|2||.||Online Marketing Blog||10||10||10||10||6||9||9||10||74|
|3||.||Center for Media and Democracy||9||9||9||10||7||10||7||9||70|
|5||.||a shel of my former self||8||9||8||9||6||9||9||5||63|
|7||.||On Message Wagner Comms||8||9||5||5||6||6||9||5||53|
|9||.||PR 2.0 Silicon Valley||6||9||5||5||6||6||7||7||51|
|10||.||Pop! PR Jots||5||8||5||7||5||6||9||5||50|
|12||.||Todd And – the power to connect||8||9||5||4||4||6||7||6||49|
|15||.||Web Ink Now||5||9||4||5||6||6||7||5||47|
|18||.||Marketing Begins at Home||5||8||4||5||6||6||7||4||45|
|19||.||PR meets the WWW||5||8||5||5||5||5||7||5||45|
|20||.||A PR Guy’s Musings||4||8||4||5||5||6||7||5||44|
|21||.||Paul Gillin’s blog – Social Media||5||8||4||4||6||6||7||4||44|
|22||.||Strategic Public Relations||5||8||4||5||5||5||7||5||44|
|24||.||Tech PR Gems||4||7||4||4||5||5||9||5||43|
|25||.||Bad Pitch Blog||5||8||4||5||5||4||7||5||43|
|28||.||New PR, ranked by readers||4||6||4||4||6||9||5||4||42|
|29||.||Drew B’s take on tech PR||4||8||4||4||6||5||7||4||42|
|30||.||Blogging Me, Blogging You||5||8||4||4||5||4||7||5||42|
|34||.||Common Sense PR||5||8||4||2||5||8||4||5||41|
|35||.||….the world’s leading….||4||7||4||4||5||5||7||4||40|
|42||.||Piaras Kelly PR – Irish Public Relations||4||7||4||4||4||5||5||4||37|
|45||.||Client Service Insights (CSI)||3||6||4||3||5||3||7||2||33|
|46||.||KDPaine’s PR Measurement Blog||4||6||3||3||5||3||5||4||33|
|47||.||Onalytica – analysing online buzz||4||7||4||2||5||4||4||3||33|
|48||.||Heather Yaxley – Greenbanana PR||4||7||3||3||4||2||5||4||32|
|49||.||Alan Weinkrantz PR Web Log||3||6||2||2||4||4||6||3||30|
|53||.||Wadds’ tech pr blog||2||6||2||2||4||2||7||2||27|
|55||.||Wired PR Works by Barbara Rozgonyi||4||6||2||1||5||3||2||3||26|
|59||.||Tech for PR||3||6||1||1||5||2||3||3||24|
|60||.||Valley PR Blog||3||6||2||1||4||3||3||2||24|
|63||.||Don’t eat the shrimp – Josh Morgan||2||5||2||1||4||3||2||2||21|
|64||.||Indian and Global PR||2||6||1||1||5||2||2||2||21|
|65||.||Tech PR War Stories||2||5||1||2||5||1||2||2||20|
|69||.||Fusion PR Forum||2||5||1||1||4||1||2||2||18|
|70||.||First Person PR||2||5||1||1||4||1||2||1||17|
|71||.||All Things PR||2||5||1||1||3||1||2||1||16|
|73||.||A communica-holic’s view of PR||1||4||1||2||3||1||2||1||15|
|75||.||The Jive Man||1||2||1||1||4||1||3||1||14|
|76||.||Small Business PR and Marketing||1||3||1||1||4||1||2||1||14|
|78||.||72 Point Blog||1||2||1||1||4||1||2||1||13|
|79||.||The last man in Europe…||1||0||1||1||3||1||3||0||10|
|80||.||PR India Post||1||1||1||0||2||1||2||2||10|
|81||.||On the face…||1||2||1||1||3||1||0||1||10|
|83||.||Public Relations Rogue||1||2||1||1||0||1||1||1||8|
This time I initially tried a different approach: treating the blog scores as a normal distribution so that I could apply the same, proven and statistically sound methodology to every range of numbers and have standardisation across them. This involved calculating z-scores based on the mean and standard deviation, then creating rankings out of ten for each range of z-scores. It sounds simple and I tried to get it to work but it proved fruitless, probably partly because I’m not a statistician but also, I suspect, because it’s not a valid approach anyway. I will however look into this in future.
One of the reasons I think this approach proved so hard was that there are some monster blogs that throw the calculations, namely the top three, Center for Media and Democracy, Online Marketing Blog and, the big daddy, Micro Persuasion. These three in particular, and in fact the next 10 or so blogs, really did throw a lot of the calculations out.
On further examination I noticed that they tended to have a Technorati Authority of 300 or above, so I was tempted to create a ‘super league’ of bloggers to accommodate this. I thought that might prove too controversial and that really we need to have them all in the same table but I do wonder whether I’ve identified two separate populations of blogs within the PR blogosphere: the people like me who tippety-tap away at the end of a hard day’s PR-ing (or, in my case, mostly copywriting), and the ‘super blogs’. What accounts for them? Perhaps they’re run more as an online journal or profit-making enterprise or business; they could have multiple contributors making for a high turnover of quality content; they may have an element of automation that generates traffic; or they may simply be the blogs of people with great clout in the industry who have been around a while, who carry influence that is directly reflected in their scores.
So I’ve decided to stick with my previous method of using percentage bands to create scores with, as far as possible, the same bands used. At least this is standardisation of a kind, but I would very much like to use something closer to an academic approach. If anyone knows a way to do this then please contact me: ideally I would be looking for an Excel spreadsheet into which I can just slot my figures, then it will calculate z-scores for a normal distribution and convert them into rankings out of ten.
Other points to note:
- I didn’t like the way Alexa lacked figures for quite a few blogs. It seemed unfair to penalise them just because they didn’t use the Alexa toolbar. So, I’ve taken Alexa out. You can see where I was missing data – that’s where you see a score of zero.
- My Technorati figures are out of ten because, unlike Todd And’s figures, I don’t see the point of making them out of 30. However, I have tried bringing in the rank and blog reactions figures because Technorati seems pretty comprehensive.
- I’ve included Blogpulse, because the Bloginfluence calculation does. Same with the Yahoo links.
- I’ve also brought in Google hits and Google Blog hits. I haven’t seen this used before and I don’t understand why not. I think Google hits (looking for the address minus the http:// identifier because that usually returns just one hit) shows a good idea of how much you’re linked to or referred to in the general web world, very like the Yahoo hits score, while Google Blog hits is similar but within the blogosphere. Again, there is data for virtually all the blogs, which is attractive.
- I realised just before publication that I haven’t hyperlinked all the blog names in the table. You can click them in the PR links blogroll to the left of this page instead.
So what’s wrong with this index? You could say that:
- It’s unashamedly a home-brewed approach but at least I’m trying to get meaningful figures together.
- Entry to the list is via my blogroll – which I have built up over months using a combination of recommendation, discovery, and hits from Google news and blog feeds. Over the past few months, if you’ve commented on PR generally, or on my blog specifically, then there’s a fair chance you’re on it. If not then I can add you.
- It’s not automated so it will go out of date. Strumpette is particularly fond of telling me this.
- I’m not a statistician, so I’m using basic analysis here. I’m sure someone with more expertise could draw more inferences and arbitrate for some of the difficulties in the data.
- It doesn’t give any indication of quality. You could infer that quality posts attract high figures but there could be some real gems in there that don’t for whatever reason.
- In a similar way this also doesn’t show influence. Broadly you could say that popularity does equate to influence but I would expect an analysis of direct and indirect citations using serious automating sentimenting techniques could draw a different picture.
What’s good about it?
- This time around I’ve tried to make it more consistent. I’ve tried standardising on my analysis and I’ve used metrics that should work for virtually every blog. That’s why I abandoned Alexa this time around and Bloglines last time, because it just didn’t seem fair to mark blogs down if they didn’t have these figures.
- It uses publicly available metrics that other sites use too. Bloginfluence makes calculations using Technorati and Yahoo links, Google Page Rank is a nice indicator and the Blogpulse data also seemed comprehensive.
- It doesn’t use any subjective scores based on my personal preferences.
- It’s very pretty.
- Finally, whatever you think about my approach or whether or not you like tables, it’s interesting to see who’s where in the PR blogosphere. Well, I think so anyway. Then again perhaps I’m dull.
There is probably much more to be said on this topic, so I’ll add the disclaimer that I can’t be held responsible for any inaccuracies in this information, or for any consequences if you act on this information, and stop here. You can say the rest! I’m going on holiday.
BlinkList | Blogmarks | Digg | Del.icio.us | Ekstreme Socializer | Feedmarker | Furl | Google Bookmarks | ma.gnolia | Netvouz | New PR | RawSugar | Reddit | Scuttle | Shadows | Simpy | Spurl | Technorati | Unalog | Wink | Yahoo MyWeb2