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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 Metrics : Leverage Analytics and Data to Optimize Marketing Strategies
Stop feeling overwhelmed by data and start using it to its full potential, to create an agile and forward-looking strategy that enables customer-centric marketing, builds your brand and develops product strategies. Many brands talk about creating a marketing strategy powered by data, analytics and metrics.Yet too often they're still overwhelmed by data, or unsure of how to use it to create a flexible and future-focused strategy that doesn't just validate what's happened in the past.Marketing Metrics takes readers through all the stages of implementing a data-first strategy, from early-stage adoption to more advanced customization.Featuring examples from a range of organizations including Coca-Cola and Mercedes-Benz, it shows how to create a strategy which leverages consumer data for customer-centric marketing, establishes the ROI of channels and campaigns, strengthens brands and creates data-driven product strategies. Covering the range of new global laws that impact consumer privacy and data collection and usage, Marketing Metrics shows how to use data in a non-invasive, secure and ethical way.Also showing how to communicate critical data to the right stakeholders and the skills of the data-savvy marketer, this is a clear and jargon-free guide to creating a future-focused and data-powered marketing strategy.
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Which cooling design is better?
The better cooling design depends on the specific requirements and constraints of the system. Air cooling is generally more cost-effective and easier to implement, making it suitable for most consumer-grade electronics. On the other hand, liquid cooling is more efficient at dissipating heat and can be more effective for high-performance systems such as gaming PCs or servers. Ultimately, the choice between the two designs should be based on the specific needs of the system in terms of cooling performance, space constraints, and budget.
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Which cooling design does the RX 7900XT have?
The RX 7900XT features a triple-fan cooling design. This design typically includes three fans that work together to efficiently cool the graphics card by circulating air and dissipating heat. The triple-fan design is known for providing effective cooling performance, especially during intense gaming sessions or other demanding tasks.
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What cooling design does the RX 7900XT have?
The RX 7900XT features a triple-fan cooling design, which helps to efficiently dissipate heat from the GPU. This design allows for better thermal performance and helps to keep the graphics card running at optimal temperatures, even under heavy workloads or gaming sessions. The three fans work together to provide effective cooling while maintaining a relatively quiet operation, making it a suitable choice for high-performance gaming setups.
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Which type of cooling, air cooling or water cooling, is better?
The choice between air cooling and water cooling depends on the specific needs and preferences of the user. Air cooling is generally more cost-effective and easier to install, making it a popular choice for casual users. On the other hand, water cooling is more efficient at dissipating heat and can provide better cooling performance, making it ideal for high-performance systems or overclocking. Ultimately, the decision between air cooling and water cooling comes down to the user's budget, technical expertise, and cooling requirements.
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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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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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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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What type of cooling is better: air cooling or water cooling?
The choice between air cooling and water cooling depends on the specific needs and preferences of the user. Air cooling is generally more cost-effective and easier to install, making it a popular choice for casual users. On the other hand, water cooling is more efficient at dissipating heat and can provide better performance, making it a preferred option for high-performance systems and overclocking. Ultimately, the decision between air cooling and water cooling should be based on the specific requirements and budget of the user.
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Which type of cooling is better: water cooling or air cooling?
The choice between water cooling and air cooling depends on the specific needs and preferences of the user. Water cooling systems are generally more efficient at dissipating heat and can offer better performance, especially for overclocking. However, they are also more complex to install and maintain, and can be more expensive. On the other hand, air cooling is simpler and more cost-effective, and can be sufficient for most users' needs. Ultimately, the decision between water cooling and air cooling should be based on the specific requirements and budget of the user.
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Which type of cooling do you prefer: water cooling or air cooling?
I prefer water cooling because it is generally more efficient at dissipating heat compared to air cooling. Water cooling systems also tend to be quieter and can provide better temperature control for overclocking. Additionally, water cooling allows for more flexibility in terms of customization and aesthetics with options for different colored coolant and lighting effects.
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Water cooling or air cooling in 2024?
In 2024, water cooling is likely to be the preferred choice for high-performance systems due to its superior cooling capabilities compared to air cooling. Water cooling systems are more efficient at dissipating heat, allowing for better overclocking potential and overall performance. Additionally, water cooling systems are becoming more user-friendly and easier to install, making them a popular choice among enthusiasts and gamers looking to maximize their system's performance.
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