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Principles of Marketing Analytics
Understand Data-Driven Decision-Making
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About the book
This introductory textbook demystifies the complex field of marketing analytics, taking students on a journey from fundamental concepts to practical insights.
Ideal for undergraduate students, beginning to learn marketing analytics, Principles of Marketing Analytics covers:
- Data collection and measurement
- Customer segmentation and targeting
- Marketing campaign optimization
- Machine learning for marketing
- Forecasting future marketing trends
As well as web analytics, social marketing analytics and exploring the potential of generative AI for A/B testing and customer engagement. Learn how to implement data-driven marketing strategies through practical exercises and valuable insights. Online resources include PowerPoint slides and a guide for lecturers, and in-text features include a glossary, key learning points and real-world examples from companies such as Netflix and Airbnb.
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Table of contents
- Chapter - 01: Introduction to marketing analytics: Defining the field
- Chapter - 02: Data collection and measurement: Best practices for collecting, organising, and storing marketing data;
- Chapter - 03: Key marketing metrics: Understanding the essential metrics for measuring marketing performance;
- Chapter - 04: Customer segmentation and targeting: Using data to identify and reach high-value customer segments;
- Chapter - 05: Marketing campaign optimization: Leveraging data for effective marketing campaigns;
- Chapter - 06: Social media analytics: Tracking social media performance and engaging with customers online;
- Chapter - 07: Web analytics: Analysing website traffic to optimize user experience;
- Chapter - 08: Predictive Modeling: Using data to forecast future marketing trends and outcomes;
- Chapter - 09: Marketing Attribution: Determining the effectiveness of different marketing channels and touchpoints;
- Chapter - 10: Machine Learning for Marketing: Leveraging AI to automate marketing tasks and improve decision-making;
- Chapter - 11: The Rise of Generative AI in Marketing: Exploring the potential of Generative AI
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