Best Practices in Pricing Analytics - Reuben Swartz

If you are enrolled in this course, please click on your activities in the table of contents below to access the course.
 
If you would like to enroll in this course, please click here to purchase this course individually, here to purchase the CPP bundle, or here to purchase the CPE bundle.
 

You cannot improve what you cannot measure and nowhere is need for good analyses more acute and more critical to the bottom line, than in pricing.  However, effective pricing analysis is more difficult than traditional financial or sales analysis.  Corporate processes and data infrastructure, built to support these traditional analysis requirements, fail to realize the full potential of pricing analysis.  

In this course, Students will learn about how Pricing Analytics help Pricing Professionals make better tactical and strategic decisions. It also outlines what data Pricing Professionals need to analyze and what strategies to employ if good data does not exist. This workshop presents best practices in pricing analysis and decision support, from theory to practical implementation, and includes hands-on exercises. 

The online course will teach you:

  • Actionable data collection, synthesis, and validation techniques 
  • Knowledge of the key difference between the theory and practice of pricing analysis 
  • Common areas of pricing opportunity, and the pitfalls many businesses succumb to in attempting to capture them. 
  • Ways to build credibility in the organization 
  • How to create a virtuous cycle for pricing analysis, where successive efforts make future efforts easier and more powerful 

 

Key Topics Include:

 

Theory and Practice

  • The theory of pricing analysis
  • The actual practice of pricing analysis (and why the practice is so different from the theory)
  • 6 important differences between consumer pricing and business pricing, and their implications for pricing analysis
  • Why pricing analysis differs from financial and sales analysis

 

Data collection            

  • Identifying the data you need
  • Data collection and synthesis
  • Data cleansing and validation techniques
  • Where to put the data

 

Identifying opportunities

  • Common pricing opportunities
  • Looking back—the basics
  • Looking forward—trend analysis (how you can become a hero or a goat very quickly)
  • Competitive price tracking best practices

 

Institutionalizing change—reaping the rewards

  • Getting support
  • Overcoming objections to analysis
  • Tracking progress while getting the attention of executives
  • Keeping data fresh and useful

Course Details

Welcome
PPT Presentation
Transcription
Session
Best Practices in Pricing Analytics Presentation - Module 1
Best Practices in Pricing Analytics Presentation - Module 2
Course Assessment
Final Quiz
Course Survey
Best Practices in Pricing Analytics Survey
© Copyright 2024 | Terms | Privacy | MC LMS, Inc. | Designed by Boldare