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Updated in [July 18th, 2023]
This course provides an in-depth overview of Marketing Analytics & Retail Business Management using Excel. It covers topics such as forecasting models, Market Basket analysis, conducting market research, marketing analytics, RFM (recency, frequency, monetary) analysis, Customer Valuation methods & Price Bundling analysis. After completing this course, students will be able to implement forecasting models such as simple linear, simple multiple regression, Additive and multiplicative trend and seasonality model and many more, required for devising marketing analytics strategies effectively. They will also be able to perform marketing analytics and market basket analysis and calculate lift to derive a store layout that maximizes sales from complementary products, do RFM (Recency, frequency, and monetary value) analysis to help maximize profit from promotional mail campaigns, increase revenue/profit of a firm by implementing revenue / profit maximizing bundle price point using marketing analytics tool like Excel solver Add-in, and understand the value of customers to make intelligent decisions based on recommendations of marketing analytics and marketing research.
The course is taught by Abhishek and Pukhraj, managers in a Global Analytics Consulting firm, who have experience in helping businesses solve their business problems using analytics. Each section of the course contains theoretical concepts and cases of different forecasting models and marketing analytics techniques, step-by-step instructions on implementing forecasting models and marketing analytics in excel, downloadable Excel files containing data and solutions used in each lecture on marketing analytics and retail business management, class notes and assignments to revise and practice the concepts on marketing analytics and retail business management, and practical classes where models are created for each of these strategies.
A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics & Retail Business Management course.
Course Syllabus
Course Introduction
Part 1: Forecasting
1.1 Getting Data ready for Regression Model
1.2 Forecasting using Regression Model
1.3 Handling Special events like Holiday sales
1.4 Identifying Seasonality & Trend for Forecasting
Market Basket Analysis
RFM (recency, frequency, monetary) Analysis
Part 2: Pricing
2.1 Estimating Demand
2.3 Evaluating Pricing Strategies
3.1 Lifetime Customer Value
3.2 Variations and Sensitivity Analysis
Appendix 1: Excel crash course
Congratulations & about your certificate