Products related to Analytics:
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Digital Analytics for Marketing
This second edition of Digital Analytics for Marketing provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy.It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective. Demonstrating how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions.The authors cover timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions.The book’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box. Filled with engaging, interactive exercises and interesting insights from industry experts, this book will appeal to undergraduate and postgraduate students of digital marketing, online marketing, and analytics. Online support materials for this book include an instructor’s manual, test bank, and PowerPoint slides.
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Applied Marketing Analytics Using Python
It is vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use of real-world datasets, case studies and Python, this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools, with a balanced mix of technical coverage alongside marketing theory and frameworks.Supporting online resources include datasets and software codes and solutions as well as PowerPoint slides, a teaching guide and a testbank.This book is essential reading for advanced level marketing students and practitioners who want to become cutting-edge marketers. Dr Gokhan Yildirim is an Associate Professor of Marketing at Imperial College Business School, London. Dr Raoul V. Kübler is an Associate Professor of Marketing at ESSEC Business School, Paris.
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Applied Marketing Analytics Using R
Marketing has become increasingly data-driven in recent years as a result of new emerging technologies such as AI, granular data availability and ever-growing analytics tools.With this trend only set to continue, it’s vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use of real-world datasets, case studies and R (a free statistical package), this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools, with a balanced mix of technical coverage alongside marketing theory and frameworks.Chapters include learning objectives, figures, tables and questions to help facilitate learning. Supporting online resources are available to instructors to support teaching, including datasets and software codes and solutions (R Markdowns, HTML files) as well as PowerPoint slides, a teaching guide and a testbank. This book is essential reading for advanced level marketing students and marketing practitioners who want to become cutting-edge marketers. Dr. Gokhan Yildirim is an Associate Professor of Marketing at Imperial College Business School, London. Dr. Raoul V. Kübler is an Associate Professor of Marketing at ESSEC Business School, Paris.
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Marketing Analytics : Based on First Principles
All customers differ. All customers change. All competitors react. All resources are limited. Robert W. Palmatier’s dynamic First Principles of Marketing framework provides the structure for this research-based, action-orientated guide to organizing analytics tools, marketing models and methodologies. When should you use a specific technique in data analytics?How does each new analytics technique improve performance?Which techniques are worth time and investment to implement? As organizations prioritize digital growth to better connect with customers, it is vital that you are able to respond confidently to these questions, enabling you to utilize marketing analytics to better understand your business and increase revenue. Marketing Analytics will help you to:· Learn how to contextualize models and statistical analysis within the foundational principles of marketing through the use of a problem-centric framework. · Understand technical analyses by engaging with a pertinent range of vivid examples, and a running case study to contextualize practical, jargon-free descriptions. · Embark on an applied learning pathway with a comprehensive companion website including datasets and walk-through videos on challenging tasks: bloomsbury.pub/marketing-analytics. · Take a software-agnostic approach to learning, enhanced by the provision of examples in free, open-source R and Tableau software. Authored by world-leading experts in marketing strategy, Marketing Analytics is the ideal textbook for advanced undergraduate, postgraduate and MBA students of marketing, and practitioners seeking to direct effective strategy from an analysis-based evidential approach.
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Are Instagram analytics apps legal?
Yes, Instagram analytics apps are legal as long as they comply with Instagram's terms of service and data privacy regulations. These apps provide users with insights and data about their Instagram account performance, such as follower growth, engagement metrics, and audience demographics. It is important to choose a reputable analytics app that prioritizes user privacy and data security to ensure compliance with legal requirements.
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Where can one study Biomedical Analytics?
One can study Biomedical Analytics at various universities and colleges that offer programs in health informatics, bioinformatics, or biomedical data science. Some well-known institutions that offer programs in Biomedical Analytics include Stanford University, Harvard University, Johns Hopkins University, and the University of California, Los Angeles. Additionally, there are online programs and professional certifications available for those looking to specialize in Biomedical Analytics.
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How can I access external YouTube analytics?
To access external YouTube analytics, you can use YouTube's Analytics API. This API allows you to retrieve data and metrics from your YouTube channel and videos programmatically. You will need to set up a project in the Google Developers Console, obtain API credentials, and then use these credentials to make requests to the Analytics API. This will allow you to access detailed analytics data such as views, watch time, and audience demographics for your YouTube content.
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What is the question for evaluation in Google Analytics?
The question for evaluation in Google Analytics is typically focused on understanding user behavior and website performance. It could be something like "What are the top pages on my website in terms of traffic and engagement?" or "How are users finding my website and what are the most effective acquisition channels?" These questions help businesses and website owners to analyze and optimize their online presence for better performance and user experience.
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Marketing Analytics : A Machine Learning Approach
With businesses becoming ever more competitive, marketing strategies need to be more precise and performance oriented.Companies are investing considerably in analytical infrastructure for marketing.This new volume, Marketing Analytics: A Machine Learning Approach, enlightens readers on the application of analytics in marketing and the process of analytics, providing a foundation on the concepts and algorithms of machine learning and statistics.The book simplifies analytics for businesses and explains its uses in different aspects of marketing in a way that even marketers with no prior analytics experience will find it easy to follow, giving them to tools to make better business decisions. This volume gives a comprehensive overview of marketing analytics, incorporating machine learning methods of data analysis that automates analytical model building.The volume covers the important aspects of marketing analytics, including segmentation and targeting analysis, statistics for marketing, marketing metrics, consumer buying behavior, neuromarketing techniques for consumer analytics, new product development, forecasting sales and price, web and social media analytics, and much more. This well-organized and straight-forward volume will be valuable for marketers, managers, decision makers, and research scholars, and faculty in business marketing and information technology and would also be suitable for classroom use.
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Data Analytics in Marketing, Entrepreneurship, and Innovation
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences.Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics.It features case studies that provide realistic examples of applications.This multifaceted examination of data analytics looks at: Business analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing.Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery.Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques.Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
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Marketing Analytics Roadmap : Methods, Metrics, and Tools
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 effortsHow to structure and use dashboards to report marketing resultsHow to put industry-leading analytics software and other tools to good useHow Big Data is shaping the marketing analytics landscapeSales 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.
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Marketing Analytics : Data-Driven Techniques with Microsoft Excel
Helping tech-savvy marketers and data analysts solve real-world business problems with Excel Using data-driven business analytics to understand customers and improve results is a great idea in theory, but in today's busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data.This expert book offers the perfect solution. Written by data analysis expert Wayne L. Winston, this practical resource shows you how to tap a simple and cost-effective tool, Microsoft Excel, to solve specific business problems using powerful analytic techniques—and achieve optimum results. Practical exercises in each chapter help you apply and reinforce techniques as you learn. Shows you how to perform sophisticated business analyses using the cost-effective and widely available Microsoft Excel instead of expensive, proprietary analytical toolsReveals how to target and retain profitable customers and avoid high-risk customersHelps you forecast sales and improve response rates for marketing campaignsExplores how to optimize price points for products and services, optimize store layouts, and improve online advertisingCovers social media, viral marketing, and how to exploit both effectively Improve your marketing results with Microsoft Excel and the invaluable techniques and ideas in Marketing Analytics: Data-Driven Techniques with Microsoft Excel.
Price: 41.99 £ | Shipping*: 0.00 £
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Can someone explain to me what Google Analytics is?
Google Analytics is a web analytics service offered by Google that allows website owners to track and analyze their website traffic. It provides valuable insights into how users interact with a website, including information about the number of visitors, their demographics, the pages they visit, and how they found the website. This data can help website owners make informed decisions about their marketing strategies, content, and user experience to improve their website's performance. Overall, Google Analytics is a powerful tool for understanding and optimizing website traffic.
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How can the Google Analytics cookie be a first-party cookie?
The Google Analytics cookie can be a first-party cookie because it is set by the website domain that the user is visiting. When a user visits a website that uses Google Analytics, the website sets the Google Analytics cookie on the user's browser. This means that the cookie is considered a first-party cookie because it is set by the same domain that the user is interacting with. As a result, the cookie can be used to track and analyze user behavior on that specific website.
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How can one use plausible analytics with a web app on a server?
Plausible analytics can be used with a web app on a server by integrating the Plausible tracking code into the web app's codebase. This tracking code will then collect data on user interactions and behavior on the web app. The data collected can be analyzed to gain insights into user engagement, popular features, and areas for improvement. By using Plausible analytics, developers can make data-driven decisions to optimize the web app for better user experience and performance.
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How do I design a cover page for art?
When designing a cover page for art, consider using a visually striking image that represents the theme or subject of the art. You can also incorporate elements such as bold typography, color schemes, and textures that complement the artwork and create a cohesive design. Additionally, think about the overall mood or feeling you want to convey with the cover page and use design elements to evoke that emotion. Lastly, make sure to balance the visual elements and negative space to create a clean and impactful design.
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