Mastering Market Research with Conjoint Analysis

Course Overview

Conjoint Analysis is a key methodology in market research, enabling businesses to understand customer preferences, design better products, and optimize market strategies. This course takes you through the concepts, methods, and applications of Conjoint Analysis with a hands-on approach to real-world scenarios like the motorbike market in India. By the end, you’ll be equipped with practical skills to analyze consumer choices and drive data-driven decisions.

Section-Wise Writeup

Section 1: Introduction

• Lecture 1: Introduction to Market Research Using Conjoint Analysis
  Gain an overview of Conjoint Analysis, its significance in market research, and how it helps businesses understand customer preferences.

Section 2: Getting Started

• Lecture 2: Market Research
  Understand the fundamentals of market research and its role in product development and positioning.

• Lecture 3: Nature of Data
  Learn about the types of data used in Conjoint Analysis and how they influence decision-making.

• Lecture 4: Selection and Preference of Product (Preview Enabled)
  Explore how customer preferences are modeled and their role in predicting market behavior.

• Lecture 5: Conjoint Utilities (Preview Enabled)
  Understand the concept of conjoint utilities and their application in quantifying customer preferences.

• Lecture 6: Choice Based
  Dive into choice-based Conjoint Analysis and its relevance in modern market research.

• Lecture 7: Attributes and Levels
  Learn how to define attributes and levels to design a robust Conjoint Analysis study.

Section 3: Benefit

• Lecture 8: Benefit Segmentation
  Explore benefit segmentation and its use in targeting diverse customer groups.

• Lecture 9: Conjoint Analysis Application
  Learn real-world applications of Conjoint Analysis in various industries.

• Lecture 10: Port Worth and Ranking
  Understand how to rank products based on consumer preference using conjoint results.

Section 4: Method

• Lecture 11: Conjoint Analysis Method
  Delve into the step-by-step methodology for conducting Conjoint Analysis.

• Lecture 12: Conjoint Analysis Design
  Learn about experimental design principles for creating effective conjoint studies.

• Lecture 13: Conjoint Choice Simulation
  Simulate consumer choices and interpret the results to make strategic decisions.

• Lecture 14: Conjoint Analysis Choice Based
  Gain insights into choice-based Conjoint Analysis and its practical applications.

• Lecture 15: Conjoint Analysis – Desirability
  Understand how desirability is measured in Conjoint Analysis to optimize product features.

• Lecture 16: Conjoint Analysis – Importance
  Learn to calculate and interpret attribute importance in decision-making.

• Lecture 17: Demographic Segmentation
  Explore demographic segmentation and its integration with Conjoint Analysis for targeted marketing.

• Lecture 18: Case Studies
  Analyze real-world case studies to understand the implementation of Conjoint Analysis.

Section 5: Motorbike Market

• Lecture 19: CS – Motorbike Market in India
  Apply Conjoint Analysis to study consumer preferences in the Indian motorbike market.

• Lecture 20: CS – Motorbike Market in India Continues
  Continue the case study with detailed analysis and insights.

Section 6: Conclusion

• Lecture 21: Conclusion
  Summarize key learnings, practical applications, and next steps for leveraging Conjoint Analysis in market research.

Course Benefits

• Comprehensive Training: Covers everything from basics to advanced applications of Conjoint Analysis.

• Real-World Case Studies: Hands-on experience with real-life scenarios like the Indian motorbike market.

• Practical Insights: Learn to interpret conjoint data for strategic decision-making.

• Versatile Applications: Explore the use of Conjoint Analysis across various industries.

Who this course is for:

• Market researchers and analysts. Product managers and business strategists. Marketing professionals and consultants. Anyone interested in mastering consumer behavior analytics.