Marketing Analytics: Based on First Principles
Autor Robert W. Palmatier, Associate Professor J. Andrew Petersen, Associate Professor Frank Germannen Limba Engleză Paperback – 23 mar 2022
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Specificații
ISBN-13: 9781352013191
ISBN-10: 1352013193
Pagini: 432
Dimensiuni: 171 x 246 x 22 mm
Greutate: 0.86 kg
Editura: Bloomsbury Publishing
Colecția Bloomsbury Academic
Locul publicării:London, United Kingdom
ISBN-10: 1352013193
Pagini: 432
Dimensiuni: 171 x 246 x 22 mm
Greutate: 0.86 kg
Editura: Bloomsbury Publishing
Colecția Bloomsbury Academic
Locul publicării:London, United Kingdom
Caracteristici
Takes a thoroughly modern approach to marketing, supported by state of the art data analytics techniques and code and examples from popular open source software R and Tableau
Notă biografică
Robert W. Palmatier is Professor of Marketing, and John C. Narver Chair of Business Administration at the University of Washington, USA.Frank Germann is Associate Professor of Marketing at the University of Notre Dame, USA.J. Andrew Petersen is an Associate Professor of Marketing at the Pennsylvania State University, USA.
Cuprins
Chapter 1 - Introduction to Marketing Analytics Based on First PrinciplesPART ONE - ALL CUSTOMERS DIFFERChapter 2 - Understanding Marketing Principles #1: All Customers DifferChapter 3 - Cluster Analysis for SegmentationChapter 4 - Discriminant Analysis for Targeting and ClassificationChapter 5 - Perceptual and Preference Mapping for Competitive PositioningPART TWO - ALL CUSTOMERS CHANGEChapter 6 - Understanding Marketing Principle #2: All Customers ChangeChapter 7 - RFM AnalysisChapter 8 - Logistic RegressionChapter 9 - Customer Lifetime ValuePART THREE - ALL COMPETITORS REACTChapter 10 - Understanding Marketing Principle #3: All Competitors ReactChapter 11 - Survey Design and Testing to Derive Customer InsightsChapter 12 - Conjoint Analysis for Product and Pricing DecisionsChapter 13 - Forecasting Sales for New ProductsPART FOUR - ALL RESOURCES ARE LIMITEDChapter 14 - Understanding Marketing Principle #4: All Resources are LimitedChapter 15 - Using Marketing Mix Models to Optimize the Marketing MixChapter 16 - Using Marketing Experiments to Optimize the Marketing MixChapter 17 - Using Topic Models to Glean Customer Insights
Recenzii
"What is special about this book is that analytics is introduced as an integral part of marketing strategy and marketing decision making. The four First Principles of Marketing (MPs) serve as a framework where most of the critical and commonly seen marketing problems can be found...the book covers every tool that I would like my students to have when they walk out of a marketing analytics class. Everything that an instructor would want is included.This is a well-organized text with the latest knowledge from the field."
"This is a book that I have been looking for a long time. I really enjoyed reading it. It is very easy to follow, well-structured, full of example and case studies, linked to the software and simple math language. The book perfectly matches to the course learning outcome.(and) includes the step-by-step guideline on how to do analysis in R and Tableau."
"I have a very positive impression of the textbook especially as it aligns marketing strategy with consumer analytics techniques. This will help students to form a link between different analytical techniques and marketing decisions.We are helping decision makers to make more effective and efficient decisions."
"This is a book that I have been looking for a long time. I really enjoyed reading it. It is very easy to follow, well-structured, full of example and case studies, linked to the software and simple math language. The book perfectly matches to the course learning outcome.(and) includes the step-by-step guideline on how to do analysis in R and Tableau."
"I have a very positive impression of the textbook especially as it aligns marketing strategy with consumer analytics techniques. This will help students to form a link between different analytical techniques and marketing decisions.We are helping decision makers to make more effective and efficient decisions."