Fighting Churn with Data

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

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

Predictive Analytics

Author: Eric Siegel
Publisher: John Wiley & Sons
ISBN: 1119153654
Category : Business & Economics
Languages : en
Pages : 368

Book Description
"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a

Data-Driven Marketing

Author: Mark Jeffery
Publisher: John Wiley & Sons
ISBN: 0470504544
Category : Business & Economics
Languages : en
Pages : 325

Book Description
NAMED BEST MARKETING BOOK OF 2011 BY THE AMERICAN MARKETING ASSOCIATION How organizations can deliver significant performance gains through strategic investment in marketing In the new era of tight marketing budgets, no organization can continue to spend on marketing without knowing what's working and what's wasted. Data-driven marketing improves efficiency and effectiveness of marketing expenditures across the spectrum of marketing activities from branding and awareness, trail and loyalty, to new product launch and Internet marketing. Based on new research from the Kellogg School of Management, this book is a clear and convincing guide to using a more rigorous, data-driven strategic approach to deliver significant performance gains from your marketing. Explains how to use data-driven marketing to deliver return on marketing investment (ROMI) in any organization In-depth discussion of the fifteen key metrics every marketer should know Based on original research from America's leading marketing business school, complemented by experience teaching ROMI to executives at Microsoft, DuPont, Nisan, Philips, Sony and many other firms Uses data from a rigorous survey on strategic marketing performance management of 252 Fortune 1000 firms, capturing $53 billion of annual marketing spending In-depth examples of how to apply the principles in small and large organizations Free downloadable ROMI templates for all examples given in the book With every department under the microscope looking for results, those who properly use data to optimize their marketing are going to come out on top every time.

Data Analytics Applications in Gaming and Entertainment

Author: Günter Wallner
Publisher: CRC Press
ISBN: 1000008703
Category : Computers
Languages : en
Pages : 216

Book Description
The last decade has witnessed the rise of big data in game development as the increasing proliferation of Internet-enabled gaming devices has made it easier than ever before to collect large amounts of player-related data. At the same time, the emergence of new business models and the diversification of the player base have exposed a broader potential audience, which attaches great importance to being able to tailor game experiences to a wide range of preferences and skill levels. This, in turn, has led to a growing interest in data mining techniques, as they offer new opportunities for deriving actionable insights to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation. By now, data mining and analytics have become vital components of game development. The amount of work being done in this area nowadays makes this an ideal time to put together a book on this subject. Data Analytics Applications in Gaming and Entertainment seeks to provide a cross section of current data analytics applications in game production. It is intended as a companion for practitioners, academic researchers, and students seeking knowledge on the latest practices in game data mining. The chapters have been chosen in such a way as to cover a wide range of topics and to provide readers with a glimpse at the variety of applications of data mining in gaming. A total of 25 authors from industry and academia have contributed 12 chapters covering topics such as player profiling, approaches for analyzing player communities and their social structures, matchmaking, churn prediction and customer lifetime value estimation, communication of analytical results, and visual approaches to game analytics. This book’s perspectives and concepts will spark heightened interest in game analytics and foment innovative ideas that will advance the exciting field of online gaming and entertainment.

Why Business People Speak Like Idiots

Author: Brian Fugere
Publisher: Simon and Schuster
ISBN: 9780743269094
Category : Business & Economics
Languages : en
Pages : 194

Book Description
There is a fundamental disconnection between the way business people speak and real people communicate. From advertisers, big business and CEOs - the blather is coming at us in waves. The International Language of Business is no longer English - it's gobbledygook. The authors blindly discovered the enormity of the problem in June 2003 with the launch of Bullfighter, an anti-jargon software tool. But jargon is just one symptom in a larger problem afflicting corporate communications today: the wholesale inability to connect with an audience. In the form of admirably straight-talk, we discover how to avoid the 'obscurity trap', 'the anonymity trap', the 'hard-sell trap' and most importantly, 'the tedium trap'. In this witty and practical new book readers are given all the tools they need to fight the 'spin' and learn to speak like the rest of us.

Data Preparation for Data Mining

Author: Dorian Pyle
Publisher: Morgan Kaufmann
ISBN: 9781558605299
Category : Computers
Languages : en
Pages : 566

Book Description
This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance.

The Ocean of Churn

Author: Sanjeev Sanyal
Publisher: Penguin UK
ISBN: 9386057611
Category : Literary Collections
Languages : en
Pages : 313

Book Description
Much of human history has played itself out along the rim of the Indian Ocean. In a first-of-its-kind attempt, bestselling author Sanjeev Sanyal tells the history of this significant region, which stretches across East Africa, the Middle East and the Indian subcontinent to South East Asia and Australia. He narrates a fascinating tale about the earliest human migrations out of Africa and the great cities of Angkor and Vijayanagar; medieval Arab empires and Chinese ‘treasure fleets’; the rivalries of European colonial powers and a new dawn. Sanjeev explores remote archaeological sites, ancient inscriptions, maritime trading networks and half-forgotten oral histories, to make exciting revelations. In his inimitable style, he draws upon existing and new evidence to challenge well-established claims about famous historical characters and the flow of history. Adventurers, merchants, explorers, monks, swashbuckling pirates, revolutionaries and warrior princesses populate this colourful and multifaceted narrative. The Ocean of Churn takes the reader on an amazing journey through medieval geopolitics and eyewitness accounts of long-lost cities to the latest genetic discoveries about human origins, bringing alive a region that has defined civilization from the very beginning.

Encyclopedia of Data Science and Machine Learning

Author: Wang, John
Publisher: IGI Global
ISBN: 1799892212
Category : Computers
Languages : en
Pages : 3296

Book Description
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Communicating with Data

Author: Carl Allchin
Publisher: "O'Reilly Media, Inc."
ISBN: 1098101812
Category : Computers
Languages : en
Pages : 348

Book Description
Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations. Author Carl Allchin shows anyone how to find data sources and develop data analytics, and teaches those with more data expertise how to visualize data to convey findings to key business leaders more effectively. Once both your business and data experts possess the skills to work with data and interpret its significance, you can deal with questions and challenges in departments across your organization. Learn the fundamental data skills required to work with data Use data visualization to influence change in your organization Learn how to apply data techniques to effectively work with data end to end Understand how to communicate data points clearly and persuasively Appreciate why different stakeholders often have divergent needs and views Create a playbook for using data with different departments

Always Day One

Author: Alex Kantrowitz
Publisher: Penguin
ISBN: 0593083482
Category : Business & Economics
Languages : en
Pages : 274

Book Description
"This is a terrific book" - Kara Swisher An acclaimed tech reporter reveals the inner workings of Amazon, Facebook, Google, Apple, and Microsoft, showing how to compete with the tech titans using their own playbook. At Amazon, "Day One" is code for inventing like a startup, with little regard for legacy. Day Two is, in Jeff Bezos's own words, "stasis, followed by irrelevance, followed by excruciating, painful decline, followed by death." Most companies today are set up for Day Two. They build advantages and defend them fiercely, rather than invent the future. But Amazon and fellow tech titans Facebook, Google, and Microsoft are operating in Day One: they prioritize reinvention over tradition and collaboration over ownership. Through 130 interviews with insiders, from Mark Zuckerberg to hourly workers, Always Day One reveals the tech giants' blueprint for sustainable success in a business world where no advantage is safe. Companies today can spin up new products at record speed -- thanks to artificial intelligence and cloud computing -- and those who stand still will be picked apart. The tech giants remain dominant because they've built cultures that spark continual reinvention. It might sound radical, but those who don't act like it's always day one do so at their own peril. Kantrowitz uncovers the engine propelling the tech giants' continued dominance at a stage when most big companies begin to decline. And he shows the way forward for everyone who wants to compete with--and beat--the titans.