Marketing Analytics: Pricing Strategies and Price Analytics Training

Live Online & Classroom Enterprise Training

Marketing Analytics: Pricing Strategies and Price Analytics focuses on using data to set and optimize product pricing. It covers pricing models, demand analysis, and techniques to maximize revenue and profitability.

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What is Marketing Analytics: Pricing Strategies and Price Analytics Training about?

This course equips learners with the knowledge and analytical tools required to design, evaluate, and implement effective pricing strategies. It blends marketing principles, analytics techniques, and real-world applications to understand how pricing decisions impact profitability and customer behavior. Participants will learn about price sensitivity, elasticity, segmentation-based pricing, competitive analysis, and advanced pricing models to optimize revenue. By the end, learners will be able to apply pricing analytics to both traditional and digital business environments.

What are the objectives of Marketing Analytics: Pricing Strategies and Price Analytics Training ?

Understand key concepts in pricing strategy and analytics
Apply statistical and econometric models to pricing decisions
Measure price sensitivity, elasticity, and willingness-to-pay
Develop dynamic pricing models for products and services
Use segmentation-based and value-based pricing approaches
Analyze competitive pricing scenarios in real-world markets
Implement pricing strategies that maximize revenue and profitability

Who is Marketing Analytics: Pricing Strategies and Price Analytics Training for?

Marketing Analysts and Managers
Pricing and Revenue Managers
Business Strategists and Product Managers
Data Analysts focusing on business/marketing analytics
MBA students and professionals preparing for marketing leadership roles

What are the prerequisites for Marketing Analytics: Pricing Strategies and Price Analytics Training?

Prerequisites:

Basic understanding of marketing and business concepts
Familiarity with Excel, data analysis, or statistical software (R, Python optional)

Learning Path:

Introduction to Marketing Analytics
Fundamentals of Business Statistics
Customer Insights and Segmentation

Related Courses:

Digital Marketing Analytics
Revenue Management and Optimization
Competitive Strategy

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1: Pricing Policy and Pricing Objective

6 Steps of setting a Pricing policy

This is a Milestone!

Different Pricing Objectives

Module 2: Estimating Demand

Estimating Demand

Forms of Demand Curve

Price Elasticity Examples

Excel: Estimating Linear Demand Curve

Excel: Estimating Power Demand curve with Elasticity

Excel: Estimating Power Demand Curve with points

Subjective Demand curve

Demand curve

Excel: Estimating Subjective Demand Curve

Excel: Maximizing Revenue using Excel Solver

Module 3: Estimating Costs

Estimating the cost function

Excel: Modeling Cost Function and Maximizing Profit

Including effect of complementary goods

Excel: Effect of complementary goods

Complementary Goods

Module 4: Analyzing competitors

Analyzing Competitors

Module 5: Price Bundling Strategy

Price Bundling

Types of Bundling

The Bundling Problem

Excel: Solving Bundling problem

Excel: Solving Bundling problem (Price Reversal)

Module 6: Non-Linear Pricing Strategies

Non-Linear Pricing Strategies

Willingness to Pay of customers

Example Problem Statement

Excel: Standard Quantity Discounts

Excel: Non-Standard Quantity Discounts

Excel: Two-Tier Pricing

Module 7: Price Skimming

Price Skimming Strategy

Excel: Price Skimming Strategy

Non-linear Pricing

Module 8: Revenue Management

Revenue Management

Excel: Handling Uncertainity

Appendix: Using Lookup functions

Module 9: Appendix

Important Excel functions

Popular Excel charts

Who is the instructor for this training?

The trainer for this Marketing Analytics: Pricing Strategies and Price Analytics Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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