Introduction To Algorithmic Marketing
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Introduction To Algorithmic Marketing
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Author : Ilya Katsov
language : en
Publisher:
Release Date : 2017-12-02
Introduction To Algorithmic Marketing written by Ilya Katsov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-02 with Computers categories.
A comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. The book covers the main areas of marketing that require programmatic micro-decisioning - targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.
Algorithmic Marketing And Eu Law On Unfair Commercial Practices
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Author : Federico Galli
language : en
Publisher: Springer Nature
Release Date : 2022-08-30
Algorithmic Marketing And Eu Law On Unfair Commercial Practices written by Federico Galli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-30 with Law categories.
Artificial Intelligence (AI) systems are increasingly being deployed by marketing entities in connection with consumers’ interactions. Thanks to machine learning (ML) and cognitive computing technologies, businesses can now analyse vast amounts of data on consumers, generate new knowledge, use it to optimize certain processes, and undertake tasks that were previously impossible. Against this background, this book analyses new algorithmic commercial practices, discusses their challenges for consumers, and measures such developments against the current EU legislative framework on consumer protection. The book adopts an interdisciplinary approach, building on empirical findings from AI applications in marketing and theoretical insights from marketing studies, and combining them with normative analysis of privacy and consumer protection in the EU. The content is divided into three parts. The first part analyses the phenomenon of algorithmic marketing practices and reviews the main AI and AI-related technologies used in marketing, e.g. Big data, ML and NLP. The second part describes new commercial practices, including the massive monitoring and profiling of consumers, the personalization of advertising and offers, the exploitation of psychological and emotional insights, and the use of human-like interfaces to trigger emotional responses. The third part provides a comprehensive analysis of current EU consumer protection laws and policies in the field of commercial practices. It focuses on two main legal concepts, their shortcomings, and potential refinements: vulnerability, understood as the conceptual benchmark for protecting consumers from unfair algorithmic practices; manipulation, the substantive legal measure for drawing the line between fair and unfair practices.
How And What Marketing Algorithms Think
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Author : Roberto Brognara
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2022-10-27
How And What Marketing Algorithms Think written by Roberto Brognara and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-27 with Business & Economics categories.
This book argues that the apparent omnipotence of algorithms today is not what it seems, particularly, in marketing, where they actually offer less than they could. Considering the reasons behind this, it also notes that Big Data has relaunched a kind of data glorification and automated procedures that, culturally, marketing has already recognized and overcome at least once. This first generation of “programmatic marketing”, which the giants of the digital economy launched 15 years ago and consolidated worldwide, can be significantly improved, with corresponding business results as well, but, first, as this book shows, we need to know which strategic and cultural boundaries impact Big Data.
Ai In Marketing Sales And Service
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Author : Peter Gentsch
language : en
Publisher: Springer
Release Date : 2018-10-22
Ai In Marketing Sales And Service written by Peter Gentsch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-22 with Computers categories.
AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors.
Algorithmic Thinking
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Author : Daniel Zingaro
language : en
Publisher: No Starch Press
Release Date : 2020-12-15
Algorithmic Thinking written by Daniel Zingaro and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-15 with Computers categories.
A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations The union-find data structure to answer questions about connections in a social network or determine who are friends or enemies The heap data structure to determine the amount of money given away in a promotion The hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionary NOTE: Each problem in this book is available on a programming-judge website. You'll find the site's URL and problem ID in the description. What's better than a free correctness check?
Data Analytics For Marketing
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Author : Guilherme Diaz-Bérrio
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-10
Data Analytics For Marketing written by Guilherme Diaz-Bérrio and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-10 with Computers categories.
Conduct data-driven marketing research and analysis with hands-on examples using Python by leveraging open-source tools and libraries Key Features Analyze marketing data using proper statistical techniques Use data modeling and analytics to understand customer preferences and enhance strategies without complex math Implement Python libraries like DoWhy, Pandas, and Prophet in a business setting with examples and use cases Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost marketing professionals are familiar with various sources of customer data that promise insights for success. There are extensive sources of data, from customer surveys to digital marketing data. Moreover, there is an increasing variety of tools and techniques to shape data, from small to big data. However, having the right knowledge and understanding the context of how to use data and tools is crucial. In this book, you’ll learn how to give context to your data and turn it into useful information. You’ll understand how and where to use a tool or dataset for a specific question, exploring the "what and why questions" to provide real value to your stakeholders. Using Python, this book will delve into the basics of analytics and causal inference. Then, you’ll focus on visualization and presentation, followed by understanding guidelines on how to present and condense large amounts of information into KPIs. After learning how to plan ahead and forecast, you’ll delve into customer analytics and insights. Finally, you’ll measure the effectiveness of your marketing efforts and derive insights for data-driven decision-making. By the end of this book, you’ll understand the tools you need to use on specific datasets to provide context and shape your data, as well as to gain information to boost your marketing efforts.What you will learn Understand the basic ideas behind the main statistical models used in marketing analytics Apply the right models and tools to a specific analytical question Discover how to conduct causal inference, experimentation, and statistical modeling with Python Implement common open source Python libraries for specific use cases with immediately applicable code Analyze customer lifetime data and generate customer insights Go through the different stages of analytics, from descriptive to prescriptive Who this book is for This book is for data analysts and data scientists working in a marketing team supporting analytics and marketing research, who want to provide better insights that lead to data-driven decision-making. Prior knowledge of Python, data analysis, and statistics is required to get the most out of this book.
Algorithmic Aspects Of Machine Learning
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Author : Ankur Moitra
language : en
Publisher: Cambridge University Press
Release Date : 2018-09-27
Algorithmic Aspects Of Machine Learning written by Ankur Moitra and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Computers categories.
Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.
Algorithmic Problem Solving
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Author : Roland Backhouse
language : en
Publisher: John Wiley & Sons
Release Date : 2011-10-24
Algorithmic Problem Solving written by Roland Backhouse and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-24 with Computers categories.
An entertaining and captivating way to learn the fundamentals of using algorithms to solve problems The algorithmic approach to solving problems in computer technology is an essential tool. With this unique book, algorithm expert Roland Backhouse shares his four decades of experience to teach the fundamental principles of using algorithms to solve problems. Using fun and well-known puzzles to gradually introduce different aspects of algorithms in mathematics and computing. Backhouse presents a readable, entertaining, and energetic book that will motivate and challenge students to open their minds to the algorithmic nature of problem solving. Provides a novel approach to the mathematics of problem solving focusing on the algorithmic nature of problem solving Uses popular and entertaining puzzles to teach you different aspects of using algorithms to solve mathematical and computing challenges Features a theory section that supports each of the puzzles presented throughout the book Assumes only an elementary understanding of mathematics
The Modern Ai Marketer
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Author : Pam Didner
language : en
Publisher: Pam Didner
Release Date : 2020-02-21
The Modern Ai Marketer written by Pam Didner and has been published by Pam Didner this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-21 with Business & Economics categories.
NOTE FROM AUTHOR: This book was written prior to the release of ChatGPT. For the most up-to-date insights, please consider purchasing the latest books in the AI Modern Marketer Series: In the GPT Era and Guide to Gen AI Prompts. In these two books, you'll understand AI's implications on Marketing and discover a list of effective sales and marketing prompts you can use immediately. Thank YOU- Pam ------------- The Modern AI Marketer will take you on a journey starting with the history of AI, AI applications in modern marketing, and how to drive AI initiatives at work. It also includes useful resources such as books, podcasts, and blogs to further expand your AI knowledge. You will see multiple use cases such as how to apply them as a valuable marketing or sales enablement marketing management tool. This eBook is for marketers, and sales professionals, who work directly in or support marketing strategy development, outbound marketing, demand generation, content marketing, account-based marketing, and sales enablement. If you don't know much about AI and what to know what make of it as a marketer and sales professional, check this book out!