Predictive Analytics for Marketing

Learn and apply analytic techniques to measure and improve marketing performance.

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Predictive analytics

At a Glance

Type
Courses
Enrollment
Open Enrollment
Duration
8 weeks
Format
Online
Cost
$2,500

Upcoming Dates

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Learn and apply analytic techniques to measure and improve marketing performance.

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The University of Chicago’s eight-week, online Predictive Analytics for Marketing course will teach you how to analyze data; estimate campaign effectiveness; segment and size markets; and use predictive modeling to forecast customer lifetime value. Additionally, its holistic approach will enable marketing and sales teams to create better and more effective marketing campaigns, execute cross-selling and upselling more efficiently, and provide improved customer relations.

Designed For

Designed for professionals interested in advancing their analytical acumen within the marketing discipline. Marketers, prospective marketers, managers, and other leaders who want to leverage analytic techniques to measure and improve marketing performance will benefit from the course.

Our Predictive Analytics for Marketing course focuses on optimal data analysis and predictive modeling. Over an eight-week period, you will gain the tools you need to extract insights to gain a better understanding of customers’ behavior, spending habits, and desires.

After completing the course, you will be able to:

  • Effectively find and evaluate both internal and external sources of data
  • Determine whether to buy an off-the-shelf market segment analysis or build a customer segmentation in-house
  • Construct predictive equations for setting appropriate campaign sizing to meet financial targets
  • Recommend the product mix to be used for marketing to each customer or prospect
  • Measure individual campaigns toward long-term customer value
  • Be awarded a certificate of completion from the University of Chicago and become part of the UChicago network

Online Learning Course Structure

  • Eight weeks in length
  • Weekly, self-paced interactive learning modules and assignments are time-sensitive and should be completed by the set deadlines
  • Synchronous sessions and live question and answer sessions 
  • Mentors will provide continuous support and encourage a dynamic and positive learning environment

Learning Objectives

  • Leverage data to target the right audience
  • Appropriately segment audiences for optimal contact strategy
  • Measure the impact of marketing campaigns
  • Predict future customer purchases
  • Forecast Customer Lifetime Value (CLV)

Weekly Schedule

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