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Marketing analytics for strategic decision-making

By: Publication details: Oxford University Press New Delhi, India 2021Description: 464p. PBISBN:
  • 9780190130862
Subject(s): DDC classification:
  • 658.8/Mai/GurĀ 38527
Contents:
Table of contents Section I: The Need for Marketing Analytics Marketing Analytics and Marketing Research Marketing Analytics: Data including Web Analytics Descriptive Analysis A Primer on Machine Learning for Marketing Analytics Section II: Understanding the Consumer and Customer: Using Structured Data Correlation and Regression Experimental Design Advertising Analytics Consumer Perception, Consumer Preference and Customer Portfolio Management Customer Acquisition Customer Retention Section III: Understanding the Consumer and Customer: Using Unstructured Data Collecting and Understanding Social Media Data Chapter 12: Visualizing Consumer Engagement Chapter 13: Simulating Social Media Data Generating Mechanisms Chapter 14: Analyzing Social Network Data Chapter 15: Mining Meaning from Text Chapter 16: Collecting Unstructured Data in Offline Marketing Research Section IV: Putting it all together Chapter 17: Coda
Summary: Designed primarily for the students of MBA specializing in Marketing and written in a lucid manner, the book will also be useful for marketing professionals trying to improve their understanding of marketing analytics.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Book Book Main Library 658.8/Mai/Gur/38527 (Browse shelf(Opens below)) Available 11138527
Total holds: 0

Table of contents

Section I: The Need for Marketing Analytics

Marketing Analytics and Marketing Research
Marketing Analytics: Data including Web Analytics
Descriptive Analysis
A Primer on Machine Learning for Marketing Analytics
Section II: Understanding the Consumer and Customer: Using Structured Data
Correlation and Regression
Experimental Design
Advertising Analytics
Consumer Perception, Consumer Preference and Customer Portfolio Management
Customer Acquisition
Customer Retention
Section III: Understanding the Consumer and Customer: Using Unstructured Data
Collecting and Understanding Social Media Data
Chapter 12: Visualizing Consumer Engagement
Chapter 13: Simulating Social Media Data Generating Mechanisms
Chapter 14: Analyzing Social Network Data
Chapter 15: Mining Meaning from Text
Chapter 16: Collecting Unstructured Data in Offline Marketing Research
Section IV: Putting it all together
Chapter 17: Coda

Designed primarily for the students of MBA specializing in Marketing and written in a lucid manner, the book will also be useful for marketing professionals trying to improve their understanding of marketing analytics.

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