Machine-to-Machine Marketing M3) via Anonymous Advertising Apps Anywhere Anytime (A5)
Book information
Description
In today’s wireless environment, marketing is more frequently occurring at the server-to-device level—with 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: Why – Discusses the interactive environments and explains how M3 can be deployed How – Describes which technologies and solution providers can be used for executing M3 Checklists – Contains lists of techniques, strategies, technologies, and solution providers for M3 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
Similar books
Data mining your website
1999 · PDF
Data Mining Mobile Devices
2013 · PDF
Machine learning forensics for law enforcement, security, and intelligence
2011 · PDF
Data mining your website
1999 · EPUB
Investigative Data Mining for Security and Criminal Detection, First Edition
2002 · PDF
Investigative Data Mining for Security and Criminal Detection
2003 · CHM
MySQL® Notes for Professionals book
2018 · PDF
MrExcel 2022: Boosting Excel
2022 · PDF