A/B Testing and Experimentation for Beginners from Udemy

Learn what A/B testing is and how you can use it to make data driven decision to help your marketing, conversion rate and and customer experience. The course will cover fundamentals of A/B testing, provide you the process that you can use to start A/B testing today, along with some examples to get your creative juice going.

The applications for A/B testing are various, some of them are

Product Changes - Web, Desktop, Mobile
Marketing Messages
Landing Page Optimization
Creative design
Call to actions
Funnel conversions
Search Marketing
Conversion Rate Optimization (CRO)
Growth hacking
Learn how to setup an A/B test in Google Optimize

All major organizations such as Facebook, Google, Amazon, Microsoft, Twitter, etc. spend millions of dollars on A/B Testing. Understand the fundamentals so you can learn and apply too.

I have worked several major organizations and helped them deliver better marketing, better conversion and better customer experience using the content I will deliver in this course.

Why you should learn from me?

I have been in Digital Marketing and Analytics for over 15 years. I have trained people from diverse backgrounds and have converted them into high performing Digital Marketers and Analysts. I understand both the technology and marketing side of business. I have dealt with many analytics technologies way before Google Tag manager existed and know the inner working of Digital Analytics.

I have extensively worked with companies like Microsoft, Starbucks, Wall Street Journal, ESPN, T-Mobile to name few and helped them with Data Driven Marketing Decisions.

In addition, I have developed various course and taught students from all over the world. I am online instructor for University of British Columbia (Canada), University of Washington (USA), Bellevue College (USA) and Digital Analytics Association.

I have an engineering degrees and an MBA.

What's inside

Learning objectives

A/b testing is and how to use it to make better websites, ads and apps
Understand how experimentation help them make better decisions and hence improve marketing and conversions
Understand how you can improve conversion rates with a/b testing

Landing page optimization using a/b testing
Conversion rate optimization using a/b testing
Optimize email marketing with a/b testing

A/b testing is and how to use it to make better websites, ads and apps
Understand how experimentation help them make better decisions and hence improve marketing and conversions
Understand how you can improve conversion rates with a/b testing
Landing page optimization using a/b testing
Conversion rate optimization using a/b testing
Optimize email marketing with a/b testing

Syllabus

Introduction

Learn the definition of A/B testing that is used for Marketing, Websites, Ads and Conversion rate optimization

This lecture will teach you the definition of A/B testing. It is critical to make sure you understand the fundamental.

Why Random selection?

What is A/A Test?

This lecture explains the basics of amount of traffic you need to run an A/B test.

Test Your Knowledge

Learn what are the various things other organization test so that you can get idea about what you can test.

A/B testing Ideas

You will learn how A/B testing process and how to start testing.

A/B Testing Process Overview

Finding Opportunities

What are Goals and Metrics?

Hypothesis and Opportunity Prioritization

Run and Analyze A/B Test

Learn Google Optimize Interface and how to setup A/B testing (experiments)

Setting up Google Optimize

In this lecture you will learn how to use Google Optimize to create and run your test.

Bonus Lecture

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores A/B testing, which is standard in digital marketing

Teaches A/B testing, which helps learners optimize websites, ads, and apps

Develops skills in A/B testing, which are core skills for digital marketers and analysts

Taught by Anil Batra, who is recognized for their work in digital marketing and analytics

Examines A/B testing, which is highly relevant to digital marketing and conversion rate optimization

Teaches learners how to set up A/B tests in Google Optimize, which is a popular tool for this purpose

Reviews summary

Positive review of a/b testing course

According to students, "A/B Testing and Experimentation for Beginners" is a well-received course with very clear lectures on A/B testing. Students gave it a 5-star rating.

Students commend the clarity of the lectures.

"Very clear lecture on A/B testing."

Career center

Learners who complete A/B Testing and Experimentation for Beginners will develop knowledge and skills that may be useful to these careers:

Growth Hacker

Growth Hackers use A/B testing to experiment with new ideas and find creative ways to grow their businesses. The course provides a comprehensive overview of A/B testing, including how to design and implement tests, analyze results, and implement changes. It also covers specific use cases for A/B testing in growth hacking, such as optimizing viral loops, improving product adoption, and increasing customer engagement. Taking this course can give you the skills and knowledge you need to become a successful Growth Hacker.

See salaries and explore the career path for Growth Hacker

Conversion Rate Optimizer

Conversion Rate Optimizers use A/B testing to identify and eliminate friction points in the user experience, leading to increased conversions. The course covers the fundamentals of A/B testing, as well as advanced techniques such as multivariate testing and personalization. It also provides practical examples of how A/B testing has been used to improve conversion rates on websites, landing pages, and email campaigns. Taking this course can give you the skills and knowledge you need to become a successful Conversion Rate Optimizer.

See salaries and explore the career path for Conversion Rate Optimizer

Digital Analyst

Digital Analysts use A/B testing to measure the effectiveness of digital marketing campaigns and make data-driven decisions to improve performance. The course provides a thorough understanding of A/B testing, including how to design and implement tests, analyze results, and interpret data. It also covers specific use cases for A/B testing in digital marketing, such as optimizing website traffic, email campaigns, and social media ads. Taking this course can help you gain the skills and knowledge you need to become a successful Digital Analyst.

See salaries and explore the career path for Digital Analyst

UX Designer

UX Designers use A/B testing to evaluate the effectiveness of different design elements and improve the overall user experience. The course provides a solid understanding of A/B testing, including how to design and implement tests, analyze results, and interpret data. It also covers specific examples of how A/B testing has been used to improve the UX of websites, mobile apps, and other digital products. Taking this course can help you develop the skills and knowledge you need to become a successful UX Designer.

See salaries and explore the career path for UX Designer

Marketing Manager

Marketing Managers use A/B testing to optimize their marketing campaigns, improve conversion rates, and increase customer engagement. The course offers a comprehensive overview of A/B testing, including how to design and run tests, analyze results, and implement changes. It also covers specific use cases for A/B testing in marketing, such as optimizing landing pages, email campaigns, and social media ads. Taking this course can help equip you with the skills and knowledge you need to become an effective Marketing Manager.

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Data Scientist

Data Scientists use A/B testing to test hypotheses and make predictions about customer behavior. The course provides a strong foundation in A/B testing, including how to design and implement tests, analyze results, and interpret data. It also covers advanced topics such as Bayesian analysis and machine learning. Taking this course can give you the skills and knowledge you need to become a successful Data Scientist.

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Data Analyst

Data Analysts use A/B testing to analyze data and make recommendations for improvements. The course provides a solid foundation in A/B testing, including how to design and implement tests, analyze results, and interpret data. It also covers specific use cases for A/B testing in data analysis, such as optimizing website traffic, email campaigns, and social media ads. Taking this course can give you the skills and knowledge you need to become a successful Data Analyst.

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Content Marketer

Content Marketers use A/B testing to ensure that their content is engaging and effective. The course provides a solid foundation in A/B testing, including how to design and implement tests, analyze results, and interpret data. It also covers specific examples of how A/B testing has been used to improve the performance of content marketing campaigns in a variety of industries. Taking this course can give you the skills and knowledge you need to become a successful Content Marketer.

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Quantitative Researcher

Quantitative Researchers use A/B testing to collect data and make predictions about customer behavior. The course provides a strong foundation in A/B testing, including how to design and implement tests, analyze results, and interpret data. It also covers advanced topics such as Bayesian analysis and machine learning. Taking this course can give you the skills and knowledge you need to become a successful Quantitative Researcher.

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Email Marketer

Email Marketers use A/B testing to optimize their email campaigns and improve conversion rates. The course provides a solid foundation in A/B testing, including how to design and implement tests, analyze results, and interpret data. It also covers specific examples of how A/B testing has been used to improve the performance of email marketing campaigns in a variety of industries. Taking this course can give you the skills and knowledge you need to become a successful Email Marketer.

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Experimental Psychologist

Experimental Psychologists use A/B testing to study human behavior and make predictions about customer behavior. The course provides a strong foundation in A/B testing, including how to design and implement tests, analyze results, and interpret data. It also covers advanced topics such as Bayesian analysis and machine learning. Taking this course can give you the skills and knowledge you need to become a successful Experimental Psychologist.

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Social Media Manager

Social Media Managers use A/B testing to optimize their social media campaigns and improve engagement. The course provides a comprehensive overview of A/B testing, including how to design and implement tests, analyze results, and implement changes. It also covers specific use cases for A/B testing in social media, such as optimizing ad campaigns, social media posts, and landing pages. Taking this course can help you develop the skills and knowledge you need to become a successful Social Media Manager.

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Product Manager

Product Managers use A/B testing to improve the user experience of their products, increase engagement, and drive conversions. The course provides a solid foundation in A/B testing, including how to define metrics, set goals, and analyze results. It also covers specific examples of how A/B testing has been used to improve products in a variety of industries. This course can help you develop the skills you need to become a successful Product Manager.

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Web Developer

Web Developers use A/B testing to ensure that websites are optimized for speed, performance, and user experience. The course covers the basics of A/B testing, as well as more advanced topics such as multivariate testing and personalization. It also provides examples of how A/B testing has been used to improve the performance of websites in a variety of industries. Taking this course can give you the skills and knowledge you need to become a successful Web Developer.

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Sales Manager

Sales Managers use A/B testing to experiment with different sales strategies and find ways to increase conversion rates. The course provides a comprehensive overview of A/B testing, including how to design and implement tests, analyze results, and implement changes. It also covers specific use cases for A/B testing in sales, such as optimizing sales pitches, email campaigns, and landing pages. Taking this course can help you develop the skills and knowledge you need to become a successful Sales Manager.

See salaries and explore the career path for Sales Manager