Asia Pacific University Library catalogue


Predictive marketing (Record no. 383811)

000 -LEADER
fixed length control field 04597cam a22003858i 4500
001 - CONTROL NUMBER
control field ocn906937037
003 - CONTROL NUMBER IDENTIFIER
control field APU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220919095257.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220919s2015 nju s 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2015013811
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119037361 (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119175803
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119175801
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119037323
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119037328
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781119037330
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 1119037336
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)906937037
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency APU
Modifying agency SF
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number HF5415
Item number .A78 2015
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Artun, Omer,
Dates associated with a name 1969-
9 (RLIN) 48216
245 10 - TITLE STATEMENT
Title Predictive marketing
Remainder of title easy ways every marketer can use customer analytics and big data /
Statement of responsibility, etc Omer Artun, Dominique Levin.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken :
Name of publisher, distributor, etc Wiley,
Date of publication, distribution, etc c2015.
300 ## - PHYSICAL DESCRIPTION
Extent xxii,
Other physical details 246 pages ;
Dimensions 24 cm.
500 ## - GENERAL NOTE
General note Includes index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part 1: A Complete Predictive Marketing Primer. Big Data and Predictive Analytics Are Now Easily Accessible to All Marketers -- An Easy Primer to Predictive Analytics for Marketers -- Get to Know Your Customers First: Build Complete Customer Profiles -- Managing Your Customers as a Portfolio to Improve Your Valuation -- Part 2: Nine Easy Plays to Get Started with Predictive Marketing. Play One: Optimize Your Marketing Spending Using Customer Data -- Play Two: Predict Customer Personas and Make Marketing Relevant Again -- Play Three: Predict the Customer Journey for Life Cycle Marketing -- Play Four: Predict Customer Value and Value-Based Marketing -- Play Five: Predict Likelihood to Buy or Engage to Rank Customers -- Play Six: Predict Individual Recommendations for Each Customer -- Play Seven: Launch Predictive Programs to Convert More Customers -- Play Eight: Launch Predictive Programs to Grow Customer Value -- Play Nine: Launch Predictive Programs to Retain More Customers -- Part 3: How to Become a True Predictive Marketing Ninja. An Easy-to-Use Checklist of Predictive Marketing Capabilities -- An Overview of Predictive (and Related) Marketing Technology -- Career Advice for Aspiring Predictive Marketers -- Privacy and the Difference Between Delightful and Invasive -- The Future of Predictive Marketing -- Appendix: Overview of Customer Data Types.
520 ## - SUMMARY, ETC.
Summary, etc "Make personalized marketing a reality with this practical guide to predictive analytics Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine-learning technologies to improve customer acquisition and customer growth, and how to identify and re-engage at-risk or lapsed customers by implementing an easy, automated approach to predictive analytics. Much more than just theory and testament to the power of personalized marketing, this book focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience. Predictive analytics can finally make personalized marketing a reality. For the first time, predictive marketing is accessible to all marketers, not just those at large corporations -- in fact, many smaller organizations are leapfrogging their larger counterparts with innovative programs. This book shows you how to bring predictive analytics to your organization, with actionable guidance that get you started today. Implement predictive marketing at any size organization Deliver a more personalized marketing experience Automate predictive analytics with machine learning technology Base marketing decisions on concrete data rather than unproven ideas Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness, but most still employ a one-size-fits-all approach. Predictive Marketing provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience"--
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Internet connectivity; World Wide Web browser.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Marketing.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Levin, Dominique,
Dates associated with a name 1971-
9 (RLIN) 48217
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
956 40 - LOCAL ELECTRONIC LOCATION AND ACCESS (OCLC)
Uniform Resource Identifier http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/9781119175803
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Invoice number Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Copy number Cost, replacement price Price effective from Koha item type PO number
Not Withdrawn Available   Not Damaged Available for loan Book APU Library APU Library Open Shelf APIIT 19/09/2022 EMO IV-016941 86.31 1 1 HF5415 .A78 2015 c.1 00018862 22/12/2022 06/10/2022 1 86.31 19/09/2022 General Circulation U-2022/08/1117