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Marketing analytics : strategic models and metrics

By: Publication details: U.S.A. Createspace Independent Publishing Platform 2016Description: 488 PaperISBN:
  • 978-1481900300
Subject(s): DDC classification:
  • 658.8/Sor
Contents:
The list of chapters below includes a sample of the topics: Chapter 1. Introduction - Introduction to marketing analytics Chapter 2. Market Insight - Market sizing and trend analysis Chapter 3. Market Segmentation - Segment identification, analysis, and strategy Chapter 4. Competitive Analysis - Competitor identification, analysis, and strategy Chapter 5. Business Strategy - Analytics-based strategy selection Chapter 6. Business Operations - Forecasting, predictive analytics, and data mining Chapter 7. Product and Service Analytics - Conjoint analysis and product/service metrics Chapter 8. Price Analytics - Pricing techniques and assessment Chapter 9. Distribution Analytics - Analytics-based channel evaluation and selection Chapter 10. Promotion Analytics - Promotion budget estimation and allocation Chapter 11. Sales Analytics - Metrics for sales, profitability, and support Chapter 12. Analytics in Action - Pivot tables and data-driven presentations Edition: First Edition, Version 1.1, introduced November 2013. Revision 1.1 incorporates minor corrections and edits. It retains the same layout as the original release (First Edition, Version 1.0). See StephanSorger.com for a complete record of all changes.
Summary: Marketing Analytics: Strategic Models and Metrics offers marketing students and professionals a practical guide to strategic decision models and marketing metrics. The tools described in the book will aid marketers in making intelligent decisions to drive revenue and results in their organizations. The book contains a wealth of information on marketing analytics: Almost 500 pages of text, covering a wide variety of decision models and metrics Nearly 400 figures, including diagrams, tables, and charts Step-by-step instructions on market segmentation, conjoint analysis, and other techniques Current examples demonstrating how organizations are applying models and metrics
List(s) this item appears in: Recent aditions_August 2017
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The list of chapters below includes a sample of the topics:

Chapter 1. Introduction - Introduction to marketing analytics
Chapter 2. Market Insight - Market sizing and trend analysis
Chapter 3. Market Segmentation - Segment identification, analysis, and strategy
Chapter 4. Competitive Analysis - Competitor identification, analysis, and strategy
Chapter 5. Business Strategy - Analytics-based strategy selection
Chapter 6. Business Operations - Forecasting, predictive analytics, and data mining
Chapter 7. Product and Service Analytics - Conjoint analysis and product/service metrics
Chapter 8. Price Analytics - Pricing techniques and assessment
Chapter 9. Distribution Analytics - Analytics-based channel evaluation and selection
Chapter 10. Promotion Analytics - Promotion budget estimation and allocation
Chapter 11. Sales Analytics - Metrics for sales, profitability, and support
Chapter 12. Analytics in Action - Pivot tables and data-driven presentations
Edition: First Edition, Version 1.1, introduced November 2013. Revision 1.1 incorporates minor corrections and edits. It retains the same layout as the original release (First Edition, Version 1.0). See StephanSorger.com for a complete record of all changes.

Marketing Analytics: Strategic Models and Metrics offers marketing students and professionals a practical guide to strategic decision models and marketing metrics. The tools described in the book will aid marketers in making intelligent decisions to drive revenue and results in their organizations.

The book contains a wealth of information on marketing analytics:

Almost 500 pages of text, covering a wide variety of decision models and metrics
Nearly 400 figures, including diagrams, tables, and charts
Step-by-step instructions on market segmentation, conjoint analysis, and other techniques
Current examples demonstrating how organizations are applying models and metrics

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