Social Media Analytics in Predicting Consumer Behavior PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Social Media Analytics in Predicting Consumer Behavior PDF full book. Access full book title Social Media Analytics in Predicting Consumer Behavior by Selay Ilgaz Sumer. Download full books in PDF and EPUB format.
Author: Selay Ilgaz Sumer
Publisher: CRC Press
ISBN: 100088449X
Category : Business & Economics
Languages : en
Pages : 205
Get Book Here
Book Description
Information is very important for businesses. Businesses that use information correctly are successful while those that don’t, decline. Social media is an important source of data. This data brings us to social media analytics. Surveys are no longer the only way to hear the voice of consumers. With the data obtained from social media platforms, businesses can devise marketing strategies. It provides a better understanding consumer behavior. As consumers are at the center of all business activities, it is unrealistic to succeed without understanding consumption patterns. Social media analytics is useful, especially for marketers. Marketers can evaluate the data to make strategic marketing plans. Social media analytics and consumer behavior are two important issues that need to be addressed together. The book differs in that it handles social media analytics from a different perspective. It is planned that social media analytics will be discussed in detail in terms of consumer behavior in the book. The book will be useful to the students, businesses, and marketers in many aspects.
Author: Selay Ilgaz Sumer
Publisher: CRC Press
ISBN: 100088449X
Category : Business & Economics
Languages : en
Pages : 205
Get Book Here
Book Description
Information is very important for businesses. Businesses that use information correctly are successful while those that don’t, decline. Social media is an important source of data. This data brings us to social media analytics. Surveys are no longer the only way to hear the voice of consumers. With the data obtained from social media platforms, businesses can devise marketing strategies. It provides a better understanding consumer behavior. As consumers are at the center of all business activities, it is unrealistic to succeed without understanding consumption patterns. Social media analytics is useful, especially for marketers. Marketers can evaluate the data to make strategic marketing plans. Social media analytics and consumer behavior are two important issues that need to be addressed together. The book differs in that it handles social media analytics from a different perspective. It is planned that social media analytics will be discussed in detail in terms of consumer behavior in the book. The book will be useful to the students, businesses, and marketers in many aspects.
Author: Nripendra P. Rana
Publisher: Springer Nature
ISBN: 3030243745
Category : Business & Economics
Languages : en
Pages : 337
Get Book Here
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: Omer Artun
Publisher: John Wiley & Sons
ISBN: 1119037336
Category : Business & Economics
Languages : en
Pages : 217
Get Book Here
Book Description
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: Musiolik, Thomas Heinrich
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 464
Get Book Here
Book Description
Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.
Author: Gabor Szabo
Publisher: John Wiley & Sons
ISBN: 1118824857
Category : Computers
Languages : en
Pages : 352
Get Book Here
Book Description
Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Social Media Data Mining and Analytics isn't just another book on the business case for social media. Rather, this book provides hands-on examples for applying state-of-the-art tools and technologies to mine social media - examples include Twitter, Wikipedia, Stack Exchange, LiveJournal, movie reviews, and other rich data sources. In it, you will learn: The four key characteristics of online services-users, social networks, actions, and content The full data discovery lifecycle-data extraction, storage, analysis, and visualization How to work with code and extract data to create solutions How to use Big Data to make accurate customer predictions How to personalize the social media experience using machine learning Using the techniques the authors detail will provide organizations the competitive advantage they need to harness the rich data available from social media platforms.
Author: Shailendra Kadre
Publisher: Apress
ISBN: 1484200438
Category : Computers
Languages : en
Pages : 565
Get Book Here
Book Description
Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.
Author: Keikhosrokiani, Pantea
Publisher: IGI Global
ISBN: 1668441705
Category : Business & Economics
Languages : en
Pages : 484
Get Book Here
Book Description
The emergence of new technologies within the industrial revolution has transformed businesses to a new socio-digital era. In this new era, businesses are concerned with collecting data on customer needs, behaviors, and preferences for driving effective customer engagement and product development, as well as for crucial decision making. However, the ever-shifting behaviors of consumers provide many challenges for businesses to pinpoint the wants and needs of their audience. The Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era focuses on the concepts, theories, and analytical techniques to track consumer behavior change. It provides multidisciplinary research and practice focusing on social and behavioral analytics to track consumer behavior shifts and improve decision making among businesses. Covering topics such as consumer sentiment analysis, emotional intelligence, and online purchase decision making, this premier reference source is a timely resource for business executives, entrepreneurs, data analysts, marketers, advertisers, government officials, social media professionals, libraries, students and educators of higher education, researchers, and academicians.
Author: El Archi, Youssef
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 324
Get Book Here
Book Description
In the age of digital transformation, the tourism industry faces a pressing challenge: balancing the growing demand for travel with the imperative to protect the environment and preserve local cultures. The rise of digital platforms has revolutionized how people plan, book, and experience travel, but it has also intensified concerns about overtourism, cultural commodification, and environmental degradation. Without thoughtful intervention, these trends threaten to undermine the destinations travelers seek to explore. Promoting Responsible Tourism With Digital Platforms offers a comprehensive solution by exploring how digital platforms can be leveraged to promote responsible travel practices. By examining case studies, theoretical frameworks, and the latest technological advancements, the book provides actionable insights for policymakers, industry professionals, and travelers alike. It serves as a roadmap for integrating responsible tourism principles into the digital landscape, ensuring that tourism remains sustainable and beneficial for all stakeholders.
Author: A. Arun Kumar
Publisher: Cambridge Scholars Publishing
ISBN: 1036400247
Category : Reference
Languages : en
Pages : 263
Get Book Here
Book Description
This book is a transformative guide catering to undergraduate and graduate students and research scholars, providing a comprehensive understanding of critical concepts in modern analytics. In today’s fast-paced business landscape, data utilization is paramount for success. This book delves into tools and techniques facilitating the conversion of raw data into actionable insights, covering descriptive, predictive, and prescriptive analytics. Beginning with foundational principles, it ensures accessibility for readers of all backgrounds. Real-world case studies seamlessly woven throughout the text illustrate successful business analytics implementations, showcasing how organizations make strategic decisions. This precise and insightful guide equips readers with the knowledge to optimize processes, making it an indispensable resource for navigating the dynamic realm of business analytics.
Author: Adryan Rachman
Publisher: Penerbit NEM
ISBN: 623115405X
Category : Business & Economics
Languages : en
Pages : 94
Get Book Here
Book Description
Crafting Excellence in Service and Guest Relations for F&B Retail is a comprehensive guidebook tailored for professionals and entrepreneurs in the food and beverage retail industry. This book delves into the intricacies of providing exceptional service and building lasting relationships with customers in the competitive F&B retail landscape. The book begins by exploring the evolution of customer feedback in retail, tracing its historical trajectory and highlighting its significance in shaping industry practices. It then delves into the fundamentals of customer satisfaction index (CSI) and net promoter score (NPS), offering insights into their methodologies, advantages, and limitations. Drawing upon real-world case studies and success stories, the book demonstrates the combined effectiveness of CSI and NPS in providing comprehensive insights into customer satisfaction and loyalty levels. Readers will gain practical knowledge on integrating these metrics to obtain a holistic view of customer sentiment and drive business growth. Furthermore, the book examines best practices for implementing CSI and NPS in retail management, offering guidance on survey design, data analysis, and action planning. It emphasizes the importance of incorporating these metrics into regular business processes and aligning them with broader strategic objectives to foster a culture of customer-centricity.
