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

429 Pages·2012·5.62 MB·English

by  Jesus Mena

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

Machine-to-Machine Marketing
(M3) via Anonymous Advertising
Apps Anywhere Anytime (A5)
JESUS MENA
CRC Press
Taylor & Francis Group
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To Lefty

Contents
Introduction������������������������������������������������������������������������������������������������xvii
 1  Why?�������������������������������������������������������������������������������������������������������1
M3 and A5...................................................................................................1
What, Where, and How to Monetize Device Behaviors ................................8
Building A5s ..............................................................................................11
Search Marketing versus Social Marketing via A5s .....................................16
Google, Facebook, and Twitter Places .........................................................23
M3 via GPS and Wi-Fi Triangulation .........................................................32
You Are Where You Will Be .......................................................................37
Data Mining Devices .................................................................................43
 2  How������������������������������������������������������������������������������������������������������47
M3 via Machine Learning ..........................................................................47
Autonomously Clustering Device Behaviors ...............................................52
Real-Time Demographic Networks ............................................................56
Geolocation Triangulation Networks ..........................................................58
Deep Packet Inspection for M3 ..................................................................60
Mob M3 ....................................................................................................63
Data Aggregation and Sharing Networks ...................................................66
Twitter Is Organic TV for M3 ....................................................................72
Blogs Are Studios for M3 ...........................................................................75
Dialing Up iPhone and Android A5 Numbers ...........................................76
Mobile Cookie A5s for M3 ........................................................................79
Mobile Advertising Networks for A5 .........................................................84
M3 via Voice Recognition .........................................................................90
Facial Recognition ......................................................................................93
Mobile Rich Media for M3 and A5 ............................................................93
Mobile Ad Exchanges for A5 ......................................................................96
Anonymous Consumer Categories for M3 .................................................99
Digital Fingerprinting for A5 and M3 ......................................................102
vii
viii  ◾  Contents
 3  Checklists�������������������������������������������������������������������������������������������113
Why M3 Checklists? ................................................................................113
Checklist for Clustering Words and Consumer Behaviors ........................114
Checklist of Clustering Software ..............................................................114
Checklist of Text Analytical Software .......................................................120
Checklist of Classification Software ..........................................................127
Checklist of Streaming Analytical Software for M3 ..................................130
A5 Checklist ............................................................................................133
M3 Privacy Notification Checklist ...........................................................135
Checklist of M3 Marketing Terminology, Techniques,
and Technologies ....................................................................136
Checklist of Web A5s Software and Services .............................................139
Ad Network M3 Checklist .......................................................................146
M3 Marketers Web Checklist ...................................................................153
Checklist of Social Metric Consultancies for M3 ......................................155
Social Marketing Agencies’ Checklist for M3 ...........................................159
Recommendation Engines’ Checklist for M3 ...........................................163
Data Harvesters’ Checklist for A5 ............................................................166
WOM Techniques and Companies’ Checklist for M3 ..............................168
Checklist of Mobile Website Developers for A5s ......................................174
Checklist for Constructing A5s ................................................................178
Checklist of A5 Developers ......................................................................178
Checklist of A5 Marketing Companies .....................................................179
M3 Marketer’s Checklist ..........................................................................180
Checklist of Digital M3 and A5 Agencies .................................................180
Final M3 Marketer Checklist ...................................................................183
 4  CaseStudies����������������������������������������������������������������������������������������191
Examples of M3 and A5 in Action ...........................................................191
WizRule Case Study .................................................................................191
Groupon Case Study ................................................................................195
Living Social Case Study ..........................................................................196
Zynga Case Study.....................................................................................199
Tippr Case Study ....................................................................................200
BuyWithMe Case Study ...........................................................................201
Hyundai Case Study ................................................................................202
Instapaper Case Study .............................................................................204
Kony Solutions Case Study .....................................................................204
Urban Airship Case Study .......................................................................206
Foursquare Case Studies ...........................................................................207
Gowalla Case Studies ...............................................................................209
Hipstamatic Case Study ...........................................................................210