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Marketing Analytics

ISBN- 978-93-5480-217-1
AUTHORS- DR. Saroj Kumar, Tripti singh Chowdhury
₹230.00
Tax excluded
ISBN- 978-93-5480-217-1
AUTHORS- DR. Saroj Kumar, Tripti singh Chowdhury
Syllabus
Code: KMBN MK02
MARKETING ANALYTICS
Unit -1 (4 hrs.)
Introduction to marketing Analytics: Meaning, characteristics, advantages and disadvantages of marketing analytics, Market Data Sources (Primary and Secondary). Market Sizing: Stakeholders, Applications & Approaches (Top-down and Bottom-up), PESTLE Market Analysis, Porter Five Force Analysis
Unit-2 (8 hrs.)
Pricing Analytics: Pricing Policy and Objectives, Estimating Demand: Price Elasticity, Estimating Linear and Power Demand Curves, Optimize Pricing, Incorporating Complementary Products, Pricing using Subjective Demand Curve, Pricing Multiple Products, Price Bundling & Nonlinear Pricing: Pure Bundling & Mixed Bundling, Determine Optimal Bundling Pricing, Profit Maximizing strategies using Nonlinear Pricing Strategies, Price Skimming & Sales, Revenue Management: Markdown Pricing and Handling Uncertainty
Unit-3 (8 hrs.)
Sales Forecasting Introduction, Simple Linear Regression & Multiple Regression model to forecast sales, Forecasting in Presence of Special Events, Modeling trend and seasonality; Ratio to moving average forecasting method, Using S curves to Forecast Sales of a New Product
Unit-4 (8 hrs.)
Customer Analytics: Customer Lifetime Value: Concept, Basic Customer Value, Measuring Customer Lifetime value, Estimating Chance that customer is still active, Using Customer Value to value a business Market Segmentation : The segmentation-targeting-positioning (STP) framework, Segmentation, The concept of market segmentation, managing the segmentation process, Deriving market segments and describing the segments using Cluster analysis,
Unit-5 (8 hrs.)
Retailing & Advertising Analysis Market Basket analysis: Computing two way and three-way lift, RFM Analysis, Allocating Retail Space and Sales Resources: Identifying the sales to marketing effort relationship & its modeling, optimizing sales effort Advertising Analysis: Measuring the Effectiveness of Advertising, Pay per Click (PPC) Online Advertising
AKTU/2022/MBA/03/07
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