The Friendly Ghost PowerPR Index: The top 70 (or so) PR blogs


Blog influence. It’s a strange thing and something that’s been taxing my mind of late. There are many metrics you can use to create your home-brewed tables, and there are companies out there who will do this kind of thing for you, properly.

However I recently came across two tables that agreed in their methodology and which produced interesting results: the top 25 blogs about blogging on Daily Blog Tips, which was derived from Todd And’s Power150 of Top Marketing Blogs. I liked them because they allow for comparison across metrics – for example ‘flipping’ rankings so that smaller numbers score higher, allowing comparison with other metrics such as authorities which are incremental – and also because they aligned with the hitherto ‘best’ solution I’d found at It seemed these three sites broadly agreed on a set of parameters to use, so I decided to simulate this, initially by recreating the top 25 blogging sites table for myself, then adapting this for PR.

So does this table really show influence? Actually, I think it does. I know companies such as Onalytica would disagree, but I think within a suitably small sample set you can equate popularity with influence. We’re comparing apples with apples here. It’s not as if I’ve put scobleizer in here. These are all PR blogs.

As with my recent SEO keywords post, these results are now in a new page and will be revisited at some point to get an idea of movement. But before I waffle on, here they are, with the score for each parameter out of ten giving a possible maximum of 40 (and not beautifully formatted but WordPress doesn’t like complex html tables for some weird reason so I had to use a graphic instead):

The methodology was fairly simple. I recreated the top 25 blogs about blogging table, figuring out how the ranges had been created and the rankings handled. Then I just copied my PR blogroll into Excel and went about the same business, although I had to use different ranges: blogs about blogging are much more popular than about PR, so by the same value ranges all the PR blogs would have scored very low.

This brings out one of the difficulties when looking at influence vs popularity. While the ‘blogging blogs’ might be much more popular generally, I imagine they’re not as influential in the PR world. Likewise, some of the heavyweights in the PowerPR index might not cut it in the blogging world, yet when some of these people speak, PR people listen.

If you want to know what the Google Page Rank, Alexa, Bloglines and Technorati parameters are, refer to my earlier post on the subject. To find out more about the methodology, refer to the 25 Blogs about Blogging post. And if you want to check out the blogs themselves, they’re all under ‘PR links’ to the left of this blog, and you can subscribe to an aggregated feed of the whole lot here.

I’m not sure how much of my own interpretation of the results I should add here, except to say that I wonder whether colleagues Neville Hobson and Shel Holtz will fall out because one is ranked above the other, and a big up to Spudgun for scoring absolutely nothing on any of the parameters. Nul points – it’s a considerable achievement (zero indicates no data available).

As for myself, well I hope people find these results interesting enough to push me up the rankings. I don’t necessarily want to be popular. OK, I do.

Finally, this took me ages, not least because working online can be so sllooooow. I have a strong feeling the Power 150 is automated. I tell you, if I ever have to work in a totally ASP environment I would go mad.

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12 thoughts on “The Friendly Ghost PowerPR Index: The top 70 (or so) PR blogs

  1. Great list!
    I especially find it interesting how some of the blogs perform substantially better in for example Technorati than Google.
    The Google metric can be interpreted as “non-contextual influence” (it takes indirect linking into account as well) whereas the 3 other metrics are pure popularity measures (where all links (votes) count the same).

    Without having investigated it I would expect that those who perform substantially better on the Google metric have more inbound links from “heavier” players and vice versa.

    There can also be a time latency effect. Google’s PageRank is not updated nearly as frequent as the other metrics.

  2. Our Bloglines number should be about 12 not 0. Could you fix that please? Thank you.

    Also, why do you think your results diverge so significantly from Todd And’s? And yes, his are automated and up to date.

    Amanda Chapel
    Managing Editor

  3. Nice post. Way hey! I’m second out of the UK bloggers.

    My Bloglines stats need bumping up too as my blog has three feeds (daft I know) – collectively my Bloglines subscribers are 235.

    P.S I received a referral from this blog post but I can’t find the link to my blog from it? Weird.

  4. Can I Just point out, by way of mitigating circumstances, that the spud gun in, its current incarnation, is a mere two says old… but thanks (I think)for including us.

    So we have “must try harder” on this terms report card.

  5. Pingback: In the Same League…? « The Spud Gun

  6. Amanda, I have double-checked the bloglines subscriptions for Strumpette. It seems you have two feeds – and – and according to bloglines, neither of them have public subscribers, hence your figure here is zero. I’m more than happy to change this if I’m in error, but I’ll need you to direct me to the right figure. EDIT: I have just done this again using the bloglines ‘subscribe’ button and it is listing more feeds. Why bloglines is behaving differently this time, I do not know.
    Regarding the divergence, I have just been through the PR sites on Todd’s list and whereas there is some correlation I do take your point that there are also differences. I think this comes about because Todd And applies different weights, with bloglines from 1 to 20, Technorati from 1 to 30, and the mysterious ‘Todd And’ factor that he throws in. I took the approach given by the Top 25 Blogs because I felt it was easier to quantify if each parameter was out of ten.
    However, on reflection, I can see that it might make more sense to have directly comparable figures in this case, simply because there is overlap between the two lists. Whether or not I agree that bloglines and technorati should be given more weight, perhaps I should look into simulating Todd’s approach instead.
    I guess this just shows the difficulty not just in defining influence, but in obtaining directly comparable figures even for popularity.
    So, I’m going to look into this today. I’ll reconstruct the Todd And table just to make sure I’m following the same principles, and see how that affects the table (although I can’t add the ‘Todd And’ factor unfortunately).

  7. Thanks for the warning Scott. 🙂

    In the interests of open, real-time, unedited dialogue, here’s the story so far. I’ve replicated the bloglines section – and there are some very strange discrepancies between what I see when I look at blogines subscriptions, and what the Power150 must see. There are quite a few sites that list very low subscription scores, and yet they score quite highly on the Power150. By ‘subscription rates’, I mean going to the site, clicking the Bloglines sub button, and counting up the subs on the feeds listed.

    Because of this, I’m minded to remove the bloglines section altogether until I get clarification. When I do remove the bloglines scoring, the table starts to make more sense.
    I’ve emailed the author to see if I can get insight into what’s going on.

    I don’t think this is a problem because I’m still using Alexa, which could just substitite for the bloglines data.

    I am currently looking into the Technorati rankings and hope to get this sorted soon. I’m still confident that this will account for any more discrepancies, simply because the Technorati figure on the Power150 is given more weight, with a value up to 30. I find this oddddddd, but I’m prepared to go with it for the sake of comparison.

    The big question I guess is: should FG have verified all this before publishing? Well, I kind of did: I was able to rebuild the ‘top 25 bloggers about blogging’ table accurately, and this was what I took as my methodology. But it seems that on looking deeper into this to simulate the Power150, something strange is happening with bloglines, and that, for the purposes of comparison, I should be closer to the Power150 for Technorati scores.

    So this is being worked on right now. I’m removing bloglines, revamping Technorati, but keeping Alexa.

    So, keep your claws retracted PR people! I’m on the case.

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