!”Building tests based on gut feeling, or tinkering around with small details (button colors, font sizes), instead of solving problems.

This course teaches you how to test effectively so that you can win.

The “secret sauce” It’s all about identifying the most lucrative opportunities and then finding the best solutions. This is how you can get more wins and bigger wins. It’s also about statistics: knowing when you have a false negative on your hands, and when to stop the tests to begin with.

Sometimes it’s the post-You can use test analysis to gain the insights that you need in order to make a failing test successful. When crunching the data, you need to know what to search for.

This course is right for you if…

• You’re responsible (even partially) for the conversion rate of your digital channels.
• You’re part of a team that runs – or should be running – online experiments.
• At least 1,000 new conversions per month are coming in to your company or client.

This course is probably not for you if…

• A highly skilled statistician who knows all about Bayesian and frequentist statistics. False negatives can be a much bigger problem than false positivs.
• A part of the organization with the highest maturity in testing: Evidence-Based optimization is a core part of the company’s DNA.
• Working at a company (or for clients) with fewer than 1,000 conversions coming in per month (the first four lessons are still valuable, but the last four won’t apply to your situation).

Before you can take this course, here are some skills that you need.

• Digital analytics basics-How
• Basic user research skills
• Some experience with running online experiments (or you’re going to join a team soon that is doing this)

Concerning your instructor Ton Wesseling

Ton is a respected practitioner in the field of conversion optimization. He’s a sought-Digital optimization expert with over 20 years experience. Recognized worldwide as an influential thinker.

Online Dialogue was founded by him – one the world’s thought leaders in evidence-Based growth. He works with his team to help companies around the globe become data-savvy.-informed growth.

The complete course curriculum

Mastery of A/B Testing

Lesson 1

FACT & ACT process

Ton will share the true value of online experiments in this class.

Lesson 2

ROAR & testing bandwidth calculations

This class covers the areas where experiments can be conducted.

Lesson 3

Customer behavior study

This class covers everything from data to insights to setting hypotheses.-To continue running customer base studies.

Lesson 4

Prioritization

Ton shares his best practices in prioritizing hypotheses and experiments.

Lesson 5

Experiments with running

How do you design, build, measure, and set up your experiments? Ton answers these questions, including stopping rules.

Lesson 6

Experiment Results

Ton discusses the best methods to present and analyze experiment results.

Lesson 7

Your knowledge base

What types of insights should be collected? What are the best ways to optimize your optimization efforts?

Lesson 8

Comparing different tests

Ton discusses how to use each type of A/B testing.

Continue reading: http://archive.is/YBpyt