Top 50 analyst bloggers

18Jun07

Technobabble 2.0 Top 50 Analyst Blogs

Edit (20 June) – the league table has been updated with a new entry in the top 5 and a new leader in the top spot – link.

This league table is a global ranking of the top 50 English-language analyst blogs.

This method of communication has increasingly been used with great effect by the analyst community to engage in conversations. According to Tekrati there are approximately 225 analyst blogs – no longer simply a tool that is used by the less transactional-based analyst houses (like MWD, RedMonk, Freeform Dynamics) some of the most established companies are using this medium as well (such as Gartner and Forrester).

A copy of the top 50 analyst blogs can be downloaded here.

Congratulations to RedMonk for taking the top 3 positions. Special mention to Charlene Li at Forrester who could have easily come top if the number of people subscribing to her blog was inline with her technorati ranking.

xxx Analyst Company Google Bloglines Technorati Technobabble Total Score

1

James Governor RedMonk

7

18

26

14

65

2

Stephen O’Grady RedMonk

7

16

23

14

60

3

Michael Coté RedMonk

6

12

21

14

53

4

Mike Rothman Security Incite

6

12

21

14

53

5

Heather Hopkins Hitwise

6

10

23

13

52

6

Marketing Forrester

6

13

20

13

52

7

Shore Communications Analysts Shore Communications

6

12

20

14

52

8

David Card Jupiter Research

6

13

19

14

52

9

Bill Tancer Hitwise

6

13

21

11

51

10

LeeAnn Prescott Hitwise

6

9

23

12

50

11

Dean Bubley’s Disruptive Wireless Disruptive Analysis

5

12

19

14

50

12

Kevin Werbach Supernova Group

6

20

16

8

50

13

Charlene Li Forrester

6

1

30

12

49

14

451 Group Analysts The 451 Group

6

11

17

14

48

15

Mark Mulligan Jupiter Research

6

8

15

14

43

16

Devices, Media & the future of Everything Forrester

6

11

20

5

42

17

Nate Elliott Jupiter Research

7

12

12

9

40

18

IT Business Alignment MWD

6

8

13

13

40

19

Joseph Laszlo Jupiter Research

6

11

14

8

39

20

Kelsey Group Analysts The Kelsey Group

5

9

11

14

39

21

Julie Ask Jupiter Research

6

8

12

12

38

22

Ian Fogg Jupiter Research

6

9

12

11

38

23

Identity and Privacy Burton Group

5

5

16

9

35

24

Jeff Kaplan THINKstrategies

5

5

12

12

34

25

Freeform Comment Freeform Dynamics

6

5

13

8

32

26

Sandra Hanchard Hitwise

6

6

12

8

32

27

Steve’s IT Rants Enterprise Strategy Group

6

0

12

13

31

28

Information Management Forrester

6

2

10

13

31

29

David Schatsky Jupiter Research

6

6

12

6

30

30

Diane Clarkson Jupiter Research

6

6

12

5

29

31

Wireless ABI Research

6

0

12

10

28

32

Application Platform Burton Group

5

5

10

8

28

33

Insecure about Security Enterprise Strategy Group

6

5

5

12

28

34

Barry Parr Jupiter Research

6

0

13

9

28

35

Joe Wilcox Jupiter Research

6

5

12

5

28

36

Stor Wars Enterprise Strategy Group

6

0

12

9

27

37

Digital Home ABI Research

6

5

4

10

25

38

Bricks to clicks: The details of retail Forrester

6

3

10

5

24

39

IDEAS Insights Ideas International

5

0

10

9

24

40

Security and Risk Management Forrester

6

2

3

12

23

41

Unconventional Thinking Gartner

5

8

0

10

23

42

Retail Systems Alert Group Analysts Retail Systems Alert Group

6

5

3

9

23

43

Mainstream Matters Freeform Dynamics

2

0

12

8

22

44

Media Gartner

3

7

0

12

22

45

Data Center Burton Group

0

1

11

9

21

46

Ron Exler Robert Frances Group

6

1

6

8

21

47

Security and Risk Management Burton Group

5

1

5

9

20

48

Todd Chanko Jupiter Research

6

2

6

6

20

49

Michael Gartenberg Jupiter Research

6

0

0

14

20

50

Thomas Husson Jupiter Research

6

5

0

9

20

This league table will be reviewed and republished every quarter. Marks are based on the following criteria:

Google PageRank (0 to 10) – Google 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.

Bloglines Subscribers (1 to 20) – Bloglines displays the amount of subscribers each blog has to its feed(s). Subscriber ranges were determined (i.e., more than 20, more than 30, etc.) and each range was assigned a number (1 to 20) that was used as part of the algorithm.

Technorati Ranking (1 to 30) – Technorati ranking relates the authority of a particular blog (via the number of sites pointing to it). The more link sources referencing your blog, the higher the Technorati ranking. Similar to the Bloglines Subscribers value, and each range was assigned a number (1 to 30) that was used as part of the algorithm.

Technobabble Points (1 to 15) – As the only subjective measure in the algorithm, 1 to 15 opinion points were assigned to each blog. I value frequent, relevant, creative and high-quality content with a good number of comments.

Further analysis about this table will follow in subsequent posts as I am sure the positioning of some blogs (and the importance of this as a medium) will no doubt cause some argument.

If you want to suggest a blog or report an error please let me know.

This league table was inspired by Todd And’s Power 150, a ranking of the top English-language marketing blogs developed by Todd Andrlik.

Technorati Tags: , , , , , , , , ,

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38 Responses to “Top 50 analyst bloggers”

  1. Interesting whack at it. What is your rationale for the Google rank? Most of these blogs are about different topics; what’s your method for gleaning a single Google rank for each blog?

    Also, do your know, do the Bloglines stats include feedburner subscribers?

    Trivia that amused me in looking at the numbers:

    RSAG is toes up, as of Friday. Blogging yes, bringing home bacon no.

    None of the personal blogs made the top 50. Wow.

    Integrating blogs directly with or in lieu of websites seems to correlate to higher blog TBs/RSS subscribers/etc.

  2. I am chuffed – really. Never thought I’d be at #5. Thanks for linking to us and for reading. Your ranking also helped me to stumble across a few blogs that weren’t on my radar.

    Look forward to the quarterly updates.

    Heather

  3. 3 prabhagovind

    Interesting!

  4. Surprised our trend watch didn’t make it – blog http://www.cmswatch.com/ as we typically score number 1 for our topic area of analysis ‘Content Management’
    Alan

  5. Very interesting! Looks like the methodology is spreading, and I like the way you’ve added the Technobabble score too. I’d be very interested in knowing how your Bloglines scores coped – I really did find discrepancies in what I got compared to Todd And’s bloglines scores, so in the end I just removed them.

    Nice work.

  6. The red monk guys I agree with , a lot others have not heard of. Maybe it is me.

    But we need a better way calculating this. Did you consider things like google reader

  7. This is fun; I think Barbara has some good suggestions about reducing the duplication.

    There’s a strong weighting built into your approach, which gives your score and one derived from Technorati twice as much weight as the scores from Google and Bloglines.

    I’d strong suggest that you convert the raw scores into z-scores rather than turning them into scores out of 10. There are differences between the averages in your series, which is an issue; most of the series start around zero, but your scores are almost all at least 5. There are also vast differences in the scales over which the scores are distributed. The Google series has t statistic of 1.6, while Technorati is almost 9. That means that the score real do need to be normalised before you can make a solid judgement.

    Thanks for doing this!

    Duncan.

  8. 8 Marc Duke

    Thanks – very useful indeed!

  9. I think the BlogLines ranking is misleading. Any blog that was around before 2005 will have a much higher BlogLines score as it was a more popular reader back then without much competition. Scoble, TechCrunch and LifeHacker all have posts in the last year about how they have switched from BlogLines to Google Reader. They are three of the most influential blogs out there so many readers will have also switched. Darren Rowse at ProBlogger reported about how BlogLines went from 60% of his subscribers to just 17% from mid 2006 – and many of those 17% will be inactive BlogLines accounts. Those BlogLines scores you are showing are made up of a large number of inactive subscriptions from years ago.

    It would make life easier if these blogs displayed a feedburner counter but at the moment the only reliable measure is technorati.

  10. I agree. the only reliable measure is Technorati… but again, there are ways to ‘fix’ that as well by starting a link chain and growing exponentially…. so doesn’t that amount to cheating? And then, there is a Blog’s worth being given based on the technorati ranking. So it all adds up to hot air and nothing more. At the end of the day, even the number of hits per day are still the best way to measure a blog’s efficacy. I know a few blogs that have amazing number of hits, but their technorati ranking sucks. Now who is giving us the true picture? I am not sure.

  11. Technorati ranks is what counts in the blogosphere


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