Black Bg

정회원신청

정회원 신청은 대출이 가능한 소속 부대 도서관 홈페이지에서 요청하셔야 합니다.
정회원 신청 하시겠습니까?

닫기
검색

검색

  • Home
  • 기능목록
  • 검색

상세정보

Marketing analytics : a practical guide to improving consumer insights using data techniques / / Second edition

QR코드
도서 상세정보
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
원문
URL :
    • 예약 신청
    • 인쇄
    • S도서정보문자발송
    • 서가부재자료신청
    • 보존서고자료신청
    • 우선정리예약
    • 무인예약대출

    예약

    1. 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
    2. 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
    3. 3. 기타 문의사항은 도서관에 문의 바랍니다.
    닫기

    무인예약대출

    1. 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
    2. 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
    3. 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
    4. 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
    5. 5. 기타 문의사항은 도서관에 문의 바랍니다.
    닫기
    서평쓰기

    서평쓰기

    서평쓰기
    닫기
    태그추가

    태그추가

    닫기

    QR코드

    닫기
    챗봇
    • 도서관 대화형 검색봇 서비스 앤디입니다.