Udemy

A/B testing 101: Methodology for Digital Marketing A/B Test

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  • 123 Students
  • Updated 4/2020
3.7
(45 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 54 Minute(s)
Language
English
Taught by
Maria Bulatova
Rating
3.7
(45 Ratings)

Course Overview

A/B testing 101: Methodology for Digital Marketing A/B Test

Learn more about A/B test methodology and business impact it has from designing the A/B test to the analyzing results.

This course is super practical and would help marketer any level to learn how to choose and characterize metrics to evaluate marketing experiments, how to design an A/B test with enough statistical power, how to analyze the results and draw valid conclusions, and how to ensure that the results have a business impact and might be implemented in the daily marketing activity.

Course Content

  • 5 section(s)
  • 17 lecture(s)
  • Section 1 Course introduction: welcome message.
  • Section 2 A/B testing 101
  • Section 3 A/B testing methodology
  • Section 4 How To Set Up A/B tests
  • Section 5 Analyzing the test results

What You’ll Learn

  • How to successfully run A/B tests - from set up through interpreting results, Methodology for A/B Testing , What’s the business impact of the A/B testing , How to set up hypothesis, Binominal / non-binominal metrics , How to document the test results , Example of the real marketing A/B tests and results, optimization, digital marketing, traffic optimization, advertising, business, ppc advertising, facebook marketing, marketing fundamentals, marketing plan


Reviews

  • B
    Bhagyashree Gaonkar
    3.0

    As a beginner, I’d appreciate more practical examples to help me understand better. Some of the terms are new to me, so simplifying the explanations would make learning easier.

  • S
    Sylviane Nlandu
    5.0

    Très bien. Les explications sont bien illustrées par des exemples. Merci

  • J
    Jeeson Wilson Varghese
    2.0

    While this course is good for beginners who want to learn about A/B testing, it is not comprehensive. The results of the real-world examples are not fully explained. For example, how they arrived at the conclusion in lats example and why it is statistically insignificant is not explained properly. I thought the quality and number of examples would be much higher considering the price for the course.

  • J
    Jennifer Cooper
    3.0

    So far, it's pretty easy to follow in terms of concepts, but I have a hearing impairment which makes listening to a course taught by someone with a thick accent VERY difficult.

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