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Jul18
Social Media Index Scorecard

I have to sit down and really absorb the Social Media Index in Sixtysecondview.com that Steve Rubel just mentioned at Crowdsourcing a New System for Measuring Influence (Beta).

"..With this in mind, lots of smart people in our firm have been thinking about online influence and how to measure it. This is a critical issue not just for PR pros, marketers/advertisers, but everyone who wants to monetize content. We're experimenting with a new weighted blended approach and would like your feedback. (When I learned that I ranked highly in their calculations I told David Brain, our Europe CEO, that he fixed this to psych me into relaxing so I Twitter less. My rankings would fall and his would rise!)

The model we have developed is far from perfect, but it's a start. The key is to develop a system that can grow as the channels change. We want a system that we all like - or at least a majority. Feel free to leave comments here or on David's site. Our intent is to create this in partnership with you out in the open. It's in beta but now we need your help. Together we can find something that's workable."

The last iteration of their scorecard is this (except the top 30 is not enough - it needs to be about 10 times that, or 300 blogs/sources:

Top 30 social media index
Weighting: Blog - 30%; Multi-format - 20%; Mini-updates - 25%, Business cards - 7%, Visual - 3%; Favourites - 15%

 Nameblogmulti formatmini updatesbusiness cardsvisualfavouritessocial media index

1

Micro Persuasion

29

17

25

7

2

13

93

2

TechCrunch

29

20

22

0

3

13

87

3

Scobeleizer

29

20

25

0

3

9

86

4

GigaOM

29

20

13

7

3

13

85

5

Gaping Void

28

20

22

3

2

5

80

6

Scripting News

29

16

25

4

2

4

79

7

Web Strategy by Jeremiah

27

15

24

6

3

2

77

8

/Message

25

20

23

0

3

6

76

9

POP! PR Jots

21

19

23

6

2

3

72

10

PSFK

27

16

14

0

3

12

72

11

James Governor’s Monkchips

26

12

21

5

1

6

71

12

hyku | blog

23

15

20

5

2

3

68

13

Ars Technica

18

16

25

2

3

4

67

14

Marketing Pilgrim

28

8

15

6

2

7

67

15

Marketing Nirvana

23

16

15

6

2

4

65

16

a shel of my former self

24

15

15

5

2

4

65

17

Adrants

27

5

19

4

1

8

64

18

People over Process

23

5

23

5

1

5

63

19

What’s Next Blog

25

5

23

1

2

6

63

20

Strumpette

24

15

21

0

1

2

62

21

Online Marketing Blog

28

15

12

0

2

5

62

22

John Battelle’s Searchblog

29

17

0

7

3

5

61

23

Buzz Machine

28

20

0

5

2

5

61

24

Tecosystems

24

4

17

5

3

6

59

25

The Groundswell

26

11

12

6

0

4

58

26

Marketing Begins at Home

20

12

18

4

3

1

58

27

Common Sense PR

20

15

15

3

0

4

57

28

PR meets the WWW

19

12

15

4

1

5

56

29

Russell Davies

25

0

22

0

3

6

56

30

Drew’s Marketing Minute

26

5

17

6

0

1

56

 

I guess Edelman is using a combination of many different factors, which, by themselves, don't mean that much (Google PageRank, Bloglines Subscribers, Technorati Ranking, Alexa Ranking, Facebook Ranking, Twitter Friends and Followers Ranking, LinkedIn Ranking, Flickr Ranking, Del.icio.us Own Library) - but maybe together, add up to a releative measure of Social Media Influence.

:...Each specific social media outlet listed above was given a standard score out of 10. Using a flexible weighting scale it is possible to vary the importance of the different tools available and consequently establish different total scores of individuals web influence. For the table listed above the following weightings were used:

Blogs30%
Multi-Format (e.g. Facebook)20%
Mini-Updates (e.g. Twitter)25%
Business Cards (e.g. LinkedIn)7%
Visual (e.g. Flickr)3%
Favourites (e.g. Digg, del.icio.us)15%

The weighting scale listed above was created through discussions with several key new media gurus. I do not anticipate this weighting scale to be the final standard and welcome everyone’s views as to what this should be.

Future copies of the Social Media Index will allow you to assign your own subjective weightings to the index to establish your own score."

I like the idea of a scorecard though most of measures of it, listed above, can be manipulated - perhaps not all of them can be manipulated at one time.

At any rate, this is the first real attempt at a Social Media Scorecard I've seen  and it would be interesting to discuss at one of our Web Analytics Association Social Media Committee Meetings.

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