Archive for the ‘porter novelli’ Category
« Older EntriesToday’s “Integration Triangle” presentation
Wednesday, April 15th, 2009
These are the slides from a presentation I did this morning on the topic of the Integration Triangle. I’ve talked about this here before in the article “5 Straightforward Ways To Integrate Your Communication Activities” — this includes some quick case studies.
I created these slides to support the presentation I was giving: they aren’t the presentation itself. This means that while you’ll be able to have a good guess at what I was saying most of the time, there will be moments when my meaning is opaque.
There are 70 slides in the presentation, including the front and back cover. Nevertheless, I gave the presentation in under 25 minutes. To save you doing the maths, that averages out at around 3 slides every minute (actually, there was a 4 minute delay in the middle of the presentation — so it’s more like 3-and-a-half slides per minute.)
In fact, my slides fall into two categories — those on which I spend fewer than 5 seconds, and those on which I spend more than a minute. This is more an artistic decision than anything else — I think that lots of slides going past very quickly give an appearance of pace and energy (which I dearly need first thing in the morning), but can rapidly become exhausting to watch and hard to follow without the occasional pause for breath.
Even with 70 slides, there’s so much more that I can say about the “Integration Triangle” as a planning tool — but I was trying to keep this to a single simple message. I’m hoping that (whatever they thought about my presentation, and no matter whether they liked it or believed what I was saying) the audience will remember what it was that I was saying, and be able to tell a version of the story themselves.
There’s just so much that we can talk about when it comes to the whole Digital PR thing that it all becomes rather overwhelming. I’ve just got off the phone to a colleague in Vienna (where I’m speaking next week) who wants me to talk to his audience about “Facebook and Twitter and Blogs” (oh my!) And I’ve got 45 minutes to do this. Of course I can do it. But what on earth is the “one thing” I want them to remember?
Tags: get on board, life's for sharing, orange, presentation, rockcorps, t-mobile, wwf
Posted in opinion, porter novelli | 2 Comments »
Methodology and thoughts behind those PR Week Twitter stats
Thursday, February 26th, 2009
There’s a school of thought that says that what’s important in social media is to attempt to create debate, not consensus.
Peter Hay from PR Week and I appear to have been rather successful in this. This morning, PR Week published an article, Twitter has suddenly exploded. Almost immediately, Twitter (or at least our particular neighbourhood of Twitter) suddenly exploded.
One or two people were rather scathing: suggesting that the stats demonstrated that Peter and I didn’t understand the “essence of Twitter” or that they were “obviously flawed”, or that we had “redefined shallow”.
Indeed (horror of horrors) some people even went so far to suggest that Porter Novelli had ginned up the results to put us at the top. In fact, in PR week’s list, we came second. But no doubt this was a Machiavellian ploy — it’s details like those, Pooh Bah would say, that “give artistic verisimilitude to an otherwise bald and unconvincing narrative.”
I joke, but I can completely understand people’s strong feelings about this; PR Week was torn between a desire to cover our approach (and give credit where appropriate) and a need to keep the article readable and relevant to the greater proportion of their readers.
I’d like to share our methodology with you all so that you can repeat our experiments, should you so wish. After that, I’ll talk about the methodology that we were originally going to follow,
Tomorrow (once it’s had a chance to blow over), I’ll post some quick thoughts on the whole storm-in-a-Tweetcup thing.
Methodology
We used Michael Litman’s (@litmanlive) list of UK Media Tweeple. This was based on original work by Stephen Davies (@stedavies) but has been wikified so that agencies can (should they so choose) keep their information up to date.
Lots of people on the list were pretty borderline — there are in-house teams and vendors there, as well as agencies with a significantly broader remit than simply “PR”. I am a relative newcomer to the world of PR, and was more than happy to let PR Week define who is PR and who isn’t, but we erred on the generous side. We are Social, for example, made the cut to be on the research list.
Had we had the time, I’d have sent a note out over Twitter asking everyone to update their entries. Time, however was not on our side, and I didn’t even get around to hinting at what I was doing until the evening of the 23rd.

By then though it was already clear that I had a large job on my hands; there were almost 350 people on the list. On the whole, the UK PR community should be proud of how quickly it has reacted to the whole “Twitter thing”.
I took the list, published it as a Google Spreadsheet and — using a Yahoo! Pipe that I adapted for the purpose, queried the Twitter API for the summary data on each account on that list.
Twitter gives you all sorts of interesting information, but what we were grabbed were the following:
- Date joined Twitter
- Number of Friends
- Number of Followers, and
- Number of Updates.
That allowed us to create this spreadsheet, from which the stats mentioned in the PR Week article were taken.
Again, Porter Novelli took no part in the editorial decisions (although they seem pretty straightforward.) You will recall that Peter and Gemma were writing for a general readership, not for the Twitterverse!
Methodology we’d like to have used
Those of you who’ve read my blog before will know that my real interest in Twitter is more complex than the previous methodology would suggest. When Peter and I first discussed the exercise on Monday we had been hoping to do something more along the lines of the network analysis that we’ve been fiddling with at Porter Novelli.
Here are some points to bear in mind.
First of all, not all followers are created equal. If I have only ten followers, but they each have a thousand followers, that may mean I have more opportunity-to-influence than if I had a hundred followers with only ten followers each.
More to the point, the fewer people those ten people follow themselves, the more influence I wield within their networks (if I am one of only ten people they follow between them, I will have greater share-of-voice than if I am merely one of ten thousand.)
Secondly, the followers whom I don’t share with the rest of the network count for more than those who follow several (or many) of my peers. The more “exclusive” my follower-base, the greater my control over on the flow of information within the overall network, and the greater my value to the network.
I’ve been doing some work looking at unduplicated reach among twitter networks. For example, looking at Porter Novelli’s own global Twitter footprint, it was interesting to see how many of our contacts were duplicated.
So what Peter and I really wanted to do was to use some of these techniques on the PR Week data set. For those of you with a mathematical (or social network analytical) bent, we were going to run some eigenvector shizzle on the whole bizzle. Oh — and look at unduplicated reach for the various companies on the list.
What went wrong?
It was always an ambitious project. The 344 people who were under analysis had a fairly daunting 95K followers between them. The Twitter API lets you make 100 requests an hour, and each request returns data on up to 100 followers. Even if we were to assume that everyone had followers in nice tidy multiples of 100 (they don’t) then it would have taken 9.5 hours to download the data using one Twitter login.
The trick of course, is to use more than one login. Tim Hoang (@timhoang) and I quickly registered 50 temporary accounts to power the API requests. Twitter’s terms have historically been quite relaxed about this sort of thing, and we’ve always been very careful to try and stay within the spirit of those terms.
But.
Twitter has been hit lately by a bunch of bad things (like spam bots and pyramid schemes), and they’re tightening up their defenses. This past weekend, they’ve tightened up a lot, and things that used to be fine just aren’t.
We managed to collect information on only around 60K followers out of the 95K. This was too large a margin of error to correct (although we made several attempts to do so).
So — we had to abandon our grand plans, and revert to the simple counts approach (as detailed above.) This won’t stop us trying to improve our processes, but we’ll need to talk to Twitter about that.
Some thoughts
Kate Hartley from Carrot Communications (who sits with me on the PRCA’s Digital Working Group) joked that it’s strange how PR people create research-for-news-stories for their own clients on a daily basis, but are miffed when their own techniques are used against them. At one level, I agree with her — I think that some people are probably disappointed that they aren’t the ones with their names on the research.
But there’s more to worry about than that. Here are my thoughts.
- For God’s sake get over yourselves! We’re talking about Twitter here, not the economy. Worry about something important, why don’t you? I still can’t get over the fact that — when a pilot managed land an airplane on a river, the story we all tell each other is “how it broke on Twitter.” What — the story’s not about a man who magically landed a f*cking plane on a f*cking river? Are we really getting this right?
- How influential you are on Twitter is not a real thing. It doesn’t really matter how many Twitter friends you have (although I’ve now got heaps, thank you very much!) Context is everything. My boss, who runs Porter Novelli’s EMEA network and sits on our Executive Committee is on Twitter. She is more influential than I, and will continue to be, no matter how many Twitter followers I accrue.
Twitter is just one channel through which exercise your influence. Don’t give up on your blogs, your Facebook pages, your Amazon reviews, or your Last.fm playlists or your IM friend lists, for God’s sake. But remember, it’s who you are, and your relationships that matter; your “context”, and not your “counts.”
- The really interesting question isn’t “who are the Twitterati” or twitter influencers. I’m interested in the Twitter thing mainly because I want to see how well it reflects real life. After today, I’d probably say that it doesn’t very well, wouldn’t you?
Be warned — I may just follow this research up with some research on “how many phone numbers PR people have on their mobile phones.”
Tags: pr week
Posted in pipes, porter novelli, twitter | 21 Comments »
Pareto Novelli — Some Q&As
Sunday, February 1st, 2009
A recent post about some Pareto analysis of the Porter Novelli Twitter sample , “Porter Novelli Twitter folk – the 80/20 rule”, stirred up a little bit of interest on Twitter — and made me think again about what I’m doing and why. Partly because those conversations were off-blog (and I’d like to capture the answers I gave somewhere more permanent) and partly because I’ve now had time to think of better answers I thought I’d set them down here.
First, a little background. This Q&A is the sixth post in an impromptu series about the Twitter people where I work (Porter Novelli, the international public relations agency.) By now you might think that I’d be tired of this stuff, but you’d have another think coming. Here’s a quick list to bring you up to date.
- Map of Porter Novelli people on Twitter on 17th Jan 2008
- Map of Porter Novelli people on Twitter on 20th Jan 2008
- Introducing the Porter Novelli magic Twitter friend maker (beta)
- Porter Novelli Twitter folk ranked by number of followers
- Porter Novelli Twitter folk – the 80/20 rule
Looking at this, you might also think I clearly had nothing better to do than analyze Porter Novelli people and their Twittering ways. In fact, as an experimental data set, I couldn’t really ask for anything much better. It’s sufficiently large (more than 200 people), international (I’ve counted more than 10 countries — and I’m sure there are more), and I have some real-world access to all of the people in the sample, which means I can compare my findings with some hard data.
That said, the experiment is more about learning about how we can analyze Twitter networks — about discovering how representative they are as a word-of-mouth (WOM) channel for example, and what they can tell us about other kinds of social network, or about finding new ways to analyze such data sets — than it is about answering any specific questions. So I’ve not got any carefully mapped-out research plan. Instead I follow paths that strike me as interesting, or possible, or that are suggested to me by friends and readers.
Question 1
Tags: pareto, porter novelli, twitter
Posted in porter novelli, twitter | 7 Comments »
Porter Novelli Twitter folk – the 80/20 rule
Thursday, January 29th, 2009
Last weekend I posted a chart of Porter Novelli Twitter folk and their followers. If you read it, you’ll recall that I was dissatisfied by what it implied about the collective reach of Porter Novelli twitterers.
Well, thanks to a long-ish train journey to Bolton and back, I was able to fudge a little perl script together to look through the data to find and remove everything other than the first instance of a follower. Let’s make that a little clearer. Let’s say that we’re looking at three Twitter people, Alice, Bob, and Carol. The first thing to do is to see who follows them:
| alice | bob | carol |
| bob carol dave xerxes yasmine zeus |
alice carol edward william xerxes yasmine zeus |
alice bob frank william xerxes |
Now we need to rank them in order of “who has the most followers” (also known as “popularity” as it happens). Here I’ve done that from left to right. Bob has the most followers and Carol the fewest.
| bob | alice | carol |
| alice carol edward william xerxes yasmine zeus |
bob carol dave xerxes yasmine zeus |
alice bob frank william xerxes |
And finally we go through from left to right removing all followers who have already shown up on someone else’s list.
| bob | alice | carol |
| alice carol edward william xerxes yasmine zeus |
bob dave |
frank |
Bob, being at the top of the list gets to keep all his followers which may seem unfair. But it’s not unfair if the question we’re trying to answer is “how do I reach as many people as possible by speaking to as few people as possible?” That is, I’m looking for reach (marketing people often express themselves in terms of “reach” — or the number of people who are exposed to a message — and “frequency” — or the number of times the average person is exposed to that message.)
Looking at the example above, we can see that Alice really delivers an incremental benefit of two new people, and Carol only reaches one new person. That gives us a much better idea of how valuable the most popular person (Bob) really is.
Applying this to the Porter Novelli data set
Clearly it would be extraordinarily boring to perform the process described above for the 205 people in the Porter Novelli data set that I want to analyse. But the analysis script that I wrote (with plenty of help from the perl monks) goes through exactly these steps. It’s a pretty straightforward job, ranking and deduping. Here’s what we get.
This makes much more sense than the last run. According to the Pareto principle, roughly 80% of the effects should come from 20% of the causes. Here we see that 20% of the Porter Novelli Twitter users (marked in black) account for slightly more than 80% of the reach (marked in red.) It’s pretty much a text-book example. Things are as they should be, I suppose.
More to the point, we can now assign appropriate value to coverage at the head of the graph. This is of great value when thinking about our media planning and engagement
By the way — if you’d like a copy of either the Twitter follower API query engine (it’s a well-behaved command-line thing that was developed by the excellent Joachim Larsen) or the slightly shonky perl script that I wrote on the train, you have only to ask: I’ll be pleased to share. Send me a tweet at @mediaczar and I’ll send you the scripts.
Posted in porter novelli, twitter | 5 Comments »
Porter Novelli Twitter folk ranked by number of followers
Sunday, January 25th, 2009
Yesterday I did a little work with the TwitterCounter API. Today I’ve gone a little further and (purely as an experiment) ranked a list of Twitter people in Porter Novelli by the number of their followers.
What happens if we chart this? Here’s a kind of Pareto chart showing users ranked in order of followers and the total reach that we get at each stage.
If you’ve seen this kind of thing before, it looks wrong, doesn’t it? That red curve should be steeper at the beginning and have longer flatter asymptote. If you’ve ever heard of the 80/20 rule this is one of the graphs that describes it. Normally the head of the graph (the first 20% of the x-axis) controls around 80% of the value while the tail (the remaining 80% of the x-axis) controls around 20% of the value. If you’ve ever heard about the long tail, it’s this tail that Chris Anderson et al. are talking about.
What’s wrong with the data?
It’s not so much the data as what I’ve not done with it. There must be many, many duplicated connections here. So now I need to write something that will go through the followers of all the Porter Novelli Twitter usernames in ranked order, and only count unique (or unduplicated) followers.
I’m hoping that when I re-do the chart, it will look something more like this:
Posted in porter novelli, twitter | 1 Comment »
Introducing the Porter Novelli magic Twitter friend maker (beta)
Thursday, January 22nd, 2009
A couple of days ago, I posted a map of all the Porter Novelli people we knew of who are tweeting. The list keeps getting bigger: at today’s count, there are 212 known Twitter people.
At the moment, I manage three Twitter accounts (thanks mostly to the excellent Twhirl Twitter client that lets me log in simultaneously to as many accounts as I like. Two of those accounts are Porter Novelli-related, so it was essential that I follow everyone. Of course, I could simply set up an auto-follow using something like Tweetlater , but that wasn’t going to work if people didn’t know about and follow those accounts in the first place.
(more…)
Posted in porter novelli, twitter | 1 Comment »










