Mastering Value-Based Pricing
An example driven course contrasting Cost-Based to Value-Based Pricing and enabling to move towards Value-Based Pricing
Updated on Jul, 2024
Language - English
Lectures -29
Resources -6
Duration -1 hours
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Course Description
Pricing is a very important aspect of being able to sell a product or a service. I understand this even more after I started my own business. When I started initially, the only way I used to price for our products and services was to determine the cost incurred by us and then adding a suitable margin of profit on top of that.
However, this is not always the best way to get returns for what we have worked for. A much superior way is to Price based on the Value of what we are offering as a Product or Service.
This course discusses the nuances of Value-Based Pricing.
While we try to examine all aspects discussed in this course from general perspective, I have focused on how a small firm should approach Pricing for its Products and Services. Further, while we also discuss general Consumer Products, I have focused on Products and Services offered by one Organisation to another Organisation.
I have tried to include a lot of examples so that it becomes easy to understand the discussions. The examples are taken from real situations and thus should help understand not only the concepts; but also the various practical implications and remedies.
Goals
- Cost-Based Pricing
- Value-Based Pricing
- Discounting
- Pricing
Prerequisites
- A brief knowledge of Economics will help (but not necessary)
- A brief knowledge of Costing will help (but not necessary)
- Some experience of doing business (independently or as a part of a Company) in any form would help (but not necessary)
Curriculum
Check out the detailed breakdown of what’s inside the course
Welcome to the Course
2 Lectures
-
Introduction to the Course
01:07
01:07
-
Course Contents
01:03
01:03
Cost-Based Pricing
3 Lectures
Case Study: Reliance Telecom Ltd Story
7 Lectures
Value-Based Pricing
7 Lectures
A few Techniques for Selling
5 Lectures
Course Closing
4 Lectures
Instructor Details
PARTHA MAJUMDAR
Partha started his career in 1989 as a programmer. In his first assignment, he was involved in development of a Cricket Tournament management system as a part of the team from Centre for Development of Telematics (C-DOT) requested by the Prime Minister of India, Mr. Rajiv Gandhi. Since then Partha has developed Tea Garden automation solution, Hospital Management solution, Travel Management solution, Manufacturing Resource Planning (MRP II) solution, Insurance Management solution and Tax automation solution (for Government of Thailand).
Partha got involved in Telecom solution with project from Total Access Communications, Bangkok in 1996. Partha developed the completed solution architecture and designed & developed the complete infrastructure services and primitives on top of which the end-to-end Customer Care and Billing solution was developed between 1996-1998.
Partha has worked for companies including Amdocs, Portal, Siemens and has developed key components of their solutions. For Siemens, Partha developed the complete BSS suite.
Partha worked with Mobily, Saudi Arabia as the Enterprise Architect and has first-hand of experience of work inside a Telecom Operator.
Partha started his own company, Majumdar Consultancy Pvt Ltd, in 2014. He partnered with a Dubai based businessman to open SI Solutions India Pvt Ltd in 2016. In 2019, he joined Tools and Solutions, Saudi Arabia as Director - Professional Services to establish the Professional Services business.
Partha has recently developed a Remote Control, which can be controlled from a Web Site. The Remote Control can in turn control any device. The Remote Control to be controlled needs having Infra-Red sensing capabilities. The Remote Control is controlled through DragonBoard 410C through a Android Program.
Partha has been working on fine tuning the algorithm for a Access Control System through Face Recognition. The program has been developed using Convolutional Neural Network (CNN).
Partha has also developed a software which tries to predict the Stock Market. The solution has been developed using Recurrent Neural Network (RNN). The solution presently predict with an accuracy of 77%.
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