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Digital Customer Analytics

Learn to harness Customer Lifetime Value concepts for firm value, customer selection, and loyalty programming in this comprehensive digital marketing course.

Learn to harness Customer Lifetime Value concepts for firm value, customer selection, and loyalty programming in this comprehensive digital marketing course.

Master digital customer analytics with this comprehensive course from UMD. Learn to transform marketing data into actionable customer insights through Customer Lifetime Value (CLV) concepts. The course covers creating customer value, evaluating marketing actions, customer selection techniques, and loyalty program optimization. Designed for marketing professionals and analysts, you'll explore cutting-edge topics like customer churn analysis, Direct to Consumer Models, and modern valuation tools. This practical course combines theoretical knowledge with real-world applications, making it ideal for professionals seeking to enhance their digital marketing capabilities.

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Digital Customer Analytics

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

16,417

Audit For Free

What you'll learn

  • Apply Customer Lifetime Value concepts to evaluate marketing effectiveness

  • Develop strategies for customer selection and retention

  • Create and optimize loyalty programs for long-term success

  • Analyze customer churn patterns and implement prevention strategies

  • Implement Direct to Consumer Models effectively

  • Transform digital marketing data into actionable customer insights

Skills you'll gain

Customer Lifetime Value
Data Analysis
Loyalty Programs
Digital Marketing
Customer Analytics
Marketing Strategy
Customer Engagement
Direct-to-Consumer
Customer Selection
Marketing Actions

This course includes:

PreRecorded video

Graded assignments, Exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Module Description

This course provides a comprehensive understanding of digital customer analytics, focusing on Customer Lifetime Value (CLV) concepts and their practical applications. Students learn to transform digital marketing data into valuable customer insights and selection techniques. The curriculum covers creating and evaluating customer value, developing effective loyalty programs, analyzing customer churn, and understanding Direct to Consumer Models. The course is specifically designed for marketing professionals who want to enhance their analytical capabilities and strategic decision-making skills in digital marketing.

Fee Structure

Instructors

P.K. Kannan
P.K. Kannan

7 Courses

Leading Expert in Marketing Analytics and Digital Innovation

Dr. P.K. Kannan serves as Dean's Chair in Marketing Science and Associate Dean for Strategic Initiatives at the University of Maryland's Robert H. Smith School of Business, where he combines expertise in marketing analytics with digital innovation. After completing his PhD in Management from Purdue University, he has established himself as one of the world's most influential marketing scholars, recognized among the top 2% most-cited researchers globally. His work spans multiple areas including digital marketing, attribution modeling, and customer relationship management, earning numerous prestigious awards including the EMAC Distinguished Marketing Scholar Award 2024, John Little Best Paper Award, and multiple AMA/MSI Paul Root Awards. As Editor-in-Chief of the International Journal of Research in Marketing (2018-2021) and through his current editorial roles with leading journals, he continues to shape the field while developing innovative approaches to marketing challenges. His research has attracted substantial funding from organizations including the National Science Foundation and PricewaterhouseCoopers, while his expertise is demonstrated through successful consulting engagements with major corporations like IBM, Frito-Lay, and Black & Decker. Through his teaching of marketing modeling, pricing, and digital marketing in executive programs, he helps bridge advanced analytics with practical applications while maintaining active research in emerging areas of marketing science. His achievements include multiple Distinguished Teaching Awards and the UMD Distinguished Scholar-Teacher Award, reflecting his commitment to both research excellence and educational innovation in marketing.

Leading Expert in Marketing Education and Student Development

Dr. Mary Beth Furst serves as Clinical Professor and Associate Area Chair in Marketing at the University of Maryland's Robert H. Smith School of Business, where she combines expertise in marketing education with extensive industry experience. After completing her EdD from Johns Hopkins University, MBA from Loyola University Maryland, and BBA in Marketing, she has established herself as a dedicated educator focused on student success and curriculum development. Her career spans both industry and academia, including nearly two decades at Pfizer where she managed portfolio expansion and contract negotiations, followed by roles at Howard Community College and Johns Hopkins University's Whiting School of Engineering. Through her teaching of core marketing and product innovation courses in both undergraduate and MBA programs, she helps students understand the global business environment while developing practical marketing skills. Her expertise particularly shines in curriculum design and student development, demonstrated through her leadership as Faculty Advisor to UMD AMA and participation in the Neurodiversity faculty learning community. Currently leading initiatives to improve teaching practices and student outcomes, she continues to advance marketing education while maintaining active involvement in global business education through study abroad programs and international marketing initiatives.

Digital Customer Analytics

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

16,417

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.