Marketing Analytics

Description

In this course, you will learn:

• Customer-base models and statistical methodologies are used to forecast demand.
• Methods and best practises for identifying possible client categories and focused targeting in the market.
• Client Lifetime Value (CLTV) is calculated to analyse customer loyalty and anticipate revenue in the short and long term.
• Consider these factors when designing and launching new products on the market.
• Calculating optimal pricing for products and services in order to maximise return on investment.
• Using marketing ROI to make more informed, data-driven decisions.

Syllabus:

1. Introduction to Marketing Analytics and Customer Analysis
2. Market Segmentation
3. Preference measurement
4. Consumer Choice Models
5. Customer Lifetime Value
6. New Product Decisions
7. New Product Decisions
8. New Product Decisions
9. Pricing Analytics and Optimization
10. Pricing Analytics and Optimization
11. Advertising