Intelligent Data Driven Marketing When Physicists Start Thinking about Marketing From Mad Man to Math Man Marketing 1st Edition by Mathias Elsasser ISBN

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Author: Mathias Elsasser

“Intelligent Data-Driven Marketing: When Physicists Start Thinking About Marketing – From Mad Man to Math Man Marketing” is a book that explores the profound shift in the marketing landscape from traditional, intuition-based strategies to a more scientific, data-driven approach. The author, recognizing the growing role of data science, physics, and mathematical models in marketing, argues that marketing is no longer solely about creativity and gut instinct, but about harnessing the power of data and analytics to predict, personalize, and optimize marketing strategies.

Intelligent Data Driven Marketing When Physicists Start Thinking about Marketing From Mad Man to Math Man Marketing 1st Table of contents:

Chapter 1: Understanding the Changing Landscape of Marketing

• The Shift from Intuition-Based to Data-Driven Marketing
• The Role of Data Science in the Modern Marketing World
• Key Trends: Personalization, Automation, and Consumer-Centric Strategies
• A Brief History of Marketing: From Mad Men to Math Men

Chapter 2: The Science Behind Marketing

• Applying Physics Principles to Marketing Strategy
• Data-Driven Decision-Making in Marketing Campaigns
• The Use of Mathematical Models in Predicting Consumer Behavior
• Building Effective Marketing Systems with Data

Chapter 3: Collecting and Analyzing Customer Data

• The Importance of Data in Modern Marketing
• Types of Marketing Data: Behavioral, Demographic, Psychographic
• Big Data and Marketing Analytics: Tools and Techniques
• Data Quality, Privacy, and Ethical Considerations

Chapter 4: Predictive Analytics in Marketing

• Using Predictive Models to Forecast Consumer Actions
• The Role of Machine Learning and AI in Consumer Behavior Analysis
• Building and Evaluating Predictive Models for Marketing Campaigns
• Case Studies of Predictive Marketing Success

Chapter 5: Segmentation and Targeting with Data

• Data-Driven Customer Segmentation: Methods and Benefits
• Personalization: Tailoring Marketing Messages Using Data Insights
• Using Data to Identify and Engage High-Value Customers
• Marketing Automation and Its Role in Segment-Based Campaigns

Chapter 6: Optimizing Marketing Campaigns with Data

• A/B Testing and Experimentation: The Scientific Approach to Campaign Design
• Real-Time Marketing Optimization: Tools and Techniques
• Attribution Models: Understanding the Impact of Marketing Efforts
• Using Data to Continuously Improve Campaign Performance

Chapter 7: Marketing with AI and Machine Learning

• The Role of Artificial Intelligence in Modern Marketing
• Machine Learning Algorithms for Targeting, Personalization, and Automation
• AI Tools for Improving Customer Interactions and Engagement
• The Future of Marketing in an AI-Driven World

Chapter 8: Marketing Analytics for ROI and Decision Making

• Measuring Marketing Success: Key Metrics and KPIs
• Return on Investment (ROI) in Data-Driven Marketing
• Integrating Marketing Data with Business Goals and Financial Metrics
• The Role of Analytics in Budgeting and Resource Allocation

Chapter 9: The Integration of Marketing Channels

• Omnichannel Marketing: Delivering Consistent Customer Experiences
• Data-Driven Strategies for Multichannel Campaigns
• Integrating Online and Offline Marketing Data for Better Insights
• Cross-Channel Attribution and Performance Measurement

Chapter 10: The Future of Marketing: Data, Physics, and Innovation

• The Ongoing Role of Data Science and Physics in Marketing
• Emerging Technologies: Blockchain, IoT, and Beyond
• The Future of Customer Behavior Analysis and Predictive Marketing
• How Marketing Will Evolve in a Data-Driven, AI-Powered Future

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