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| customer retention cohort analysis: Lean Analytics Alistair Croll, Benjamin Yoskovitz, 2024-02-23 Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products |
| customer retention cohort analysis: SQL for Data Analysis Cathy Tanimura, 2021-09-09 With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow. You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference. Learn the key steps for preparing your data for analysis Perform time series analysis using SQL's date and time manipulations Use cohort analysis to investigate how groups change over time Use SQL's powerful functions and operators for text analysis Detect outliers in your data and replace them with alternate values Establish causality using experiment analysis, also known as A/B testing |
| customer retention cohort analysis: Fighting Churn with Data Carl S. Gold, 2020-12-22 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 |
| customer retention cohort analysis: Unveiling Customer Trends The Power of Cohort Analysis in Business and Marketing D.D.BOOKS, 2024-07-28 Discover the power of cohort analysis with D.D.BOOKS' groundbreaking book, Unveiling Customer Trends: The Power of Cohort Analysis in Business and Marketing. This book explores how cohort analysis can reveal valuable insights into customer behavior and trends. D.D.BOOKS' practical guidance and real-world examples will help you leverage this powerful tool to optimize your marketing strategies and drive business growth. Unlock the potential of cohort analysis and stay ahead of market trends. |
| customer retention cohort analysis: Fighting Churn with Data Carl Gold, 2020-11-13 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 |
| customer retention cohort analysis: Early Warning Systems and Targeted Interventions for Student Success in Online Courses Glick, Danny, Cohen, Anat, Chang, Chi, 2020-06-26 Online learning has increasingly been viewed as a possible way to remove barriers associated with traditional face-to-face teaching, such as overcrowded classrooms and shortage of certified teachers. While online learning has been recognized as a possible approach to deliver more desirable learning outcomes, close to half of online students drop out as a result of student-related, course-related, and out-of-school-related factors (e.g., poor self-regulation; ineffective teacher-student, student-student, and platform-student interactions; low household income). Many educators have expressed concern over students who unexpectedly begin to struggle and appear to fall off track without apparent reason. A well-implemented early warning system, therefore, can help educators identify students at risk of dropping out and assign and monitor interventions to keep them on track for graduation. Despite the popularity of early warning systems, research on their design and implementation is sparse. Early Warning Systems and Targeted Interventions for Student Success in Online Courses is a cutting-edge research publication that examines current theoretical frameworks, research projects, and empirical studies related to the design, implementation, and evaluation of early warning systems and targeted interventions and discusses their implications for policy and practice. Moreover, this book will review common challenges of early warning systems and dashboard design and will explore design principles and data visualization tools to make data more understandable and, therefore, more actionable. Highlighting a range of topics such as curriculum design, game-based learning, and learning support, it is ideal for academicians, policymakers, administrators, researchers, education professionals, instructional designers, data analysts, and students. |
| customer retention cohort analysis: Age-Period-Cohort Analysis Yang Yang, Kenneth C. Land, 2016-04-19 This book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. They show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. |
| customer retention cohort analysis: Modeling and Simulation in Engineering, Economics, and Management Kurt J. Engemann, Anna M. Gil-Lafuente, José M. Merigó-Lindahl, 2012-06-02 This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics, and Management, MS 2012, held in New Rochelle, NY, USA, in May/June 2012. The event was co-organized by the AMSE Association and Iona College. The 27 full papers in this book were carefully reviewed and selected from 78 submissions. In addition to these papers a summary of the plenary presentation given by Ronald R. Yager is also included. The book mainly focuses on the field of intelligent systems and its application to economics and business administration. Some papers have a stronger orientation towards modeling and simulation in these fields. |
| customer retention cohort analysis: Hacking Growth Sean Ellis, Morgan Brown, 2017-04-25 The definitive playbook by the pioneers of Growth Hacking, one of the hottest business methodologies in Silicon Valley and beyond. It seems hard to believe today, but there was a time when Airbnb was the best-kept secret of travel hackers and couch surfers, Pinterest was a niche web site frequented only by bakers and crafters, LinkedIn was an exclusive network for C-suite executives and top-level recruiters, Facebook was MySpace’s sorry step-brother, and Uber was a scrappy upstart that didn’t stand a chance against the Goliath that was New York City Yellow Cabs. So how did these companies grow from these humble beginnings into the powerhouses they are today? Contrary to popular belief, they didn’t explode to massive worldwide popularity simply by building a great product then crossing their fingers and hoping it would catch on. There was a studied, carefully implemented methodology behind these companies’ extraordinary rise. That methodology is called Growth Hacking, and it’s practitioners include not just today’s hottest start-ups, but also companies like IBM, Walmart, and Microsoft as well as the millions of entrepreneurs, marketers, managers and executives who make up the community of Growth Hackers. Think of the Growth Hacking methodology as doing for market-share growth what Lean Start-Up did for product development, and Scrum did for productivity. It involves cross-functional teams and rapid-tempo testing and iteration that focuses customers: attaining them, retaining them, engaging them, and motivating them to come back and buy more. An accessible and practical toolkit that teams and companies in all industries can use to increase their customer base and market share, this book walks readers through the process of creating and executing their own custom-made growth hacking strategy. It is a must read for any marketer, entrepreneur, innovator or manger looking to replace wasteful big bets and spaghetti-on-the-wall approaches with more consistent, replicable, cost-effective, and data-driven results. |
| customer retention cohort analysis: Web Analytics Demystified Eric T. Peterson, 2004 |
| customer retention cohort analysis: Database Marketing Robert C. Blattberg, Byung-Do Kim, Scott A. Neslin, 2010-02-26 Database marketing is at the crossroads of technology, business strategy, and customer relationship management. Enabled by sophisticated information and communication systems, today’s organizations have the capacity to analyze customer data to inform and enhance every facet of the enterprise—from branding and promotion campaigns to supply chain management to employee training to new product development. Based on decades of collective research, teaching, and application in the field, the authors present the most comprehensive treatment to date of database marketing, integrating theory and practice. Presenting rigorous models, methodologies, and techniques (including data collection, field testing, and predictive modeling), and illustrating them through dozens of examples, the authors cover the full spectrum of principles and topics related to database marketing. This is an excellent in-depth overview of both well-known and very recent topics in customer management models. It is an absolute must for marketers who want to enrich their knowledge on customer analytics. (Peter C. Verhoef, Professor of Marketing, Faculty of Economics and Business, University of Groningen) A marvelous combination of relevance and sophisticated yet understandable analytical material. It should be a standard reference in the area for many years. (Don Lehmann, George E. Warren Professor of Business, Columbia Business School) The title tells a lot about the book's approach—though the cover reads, database, the content is mostly about customers and that's where the real-world action is. Most enjoyable is the comprehensive story – in case after case – which clearly explains what the analysis and concepts really mean. This is an essential read for those interested in database marketing, customer relationship management and customer optimization. (Richard Hochhauser, President and CEO, Harte-Hanks, Inc.) In this tour de force of careful scholarship, the authors canvass the ever expanding literature on database marketing. This book will become an invaluable reference or text for anyone practicing, researching, teaching or studying the subject. (Edward C. Malthouse, Theodore R. and Annie Laurie Sills Associate Professor of Integrated Marketing Communications, Northwestern University) |
| customer retention cohort analysis: Longitudinal Data Analysis Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, Geert Molenberghs, 2008-08-11 Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory |
| customer retention cohort analysis: Superior Customer Value Art Weinstein, 2018-12-07 Superior Customer Value is a state-of-the-art guide to designing, implementing and evaluating a customer value strategy in service, technology and information-based organizations. A customer-centric culture provides focus and direction for an organization, driving and enhancing market performance. By benchmarking the best companies in the world, Weinstein shows students and marketers what it really means to create exceptional value for customers in the Now Economy. Learn how to transform companies by competing via the 5-S framework – speed, service, selection, solutions and sociability. Other valuable tools such as the Customer Value Funnel, Service-Quality-Image-Price (SQIP) framework, SERVQUAL, and the Customer Value/Retention Model frame the reader’s thinking on how to improve marketing operations to create customer-centered organizations. This edition features a stronger emphasis on marketing thinking, planning and strategy, as well as new material on the Now Economy, millennials, customer obsession, business models, segmentation and personalized marketing, customer experience management and customer journey mapping, value pricing, customer engagement, relationship marketing and technology, marketing metrics and customer loyalty and retention. Built on a solid research basis, this practical and action-oriented book will give students and managers an edge in improving their marketing operations to create superior customer experiences. |
| customer retention cohort analysis: Handbook of e-Business Security João Manuel R.S. Tavares, Brojo Kishore Mishra, Raghvendra Kumar, Noor Zaman, Manju Khari, 2018-07-27 There are a lot of e-business security concerns. Knowing about e-business security issues will likely help overcome them. Keep in mind, companies that have control over their e-business are likely to prosper most. In other words, setting up and maintaining a secure e-business is essential and important to business growth. This book covers state-of-the art practices in e-business security, including privacy, trust, security of transactions, big data, cloud computing, social network, and distributed systems. |
| customer retention cohort analysis: The Startup's Guide to Customer Success Jennifer Chiang, 2019-02-22 Are you looking to start or grow a customer success team? Customer success is no longer just for companies with large teams and resources. It's a company mindset that can unlock the biggest opportunities in business. Customer success can help streamline experiences, grow product engagement and loyalty, and more importantly - retain business.In The Startup's Guide to Customer Success, Jennifer Chiang presents a guide on how to plan, execute, and grow your own customer success team and the actionable steps that you can take to champion the customer at your company.Learn insights such as: * The four attributes Shreesha Ramdas, CEO and Co-Founder of Strikedeck, says are must-haves when hiring your first customer success team* How Jamey Jeff, Managing Director of Customer Success Solutions at Coastal Cloud, reevaluated QBRs to derive more value for his customers with less work* How Maranda Dziekonski, VP of Customer Success at Pared, manages her time wisely to not only get everything done, but fight fires and plan aheadThis book is for everyone from new customer success leaders, CEOs and VPs who want their company to be more customer-centric, to start-ups who are starting their own customer success teams |
| customer retention cohort analysis: SQL for Data Analysis Cathy Tanimura, 2021-09-09 With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow. You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference. Learn the key steps for preparing your data for analysis Perform time series analysis using SQL's date and time manipulations Use cohort analysis to investigate how groups change over time Use SQL's powerful functions and operators for text analysis Detect outliers in your data and replace them with alternate values Establish causality using experiment analysis, also known as A/B testing |
| customer retention cohort analysis: Customer Centricity Peter Fader, 2012 Not all customers are created equal. Despite what the tired old adage says, the customer is not always right. Not all customers deserve your best efforts: in the world of customer centricity, there are good customers...and then there is pretty much everybody else. Upending some of our most fundamental beliefs, renowned behavioral data expert Peter Fader, Co-Director of The Wharton Customer Analytics Initiative, helps businesses radically rethink how they relate to customers. He provides insights to help you revamp your performance metrics, product development, customer relationship management and organization in order to make sure you focus directly on the needs of your most valuable customers and increase profits for the long term. |
| customer retention cohort analysis: Introduction to Marketing Analytics Prof. Dr. R. Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij, 2024-10-15 Introduction to Marketing Analytics delves into the foundational elements of marketing, known as the 4Ps—Product, Price, Place, and Promotion—and expands upon them to include additional key components crucial for services marketing, such as People, Process, and Physical Evidence. These elements are vital for companies to develop coherent marketing strategies that not only attract new customers but also build long-term loyalty among existing ones. The rise of digital technologies has significantly transformed how companies engage with consumers and conduct market research. Big data analytics now allows for personalized marketing efforts, creating campaigns offering organizations the ability to better understand and respond to customer journeys. Moreover, the book highlights the growing role of artificial intelligence (AI) and machine learning in modern marketing strategies. By integrating these advanced technologies, businesses can better meet their customers’ evolving needs, outpacing the competition. It covers various analysis techniques, such as marketing mix modelling, that help organizations understand the impact of different marketing activities on sales and other key performance indicators (KPIs). Through real-life examples and case studies, this book highlights a practical guide for professionals looking to apply data-driven marketing strategies to drive growth, innovation, and sustainable success in a constantly changing market landscape. |
| customer retention cohort analysis: The Wiley Blackwell Handbook of the Psychology of Recruitment, Selection and Employee Retention Harold W. Goldstein, Elaine D. Pulakos, Carla Semedo, Jonathan Passmore, 2017-05-05 An unmatched collection of resources perfect for psychologists, scholars, and HR practitioners In The Wiley Blackwell Handbook of the Psychology of Recruitment, Selection and Employee Retention, an expert team of authors presents a comprehensive and authoritative perspective on critical issues in employee recruitment, selection, and retention. Every chapter offers an in-depth review of the most recent literature and provides academics, researchers, industry practitioners, and students with a holistic reference to relevant data and theory. The book includes job analyses, biodata, simulation exercises, talent management guides, talent assessment guides for leadership development, and online employee selection strategies. |
| customer retention cohort analysis: Growth Product Manager's Handbook Eve Chen, 2024-01-30 Achieve sustainable product growth with expert insights on data-driven decision-making and growth strategies to accelerate company's growth Key Features Understand and implement key growth product management models to improve revenue, user adoption, and retention Learn effective frameworks, strategies, and tactics for growth product management in various contexts Develop practical strategies and insights to achieve customer lifetime goals Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the dynamic landscape of modern product management, professionals face a myriad of challenges, spanning customer acquisition, monetization, user retention, competition, and technical expertise. To overcome these hurdles, this book crystalizes growth strategies that revolve around harnessing the power of data, experimentation, and user insights to drive growth for a product. This handbook serves as your guide to exploring the essential growth product management models and their applications in various contexts, unveiling their role in enhancing revenue performance and customer retention. Along the way, actionable steps will steer you in implementing these models while helping you better understand your users, experiment with new features and marketing strategies, and measure the impact of your efforts, ultimately guiding you to achieve your customer retention and lifetime customer goals. By the end of this book, you’ll have gained advanced insights into growth product management, models, and growth strategies, and when and how to use them to achieve customer-for-life goals and optimized revenue performance.What you will learn Understand key growth product management models such as lean startup, pirate metrics, and AARRR frameworks Optimize journeys, improve UX, and personalize interactions with retention and loyalty strategies Explore model applications in SaaS, e-commerce, and mobile app development Implement practical actions to prioritize, experiment, and measure Get to grips with techniques of service, feedback, and rewards for customer retention Set and achieve customer lifetime value goals for success Discover effective strategies for achieving your customer-for-life goals Who this book is for Whether you're a seasoned product manager, a newcomer to the field, or an aspiring growth product manager, this guide offers valuable insights and actionable strategies to drive growth and achieve success. Additionally, growth marketers and startup founders with basic product marketing knowledge will benefit from this book, expanding their understanding of growth-centric product management practices to elevate their careers and propel their companies to acquire more customers and reach customer-for-life goals. |
| customer retention cohort analysis: Essentials of Marketing Analytics Aditi Srivastava, 2024-10-28 Marketing Analytics is one of the most dynamic subjects that has substantially grown over the period in less time. In less than a decade, it has captured the essence of the market and eventually helped businesses grow and expand further. Marketing analytics empowers businesses to make smarter, data-driven decisions, enhance customer experiences, and drive growth by aligning marketing efforts with business objectives. Marketing Analytics essentially involves the study of the market from a statistical perspective and aligning your business to that statistical perspective. Measuring, controlling, and evaluating marketing performance to maximise effectiveness and optimise return on investment (ROI) is known as marketing analytics. It entails applying data-driven insights to create well-informed choices on allocating resources, methods, and marketing strategies. Marketing analytics measures the effectiveness of campaigns, forecasts future trends, and analyses consumer behaviour using various methods, approaches, and data sources. Marketing analytics involves analysing data to evaluate the effectiveness of marketing efforts and make data-driven decisions. It covers a range of activities, including tracking campaign performance, measuring customer behaviour, optimizing strategies, and predicting future trends. The goal is to maximize return on investment (ROI) and improve customer engagement. |
| customer retention cohort analysis: A Comprehensive Guide to Digital Marketing C. P. Kumar , A Comprehensive Guide to Digital Marketing is an all-encompassing resource that delves into the core aspects and advanced techniques of digital marketing. This book covers essential topics such as SEO, SEM, content marketing, and social media strategies, ensuring readers grasp both foundational concepts and cutting-edge practices. Each chapter, from leveraging AI in SEO to effective blogging and influencer marketing, is designed to equip professionals with practical tools and insights. Detailed guides on platforms like SEMrush and Google Analytics, coupled with chapters on mobile marketing, video content creation, and e-commerce strategies, make this book an invaluable asset for anyone looking to excel in the digital marketing landscape. |
| customer retention cohort analysis: Summary of Dan Olsen's The Lean Product Playbook Everest Media,, 2022-05-21T22:59:00Z Please note: This is a companion version & not the original book. Sample Book Insights: #1 Product-market fit is the process of determining if a product is well-suited for its market. It is one of the most important Lean Startup principles, and this playbook will teach you how to achieve it. #2 Product-market fit is when your product creates significant customer value. It is achieved when your product meets real customer needs and does so in a way that is better than the alternatives. #3 The Product-Market Fit Pyramid is a hierarchical model that decomposes product-market into its five key components. Each layer of the pyramid depends on the layer immediately beneath it. Product-market fit lies between the top and bottom sections of the pyramid. #4 The pyramid separates the market into its two components: the target customers and their needs. The needs layer is above the target customers layer in the model because it’s their needs that are relevant to achieving product-market fit. |
| customer retention cohort analysis: Google Firebase Android Developer Certification , 2024-10-26 Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| customer retention cohort analysis: API Analytics for Product Managers Deepa Goyal, Kin Lane, 2023-02-21 Research, strategize, market, and continuously measure the effectiveness of APIs to meet your SaaS business goals with this practical handbook Key FeaturesTransform your APIs into revenue-generating entities by turning them into productsMeet your business needs by improving the way you research, strategize, market, and measure resultsCreate and implement a variety of metrics to promote growthBook Description APIs are crucial in the modern market as they allow faster innovation. But have you ever considered your APIs as products for revenue generation? API Analytics for Product Managers takes you through the benefits of efficient researching, strategizing, marketing, and continuously measuring the effectiveness of your APIs to help grow both B2B and B2C SaaS companies. Once you've been introduced to the concept of an API as a product, this fast-paced guide will show you how to establish metrics for activation, retention, engagement, and usage of your API products, as well as metrics to measure the reach and effectiveness of documentation—an often-overlooked aspect of development. Of course, it's not all about the product—as any good product manager knows; you need to understand your customers' needs, expectations, and satisfaction too. Once you've gathered your data, you'll need to be able to derive actionable insights from it. This is where the book covers the advanced concepts of leading and lagging metrics, removing bias from the metric-setting process, and bringing metrics together to establish long- and short-term goals. By the end of this book, you'll be perfectly placed to apply product management methodologies to the building and scaling of revenue-generating APIs. What you will learnBuild a long-term strategy for an APIExplore the concepts of the API life cycle and API maturityUnderstand APIs from a product management perspectiveCreate support models for your APIs that scale with the productApply user research principles to APIsExplore the metrics of activation, retention, engagement, and churnCluster metrics together to provide contextExamine the consequences of gameable and vanity metricsWho this book is for If you're a product manager, engineer, or product executive charged with making the most of APIs for your SaaS business, then this book is for you. Basic knowledge of how APIs work and what they do is essential before you get started with this book, since the book covers the analytical side of measuring their performance to help your business grow. |
| customer retention cohort analysis: Amazon Interview Questions and Answers Chetan Singh, Amazon Interview Questions and Answers: The Guide book is a comprehensive resource designed to help job seekers prepare for their upcoming interviews at Amazon, one of the world's largest and most innovative companies. This guidebook covers a wide range of commonly asked Amazon interview questions for various positions at Amazon, including technical, leadership, amazon interview coding questions, and behavioral questions. Each question is accompanied by expertly crafted answers, giving job seekers a clear understanding of what to expect during their interview and how to effectively showcase their skills and experience. Beyond the Amazon interview questions and answers, this Amazon interview book also includes valuable tips and strategies on how to prepare for the interview, including researching the company, understanding the job requirements, and presenting oneself effectively. With these tips and expert guidance in hand, job seekers can confidently walk into their interviews feeling well-prepared and ready to stand out from the competition. Whether you're an experienced professional seeking to take the next step in your career or a new job seeker hoping to land your first position at Amazon, Amazon Job Interview Questions and Answers: The Complete Guide book is an essential resource that will help you ace your interview and secure your dream job at one of the world's most sought-after companies. |
| customer retention cohort analysis: Mastering Marketing: strategies for success in the digital age SAGAR SHINDE , 2023-05-30 Title: Mastering Marketing: Strategies for Success in the Digital Age Author: Sagar Shinde Description: In the fast-paced and ever-changing world of digital marketing, staying ahead of the competition is essential to achieving success. Mastering Marketing: Strategies for Success in the Digital Age is your comprehensive guide to navigating this dynamic landscape and unlocking the full potential of your marketing efforts. Written by renowned marketing expert Sagar Shinde, this book offers a deep dive into the strategies, tactics, and techniques that will empower you to craft compelling campaigns, engage your target audience, and drive tangible results in the digital realm. Whether you're a seasoned marketer or just starting out, this book is your roadmap to mastering the art of marketing in the digital age. Inside, you'll discover: 1. A solid foundation: Lay the groundwork for success by understanding the core principles and fundamentals of marketing in the digital era. Explore the customer journey, market segmentation, and brand positioning to create a strong marketing strategy. 2. Digital channels and platforms: Dive into the vast array of digital channels available to marketers today. Learn how to leverage social media, search engine optimization (SEO), content marketing, email marketing, and more to effectively reach and engage your target audience. 3. Data-driven decision making: Discover the power of analytics and data-driven insights in shaping your marketing strategies. Uncover techniques for gathering and analyzing data, and learn how to make informed decisions to optimize your campaigns and drive better results. 4. Cutting-edge trends and technologies: Stay ahead of the curve by exploring emerging trends and technologies shaping the future of digital marketing. From artificial intelligence (AI) and chatbots to influencer marketing and virtual reality (VR), uncover how to harness these tools to stay relevant and deliver innovative experiences to your audience. 5. Engaging storytelling: Learn the art of storytelling and how it can be used to captivate and connect with your target audience. Discover techniques for crafting compelling narratives and developing content that resonates in the digital landscape. With practical examples, real-world case studies, and actionable insights, Mastering Marketing equips you with the knowledge and skills needed to excel in the digital age. Whether you're a business owner, marketing professional, or aspiring marketer, this book will empower you to take your marketing strategies to new heights and drive success in the ever-evolving digital landscape. Get ready to unlock your full marketing potential and become a master in the art of marketing in the digital age with Mastering Marketing: Strategies for Success in the Digital Age by Sagar Shinde. |
| customer retention cohort analysis: Beyond the Clicks Saurabh Bisht, 2023-11-28 Unleash unparalleled success in SaaS sales with Beyond the Clicks: Practical Insights for Sustainable SaaS Growth.” This game-changing guide empowers sales professionals, entrepreneurs, and business leaders to dominate the fiercely competitive SaaS industry. From prospecting to sealing the deal and skyrocketing customer satisfaction, discover the art of building lasting relationships, crafting irresistible pitches, and outshining the competition. Packed with real-world examples and an unwavering focus on sustainable growth, this book is your ultimate ticket to exceptional achievements. Ignite your sales prowess and emerge as the undisputed SaaS sales champion. Success awaits! |
| customer retention cohort analysis: Growth Units Paul Orlando, 2020-09-03 How do businesses sustainably grow? Whether you're a startup founder trying to improve your odds of success, or a Fortune 100 businessperson looking for ways to optimize an already sustainable business, you will benefit from understanding the ways you acquire customers and generate revenue from them. This book can help. We demonstrate methods to assess and calculate Customer Acquisition Costs (CAC), Lifetime Value (LTV), and more. Looking at 15 case studies from a wide range of business types, we also show how metrics can vary depending on situation and goals. You will learn: - Ways to calculate Customer Acquisition Cost and Lifetime Value with additions like customer segments, cohorts, retention, and more (and why they can be imperfect methods). - How to manage the cost of growth along with potential value generated. - The difference between growing and scaling a business. - Why food delivery businesses with good unit economics shut down. - The difference between taxi and rideshare business models. - Why it made sense for data storage companies to launch too soon. - How varied business types, including mobility, consumer packaged goods, organized crime, art, subscriptions, mattress stores, food delivery, and more thrive or struggle because of these metrics. Written by Paul Orlando, who built and operated startup accelerators in Los Angeles, Hong Kong, and Rome, and who teaches at the University of Southern California, the book explains various approaches you can use in your own company as well as when you evaluate other businesses. The book is a direct, practical guide for startup founders, operators, and students of business. |
| customer retention cohort analysis: In Pursuit of The Trivial Gianfranco Cuzziol, 2024-06-29 Everybody seems to be an expert and wants to write a book to essentially do one of these things Promote themselves Promote their business Promote their bank balance They want to write a book about something. In Pursuit of The Trivial is different. Inspired by Jerry Seinfeld and George Costanza and a 'show about nothing', Gianfranco decided to write a book about nothing. Well not quite about nothing because after all he has been in the CRM and Data space for over 20 years both agency and client side, and wanted to share some of the useful things he has picked up on the way but perhaps in a slightly more engaging way. So don't be fooled by chapter titles such as Why are Basketball Players Tall? The Day I Stopped Eating Pizza for Six Months On Average Switzerland is Flat You might pick up a few tips around CRM, Personalisation, Customer Journey Planning and Data Strategy. There might be a few jokes, anecdotes and his mother's recipe for Lasagne - and to be honest that's worth the RRP on its own |
| customer retention cohort analysis: Medications for Opioid Use Disorder Save Lives National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Board on Health Sciences Policy, Committee on Medication-Assisted Treatment for Opioid Use Disorder, 2019-06-16 The opioid crisis in the United States has come about because of excessive use of these drugs for both legal and illicit purposes and unprecedented levels of consequent opioid use disorder (OUD). More than 2 million people in the United States are estimated to have OUD, which is caused by prolonged use of prescription opioids, heroin, or other illicit opioids. OUD is a life-threatening condition associated with a 20-fold greater risk of early death due to overdose, infectious diseases, trauma, and suicide. Mortality related to OUD continues to escalate as this public health crisis gathers momentum across the country, with opioid overdoses killing more than 47,000 people in 2017 in the United States. Efforts to date have made no real headway in stemming this crisis, in large part because tools that already existâ€like evidence-based medicationsâ€are not being deployed to maximum impact. To support the dissemination of accurate patient-focused information about treatments for addiction, and to help provide scientific solutions to the current opioid crisis, this report studies the evidence base on medication assisted treatment (MAT) for OUD. It examines available evidence on the range of parameters and circumstances in which MAT can be effectively delivered and identifies additional research needed. |
| customer retention cohort analysis: Understanding Market Segmentation , 2024-10-26 Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| customer retention cohort analysis: DAX Patterns Marco Russo, Alberto Ferrari, 2020-08-10 A pattern is a general, reusable solution to a frequent or common challenge. This book is the second edition of the most comprehensive collection of ready-to-use solutions in DAX, that you can use in Microsoft Power BI, Analysis Services Tabular, and Power Pivot for Excel. The book includes the following patterns: Time-related calculations, Standard time-related calculations, Month-related calculations, Week-related calculations, Custom time-related calculations, Comparing different time periods, Semi-additive calculations, Cumulative total, Parameter table, Static segmentation, Dynamic segmentation, ABC classification, New and returning customers, Related distinct count, Events in progress, Ranking, Hierarchies, Parent-child hierarchies, Like-for-like comparison, Transition matrix, Survey, Basket analysis, Currency conversion, Budget. |
| customer retention cohort analysis: ONLINE RETAIL CLUSTERING AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI Vivian Siahaan, Rismon Hasiholan Sianipar, 2023-07-09 In this project, we embarked on a comprehensive journey of exploring the dataset and conducting analysis and predictions in the context of online retail. We began by examining the dataset and performing RFM (Recency, Frequency, Monetary Value) analysis, which allowed us to gain valuable insights into customer purchase behavior. Using the RFM analysis results, we applied K-means clustering, a popular unsupervised machine learning algorithm, to group customers into distinct clusters based on their RFM values. This clustering approach helped us identify different customer segments within the online retail dataset. After successfully clustering the customers, we proceeded to predict the clusters for new customer data. To achieve this, we trained various machine learning models, including logistic regression, support vector machines (SVM), K-nearest neighbors (KNN), decision trees, random forests, gradient boosting, naive Bayes, extreme gradient boosting, light gradient boosting, and multi-layer perceptron. These models were trained on the RFM features and the corresponding customer clusters. To evaluate the performance of the trained models, we employed a range of metrics such as accuracy, recall, precision, and F1 score. Additionally, we generated classification reports to gain a comprehensive understanding of the models' predictive capabilities. In order to provide a user-friendly and interactive experience, we developed a graphical user interface (GUI) using PyQt. The GUI allowed users to input customer information and obtain real-time predictions of the customer clusters using the trained machine learning models. This made it convenient for users to explore and analyze the clustering results. The GUI incorporated visualizations such as decision boundaries, which provided a clear representation of how the clusters were separated based on the RFM features. These visualizations enhanced the interpretation of the clustering results and facilitated better decision-making. To ensure the availability of the trained models for future use, we implemented model persistence by saving the trained models using the joblib library. This allowed us to load the models directly from the saved files without the need for retraining, thus saving time and resources. In addition to the real-time predictions, the GUI showcased performance evaluation metrics such as accuracy, recall, precision, and F1 score. This provided users with a comprehensive assessment of the model's performance and helped them gauge the reliability of the predictions. To delve deeper into the behavior and characteristics of the models, we conducted learning curve analysis, scalability analysis, and performance curve analysis. These analyses shed light on the models' learning capabilities, their performance with varying data sizes, and their overall effectiveness in making accurate predictions. The entire process from dataset exploration to RFM analysis, clustering, model training, GUI development, and real-time predictions was carried out seamlessly, leveraging the power of Python and its machine learning libraries. This approach allowed us to gain valuable insights into customer segmentation and predictive modeling in the online retail domain. By combining data analysis, clustering, machine learning, and GUI development, we were able to provide a comprehensive solution for online retail businesses seeking to understand their customers better and make data-driven decisions. The developed system offered an intuitive interface and accurate predictions, paving the way for enhanced customer segmentation and targeted marketing strategies. Overall, this project demonstrated the effectiveness of integrating machine learning techniques with graphical user interfaces to provide a user-friendly and interactive platform for analyzing and predicting customer clusters in the online retail industry. |
| customer retention cohort analysis: Data Science with R Programming Basics Dr.Sudhakar.K, Mrs.Geethanjali.S.G, Mrs.Rashmi.D.M, Mrs.Sinchana K.P, 2024-08-13 Dr.Sudhakar.K, Associate Professor, Department of Artificial Intelligence & Data Science, NITTE Meenakshi Institute of Technology, Bangalore, Karnataka, India. Mrs.Geethanjali.S.G, Assistant Professor, Department of Computer Science & Engineering, DON BOSCO Institute of Technology, Bangalore, Karnataka, India. Mrs.Rashmi.D.M, Assistant Professor, Department of Computer Science & Engineering, DON BOSCO Institute of Technology, Bangalore, Karnataka, India. Mrs.Sinchana K.P, Assistant Professor, Department of Computer Science & Engineering, DON BOSCO Institute of Technology, Bangalore, Karnataka, India. |
| customer retention cohort analysis: Supply Chain Analytics Kurt Y. Liu, 2022-04-07 This innovative new core textbook, written by an experienced professor and practitioner in supply chain management, offers a business-focused overview of the applications of data analytics and machine learning to supply chain management. Accessible yet rigorous, this text introduces students to the relevant concepts and techniques needed for data analysis and decision making in modern supply chains and enables them to develop proficiency in a popular and powerful programming software. Suitable for use on upper-level undergraduate, postgraduate and MBA courses in supply chain management, it covers all of the major supply chain processes, including managing supply and demand, warehousing and inventory control, transportation and route optimization. Each chapter comes with practical real-world examples drawn from a range of business contexts, including Amazon and Starbucks, case study discussion questions, computer-assisted exercises and programming projects. |
| customer retention cohort analysis: Marketing Analytics Roadmap Jerry Rackley, 2015-05-30 Many managers view marketing as a creative endeavor, not something that is measurable or manageable by numbers. But today’s leaders in the C-suite demand greater accountability. They want to know that they are getting a return on their marketing investment. And to get that ROI number, you need analytics. This expectation is intimidating for the many sales and marketing managers who rely on marketing instincts, not metrics, to do their work. But Marketing Analytics Roadmap: Methods, Metrics, and Tools demonstrates that employing analytics isn't just a way to keep the CEO off your back. It improves marketing results and ensures marketers a seat at the table where big decisions get made. In this book, analytics expert Jerry Rackley shows you how to understand and implement a sound marketing analytics process that helps eliminate the guesswork about the results produced by your marketing efforts. The result? You will acquire—and keep—more customers. Even better, you'll find that an analytics process helps the entire organization make better decisions, and not just marketers. Marketing Analytics Roadmap explains: How to use analytics to create marketing and sales metrics that guide your actions and provide valuable feedback on your efforts How to structure and use dashboards to report marketing results How to put industry-leading analytics software and other tools to good use How Big Data is shaping the marketing analytics landscape Sales and marketing teams that master marketing analytics will find them a powerful servant that enables agility, raises effectiveness, and creates confidence. Marketing Analytics Roadmap shows you how to build a well-planned and executed marketing analytics strategy that will enhance the credibility of your marketing team and help you not only get a seat at the big-decisions table, but keep it once there. |
| customer retention cohort analysis: Growth Hacking For Dummies Anuj Adhiya, 2020-04-07 Hack your business growth the scientific way Airbnb. Uber. Spotify. To join the big fish in the disruptive digital shark tank you need to get beyond siloed sales and marketing approaches. You have to move ahead fast—with input from your whole organization—or die. Since the early 2010s, growth hacking culture has developed as the way to achieve this, pulling together multiple talents—product managers, data analysts, programmers, creatives, and yes, marketers—to build a lean, mean, iterative machine that delivers the swift sustainable growth you need to stay alive and beat the competition. Growth Hacking for Dummies provides a blueprint for building the machine from the ground-up, whether you’re a fledgling organization looking for ways to outperform big budgets and research teams, or an established business wanting to apply emerging techniques to your process. Written by a growth thought leader who learned from the original growth hacking gurus, you’ll soon be an expert in the tech world innovations that make this the proven route to the big time: iteration, constant testing, agile approaches, and flexible responses to your customers’ evolving needs. Soup to nuts: get a full overview of the growth hacking process and tools Appliance of science: how to build and implement concept-testing models Coming together: pick up best practices for building a cross-disciplinary team Follow the data: find out what your customers really want You know you can’t just stay still—start moving ahead by developing the growth hacking mindset that’ll help you win big and leave the competition dead in the water! |
| customer retention cohort analysis: Information Technology and Systems Álvaro Rocha, |
| customer retention cohort analysis: Pricing Decoded Danilo Zatta, Maciej Kraus, 2024-11-25 Pricing is a key priority of every company globally, as both customers and businesses grapple with ever more challenging economic conditions. Pricing Decoded is an authoritative but easy-to-read guide to support the transition to robust pricing to drive profitability. Renowned pricing experts Danilo Zatta and Maciej Kraus show organizations how to boost profitability and build a competitive advantage, transforming the way to set and manage prices. Case studies from the world’s leading pricing practitioners in both B2C and B2B organizations, such as Alcatel-Lucent, Asashi, Google, BP-Castrol, Unilever, Microsoft, Borealis, Hilton, Nike, MediaWorld, Philips Healthcare, Schneider Electric, DHL, Zalando, Zuora, Workday, Assa Abbloy, and Coor, are presented throughout. This book makes smart and innovative pricing more accessible and understandable for all. It provides a strong foundation in the concepts as well as the application in business, empowering you to judge monetization opportunities in a more effective way and ultimately make better decisions. The book is relevant to C-levels, managers, entrepreneurs, investors, as well as sales, marketing, and pricing managers, who want to learn more about topline potentials and monetization through pricing and achieve sustainable growth. |
consumer、customer、client 有何区别？ - 知乎
对于customer和consumer，我上marketing的课的时候区分过这两个定义。 customer behavior：a broad term that covers individual consumers who buy goods and services for their own use …
Consumer与customer有区别吗？具体作什么区别？ - 知乎
Mar 18, 2014 · 一般把 customer 翻译做 “客户“ 比如你是杜蕾斯的生产商，那么中国总代，上海曼伦商贸有限公司，就是你的customer，然后从曼伦进货的全家就是曼伦的customer，然后隔 …
Windows 10 business 和 consumer 中的专业版有什么不同？ - 知乎
Mar 14, 2020 · Windows10 有business editions 和 consumer editions 版。其中每个都有 专业工作站版，可这2个专业工作…
想问一下大家web of science文献检索点不动 只能用作者检索怎么 …
手机电脑打开都是这样 我想用文献检索 不想用作者检索啊啊啊啊啊
什么是CRM系统？它的作用是什么？ - 知乎
CRM（Customer Relationship Management），即客户关系管理系统.。 是指利用软件、硬件和网络技术，为企业建立一个客户信息收集、管理、分析和利用的信息系统。通俗地讲， CRM就 …
请问金融系统中提到的KYC是做什么用的？ - 知乎
KYC看着高端，其实我们每个人都经历过。例如，当你去银行开户的时候，都必须要提交身份证件，甚至有时候还要提交家庭住址证明。这便是一个最简单的KYC。(也叫做CIP - Customer …
什么是SCRM？为什么企业要做SCRM？ - 知乎
SCRM翻译后的全程是：Social Customer Relationship Management ，可以看到这里的“S”原来是“Social”，也就是“社交”的意思。 尽管只是多了一个S，却将原先CRM呈现的客户管理行为转 …
什么是跨境电商，你们了解多少？ - 知乎
跨境电子商务是指不同国度或地域的买卖双方经过互联网以邮件或者快递等方式通关，将传统贸易中的展现、洽谈和成交环节数字化，完成产品进口的的新型贸易方式，当前主流的跨境电商形 …
有大神公布一下Nature Communications从投出去到Online的审稿 …
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
新媒体的KOL、KOC是什么? - 知乎
KOC有双重身份，即Customer和Creator，KOC是消费者的同时也是创作者，是对消费者的消费决策起到关键作用的群体。 KOL与KOC在本质上截然不同，是两个群体。前者是推，而KOC是 …
consumer、customer、client 有何区别？ - 知乎
对于customer和consumer，我上marketing的课的时候区分过这两个定义。 customer behavior：a broad term that covers individual consumers who buy goods and services for their own use …
Consumer与customer有区别吗？具体作什么区别？ - 知乎
Mar 18, 2014 · 一般把 customer 翻译做 “客户“ 比如你是杜蕾斯的生产商，那么中国总代，上海曼伦商贸有限公司，就是你的customer，然后从曼伦进货的全家就是曼伦的customer，然后隔壁小张买了一盒和 …
Windows 10 business 和 consumer 中的专业版有什么不同…
Mar 14, 2020 · Windows10 有business editions 和 consumer editions 版。其中每个都有 专业工作站版，可这2个专业工作…
想问一下大家web of science文献检索点不动 只能用作者检索怎么办 …
手机电脑打开都是这样 我想用文献检索 不想用作者检索啊啊啊啊啊
什么是CRM系统？它的作用是什么？ - 知乎
CRM（Customer Relationship Management），即客户关系管理系统.。 是指利用软件、硬件和网络技术，为企业建立一个客户信息收集、管理、分析和利用的信息系统。通俗地讲， CRM就是帮助企业管理 …
