BMBMK02 Marketing and Web Analytics 3rd Semester AKTU MBA Notes

Unit 1 [Book]
Meaning, Characteristics of Marketing Analytics VIEW
Advantages and Disadvantages of Marketing Analytics VIEW
Market Data Sources: Primary and Secondary VIEW
Market Sizing: Stakeholders, Applications VIEW
Top-down and Bottom-up Approaches VIEW
PESTEL Analysis VIEW
Porter’s five forces Model for Market Evaluation VIEW
Unit 2 [Book]
Pricing Analytics VIEW
Pricing Policy VIEW
Pricing Objectives VIEW
Demand Estimation VIEW
Price Elasticity VIEW
Linear and Power Demand Curves VIEW
Optimizing Pricing VIEW
Subjective Demand Curves VIEW
Pricing Multiple Products VIEW
Price Bundling: Pure vs. Mixed Bundling VIEW
Nonlinear Pricing VIEW
Profit Maximization Strategies VIEW
Revenue Management VIEW
Markdown Pricing VIEW
Pricing Uncertainty Handling VIEW
Price Skimming VIEW
Sales Promotions VIEW
Unit 3 [Book]
Sales Forecasting VIEW
Customer Analytics VIEW
Linear and Multiple Regression for Forecasting VIEW
Seasonality and Special Events Modeling VIEW
Ratio to Moving Average Method VIEW
Curve Forecasting for New Products VIEW
Customer Lifetime Value (CLV), Concept, Estimation and Business Implication VIEW
Market Segmentation VIEW
STP Framework VIEW
Clustering for Segment Derivation, Describing Market Segments VIEW
Unit 4 [Book]
Retail Analytics VIEW
Market Basket Analysis (2way and 3way Lift) VIEW
RFM Analysis VIEW
Retail Space VIEW
Sales Resource Allocation VIEW
Advertising Analytics: VIEW
Advertising Effectiveness VIEW
PPC VIEW
Online Ads VIEW
Introduction to Web Analytics: Key Terms, Process VIEW
Offsite vs. Onsite Web Analytics VIEW
Web Analytics Tools & Metrics: Hits, Page Views, Bounce Rate, Traffic Source VIEW
Google Analytics Overview, KPIs, Need, Characteristics, Perspective and Usage Custom Campaigns and Content Reports VIEW
Unit 5 [Book]  
Facebook Analytics: Demographics, Engagement and Post Performance VIEW
Social Campaign Analysis: Goals & Outcomes Analytics for Instagram VIEW
Twitter, LinkedIn, YouTube Organic vs. Paid Traffic, Benchmarking VIEW
Web Analytics Tools: A/B Testing, Online Surveys, Web Crawling and Indexing VIEW
NLP Techniques for Micro-text Analysis VIEW
Google Website Optimizer: Working and Implementation VIEW
Heuristic Evaluation VIEW
Qualitative Techniques: Site Visits, Surveys (Post-visit and Online) VIEW
Web Analytics 2.0 VIEW
Web Analytics 1.0 VIEW
Competitive Intelligence VIEW
Website Traffic Trends and Overlap VIEW

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