| LDR | | 05397cmm u22006738i 4500 |
| 001 | | 000000317109 |
| 003 | | OCoLC |
| 005 | | 20230525181901 |
| 006 | | m d |
| 007 | | cr ||||||||||| |
| 008 | | 180130s2018 enk ob 001 0 eng |
| 010 | |
▼a 2018004497 |
| 019 | |
▼a 1029605469 |
| 020 | |
▼a 9780749482176
▼q ) |
| 020 | |
▼a 0749482176 |
| 020 | |
▼z 9780749482169
▼q (alk. paper) |
| 035 | |
▼a 1738744
▼b (N$T) |
| 035 | |
▼a (OCoLC)1022084257
▼z (OCoLC)1029605469 |
| 040 | |
▼a DLC
▼b eng
▼e rda
▼c DLC
▼d OCLCO
▼d OCLCF
▼d OCLCQ
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▼d EBLCP
▼d 248032 |
| 042 | |
▼a pcc |
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▼a MAIN |
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▼a HF5415.2 |
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▼a BUS
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▼a 658.8/3
▼2 23 |
| 100 | 1 |
▼a Grigsby, Mike,
▼e author. |
| 245 | 10 |
▼a Marketing analytics :
▼b a practical guide to improving consumer insights using data techniques /
▼c Mike Grigsby. |
| 250 | |
▼a Second edition. |
| 260 | |
▼a London ;
▼a New York :
▼b Kogan Page,
▼c 2018. |
| 263 | |
▼a 1804 |
| 300 | |
▼a 1 online resource |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b n
▼2 rdamedia |
| 338 | |
▼a online resource
▼b nc
▼2 rdacarrier |
| 504 | |
▼a Includes bibliographical references and index. |
| 505 | 0 |
▼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 |
| 505 | 8 |
▼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 |
| 505 | 8 |
▼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? |
| 505 | 8 |
▼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 |
| 505 | 8 |
▼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... |
| 520 | |
▼a Understand how to apply marketing science techniques fearlessly, to improve consumer insights and compete more effectively in the marketplace. |
| 588 | 0 |
▼a Print version record and CIP data provided by publisher; resource not viewed. |
| 590 | |
▼a OCLC control number change |
| 650 | 0 |
▼a Marketing research. |
| 650 | 0 |
▼a Marketing. |
| 650 | 7 |
▼a Marketing.
▼2 fast
▼0 (OCoLC)fst01010167 |
| 650 | 7 |
▼a Marketing research.
▼2 fast
▼0 (OCoLC)fst01010284 |
| 650 | 7 |
▼a BUSINESS & ECONOMICS / Industrial Management.
▼2 bisacsh |
| 650 | 7 |
▼a BUSINESS & ECONOMICS / Management.
▼2 bisacsh |
| 650 | 7 |
▼a BUSINESS & ECONOMICS / Management Science.
▼2 bisacsh |
| 650 | 7 |
▼a BUSINESS & ECONOMICS / Organizational Behavior.
▼2 bisacsh |
| 655 | 4 |
▼a Electronic books. |
| 776 | 08 |
▼i Print version:
▼a Grigsby, Mike.
▼t Marketing analytics.
▼b Second edition.
▼d London ; New York : Kogan Page, 2018
▼z 9780749482169
▼w (DLC) 2018003158 |
| 856 | 40 |
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1738744 |
| 938 | |
▼a EBL - Ebook Library
▼b EBLB
▼n EBL5330078 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 1738744 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |