Analytics of Customer Behavior and Churn Prediction in B2B Asset Management Software PDF Download

Author: Fabian Konstantin Wiegand
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Klepac, Goran
Publisher: IGI Global
ISBN: 1466662891
Category : Computers
Languages : en
Pages : 326

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"This book provides an in-depth analysis of attrition modeling relevant to business planning and management, offering insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytic tools"--Provided by publisher.

Author: Carl S. Gold
Publisher: Manning Publications
ISBN: 161729652X
Category : Computers
Languages : en
Pages : 502

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Book Description
The beating heart of any product or service business is returning clients. Don't let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you'll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether. Summary The beating heart of any product or service business is returning clients. Don't let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you'll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether. This hands-on guide is packed with techniques for converting raw data into measurable metrics, testing hypotheses, and presenting findings that are easily understandable to non-technical decision makers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Keeping customers active and engaged is essential for any business that relies on recurring revenue and repeat sales. Customer turnover—or “churn”—is costly, frustrating, and preventable. By applying the techniques in this book, you can identify the warning signs of churn and learn to catch customers before they leave. About the book Fighting Churn with Data teaches developers and data scientists proven techniques for stopping churn before it happens. Packed with real-world use cases and examples, this book teaches you to convert raw data into measurable behavior metrics, calculate customer lifetime value, and improve churn forecasting with demographic data. By following Zuora Chief Data Scientist Carl Gold’s methods, you’ll reap the benefits of high customer retention. What's inside Calculating churn metrics Identifying user behavior that predicts churn Using churn reduction tactics with customer segmentation Applying churn analysis techniques to other business areas Using AI for accurate churn forecasting About the reader For readers with basic data analysis skills, including Python and SQL. About the author Carl Gold (PhD) is the Chief Data Scientist at Zuora, Inc., the industry-leading subscription management platform. Table of Contents: PART 1 - BUILDING YOUR ARSENAL 1 The world of churn 2 Measuring churn 3 Measuring customers 4 Observing renewal and churn PART 2 - WAGING THE WAR 5 Understanding churn and behavior with metrics 6 Relationships between customer behaviors 7 Segmenting customers with advanced metrics PART 3 - SPECIAL WEAPONS AND TACTICS 8 Forecasting churn 9 Forecast accuracy and machine learning 10 Churn demographics and firmographics 11 Leading the fight against churn

Author: Arash Barfar
Publisher:
ISBN:
Category :
Languages : en
Pages : 34

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Motivated by the long-standing debate on rationality in behavioral economics and the potential of theory-driven predictive analytics, this paper examines the link between service quality and B2B churn. Using longitudinal B2B transactional data with service quality indicators provided by a large company, we present evidence that both rationality and bounded-rationality assumptions play significant roles in predicting organizational decisions on churn. Specifically, variables that relate to the assumed rationality of organizations appear to provide accurate predictions while, at the same time, variables that capture boundedly rational decision rules appear to play a role through “somatic states” that make organizations more sensitive to the rational variables. In addition to presenting a novel approach for predicting organizational decisions on churn, this paper offers theoretical and managerial insights as well as opportunities for future research at the intersection of behavioral economics and predictive analytics for decision-making.

Author: Omer Artun
Publisher: John Wiley & Sons
ISBN: 1119037336
Category : Business & Economics
Languages : en
Pages : 217

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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.

Author: Ignacio Aberg Cobo
Publisher:
ISBN:
Category :
Languages : en
Pages : 36

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New trends are shaping the telecommunications, media and technology (TMT) industries. Consumers are demanding to be connected anytime to hundreds of thousands of applications that are one click away. In addition, loyalty levels are decreasing and customers do not hesitate to switch providers if they do not receive value for their money. Because of this, churn management is a key driver of profits. However, few companies excel at churn management and most underestimate its impact. The thesis is focused on describing a technological solution targeted to improve churn management capabilities within companies that belong to the TMT sector and explore the opportunities and hurdles of selling this kind of solution in a B2B context. The hypothesis is that a world class churn management solution can effectively deploy statistical models to score customers by their likelihood to churn and execute targeted treatments for each segment through the operator service channels. The study will focus on how behavioral analytics and machine learning can increase customer's life time value and boost margins in TMT companies. Throughout the research, I will describe the best practices within the industry to establish a state of the art churn management solution.

Author: Nripendra P. Rana
Publisher: Springer Nature
ISBN: 3030243745
Category : Business & Economics
Languages : en
Pages : 337

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Book Description
This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.

Author: Frederik Derk Wiersema
Publisher:
ISBN: 9780988548800
Category :
Languages : en
Pages : 59

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Author: R. Shanthi
Publisher: MJP Publisher
ISBN:
Category : Business & Economics
Languages : en
Pages : 268

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CUSTOMER RELATIONSHIP MANAGEMENTOPERATIONAL CRMANALYTICAL CRMCOLLABORATIVE CRMRELATIONSHIP MANAGEMENTTHE CRM MODELSELECTRONIC CUSTOMER RELATIONSHIP MANAGEMENT (E-CRM)CRM IMPLEMENTATIONAPPLICATIONS OF CRM IN HEALTH SECTORFINANCIAL SYSTEM OVERVIEWAPPLICATIONS OF CRM IN THE MANUFACTURING SECTORAPPLICATION OF CRM IN RETAIL SECTORAPPLICATION OF CRM INTELECOM SECTORFUTURE OF CRMConclusionReferenceIndex

Author: Michael J. A. Berry
Publisher: John Wiley & Sons
ISBN: 0471470643
Category : Business & Economics
Languages : en
Pages : 671

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Book Description
Many companies have invested in building large databases and data warehouses capable of storing vast amounts of information. This book offers business, sales and marketing managers a practical guide to accessing such information.