Title
Marketing Analytics: Customer Value and Promotion Strategy
Learn to calculate Customer Lifetime Value using DCF & advanced models & use it to increase the company’s profitability

What you will learn
Learn to calculate customer’s lifetime value under different scenarios and use it to increase the company’s profitability.
Incorporate the impact of discount rate and retention rate to calculate customer value
Run Monte-Carlo Simulation to model uncertainity in Market
Why take this course?
🎓 Marketing Analytics: Customer Value and Promotion Strategy 🚀
Course Headline:
Unlock the Secrets of Customer Lifetime Value with Marketing Analytics & Enhance Your Company's Profitability!
Course Description:
🎓 Take the first step towards becoming a marketing analytics expert today! 🌟
Screenshots




Our review
👆 Overview of Course Ratings:
The course has garnered an average rating of 4.30 from recent reviews, indicating a strong positive reception among students. The feedback is generally positive, with several key points and areas for improvement identified.
Pros:
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Clear and Effective Teaching: Many reviewers praised the instructor's ability to explain concepts clearly and concisely, making complex subjects understandable.
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Practical Application: Reviewers appreciated the use of real-world examples, which helped in applying the knowledge gained to actual projects or business scenarios.
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Comprehensive Content: The course material was considered comprehensive and covered a good range of tools and concepts including Excel, finance, and marketing.
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Real-Life Data Application: Several students highlighted the importance of using real-life data for analysis, which enhanced the learning experience.
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Impactful Learning Experience: Many found the course to be impactful on their understanding of customer lifetime value (CLTV) and other marketing analytics, with some realizing why previous business endeavors did not work out.
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Ease of Understanding: The course was noted for its straightforward approach, avoiding unnecessary fluff and focusing on delivering valuable content efficiently.
Cons:
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Pronunciation Issues: A few reviewers mentioned difficulties understanding the instructor due to pronunciation challenges.
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Examples Needed: Some students felt that more examples, especially real-time or real-life scenarios, would have enhanced the learning experience.
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Basic Examples: One reviewer suggested that the examples provided were too basic and did not fully engage with the complexity of real business cases.
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Lack of Depth in Specific Areas: There was an expectation for more content, particularly regarding theory, to provide a broader understanding of the subject matter.
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Monetary Investment Concerns: A couple of students expressed that the course did not justify its cost, with some finding the presentations difficult to comprehend.
Additional Feedback:
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Value for Money: One student noted that they were able to take the course at a significantly reduced price due to a coupon code, which added value to their learning experience.
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Room for More Content: Some reviewers felt that the content provided was good but expected more material based on the title of the course.
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Introduction Clarity: One student suggested that the introductory section of the description contained more comprehensible information than some parts of the actual course content.
Conclusion:
Overall, the course is highly regarded for its clarity, practical examples, and comprehensive coverage of essential tools and concepts in marketing analytics. However, there is room for improvement in terms of using real-life data, providing more advanced examples, and ensuring that all students can understand the instructor's pronunciation. The feedback indicates that with a few adjustments, this course could be an even more valuable educational tool for those interested in digital marketing and analytics.
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