Machine-to-Machine Marketing (M3) via Anonymous Advertising Apps Anywhere Anytime (A5)

Informationen zum Autor Jesús Mena is a former Internal Revenue Service Artificial Intelligence specialist and the author of numerous data mining, web analytics, law enforcement, homeland security, forensic, and marketing books. Mena has also written dozens of articles and consulted with several businesses and governmental agencies. He has over 20 yearsâ™ experience in expert systems, rule induction, decision trees, neural networks, self-organizing maps, regression, visualization, and machine learning and has worked on data mining projects involving clustering, segmentation, classification, profiling and personalization with government, web, retail, insurance, credit card, financial and healthcare data sets. He has worked, written, and lectured on various behavioral analytics and social networking techniques, personalization mechanisms, web and mobile networks, real-time psychographics, tracking and profiling engines, log analyzing tools, packet sniffers, voice and text recognition software, geolocation and behavioral targeting systems, real-time streaming analytical software, ensemble techniques, and digital fingerprinting. Zusammenfassung In todayâ™s wireless environment, marketing is more frequently occurring at the server-to-device levelâwith that device being anything from a laptop or phone to a TV or car. In this real-time digital marketplace, human attributes such as income, marital status, and age are not the most reliable attributes for modeling consumer behaviors. A more effective approach is to monitor and model the consumerâ™s device activities and behavioral patterns.Machine-to-Machine Marketing (M3) via Anonymous Advertising Apps Anywhere Anytime (A5) examines the technologies, software, networks, mechanisms, techniques, and solution providers that are shaping the next generation of mobile advertising. Discussing the interactive environments that comprise the web, it explains how to deploy Machine-to-Machine Marketing (M3) and Anonymous Advertising Apps Anywhere Anytime (A5). The book is organized into four sections:Why â Discusses the interactive environments and explains how M3 can be deployedHow â Describes which technologies and solution providers can be used for executing M3Checklists â Contains lists of techniques, strategies, technologies, and solution providers for M3Case Studies â Illustrates M3 and A5 implementations in companies across various industriesProviding wide-ranging coverage that touches on data mining, the web, social media, marketing, and mobile communications, the bookâ™s case studies show how M3 and A5 are being implemented at JP Morgan Chase, Hyundai, Dunkinâ™ Donuts, New York Life, Twitter, Best Buy, JetBlue, IKEA, Urban Outfitters, JC Penney, Sony, eHarmony, and NASCAR just to name a few. These case studies provide you with the real-world insight needed to market effectively and profitably well into the future. Each company, network, and resource mentioned in the book can be accessed through the hundreds of links included on the bookâ™s companion site:www.jesusmena.com Inhaltsverzeichnis Introduction Why?M3 and A5What, Where, and How to Monetize Device BehaviorsBuilding A5sSearch Marketing versus Social Marketing via A5sGoogle, Facebook, and Twitter PlacesM3 via GPS and Wi-Fi TriangulationYou Are Where You Will BeData Mining DevicesHowM3 via Machine LearningClustering Autonomously Device BehaviorsReal-Time Demographic NetworksGeolocation Triangulation NetworksDeep Packet Inspection for M3Mob M3Data Aggregation and Sharing NetworksTwitter Is Organic TV for M3Blogs Are Studios for M3Dialing Up iPhone and Android A5 NumbersMobile Cookie A5s for M3Mobile Advertising Networks for A5M3 via Voice RecognitionFacial RecognitionMobile Rich Media for M3 and A5Mobile Ad Exchanges for A5Anonymous Consumer Categories for M3Digital Fingerprinting for A5 and M3ChecklistsWhy M3 Checklists?Checklist for Clustering Words...

Auteur
Jesus Mena is a former Internal Revenue Service Artificial Intelligence specialist and the author of numerous data mining, web analytics, law enforcement, homeland security, forensic, and marketing books. Mena has also written dozens of articles and consulted with several businesses and governmental agencies. He has over 20 years' experience in expert systems, rule induction, decision trees, neural networks, self-organizing maps, regression, visualization, and machine learning and has worked on data mining projects involving clustering, segmentation, classification, profiling and personalization with government, web, retail, insurance, credit card, financial and healthcare data sets. He has worked, written, and lectured on various behavioral analytics and social networking techniques, personalization mechanisms, web and mobile networks, real-time psychographics, tracking and profiling engines, log analyzing tools, packet sniffers, voice and text recognition software, geolocation and behavioral targeting systems, real-time streaming analytical software, ensemble techniques, and digital fingerprinting.

Texte du rabat

This book presents technologies, software, networks, mechanisms, techniques, and solution providers for advertising now and in the future. It discusses the interactive environments that consist of the web, as well as how to deploy M3 (Machine-to-Machine Marketing) and A5 (Anonymous Advertising Apps Anywhere Anytime). It explains what technologies and solutions providers can be used for executing M3 and provides lists of strategies, technologies, and solutions providers for the marketing technique. Case studies include examples of M3 and A5 implementations.

Résumé

In today's wireless environment, marketing is more frequently occurring at the server-to-device levelwith that device being anything from a laptop or phone to a TV or car. In this real-time digital marketplace, human attributes such as income, marital status, and age are not the most reliable attributes for modeling consumer behaviors. A more effective approach is to monitor and model the consumer's device activities and behavioral patterns.

Machine-to-Machine Marketing (M3) via Anonymous Advertising Apps Anywhere Anytime (A5) examines the technologies, software, networks, mechanisms, techniques, and solution providers that are shaping the next generation of mobile advertising. Discussing the interactive environments that comprise the web, it explains how to deploy Machine-to-Machine Marketing (M3) and Anonymous Advertising Apps Anywhere Anytime (A5). The book is organized into four sections:

1. Why Discusses the interactive environments and explains how M3 can be deployed
2. How Describes which technologies and solution providers can be used for executing M3
3. Checklists Contains lists of techniques, strategies, technologies, and solution providers for M3
4. Case Studies Illustrates M3 and A5 implementations in companies across various industries Providing wide-ranging coverage that touches on data mining, the web, social media, marketing, and mobile communications, the book's case studies show how M3 and A5 are being implemented at JP Morgan Chase, Hyundai, Dunkin' Donuts, New York Life, Twitter, Best Buy, JetBlue, IKEA, Urban Outfitters, JC Penney, Sony, eHarmony, and NASCAR just to name a few. These case studies provide you with the real-world insight needed to market effectively and profitably well into the future.

Each company, network, and resource mentioned in the book can be accessed through the hundreds of links included on the book's companion site: www.jesusmena.com

Contenu
Why. How. Checklists. Case studies.