In this course, you will explore the growth and impact of increasing international and domestic (U.S.) investment in digital advertising. In detailing the two main approaches — display and sponsored search advertising — you'll understand how most "free" media markets are actually “two-sided” markets, requiring platforms to satisfy two user groups in order to make a profit. You will become familiar with the critical metrics used to evaluate ad performance as you go hands-on to compute the ROI of various activities based on data provided within a scenario. From here, you will examine the need for multi-touch attribution and become aware of the intricacies of rules-based and data-based attribution. Finally, you will learn about randomized field experiments as a method for evaluating ad performance, as well as the pros and cons inherent in this approach.

You are required to have completed the following course or have equivalent experience before taking this course:

  • Exploring Data Sets With R
 

How It Works

Course Length
2 weeks

Effort
3 to 5 hours of study per week

Format
100% online, instructor-led
  • Marketing professionals
  • Business analysts
  • Managers using data insights to make business decisions
Get It Done 100% Online
Our programs are expressly designed to fit the lives of busy professionals like you.

Learn From cornell's Top Minds
Courses are personally developed by faculty experts to help you gain today's most in-demand skills.

Power Your career
Cornell's internationally recognized standard of excellence can set you apart.

Request Information Now by completing the form below.

Act today—courses are filling fast.