Loading...

Course Description

The success of any targeting strategy is dependent on the validity of the models used to select customers, which requires that value distinctions are optimized within the constraints of a marketing budget. While there are a variety of methods available to identify and assess likely drivers of customer response, their ability to differentiate and approximate relative influence on purchase behavior can be limited in scope.

In this course, you will explore logistic regression as a means to enhance the predictive specificity and granularity of response likelihood, estimating and iterating on logistic models to maximize expected profitability. You will go from identifying and leveraging categorical response data common to real-world business interactions to evaluating the probabilistic relevance of associated predictor variables to optimize customer selection for targeting. Along the way, you will compare the relative efficacy of a variety of approaches in their ability to improve return on investment, recognizing the potential implications of those differences with regard to marketing success.

The following courses are required to be completed before taking this course:

  • Leveraging Customers for Growth
  • A/B Testing and Analytics
  • Customer Behavior Segmentation Analysis

Note: While familiarity with R/RStudio is not a prerequisite for this course, you will be asked to use R/RStudio for a variety of analytical activities. Solution code provided for practice opportunities can be copied, pasted, and adjusted for graded assessments, but some manipulation of that code will still be required.

Faculty Author

Young-Hoon Park

Benefits to the Learner

  • Explore the use of regression analysis
  • Implement logistic regression analysis
  • Apply logistic regression to customer targeting

Target Audience

  • Marketers
  • Marketing and business analysts
  • Managers using data insights to make business decisions

Applies Towards the Following Certificates

Loading...

Enroll Now - Select a section to enroll in

Type
2 week
Dates
Apr 29, 2026 to May 12, 2026
Total Number of Hours
16.0
Course Fee(s)
Regular Price $999.00

Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Marketing Analytics course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order; for example; JCB541 prior to JCB542, JCB542 prior to JCB543, etc.
  • While familiarity with R/RStudio is not a pre-requisite for this course, you will be asked to use R/RStudio for a variety of analytical activities. Solution code provided for practice opportunities can be copied, pasted, and adjusted for graded assessments, but some manipulation of that code will still be required.

  • This course includes two years of free access Marketing Symposium! Symposium features various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing topics with your peers. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.
Type
2 week
Dates
Jun 24, 2026 to Jul 07, 2026
Total Number of Hours
16.0
Course Fee(s)
Regular Price $999.00

Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Marketing Analytics course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order; for example; JCB541 prior to JCB542, JCB542 prior to JCB543, etc.
  • While familiarity with R/RStudio is not a pre-requisite for this course, you will be asked to use R/RStudio for a variety of analytical activities. Solution code provided for practice opportunities can be copied, pasted, and adjusted for graded assessments, but some manipulation of that code will still be required.

  • This course includes two years of free access Marketing Symposium! Symposium features various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing topics with your peers. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.
Type
2 week
Dates
Aug 19, 2026 to Sep 01, 2026
Total Number of Hours
16.0
Course Fee(s)
Regular Price $999.00

Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Marketing Analytics course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order; for example; JCB541 prior to JCB542, JCB542 prior to JCB543, etc.
  • While familiarity with R/RStudio is not a pre-requisite for this course, you will be asked to use R/RStudio for a variety of analytical activities. Solution code provided for practice opportunities can be copied, pasted, and adjusted for graded assessments, but some manipulation of that code will still be required.

  • This course includes two years of free access Marketing Symposium! Symposium features various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing topics with your peers. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.
Type
2 week
Dates
Oct 14, 2026 to Oct 27, 2026
Total Number of Hours
16.0
Course Fee(s)
Regular Price $999.00

Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Marketing Analytics course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order; for example; JCB541 prior to JCB542, JCB542 prior to JCB543, etc.
  • While familiarity with R/RStudio is not a pre-requisite for this course, you will be asked to use R/RStudio for a variety of analytical activities. Solution code provided for practice opportunities can be copied, pasted, and adjusted for graded assessments, but some manipulation of that code will still be required.

  • This course includes two years of free access Marketing Symposium! Symposium features various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing topics with your peers. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.
Type
2 week
Dates
Dec 09, 2026 to Dec 22, 2026
Total Number of Hours
16.0
Course Fee(s)
Regular Price $999.00

Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Marketing Analytics course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order; for example; JCB541 prior to JCB542, JCB542 prior to JCB543, etc.
  • While familiarity with R/RStudio is not a pre-requisite for this course, you will be asked to use R/RStudio for a variety of analytical activities. Solution code provided for practice opportunities can be copied, pasted, and adjusted for graded assessments, but some manipulation of that code will still be required.

  • This course includes two years of free access Marketing Symposium! Symposium features various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing topics with your peers. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.
Required fields are indicated by .