MARC 닫기
05397cam a22006738i 4500
000001333992
20210114162905
m d
cr |||||||||||
180130s2018 enk ob 001 0 eng
▼a 2018004497
▼a 1029605469
▼a 9780749482176
▼q )
▼a 0749482176
▼z 9780749482169
▼q (alk. paper)
▼a 1738744
▼b (N$T)
▼a (OCoLC)1022084257
▼z (OCoLC)1029605469
▼a DLC
▼b eng
▼e rda
▼c DLC
▼d OCLCO
▼d OCLCF
▼d OCLCQ
▼d N$T
▼d EBLCP
▼d 248023
▼a pcc
▼a HF5415.2
▼a BUS
▼x 082000
▼2 bisacsh
▼a BUS
▼x 041000
▼2 bisacsh
▼a BUS
▼x 042000
▼2 bisacsh
▼a BUS
▼x 085000
▼2 bisacsh
▼a 658.8/3
▼2 23
▼a Grigsby, Mike,
▼e author.
▼a Marketing analytics:
▼b a practical guide to improving consumer insights using data techniques /:
▼c Mike Grigsby.
▼a Second edition.
▼a London ;
▼a New York:
▼b Kogan Page,
▼c 2018.
▼a 1 online resource.
▼a text
▼b txt
▼2 rdacontent
▼a computer
▼b n
▼2 rdamedia
▼a online resource
▼b nc
▼2 rdacarrier
▼a Includes bibliographical references and index.
▼a Cover; Contents; Foreword to the first edition; Foreword to the second edition; Preface; Introduction to marketing analytics; PART ONE Overview -- how can marketing analytics help you?; 01 A brief statistics review; Measures of central tendency; Measures of dispersion; The normal distribution; Confidence intervals; Relations among two variables: covariance and correlation; Probability and the sampling distribution; Conclusion; Checklist: You'll be the smartest person in the room if you...; 02 Brief principles of consumer behaviour and marketing strategy; Introduction
▼a Consumer behaviour as the basis for marketing strategyOverview of consumer behaviour; Overview of marketing strategy; Conclusion; Checklist: You'll be the smartest person in the room if you...; 03 What is an insight?; Introduction; Insights tend not to be used by executives; Is this an insight?; So, what is an insight?; Ultimately, an insight is about action-ability; Checklist: You'll be the smartest person in the room if you...; PART TWO Dependent variable techniques; 04 What drives demand? Modelling dependent variable techniques; Introduction
▼a Dependent equation type vs inter-relationship type statisticsDeterministic vs probabilistic equations; Business case; Results applied to business case; Modelling elasticity; Technical notes; Highlight: Segmentation and elasticity modelling can maximize revenue in a retail/medical clinic chain:field test results; Abstract; The problem and some background; Description of the dataset; First: segmentation; Then: elasticity modelling; Last: test vs control; Discussion; Conclusion; Checklist: You'll be the smartest person in the room if you...; 05 Who is most likely to buy and how do I target them?
▼a IntroductionConceptual notes; Business case; Results applied to the model; Lift charts; Using the model -- collinearity overview; Variable diagnostics; Highlight: Using logistic regression for market basket analysis; Abstract; What is a market basket?; Logistic regression; How to estimate/predict the market basket; Conclusion; Checklist: You'll be the smartest person in the room if you...; 06 When are my customers most likely to buy?; Introduction; Conceptual overview of survival analysis; Business case; More about survival analysis; Model output and interpretation; Conclusion
▼a Highlight: Lifetime value: how predictive analysis is superior to descriptive analysisAbstract; Descriptive analysis; Predictive analysis; An example; Checklist: You'll be the smartest person in the room if you...; 07 Panel regression -- how to use a cross-sectional time series; Introduction; What is panel regression?; Panel regression: details; Business case; Insights about marcom (direct mail, e-mail and SMS); Insights about time period (quarters); Insights about cross sections (counties); Conclusion; Checklist: You'll be the smartest person in the room if you...
▼a Understand how to apply marketing science techniques fearlessly, to improve consumer insights and compete more effectively in the marketplace.
▼a Print version record and CIP data provided by publisher; resource not viewed.
▼a OCLC control number change
▼a Marketing research.
▼a Marketing.
▼a Marketing.
▼2 fast
▼0 (OCoLC)fst01010167
▼a Marketing research.
▼2 fast
▼0 (OCoLC)fst01010284
▼a BUSINESS & ECONOMICS / Industrial Management.
▼2 bisacsh
▼a BUSINESS & ECONOMICS / Management.
▼2 bisacsh
▼a BUSINESS & ECONOMICS / Management Science.
▼2 bisacsh
▼a BUSINESS & ECONOMICS / Organizational Behavior.
▼2 bisacsh
▼a Electronic books.
▼i Print version:
▼a Grigsby, Mike.
▼t Marketing analytics.
▼b Second edition.
▼d London ; New York : Kogan Page, 2018,
▼z 9780749482169
▼w (DLC) 2018003158
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1738744
▼a EBL - Ebook Library
▼b EBLB
▼n EBL5330078
▼a EBSCOhost
▼b EBSC
▼n 1738744
▼a 강리원
▼a eBook
▼a 92
▼b N$T
| 자료유형 : | eBook |
|---|---|
| ISBN : | 9780749482176 |
| ISBN : | 0749482176 |
| ISBN : | |
| 개인저자 : | Grigsby, Mike, author. |
| 서명/저자사항 : | Marketing analytics: a practical guide to improving consumer insights using data techniques /: Mike Grigsby. |
| 판사항 : | Second edition. |
| 발행사항 : | London ; New York: Kogan Page, 2018. |
| 형태사항 : | 1 online resource. |
| 서지주기 : | Includes bibliographical references and index. |
| 내용주기 : | Cover; Contents; Foreword to the first edition; Foreword to the second edition; Preface; Introduction to marketing analytics; PART ONE Overview -- how can marketing analytics help you?; 01 A brief statistics review; Measures of central tendency; Measures of dispersion; The normal distribution; Confidence intervals; Relations among two variables: covariance and correlation; Probability and the sampling distribution; Conclusion; Checklist: You'll be the smartest person in the room if you...; 02 Brief principles of consumer behaviour and marketing strategy; Introduction |
| 내용주기 : | Consumer behaviour as the basis for marketing strategyOverview of consumer behaviour; Overview of marketing strategy; Conclusion; Checklist: You'll be the smartest person in the room if you...; 03 What is an insight?; Introduction; Insights tend not to be used by executives; Is this an insight?; So, what is an insight?; Ultimately, an insight is about action-ability; Checklist: You'll be the smartest person in the room if you...; PART TWO Dependent variable techniques; 04 What drives demand? Modelling dependent variable techniques; Introduction |
| 내용주기 : | Dependent equation type vs inter-relationship type statisticsDeterministic vs probabilistic equations; Business case; Results applied to business case; Modelling elasticity; Technical notes; Highlight: Segmentation and elasticity modelling can maximize revenue in a retail/medical clinic chain:field test results; Abstract; The problem and some background; Description of the dataset; First: segmentation; Then: elasticity modelling; Last: test vs control; Discussion; Conclusion; Checklist: You'll be the smartest person in the room if you...; 05 Who is most likely to buy and how do I target them? |
| 내용주기 : | IntroductionConceptual notes; Business case; Results applied to the model; Lift charts; Using the model -- collinearity overview; Variable diagnostics; Highlight: Using logistic regression for market basket analysis; Abstract; What is a market basket?; Logistic regression; How to estimate/predict the market basket; Conclusion; Checklist: You'll be the smartest person in the room if you...; 06 When are my customers most likely to buy?; Introduction; Conceptual overview of survival analysis; Business case; More about survival analysis; Model output and interpretation; Conclusion |
| 내용주기 : | Highlight: Lifetime value: how predictive analysis is superior to descriptive analysisAbstract; Descriptive analysis; Predictive analysis; An example; Checklist: You'll be the smartest person in the room if you...; 07 Panel regression -- how to use a cross-sectional time series; Introduction; What is panel regression?; Panel regression: details; Business case; Insights about marcom (direct mail, e-mail and SMS); Insights about time period (quarters); Insights about cross sections (counties); Conclusion; Checklist: You'll be the smartest person in the room if you... |
| 요약 : | Understand how to apply marketing science techniques fearlessly, to improve consumer insights and compete more effectively in the marketplace. |
| 일반주제명 : | Marketing research. -- |
| 일반주제명 : | Marketing. -- |
| 일반주제명 : | Marketing. -- |
| 일반주제명 : | Marketing research. -- |
| 일반주제명 : | BUSINESS & ECONOMICS / Industrial Management. -- |
| 일반주제명 : | BUSINESS & ECONOMICS / Management. -- |
| 일반주제명 : | BUSINESS & ECONOMICS / Management Science. -- |
| 일반주제명 : | BUSINESS & ECONOMICS / Organizational Behavior. -- |
| 기타형태 저록 : | Print version: Grigsby, Mike. Marketing analytics. Second edition. London ; New York : Kogan Page, 2018, 9780749482169 |
| 언어 | 영어 |
| URL : |
|---|
서평쓰기