November 2009


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Within the analyst world the past year has been a dichotomy in the land of blogging. Whereas we have seen a surge in the number of analysts that have taken to this medium, it is contrasted with a decrease from the recognised ‘leaders’ in the frequency of which they post.

This new ranking system has fundamentally evolved since the last version to take into account the seismic shifts in the way people communicate online. The key changes relate to inbound links such as from Twitter as well as well as a combined Yahoo  / Google (3-month date limited) approach.

Whenever these lists are published, there are several points that always get raised which I will address now…

  1. This blog is not from an analyst. The argument as to whom is an analyst or a consultant is becoming largely moot. In my opinion if someone is independent and directly influences technology procurement then they are an analyst. I know this will cause a huge amount of disagreement but as an outsider looking in this is the way I see the market. This is not to say that some analysts have different strengths over others, it is more a case that I think as an AR pro, I need to monitor the lot of you.
  2. The blog is written by multiple authors. Some blogs have several analysts writing them whereas others do not. The merits of a single blog author is something that I personally favour as this allows me to understand the tone of blog without having to understand the many personalities that are associated with it. Regardless, for this table, my view has not been to argue this but merely to present the data.
  3. It is irrelevant showing all the blogs as I am only interested in a specific topic – bingo, that is exactly right. My suggestion to all AR pros is to identify which of your analysts are on this and only look at those. This list compiled from the newly updated analyst blog directory on Tekrati does not see to micro-segment but merely to list all blogs regardless of their speciality.
  4. Hey – you have forgotten to include this blog. Please let me know the name and if I will include it as an edit.
  5. Isn’t this just like TweetLevel but for blogs? Yep, this algorthim is part of a larger project to fully understand infleunce and engagement on the web. This methodology is part of BlogLevel.
  6. Will you be producing a league table for those on Twitter? Yes, next week.

Without further ado, congrats to everyone who is included and especially those who have managed to make the top 50 – this is an outstanding achievement. Of course, a huge pat on the back to ex-Forrester and now Altimeter analyst, Jeremiah Owyang for showing everyone how to combine blogs and twitter to tremendous effect.

Rank Blog Name image image image image image image
1 Web Strategy by Jeremiah 14.4 5.7 12.0 24.0 27.5 83.6
2 Compete Blog 14.4 4.8 9.3 19.4 14.7 62.7
3 Workplace Learning Today 12.0 4.1 7.5 14.0 24.9 62.4
4 James Governor’s MonkChips 14.4 5.1 7.7 17.5 13.8 58.4
5 Virtually Speaking 16.8 4.4 6.6 8.7 21.7 58.3
6 Service-Oriented Architecture 16.8 4.8 8.7 14.2 13.7 58.2
7 StorageMojo 12.0 5.2 8.7 14.0 17.2 57.1
8 Storage Bits 16.8 4.4 9.6 0.0 26.4 57.1
9 Greenmonk Associates 14.4 4.5 6.9 13.1 16.7 55.6
10 Customer Experience Matters 12.0 4.5 8.0 17.5 13.4 55.3
11 People Over Process 14.4 4.6 7.3 16.4 11.4 54.1
12 Chilmark Research 12.0 4.1 7.7 14.4 15.9 54.1
13 Collaborative Thinking 14.4 4.7 7.5 14.1 13.3 53.9
14 Column 2 by Sandy Kemsley 12.0 4.4 9.1 12.4 15.4 53.3
15 DBMS2 – DataBase Management System Services 12.0 4.3 7.2 15.3 14.5 53.2
16 Dean Bubley’s Disruptive Wireless 12.0 4.3 6.5 15.8 13.8 52.4
17 A Software Insider’s Point of View 12.0 4.3 8.0 15.1 13.0 52.3
18 CMS Watch Trends and Features 14.4 3.4 3.2 20.0 10.4 51.4
19 James Bach’s Blog 9.6 4.5 7.7 17.4 11.1 50.2
20 Hitwise Intelligence 14.4 4.9 0.0 16.4 14.5 50.1
21 Deal Architect 12.0 3.9 10.2 11.8 12.2 50.0
22 GoMo News 12.0 4.8 10.3 11.1 11.3 49.5
23 IDC eXchange 14.4 3.8 5.5 14.7 11.0 49.4
24 Message 12.0 4.4 9.6 16.3 6.4 48.7
25 Identity and Privacy Strategies Blog 12.0 3.9 7.7 12.4 12.5 48.5
26 Outside Innovation 12.0 4.4 1.6 19.5 11.0 48.5
27 Forrester’s Interactive Marketing Blog 12.0 4.8 10.4 16.4 4.7 48.2
28 451 CAOS Theory 14.4 4.6 9.7 14.0 5.3 47.8
29 Gartner – Jim Sinur 12.0 3.2 5.0 11.8 15.8 47.8
30 Music Industry Blog 12.0 3.2 4.5 12.7 15.1 47.5
31 Enterprise 2.0 Blog 14.4 5.9 8.4 13.6 5.2 47.4
32 Brandon Hall Analyst Blog – Janet Clarey 12.0 4.7 5.0 14.2 11.3 47.2
33 Local Onliner 12.0 4.6 5.7 12.8 11.9 47.0
34 Securosis Blog 12.0 3.6 9.5 14.2 7.7 46.9
35 Forrester Blog For Information andKM Professionals 12.0 4.7 6.8 13.4 9.4 46.2
36 Forrester Blog for Consumer Product Strategy Professionals 12.0 3.6 9.5 10.8 10.3 46.2
37 Gartner – John Pescatore 12.0 3.4 6.6 11.8 12.3 46.1
38 Business Process and Applications Commentary 12.0 3.8 7.8 11.1 11.2 45.9
39 Local Media Blog 12.0 4.4 8.0 14.4 6.8 45.7
40 Always On Real-Time Access 9.6 4.4 6.4 14.7 10.5 45.5
41 Enterprise Anti-Matter 12.0 3.9 4.8 12.4 12.3 45.4
42 George F. Colony’s Blog: Counterintuitive 12.0 4.0 5.9 13.0 10.4 45.3
43 Vendorprisey 12.0 4.7 4.5 16.4 7.7 45.2
44 VideoNuze 12.0 4.3 8.2 13.2 7.4 45.0
45 Forrester Product Management Blog 12.0 4.1 6.1 13.4 9.5 45.0
46 Collaboration and Content Strategies Blog 12.0 2.7 7.4 12.0 10.6 44.7
47 Gartner – Allen Weiner 12.0 3.0 5.3 10.4 13.7 44.4
48 ThreatChaos 9.6 4.1 6.1 13.4 11.2 44.3
49 isen.blog 14.4 5.0 5.7 7.8 11.1 44.0
50 Market Strategies for IT Suppliers 9.6 3.9 4.8 9.1 16.5 43.8
51 Application Platform Strategies Blog 12.0 0.0 7.3 13.1 11.4 43.8
52 Gartner – Andrea Di Maio 12.0 3.0 9.3 11.4 7.4 43.2
53 Bryan Chapman 12.0 3.8 3.2 10.9 12.8 42.7
54 Data Center Strategies Blog 12.0 3.0 5.9 12.3 9.4 42.5
55 Gartner – Nick Jones 12.0 3.7 5.3 10.6 10.9 42.4
56 Contentblogger 14.4 4.0 4.8 12.7 6.5 42.3
57 Contentblogger(TM) – News Commentary 14.4 4.0 4.8 12.7 6.5 42.3
58 ThinkBalm – Immersive Internet Insights and Expertise 12.0 3.4 6.9 4.3 15.5 41.9
59 Gartner – Jeffrey Mann 12.0 2.3 0.0 9.9 17.4 41.5
60 tecosystems 14.4 4.2 0.0 17.0 5.8 41.4
61 Text Technologies 12.0 4.1 2.5 13.6 9.3 41.4
62 Yankee Group Blog 12.0 3.8 5.7 12.9 7.0 41.4
63 Gartner – Kristin Moyer 12.0 3.1 3.2 10.1 13.0 41.3
64 IT Infrastructure and Operations 12.0 4.0 4.8 11.3 9.1 41.2
65 Web Globalization Blog 12.0 3.9 3.2 11.3 10.6 40.9
66 New Communications Review 12.0 4.1 2.5 11.8 10.5 40.8
67 Forrester – The Future Of Agencies Blog 12.0 3.7 4.5 11.4 9.2 40.8
68 Cutter Blog 12.0 3.5 4.8 15.9 4.6 40.7
69 Gartner – Tom Bittman 12.0 3.7 6.6 13.0 5.5 40.7
70 Local Mobile Search 7.2 3.2 8.5 12.8 9.0 40.6
71 Gartner – Jim Holincheck 12.0 2.2 2.5 9.6 13.9 40.2
72 Deborah Schultz 12.0 4.0 3.7 12.4 8.0 40.1
73 Supply Chain Matters 9.6 4.3 3.2 10.5 12.4 40.0
74 BlogERP – Jim Holincheck’s HCM Software Blog 12.0 3.1 2.5 11.6 10.7 39.9
75 Gilbane Group Blog 14.4 4.2 1.6 11.8 7.8 39.8
76 Groundswell 0.0 5.1 0.0 17.0 17.7 39.8
77 Brandon Hall Analyst Blog – Gary Woodill 12.0 2.8 2.5 10.5 11.9 39.7
78 Forrester Blog for Customer Intelligence Professionals 0.0 2.5 3.2 17.9 16.1 39.7
79 Greg’s Storage IO Blog 9.6 3.3 3.2 11.0 12.5 39.6
80 Global Watchtower 12.0 3.9 5.9 12.6 5.1 39.5
81 Gartner – Neil MacDonald 12.0 2.9 5.0 10.3 9.2 39.4
82 Gartner – Thomas Otter 12.0 3.1 2.5 10.5 11.0 39.1
83 VisionMobile blog 12.0 3.8 6.1 12.5 4.7 39.1
84 Analytics Evolution 9.6 3.3 1.6 10.0 14.6 39.1
85 Gartner – Ray Valdes 12.0 2.0 0.0 9.9 15.1 39.0
86 HDTV Almanac 9.6 6.0 10.5 6.9 6.0 39.0
87 Gartner – Mark McDonald 12.0 2.4 4.1 9.5 10.9 38.9
88 The Enterprise System Spectator 12.0 4.5 4.5 12.2 5.5 38.8
89 BuddeBlog 12.0 3.6 2.5 8.9 11.6 38.6
90 Gartner – Greg Young 12.0 2.6 3.2 11.2 9.4 38.4
91 Gartner – Kathy Harris 12.0 2.2 1.6 9.7 12.9 38.4
92 Travel Technology 9.6 4.0 0.0 13.0 11.7 38.2
93 IT Blog Watch 14.4 5.0 0.0 12.4 6.1 37.9
94 Gartner Blog by Mike McGuire 12.0 2.1 1.6 9.2 12.9 37.8
95 The Future of Enterprise Software 12.0 4.1 3.2 9.5 8.9 37.6
96 View from Forrester 16.8 3.8 5.0 7.1 4.8 37.5
97 BriefingsDirect Transcripts 12.0 3.9 8.7 8.1 4.9 37.5
98 Gartner – French Caldwell 12.0 1.9 2.5 8.8 12.2 37.4
99 451 Take on information management, Too much information 14.4 3.4 1.6 13.1 4.9 37.3
100 Javelin Strategy and Research 14.4 3.6 0.0 13.6 5.7 37.3
101 Forrester: Application Dev & Prog Man. Profs 12.0 3.7 4.8 9.7 7.2 37.3
102 Judith Hurwitz’ Weblog 9.6 3.5 0.0 12.5 11.6 37.2
103 Gartner – Mark Driver 12.0 2.1 0.0 10.0 12.9 37.0
104 Gartner – Lydia Leong 12.0 3.3 3.2 10.7 7.6 36.8
105 Teblog 9.6 4.2 0.0 9.9 13.2 36.8
106 Gartner – Anthony Bradley 12.0 2.5 4.1 11.2 6.8 36.6
107 Opus Research 9.6 2.1 4.5 7.5 13.0 36.6
108 NPD Group Blog 14.4 3.7 4.1 10.4 4.1 36.6
109 Security and Risk Management Strategies Blog 12.0 0.0 3.7 11.2 9.7 36.5
110 The Guidewire 12.0 3.5 1.6 10.3 9.0 36.4
111 Kelsey Group Blogs 12.0 0.0 1.6 14.3 8.5 36.4
112 Spire Security Viewpoint 12.0 3.5 2.5 14.3 4.0 36.3
113 The Brampton Factor 14.4 1.0 0.0 18.2 2.8 36.3
114 Tech – Surf – Blog 9.6 3.8 6.2 10.6 6.0 36.2
115 The Hot Aisle 9.6 4.6 2.5 11.0 8.5 36.2
116 Gartner – Whit Andrews 12.0 3.2 1.6 10.2 9.2 36.1
117 The Outsourcing Blog Horses for Sources 14.4 5.0 0.0 11.5 5.3 36.0
118 Peter O’Kelly’s Reality Check 12.0 4.5 0.0 11.4 8.1 36.0
119 Gartner – Jim Lundy 12.0 1.9 0.0 8.8 13.3 36.0
120 Altimeter Group 0.0 3.0 6.9 13.7 12.3 35.9
121 Gartner – Tom Austin 12.0 1.8 2.5 9.4 10.1 35.8
122 Gartner – Mark Raskino 12.0 1.9 0.0 9.1 12.6 35.6
123 Forrester Blog For Enterprise Architecture Professionals 12.0 2.8 2.5 10.0 8.3 35.5
124 Gartner – Jeff Roster 12.0 2.1 0.0 9.2 12.2 35.4
125 Out of the Box 7.2 4.0 0.0 9.6 14.6 35.4
126 DisplaySearch Blog 12.0 3.7 3.7 11.2 4.6 35.2
127 THINK IT Services 12.0 3.8 3.7 9.7 5.9 35.0
128 kirkk.com 7.2 2.9 7.3 13.3 4.1 34.8
129 Parks Associates 12.0 4.0 0.0 12.6 6.3 34.8
130 Pattern Finder 9.6 3.8 1.6 10.4 9.4 34.8
131 Health Content Advisors 9.6 2.4 5.3 8.5 8.7 34.4
132 Gartner – Andrew White 12.0 1.8 1.6 10.5 8.5 34.4
133 Forrester: eBusiness & Channel Strategy Pros 12.0 3.2 4.8 9.8 4.5 34.3
134 Ron Shevlin’s Marketing Whims 12.0 4.5 0.0 15.1 2.6 34.2
135 Gartner – Brian Prentice 12.0 2.4 6.1 9.7 4.0 34.1
136 The Pervasive Datacenter 14.4 2.5 0.0 10.5 6.6 34.0
137 Gartner – Michael Maoz 12.0 4.2 1.6 0.0 16.0 33.8
138 Gil Yehuda’s Enterprise 2.0 Blog 7.2 4.1 6.4 3.3 12.9 33.8
139 Z Trek – The Alan Zeichick Weblog 9.6 3.9 3.7 10.9 5.7 33.8
140 The TEC Blog 9.6 3.5 3.7 10.9 6.1 33.8
141 Enterprise Search Blog 14.4 4.0 0.0 10.6 4.7 33.8
142 Gartner – Nick Gall 12.0 2.4 0.0 10.6 8.7 33.7
143 Jon Arnold’s Blog 12.0 4.7 3.7 7.4 5.9 33.6
144 All Aboard 12.0 2.8 0.0 12.2 6.6 33.6
145 Business Continuity – Pandemic Threat 14.4 4.1 1.6 7.9 5.6 33.5
146 James Kobielus’ Blog 12.0 3.6 5.0 8.2 4.3 33.2
147 Enterprise Mobility Matters 9.6 3.8 5.7 9.0 4.7 32.9
148 Security and Risk Management 12.0 4.0 0.0 11.3 5.5 32.8
149 Gartner – Frank Kenney 12.0 2.9 0.0 10.4 7.5 32.7
150 Analyst Xpress 12.0 2.5 3.2 10.8 4.3 32.7
151 Michael Fauscette 9.6 3.5 2.5 7.1 10.0 32.7
152 Laurie McCabe’s Blog 9.6 3.2 2.5 6.7 10.5 32.6
153 Plausible Deniability 12.0 3.3 2.5 11.4 3.4 32.6
154 Supernova Hub 12.0 4.3 7.1 3.8 5.3 32.5
155 Osterman Research Blog 9.6 3.9 0.0 10.0 8.8 32.4
156 Richi Blog 7.2 4.0 0.0 12.2 8.9 32.2
157 Executive Advisory Blog 12.0 2.6 2.5 8.0 6.8 32.0
158 Corporate Integrity, LLC 12.0 3.6 3.2 9.7 3.3 31.8
159 The Real Truth about Technology and IT 9.6 2.3 4.1 9.0 6.6 31.6
160 Ceci N’est Pas Un Bob 12.0 4.0 2.5 11.1 1.8 31.4
161 IDEAS Insights 9.6 2.9 5.0 8.8 4.8 31.1
162 Gartner – Andrew Frank 12.0 2.8 2.5 10.6 3.1 31.1
163 KnowledgeForward 7.2 2.9 4.8 11.1 5.1 31.0
164 Karen Hobert’s Connecting Dots 12.0 3.8 3.7 7.6 3.9 30.9
165 Forrester: Sourcing and Vendor Management Pros 12.0 3.5 0.0 8.2 7.2 30.9
166 Werblog 14.4 4.8 0.0 11.6 0.0 30.8
167 Gartner – Daryl Plummer 12.0 3.7 0.0 12.6 2.5 30.8
168 XML Technologies and Content Strategies 12.0 2.6 3.2 10.5 2.4 30.7
169 Gartner – David M. Smith 12.0 2.1 0.0 8.3 8.1 30.6
170 Gartner – Cameron Haight 12.0 2.8 0.0 9.9 5.9 30.6
171 Supply Chain Reaction 12.0 3.8 2.5 6.4 5.8 30.5
172 Brandon Hall Analyst Blog – Richard Nantel 12.0 3.8 0.0 11.1 3.6 30.5
173 Forrester Blog for IT Leaders in Asia Pacific 12.0 2.5 0.0 8.2 7.5 30.2
174 Attic Dust 12.0 0.0 4.8 3.8 9.6 30.2
175 Robin Bloor’s Blog: have Mac will blog 9.6 3.2 0.0 10.5 6.8 30.0
176 Gartner – Debbie Wilson 12.0 3.8 0.0 10.0 4.2 30.0
177 Irwin Lazar’s Real-time Blog 12.0 4.3 1.6 7.7 4.2 29.9
178 Gartner – Scott Nelson 12.0 2.0 0.0 3.8 11.8 29.7
179 Ferris Research 9.6 3.4 0.0 9.5 7.1 29.5
180 Richard Nantel 12.0 3.8 0.0 11.1 2.6 29.5
181 BriefingsDirect 12.0 4.1 8.4 0.0 4.7 29.2
182 Click 12.0 3.1 3.2 10.0 1.0 29.2
183 Consider the Source 12.0 3.5 1.6 7.4 4.8 29.2
184 Globalization Blog 12.0 3.7 0.0 9.1 4.4 29.2
185 Unified-View 12.0 4.3 0.0 8.7 3.8 28.7
186 Brandon Hall Analyst Blog – Tom Werner 12.0 2.8 0.0 7.9 6.0 28.6
187 Unified Communications Strategies 12.0 3.2 0.0 9.2 4.1 28.4
188 RedMonk Radio Podcast 12.0 2.6 0.0 8.7 5.1 28.4
189 INPUT Blog 9.6 1.8 0.0 9.1 7.9 28.3
190 Forrester Blog For CIOs 12.0 2.7 0.0 10.2 3.3 28.1
191 Blog Mike Ferguson 9.6 4.2 4.1 3.3 6.9 28.0
192 Network and Telecom Strategies Blog 12.0 2.0 0.0 8.4 5.5 27.9
193 Forrester Blog For Consumer Market Research Professionals 0.0 2.5 5.7 8.2 11.4 27.9
194 Fuld’s Competitive Musings 12.0 3.0 1.6 9.5 1.8 27.8
195 Amy Wohl’s Opinions 9.6 3.8 0.0 10.7 3.6 27.7
196 The Monash Report 12.0 3.8 0.0 9.4 2.4 27.6
197 Nucleus Research 14.4 2.3 0.0 7.5 3.4 27.6
198 Fern Halper’s data makes the world go round 9.6 3.2 1.6 10.2 2.9 27.5
199 Gartner – David McCoy 12.0 2.3 0.0 10.0 3.3 27.5
200 Gartner – Wes Rishel 12.0 2.4 0.0 9.5 3.5 27.4
201 Amy Wohl’s Opinions on SaaS 12.0 3.8 0.0 0.0 11.5 27.3
202 Celent Banking Blog 9.6 2.3 0.0 10.5 4.7 27.1
203 E-Communications and Community 12.0 3.7 0.0 8.1 3.3 27.1
204 Binstock on Software 12.0 0.0 0.0 13.0 2.0 27.0
205 CCS Insight Blog 7.2 2.6 0.0 10.1 7.0 26.9
206 Lux Populi 12.0 1.2 0.0 8.4 5.3 26.9
207 Thinking Global 12.0 3.4 0.0 7.2 4.1 26.7
208 Forrester Research – Customer Experience in Japan 12.0 3.3 0.0 9.9 1.4 26.6
209 Ironick 9.6 3.6 0.0 9.3 3.9 26.4
210 Lower (Carbon) Footprint 0.0 2.8 0.0 22.2 1.4 26.3
211 Gartner – Dan Sholler 12.0 2.0 0.0 6.4 5.8 26.1
212 elemental links 7.2 3.8 2.5 9.1 3.5 26.1
213 First Thing Monday 12.0 3.5 0.0 9.5 0.8 25.7
214 Gartner – Toby Bell 12.0 2.0 0.0 9.4 2.2 25.6
215 Data Management Strategies 12.0 2.6 0.0 6.7 4.1 25.4
216 Strategic Messaging 12.0 3.7 0.0 7.7 1.9 25.4
217 The Geo Factor 12.0 3.7 0.0 9.7 0.0 25.3
218 Gartner – Gene Alvarez 12.0 1.7 0.0 8.9 2.7 25.3
219 TelcoTV-View 9.6 2.4 0.0 11.2 2.0 25.3
220 Gartner – Adam Hils 12.0 1.8 0.0 6.4 5.0 25.2
221 Adam’s Heart Valve Surgery Blog 7.2 3.7 4.5 2.6 7.0 25.0
222 Gartner – Eric Goodness 12.0 1.7 0.0 9.6 1.7 24.9
223 Gilbane Events Blog 12.0 2.3 0.0 6.4 4.2 24.9
224 Home Theater View 7.2 3.6 10.5 0.0 3.7 24.9
225 eurotechnology.japan.blog 9.6 3.8 0.0 9.4 2.2 24.9
226 Software Memories 12.0 3.7 0.0 7.4 1.7 24.7
227 Mostly Enterprise Architecture 7.2 2.4 0.0 4.9 10.1 24.7
228 Connections 9.6 3.8 0.0 6.7 4.5 24.6
229 IT Depends 9.6 3.5 0.0 3.3 8.1 24.6
230 Gartner – Brian Gammage 12.0 1.7 1.6 4.6 4.6 24.5
231 Gartner – Dave Cappuccio 12.0 2.6 0.0 7.0 2.8 24.5
232 Insecure about Security 9.6 3.8 0.0 7.1 3.9 24.4
233 comScore Voices 16.8 3.8 0.0 0.0 3.9 24.4
234 doingITbetter 9.6 4.0 0.0 8.8 2.0 24.4
235 Gartner – Roberta Witty 12.0 2.0 0.0 6.4 3.8 24.2
236 MacehiterWard-Dutton 9.6 4.1 1.6 3.8 4.9 24.0
237 Celent Insurance Blog 9.6 3.2 0.0 7.6 3.7 24.0
238 Freeform Comment 9.6 3.5 0.0 8.4 2.5 23.9
239 Content Nation 9.6 2.2 0.0 7.7 4.3 23.8
240 The InfoCommerce Blog 9.6 3.8 0.0 7.2 3.1 23.7
241 NanoMarkets TOP Blog 9.6 3.6 0.0 9.3 1.2 23.6
242 fasol.blog 9.6 2.9 0.0 9.1 1.9 23.4
243 Gartner – David Norton 12.0 1.7 0.0 6.6 2.8 23.1
244 Gartner – Eric Knipp 12.0 2.0 0.0 5.7 3.3 23.0
245 Gartner – Debra Logan 12.0 2.1 0.0 7.5 1.3 22.8
246 Tom Raftery’s Social Media 9.6 2.7 0.0 0.0 10.5 22.8
247 Gartner – Richard Fouts 12.0 1.8 0.0 5.7 3.2 22.7
248 Cote’s Weblog 12.0 3.2 0.0 1.6 5.9 22.7
249 billtrippe 12.0 0.0 0.0 6.4 4.2 22.6
250 The Bourne Report 9.6 3.0 0.0 7.7 2.1 22.4
251 Gartner – Bruce Robertson 12.0 1.6 1.6 4.6 2.5 22.3
252 Gartner – Benoit Lheureux 12.0 1.6 0.0 5.5 3.2 22.3
253 NewMediaWise 9.6 3.4 0.0 9.2 0.0 22.1
254 Leadership Drives Business 0.0 2.9 0.0 12.2 7.0 22.1
255 IT BULLETins 12.0 3.9 0.0 4.6 1.5 22.0
256 Beagle Research 12.0 0.0 0.0 9.9 0.0 21.9
257 The Business of Talent 0.0 2.9 0.0 12.2 6.8 21.9
258 Berlecon Analyst Weblog 12.0 0.0 0.0 7.2 2.7 21.9
259 IT Services and Outsourcing 12.0 2.5 0.0 7.4 0.0 21.8
260 Gartner – Carol Rozwell 12.0 1.6 0.0 5.2 3.0 21.8
261 TeleGeography News and Analysis 14.4 2.6 0.0 2.6 2.0 21.7
262 Andy on Enterprise Software 9.6 2.7 0.0 6.7 2.6 21.6
263 Pike Research Blog 9.6 1.6 0.0 4.9 5.3 21.5
264 Localization Industry 411 7.2 3.4 0.0 10.0 0.9 21.5
265 Optimal Friction 7.2 3.2 0.0 7.1 3.4 20.9
266 Gartner – Donna Fitzgerald 12.0 1.9 0.0 3.8 3.2 20.8
267 Gartner – Michael Blechar 12.0 1.8 0.0 5.5 1.4 20.7
268 Blogging at Zinnov 4.8 0.5 0.0 7.0 8.4 20.7
269 Liquefying IT 12.0 3.8 0.0 0.0 4.9 20.7
270 iLocus 7.2 3.2 0.0 8.3 1.7 20.5
271 Gartner Voice 14.4 2.4 0.0 0.0 3.5 20.3
272 Contentblogger(TM) – Industry Events 9.6 1.9 0.0 7.7 0.9 20.1
273 Got Tannins? 9.6 4.1 0.0 4.9 1.5 20.0
274 Thinking Out Loud 12.0 2.5 0.0 0.0 5.5 19.9
275 Gartner – Phillip Redman 12.0 1.8 0.0 3.3 2.7 19.8
276 Chipworks Blog 9.6 2.9 1.6 0.0 5.6 19.7
277 Security Architect 9.6 2.7 0.0 4.6 2.7 19.6
278 what’s next? 9.6 2.8 0.0 4.6 2.5 19.5
279 Gartner – Van Baker 12.0 1.7 0.0 3.3 2.5 19.4
280 Thus Prate the IT Pundit 7.2 3.2 0.0 6.4 2.6 19.4
281 Open Reasoning 9.6 2.3 0.0 4.9 2.5 19.3
282 Technology Marketing Blog 7.2 3.0 0.0 6.1 3.0 19.3
283 Forrester Blog for Technology Sales Enablement Professionals 0.0 2.1 3.2 5.7 8.3 19.3
284 John Katsaros 7.2 0.7 0.0 6.7 4.5 19.2
285 Joel Orr’s World 7.2 0.7 0.0 6.7 4.5 19.2
286 Techaisle 7.2 1.9 2.5 4.3 3.2 19.1
287 The Bigger Truth 0.0 2.2 0.0 11.2 5.5 18.9
288 Gartner – Rob DeSisto 12.0 1.6 0.0 1.6 3.6 18.8
289 The Future of Publishing 9.6 3.2 2.5 0.0 3.5 18.8
290 Gartner – Brian Burke 12.0 1.7 0.0 3.8 1.2 18.7
291 Total Immersion 7.2 2.8 0.0 7.7 0.9 18.6
292 Mark My Words 9.6 3.5 0.0 0.0 5.4 18.5
293 No Jitter Weblog – Melanie Turek 12.0 1.9 0.0 0.0 4.6 18.5
294 No Jitter Weblog – Michael Finneran 12.0 1.8 0.0 0.0 4.6 18.4
295 Global Trends and Benchmarks 0.0 1.0 0.0 12.2 5.3 18.4
296 No Jitter Weblog – Irwin Lazar 12.0 1.4 0.0 0.0 4.8 18.2
297 No Jitter Weblog – Zeus Kerravala 12.0 2.6 0.0 0.0 3.5 18.1
298 Identerati 9.6 2.4 0.0 6.1 0.0 18.0
299 The Technology Garden 7.2 2.2 0.0 8.6 0.0 17.9
300 Steve’s IT Rants 4.8 0.6 0.0 12.5 0.0 17.9
301 Geosophical technologies 7.2 2.6 0.0 6.4 1.7 17.9
302 Heavy Lifting Analyst Notes 12.0 1.8 0.0 0.0 4.0 17.8
303 Jon Peddie Blogs 9.6 1.1 0.0 3.8 3.2 17.7
304 JPR Staff Blogs 9.6 1.1 0.0 3.8 3.2 17.7
305 No Jitter Weblog – Sheila McGee-Smith 12.0 1.2 0.0 0.0 4.5 17.6
306 Burton Group Inflection Point 7.2 3.5 0.0 4.3 2.6 17.6
307 Craig Mathias’s Blog 0.0 3.6 0.0 9.1 4.9 17.6
308 ABI Research Analyst Blogs 12.0 1.7 0.0 0.0 3.8 17.5
309 Learning on the Leading Edge 0.0 0.0 0.0 12.2 5.3 17.5
310 Mobile Insight and Search 7.2 3.3 0.0 6.6 0.0 17.1
311 No Jitter Weblog – Tom Nolle 12.0 1.0 0.0 0.0 4.1 17.0
312 Gene Phifer’s Personal Blog 7.2 1.2 0.0 8.7 0.0 17.0
313 Nothing to Declare 4.8 3.5 0.0 6.4 2.2 16.9
314 bit blue blog 7.2 3.3 0.0 6.4 0.0 16.9
315 Gartner – Frank Ridder 12.0 1.6 0.0 0.0 3.3 16.9
316 No Jitter Weblog – Brian Riggs 12.0 1.1 0.0 0.0 3.6 16.6
317 Keeping IT Grounded 9.6 1.7 0.0 5.2 0.0 16.5
318 Connecting the Dots 0.0 0.0 0.0 7.8 8.5 16.3
319 BPMS Watch 12.0 0.0 0.0 0.0 4.3 16.3
320 Communication Innovations 12.0 3.2 0.0 0.0 0.9 16.1
321 Gap Intelligence 4.8 2.7 0.0 0.0 8.6 16.1
322 Peter Christy 7.2 1.8 0.0 4.6 2.4 16.0
323 Jen McClure’s Ruminations 9.6 1.3 0.0 4.3 0.8 16.0
324 Gartner – Tole Hart 12.0 1.8 0.0 0.0 2.2 16.0
325 Gartner – Martin Reynolds 12.0 1.7 0.0 0.0 2.0 15.7
326 Gartner – Earl Perkins 0.0 1.9 1.6 8.0 3.8 15.3
327 Gilbane Publishing Technology Blog 14.4 0.0 0.0 0.0 0.8 15.2
328 The Analyst View 9.6 2.0 0.0 0.0 3.6 15.1
329 Shosteck Group Insights 9.6 1.0 0.0 3.3 1.0 14.9
330 Technology Pundits – Rob Enderle 9.6 3.3 0.0 0.0 1.9 14.7
331 Gartner – Donald Feinberg 9.6 1.6 0.0 0.0 3.5 14.7
332 The Saltworks 7.2 1.5 0.0 3.3 2.2 14.2
333 Compass Intelligence 7.2 3.5 0.0 0.0 3.3 13.9
334 Wicked Flavory 4.8 2.2 0.0 6.9 0.0 13.9
335 Marcia Kaufman’s Weblog 9.6 1.1 0.0 3.3 -0.2 13.7
336 On Target Embedded Systems 7.2 3.1 0.0 0.0 3.4 13.7
337 Rabkin’s ROI 0.0 1.5 0.0 3.8 8.3 13.6
338 Forrester Blog for B2B Market Research Professionals 0.0 2.3 0.0 5.2 6.0 13.5
339 Foro Empresarial 0.0 2.6 0.0 5.9 4.9 13.4
340 joygantic 4.8 2.3 0.0 5.5 0.8 13.4
341 Andreas Antonopoulos’s blog 9.6 3.0 0.0 0.0 0.7 13.3
342 WirelessView 7.2 1.1 0.0 4.9 0.0 13.2
343 IMHO 0.0 0.5 0.0 8.9 3.7 13.1
344 GigaOM Pro Blog 0.0 0.3 0.0 5.9 6.9 13.1
345 Innovating Government 0.0 3.2 0.0 8.7 1.1 13.0
346 Commvine 2.4 1.2 0.0 6.4 2.9 12.9
347 On Taget: Embedded Systems 0.0 0.0 0.0 7.6 5.3 12.9
348 TV Strategies 4.8 2.8 0.0 5.2 0.0 12.8
349 Burton Group Weblog 9.6 3.2 0.0 0.0 0.0 12.7
350 The Collaboration Blog 7.2 3.1 0.0 0.0 2.4 12.7
351 Chip Hatchery 7.2 1.1 0.0 0.0 4.4 12.6
352 Technology Pundits – Richard Doherty 7.2 3.3 0.0 0.0 2.0 12.5
353 iGR Weekly Blog 0.0 1.6 0.0 9.5 1.3 12.4
354 The Naked Chief Blog 7.2 0.5 0.0 1.6 3.0 12.3
355 The Innovation Zone 9.6 1.1 0.0 0.0 1.4 12.1
356 Cannell.org 0.0 3.4 0.0 4.6 3.9 12.0
357 Technology Pundits – Tim Bajarin 7.2 3.3 0.0 0.0 1.5 12.0
358 Open Source Unleashed – All Bets Off 9.6 0.0 0.0 0.0 2.3 11.9
359 MavBlog 7.2 0.6 0.0 1.6 2.0 11.5
360 Ted Ritter’s blog 9.6 0.3 0.0 0.0 1.6 11.5
361 Sageza Says 0.0 1.2 0.0 5.9 4.1 11.3
362 Digital Consumer 0.0 2.0 0.0 4.6 4.6 11.2
363 Strategy Analytisc – Digital Consumer 0.0 2.0 0.0 4.6 4.3 10.9
364 Enterprise Advocates 0.0 3.5 3.2 0.0 4.0 10.7
365 Jeff and Hennie’s Stuff 0.0 1.8 0.0 7.7 0.9 10.5
366 Retail PLM and Sourcing 4.8 0.0 0.0 1.6 4.1 10.5
367 Ben’s Tech Blog 0.0 0.0 0.0 6.1 4.3 10.4
368 NRG TechView research and analysis 7.2 1.6 0.0 0.0 1.5 10.3
369 Johna Till Johnson’s blog 0.0 0.0 0.0 4.9 5.3 10.3
370 Lopez Research Blog 7.2 1.2 0.0 0.0 1.8 10.2
371 John Burke’s blog 9.6 0.0 0.0 0.0 0.0 9.6
372 Digital Media Bulletin 0.0 2.6 0.0 5.7 1.1 9.4
373 A Springboard to Services 7.2 1.0 0.0 0.0 1.1 9.2
374 alvear.com 4.8 1.7 0.0 0.0 2.7 9.1
375 DVR Bulletin 7.2 1.8 0.0 0.0 0.0 9.0
376 Views from the Bridge 0.0 0.0 0.0 5.2 3.2 8.5
377 Collaboration service news 0.0 0.5 0.0 0.0 7.9 8.4
378 Amy’s Food Adventures 0.0 1.9 0.0 3.8 2.5 8.3
379 JapanStrategy-Blog 0.0 2.6 0.0 4.3 1.2 8.1
380 Carl Gressum’s blog 0.0 1.0 0.0 4.3 2.5 7.7
381 Government IT Infrastructure Blog 0.0 0.0 0.0 1.6 5.8 7.4
382 Product Value Management 4.8 1.0 0.0 0.0 1.6 7.3
383 Application Delivery 0.0 0.0 0.0 4.6 2.6 7.3
384 Gartner – Michael Hanford 0.0 1.4 0.0 2.6 2.9 7.0
385 MetaMurph’s Metasphere 4.8 0.5 0.0 0.0 1.3 6.5
386 Technology Pundits – Roger Kay 0.0 3.3 0.0 0.0 3.2 6.5
387 I of Innovation 0.0 1.7 0.0 3.8 0.6 6.2
388 Green IT Sourcing 4.8 1.1 0.0 0.0 0.0 5.9
389 Cloud Computing Blog 0.0 0.0 0.0 2.6 3.1 5.7
390 Annoying Design 4.8 0.5 0.0 0.0 0.0 5.3
391 Thoughts From a Software IT Analyst 0.0 0.9 0.0 1.6 2.5 5.1
392 Key Analysis Research and Consulting – Blog 0.0 0.5 0.0 3.3 1.2 5.0
393 HealthTech Industry Perspectives 0.0 0.0 0.0 0.0 4.9 4.9
394 Internet2Go – An Opus RAS 0.0 0.0 0.0 0.0 4.6 4.6
395 JBB Research Blog 0.0 0.0 0.0 0.0 4.6 4.6
396 Software Delivery news 0.0 0.8 0.0 0.0 3.8 4.6
397 The Changing Life Sciences Value Chain Blog 0.0 0.0 0.0 0.0 4.5 4.5
398 Executive Blog 0.0 0.0 0.0 0.0 4.5 4.5
399 Health Plan Business and Technology Views 0.0 0.3 0.0 0.0 3.8 4.2
400 Big Picture 0.0 0.0 0.0 0.0 3.8 3.8

Methodology

I have taken the feedback I have received from the previous research and modified the methodology.

Scores are now calculated as follows:

Google PageRankGoogle PageRank is a link analysis algorithm that interprets web links and assigns a numerical weighting (0 to 10) to each site. High-quality sites receive a higher PageRank. The ranking uses the actual PageRank as part of its algorithm.

Yahoo Inbound Links [date unlimited]Yahoo counts the total number of inbound links that go directly to a blog. Each number was assigned to a range which was then used as part of the algorithm.

Google Inbound Links [3 months date limited]Google allows people to search the number of inbound links to a specific blog but limit this to a predefined date period. Similar to how Technorati only looks at six months of data, this method was used in combination with the Yahoo Inbound Link count to assess which blogs were considered to be important due to the number of links that came to them, but also currently relevant as measured by the limitations on the timescale. Each number was assigned to a range which was then used as part of the algorithm.

Google Reader SubscribersGoogle reader lists the total number of subscribers to a blog. I believe this is a more realistic number to that which Bloglines provides. Mihai Parparita confirms that “these numbers include subscribers across all Google services”. To account for people using other readers (e.g. Newsgator) it has been suggested that this number is multiplied by 3. Subscriber ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number that was used as part of the algorithm.

Frequency of Posts – Updating relevant and interesting content frequently onto a blog will naturally cause more people to find this blog important. This score is established via Google Reader to understand the precise number of posts per week that the blogger makes. Frequency numbers were determined and assigned to a range that was used as part of the algorithm.

Date Last Blog Post Published – Working in combination with ‘Frequency of Posts’, this score mitigates against blogs that were once popular but haven’t been updated for a long time. The number of days since the last blog post was calculated and assigned to a range which was used as part of the algorithm.

Comments – A simple way to judge how valuable a blog is to other people is through the number of comments (where this is enabled) that visitors make. In a similar way to linking and subscribing this user requested service shows a significant value. The number of comments made over the last five posts were calculated and assigned to a range which was used as part of the algorithm.

Twitter Inbound Links – There are various online tools available to count the number of links inbound to a blog from Twitter. Backtype was used to count the number of these occurrences over the past five blog posts. The number of times this happened was calculated and assigned a range which was used as part of the algorithm.

Weighting – Each specific variable listed above was given a standard score out of 10. Using a weighting scale I varied the importance of the each metric to establish a blogs total score.

Badges

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by: @jonnybentwood

Orignially posted on Technobabble 2.0

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I recently wrote about the prospect of a mood change among enterprise IT customers, in particular less willingness to accept the ways IT vendors interact with them. While I can claim no responsibility it was interesting this week to hear the comments of R ‘Ray’ Wang (should the ‘R’ actually stand for ‘revolutionary?’) at the SAP UK User Group Conference (Sugen).

Thankfully it created more thought provoking headlines than one might expect of a User Conference and Ray Wang was fairly explicit in his warning to the SAP customer base:

“…The traditional models of how we do business have gone away… We’re left with enterprise applications that do a really good job of catching data and automating processes but which are lacking in flexibility and innovation. Our antiquated technology has an impact on the way we handle change management…People need solutions right away, they can’t wait for IT to deliver.” (mycustomer)

Wang went on to criticise SAP’s ability to bring its innovations to market, encouraging Sugen members to demand more of the vendor. Given that the company spent $1.6bn on R&D in 2008 Wang felt that the enterprise resource planning (ERP) vendor had failed to communicate some of its innovations, such as ESME, which was launched a year before Salesforce announced Chatter.

“End users need to work through the user group to push SAP to unlock the innovation, to find one what is available, and to get clarity on the SAP product map so they can plan for change…” (Computer Weekly)

To put it mildly this is not the early Christmas present SAP’s management want. Elsewhere it’s been revealed the company made a New Year’s resolution to put up maintenance fees for some customers to nearer 20%, which has already led to revolt among some customers.

So what’s the answer?
It isn’t all bad news for SAP, because underlying Wang’s comment is the message that the innovation exists, which is positive for its customers. It is also not alone in facing such criticism from influential industry figures. Figures such as Vinnie Mirchandani raised serious concerns about Oracle’s ability to innovate earlier in the year, which provoked a strong response from the company. (disclaimer: I’m an ex-Oracle employee)

Therefore is this simply a return – as Ray Wang suggests – to the 1990s argument about best-of-breed vs. suite solutions, with the best-of-breed being Software-as-a-Service? (SaaS)
Certainly, Marc Benioff has done a superb job of marketing his company, as underlined by the buzz created by Chatter last week. And yet, Dennis Howlett is also right to question whether Salesforce has the genuine capability, experience etc, to embed this new model of innovation across complex enterprise IT infrastructures.

Next week will see the Oracle UK User Group and it will be interesting to see what comes out of that event, particularly as subjects such as the much-heralded and long-awaited Fusion Applications are a subject of discussion.

It is always easy for the media to concentrate on the negatives in such scenarios and it is very easy to pick on licensing and pricing as a key issue. That said it will be interesting to hear whether next week’s conference reflects the deeper issues that Wang highlights.

If it does, does that suggest initial grumblings are gaining momentum and spreading across the industry? I would trust Dennis Howlett’s assessment of the mood in the SAP camp, which suggests things are positive, but as things stands today there appears to be increasing unrest among a variety of customers.

Perhaps the reason is understandable. We are coming out of recession (supposedly) and customers want to be inspired by the companies that provide their IT systems. If that is the case then Marc Benioff is already ahead in the perception stakes.

The answer for vendors could be as simple as being more daring when communicating with their customers. As Peckham’s most famous entrepreneur said many times, “He who dares, Rodders, he who dares…”

Footnote
Interesting development to add to the suggestion of dissatisfaction among SAP customers. Two key members of Sugen, who led the User Group’s involvement in discussions around the maintenance fee issue, have resigned. It would be wrong to jump to conclusions, but it doesn’t paint a positive picture at such a crucial time.

So, we keep hearing loads and loads about Twitter and in particular, with the launch of our very own Tweet level, it’s importance as a tool of influence I was reading this blog post and thought it was a really simple look at influence that applies not just to twitter but also the role of the individual in the workplace or social sphere. Just like Twitter, ‘Connectors’ have power and influence in the real world by centrally positioning themseleves within an organisation/network, building relationships out in a sort of ripple. Connectors have better career success as they are more promotable and whilst social media tools like Twitter, Linkedin and Facebook can help build people’s networks, its the more personal, as the author puts it “old fashioned way” that really helps to make a difference. Link to article here http://blogs.harvardbusiness.org/kanter/2009/11/power-to-the-connec…

How much is your Twitter worth?

Who really cares about being a 36 or a 51, surely you want to know what your influence is actually worth?

 

Well advertisers are slowly creeping into Twitter, with various firms opening in the past year focussing specifically on Twitter. One such company is Magpie (Ad.ly is another recently launched firm). Like Edelman they also have an algorithm that looks at popularity/engagement/influence etc – but not to give a score but to give you a figure for how much they’ll pay you a month to be an advertiser. Yes – you are all the media now. So – how much are you worth: http://members.be-a-magpie.com/twitterer

Some of the “top” Tweeters in the US are allegedly earning $1,000’s a month based on their large audience (Brooke Burke and other US celebrities have signed up to Ad.ly and reports are she’s making way in excess of that figure). By signing up to these programs you agree for the advertiser to “inject” relevant/targeted tweets into your feed for brands – usually selling/recommending a project. As this is growing in popularity, it’s also causing many to question the ethics.

Here is a list of the celebrity “publishers” signed up to Ad.ly.

I actually personally think that Magpie and Ad.ly are doomed to fail – not because they won’t make money (they really are already) but because I think Twitter will just do what they do themselves. Robert Scoble recently put together a post about this and demonstrated how Twitter could run targeted advertising via something he referred to as “supertweets” – a tweet but with an advertisement attached. i.e. if I tweeted something about a drink/event/food/sport – when it appeared in my feed a relevant advert would be attached to it. A good discussion of this can be seen on geek.com: http://www.geek.com/articles/news/scoble-twitter-advertising-to-tak…

But hell, the great white hope for the advertising industry could well be you and I. This is of course unless the advertisers ruin the medium first…

I’m only worth $13 a month mind, so won’t be given up the day job just yet.


@JustinWestcott

Cowabunga dudes

What makes someone – or something – influential?

For example, a PR with a client in telecoms is bound to say that the editor of a telecoms trade journal  is influential. They’d probably say the same about Stephen Fry. But ask them to prove that influence and I guarantee you’ll get either a blank stare or a conversation about circulation figures, web traffic and – if you’re lucky – followers on Twitter.

If we accept a definition of ‘having influence’ as being: “someone or something whose opinions and actions lead to a change of opinion and/or behaviour in the audiences they engage with or who engage with them,” then surely both the editor and Stephen pass the test?

Not quite. The problem I have is that most of the time we’re not getting an objective measure of influence but a subjective measure of significance, and that’s not good enough.

While the counsel given by PRs on the merit of interacting with different audiences is undoubtedly valued by clients, the massive fragmentation of the communications’ landscape coupled with the after-effects of a global recession have given them a reason to question the relevance of every penny of PR spend.

Clients are forcing the issue of proving influence because they are no longer certain that accepted campaign strategies and tactics will deliver to overall business goals. Telling them a person, or group of people, is influential and that they should be reached by a certain method is no longer enough, it has to be proven.

I’m already having daily conversations with clients who are keen to rip up the rule book of what constitutes a PR programme because they don’t accept that the old ways are working. The sacred cows such as press releases and press tours are being met with the question: “What value is this activity to me?” and I’m finding it massively liberating.

Of course, it’s an evolution rather than a revolution and there are still plenty of companies who require the activities that go to make up a typical PR programme. But the pace of evolution will only quicken as the global trend of influencer engagement starts to replace the one-to-many communication models prevalent in marketing today.

With that in mind, Edelman is on a mission to find and rank the 2,010 (see what we did there?)  most influential people in technology using our very own TweetLevel – a sophisticated influencer measurement tool that gives an accurate assessment of a person’s level of influence in the Twittersphere.

True, it’s currently limited to measuring influence within Twitter, but the fact that Twitter is being used by a large percentage of people involved in the technology sector makes it a perfect place to start. Look out for a call to action on how you can put yourself or someone else forward.

In the meantime I’d love to hear your views on influence and its importance in PR. Have I got this right? Is it the single most important factor for us PROs to understand and measure? Will it lead to a rethink around how we do PR or will the old ways always remain?

@PaulWooding

"So don't become some background noise"

Spotify: a PR success, a service the world has grown to love and a potential game-changer for the music industry – but also a service which most of us have decided not to pay for. Instead, the majority of revenue remains reliant on advertising, users largely accepting an advert being played every half an hour as a small price to pay for having legal access to a myriad of music.

Yet over the weekend it emerged quite how insignifigant a money spinner this currently is for even the most popular artists. Lady Gaga’s ‘Poker Face’ is one of the most popular tracks on Spotify, being played over a million times, yet a report claims that she has earned only $167 (about £100) from this. In view of the fact that many of the big music labels are given equity in Spotify in return for their artist’s material, this could understandbly lead to some anger – Swedish artist Magnus Uggla being a case in point.

Whether it is really relevant to measure the success of Spotify in this way remains to be seen as it is still a service in it’s infancy. Much like Twitter, it is phenomenally successful in terms of usability but is still finding its feet in terms of making money. As it continues to attract users it’s appeal to advertisers will grow and so to will the financial returns. How this filters down to the individual artist is then probably more of an issue with the labels than with Spotify.

If at this stage you instead view Spotify as a brand building tool to drive fans to the places which do make an artist money, it all becomes a bit more acceptable. After listening to a track on Spotify, many will pay to download the album, go to a gig or watch the video on YouTube – the latter being highlighted by Lady Gaga herself as one of the most lucrative touchpoints. The video for her latest single ‘Bad Romance‘ is a case study in product placement. The incredibly slick electro pop production includes products from Phillipe Stark, Nemiroff, HP, Nintendo and Burberry among others. Whilst there is always a danger that product placement in a video will translate to it becoming a glorified advert, each product has a logical role and is subtle enough to ensure credibility remains. For Lady Gaga (or her management) this means a big wad of a cash. By inviting the brands into her video It also means she can capitalise on her value as a brand endorsement whilst still playing by her rules. For the brands in question it means an instant association with a cool, headline grabbing personality. It also brings (at the time of writing) almost 17 million views and the knowledge that this video and brand exposure will stay online indefinitely. A win win situation.

@AJGriffiths

DISCLAIMER: HP is an Edelman Tech client.  @LukeMackay also has a Burberry coat, though no one pays him to wear it.   More’s the pity.

Stapler is still a bit star struck this morning after a very exciting Saturday night at the filming of X-Factor. Stapler watched SuBo give a powerful rendition of ‘Wild Horses,’ sat opposite a very glamourous looking Joan Collins and met all the contestants and their families in the bar after the show.

Stapler arrives at Fountain Studios and is ushered onto the set:


Stapler is introduced to the show’s PR (who is a little bemused):


Stapler meets his favourite in the bar after the show:

Next week he'll sing U2's classic: Zoo Station-ary

@SashaManners

 

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