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This book presents the foundations of using analytics from the laboratory, social media platforms, and the web. The authors cover key topics including analytics strategy, data gathering approaches, data preprocessing, data quality assessment, analytical methods, tools, and validation methods. The book includes chapters explaining web analytics, social media analytics, and how to create an analytics strategy. The authors also cover on data sources, such as online surveys, crowdsourcing, eye tracking, mouse tracking, social media APIs, search logs, and analytics triangulation. The book also discusses analytical tools for social media analytics, search analytics, persona analytics, user studies, and website analytics. The authors conclude by examining the validity of online analytics.
Data-driven personas are a significant advancement in the fields of human-centered informatics and human-computer interaction. Data-driven personas enhance user understanding by combining the empathy inherent with personas with the rationality inherent in analytics using computational methods. Via the employment of these computational methods, the data-driven persona method permits the use of large-scale user data, which is a novel advancement in persona creation. A common approach for increasing stakeholder engagement about audiences, customers, or users, persona creation remained relatively unchanged for several decades. However, the availability of digital user data, data science algorithms, and easy access to analytics platforms provide avenues and opportunities to enhance personas from often sketchy representations of user segments to precise, actionable, interactive decision-making tools—data-driven personas! Using the data-driven approach, the persona profile can serve as an interface to a fully functional analytics system that can present user representation at various levels of information granularity for more task-aligned user insights. We trace the techniques that have enabled the development of data-driven personas and then conceptually frame how one can leverage data-driven personas as tools for both empathizing with and understanding of users. Presenting a conceptual framework consisting of (a) persona benefits, (b) analytics benefits, and (c) decision-making outcomes, we illustrate applying this framework via practical use cases in areas of system design, digital marketing, and content creation to demonstrate the application of data-driven personas in practical applied situations. We then present an overview of a fully functional data-driven persona system as an example of multi-level information aggregation needed for decision making about users. We demonstrate that data-driven personas systems can provide critical, empathetic, and user understanding functionalities for anyone needing such insights.
Written by an in-the-trenches practitioner, this step-by-step guide shows you how to implement a successful Web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on a path to gaining actionable insights from your analytics efforts. Discover how to move beyond clickstream analysis, why qualitative data should be your focus, and more insights and techniques that will help you develop a customer-centric mindset without sacrificing your company’s bottom line. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
This lecture presents an overview of the Web analytics process, with a focus on providing insight and actionable outcomes from collecting and analyzing Internet data. The lecture first provides an overview of Web analytics, providing in essence, a condensed version of the entire lecture. The lecture then outlines the theoretical and methodological foundations of Web analytics in order to make obvious the strengths and shortcomings of Web analytics as an approach. These foundational elements include the psychological basis in behaviorism and methodological underpinning of trace data as an empirical method. These foundational elements are illuminated further through a brief history of Web analytics from the original transaction log studies in the 1960s through the information science investigations of library systems to the focus on Websites, systems, and applications. Following a discussion of on-going interaction data within the clickstream created using log files and page tagging for analytics of Website and search logs, the lecture then presents a Web analytic process to convert these basic data to meaningful key performance indicators in order to measure likely converts that are tailored to the organizational goals or potential opportunities. Supplementary data collection techniques are addressed, including surveys and laboratory studies. The overall goal of this lecture is to provide implementable information and a methodology for understanding Web analytics in order to improve Web systems, increase customer satisfaction, and target revenue through effective analysis of user-Website interactions. Table of Contents: Understanding Web Analytics / The Foundations of Web Analytics: Theory and Methods / The History of Web Analytics / Data Collection for Web Analytics / Web Analytics Fundamentals / Web Analytics Strategy / Web Analytics as Competitive Intelligence / Supplementary Methods for Augmenting Web Analytics / Search Log Analytics / Conclusion / Key Terms / Blogs for Further Reading / References
Supercharge your marketing strategy with data analytics In Data-First Marketing: How to Compete & Win in the Age of Analytics, distinguished authors Miller and Lim demystify the application of data analytics to marketing in any size business. Digital transformation has created a widening gap between what the CEO and business expect marketing to do and what the CMO and the marketing organization actually deliver. The key to unlocking the true value of marketing is data – from actual buyer behavior to targeting info on social media platforms to marketing’s own campaign metrics. Data is the next big battlefield for not just marketers, but also for the business because the judicious application of data analytics will create competitive advantage in the Age of Analytics. Miller and Lim show marketers where to start by leveraging their decades of experience to lay out a step-by-step process to help businesses transform into data-first marketing organizations. The book includes a self-assessment which will help to place your organization on the Data-First Marketing Maturity Model and serve as a guide for which steps you might need to focus on to complete your own transformation. Data-First Marketing: How to Compete & Win in the Age of Analytics should be used by CMOs and heads of marketing to institute a data-first approach throughout the marketing organization. Marketing staffers can pick up practical tips for incorporating data in their daily tasks using the Data-First Marketing Campaign Framework. And CEOs or anyone in the C-suite can use this book to see what is possible and then help their marketing teams to use data analytics to increase pipeline, revenue, customer loyalty – anything that drives business growth.
Audience and media analytics is more important now than ever, and this latest volume in the cutting-edge BEA Electronic Media Research Series collects some of the top scholars working with big data and analytics today. These chapters describe the development and help define media analytics as an academic discipline and professional practice. Understanding audiences is integral to creating and distributing media messages and the study of media analytics requires knowing a range of skills including research methods, the necessary tools available, familiarity with statistical procedures, and a mindset to provide insights and apply findings. This book summarizes the insights of analytics practitioners regarding the current state of legacy media analysis and social media analytics. Topics covered include the evolution of media technologies, the teaching of media measurement and analytics, the transition taking place in media research, and the use of media analytics to answer meaningful questions, drive content creation, and engage with audiences.
Have you ever wondered how some brands effortlessly dominate social media while others struggle to gain visibility? In today’s fast-paced digital landscape, harnessing the power of artificial intelligence (AI) is no longer just an option; it is essential for success. This guide dives deep into the intersection of AI and social media marketing, revealing how you can leverage cutting-edge technologies to transform your online presence and drive significant revenue. Explore the revolutionary impact of AI on social media marketing and discover key trends that are shaping the future. From automating content creation and audience engagement to optimizing advertising strategies, this resource provides actionable insights to elevate your marketing game. Understand why integrating AI is crucial for generating income online and learn how businesses and creators are monetizing their social platforms effectively. Discover essential AI tools designed to streamline your marketing efforts, enhance customer engagement, and analyze performance metrics. With a focus on practical applications, you will learn how to automate tasks, create compelling content, and use data-driven insights to refine your strategies. Whether you are an entrepreneur, marketer, or content creator, these insights will empower you to make smarter decisions and boost your earnings. Delve into platform-specific strategies for maximizing profits on popular social media channels. Gain insights on how to optimize your presence on Facebook, Instagram, TikTok, and more by utilizing AI to drive engagement, enhance targeting, and increase conversion rates. With practical tips and techniques, you will learn how to monetize your efforts through ads, e-commerce, influencer marketing, and more. In addition to practical applications, this guide addresses the ethical considerations of using AI in social media marketing. Understand the importance of data privacy and transparency in building trust with your audience, ensuring long-term loyalty and success. Prepare to unlock new revenue streams and elevate your marketing strategy by embracing the potential of AI in social media. This comprehensive resource equips you with the knowledge and tools necessary to navigate the evolving landscape of digital marketing, ensuring you remain competitive and profitable. Embrace AI, transform your marketing efforts, and achieve the success you’ve always envisioned.
Now in its seventh edition, 'Digital Marketing' provides comprehensive, practical guidance on how companies can get the most out of digital media and technology to meet their marketing goals.
Leverage Google Analytics to make data-driven decisions to shape your marketing strategy KEY FEATURES _ Learn how to navigate the Google Analytics interface and reports. _ Understand the working of the Google Analytics platform. _ Understanding ÔTraffic SourcesÕ in Google Analytics. _ Learn how to use Segments in Google Analytics. _ Understand how Cross-Device reporting works in Google Analytics. DESCRIPTION This book will help you learn everything that you need to know about Google Analytics. We will start by setting up the account and updating the settings. Then, we will go through the main reports in Google Analytics will dive deep into the analysis. We will then analyze the users, their behavior, and their sources. This analysis will improve your business and website results. We will also go through the fundamentals of relating Google Analytics data to your marketing strategy. We will explore live examples of analysis with real Ecommerce data and learn approaches to analyze our data. At the end of the book, we will go through the Conversions section in Google Analytics. By the end of the book, you will be able to make informative decisions based on data related to your website visitors. Ê WHAT WILL YOU LEARNÊ _ Learn how toÊset-up a Google Analytics account. _ Understand howÊto read all the reports in Google Analytics. _ Perform complex analysis based on the data in the reports.Ê _ Learn how to relate the Google Analytics data to your marketing strategy. _ Read and analyze Conversion reports based on real Ecommerce data. WHO THIS BOOK IS FORÊ This book is designed for business owners and webmasters who want to use Google Analytics to make better decisions and improve their sales. TABLE OF CONTENTS 1. Google Analytics Step-by-step setup. 2. Google Analytics reports explained. 3. 7PÕs of Marketing and Google Analytics. 4. Your audience Ð your business. 5. The heartbeat of the Google Analytics: Acquisition & Behavior Reports. 6. Conversions. The final goal.