Pricing Strategy and Revenue Management

This DIXONTECH course provides professionals with the analytical and strategic tools to design, implement, and manage pricing and revenue optimization strategies. Participants will master techniques that link customer value, market dynamics, and profitability, learning how to apply data driven methods and behavioral insights to maximize revenue performance and competitive advantage across industries.

TRAINING TOPICS

• Fundamentals of pricing and revenue management
• Customer segmentation and value perception
• Dynamic pricing and demand forecasting
• Cost, competition, and value-based pricing models
• Revenue optimization and yield management
• Behavioral economics and pricing psychology

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

• Analyze customer value and pricing sensitivities
• Design optimal pricing structures for diverse markets
• Apply dynamic and differential pricing techniques
• Implement data driven revenue optimization models
• Align pricing with strategic business objectives
• Integrate behavioral and psychological pricing insights
• Evaluate profitability through pricing analytics
• Enhance competitive positioning through pricing innovation

TRAINING IS TAILORED TO

• Marketing and pricing managers
• Financial analysts and planners
• Business development professionals
• Sales and revenue management specialists
• Product and brand managers
• Strategy and business consultants
• Operations and commercial managers
• Executives’ responsible for-profit optimization

TRAINING METHODOLOGY

This DIXONTECH training uses a blend of case studies, simulations, and quantitative analysis exercises. Participants will work on real world pricing scenarios, design revenue models, and perform elasticity and segmentation analysis using modern tools. The course ensures actionable understanding through interactive discussions and data driven decision making frameworks.

DAY 1

PRINCIPLES OF PRICING AND REVENUE MANAGEMENT

•   Strategic role of pricing in business performance
•   Overview of revenue management systems and objectives
•   Price elasticity and demand responsiveness
•   Pricing frameworks: cost based, value based, competition based
•   Role of price differentiation and segmentation
•   Factors influencing pricing strategy design
•   Integrating pricing with marketing and financial planning
•   Case study: analyzing price performance relationships

DAY 2

CUSTOMER VALUE, SEGMENTATION, AND BEHAVIORAL PRICING

•   Understanding customer value perception and willingness to pay
•   Market segmentation and targeting techniques
•   Behavioral economics and consumer psychology in pricing
•   Price anchoring, framing, and reference effects
•   Bundling, unbundling, and versioning strategies
•   Managing discounts and perceived fairness
•   Value communication and pricing transparency
•   Workshop: customer segmentation and value-based pricing

DAY 3

DYNAMIC PRICING AND DEMAND FORECASTING

•   Introduction to dynamic pricing and real time optimization
•   Demand forecasting models and predictive analytics
•   Time based, location based, and segment-based pricing
•   Revenue management applications in service industries
•   Demand estimation using historical data
•   Overbooking and capacity optimization
•   Price discrimination and revenue yield management
•   Simulation: applying dynamic pricing in practice

DAY 4

PRICING MODELS, PROFITABILITY, AND OPTIMIZATION TOOLS

•   Cost structure and contribution margin analysis
•   Building profitability focused pricing models
•   Role of AI and machine learning in pricing strategy
•   Multi-channel and omni channel pricing decisions
•   Competitor price monitoring and strategic response
•   Using elasticity and cross price analysis
•   Optimizing price performance trade offs
•   Case study: implementing data driven pricing strategy

DAY 5

STRATEGIC REVENUE MANAGEMENT AND IMPLEMENTATION

•   Linking pricing to corporate strategy and objectives
•   Performance metrics: revenue, margin, and yield KPIs
•   Pricing governance and organizational alignment
•   Developing a pricing policy and management framework
•   Integrating pricing strategy into financial plans
•   Measuring the success of pricing initiatives
•   Building a continuous pricing optimization process