Tag Archive for 'attention economy'

My presentation at Kickstart forum

I’m currently at Kickstart forum (along with the Mickster), and I just gave a presentation on DataPortability to a bunch of Aussie journalists. I didn’t write a speech, but I did jot down some points on paper before I spoke, so I thought I might share them here given I had a good response.

My presentation had three aspects: background, explanation, and implications of DataPortability. Below is a summary of what I said


  • Started by a bunch of Australians and a few other people overseas in November 2007 out of a chatroom. We formed a workgroup to explore the concept of social network data portability
  • In January 2008, Robert Scoble had an incident, which directed a lot of attention to us. As a consequence, we’ve seen major companies such as Google, Microsoft, Yahoo, Facebook, Six Apart, LinkedIn, Digg, and a host of others pledge support for the project.
  • We now have over 1000 people contributing, and have the support of a lot of influential people in the industry who want us to succeed.


  • The goal is to not invent anything new. Rather, it’s to synthesise existing standards and technologies, into one blueprint – and then we push it out to the world under the DataPortability brand
  • When consumers see the DataPortability brand, they will know it represents certain things – similar to how users recognise the Centrino brand represents Intel, mobility, wireless internet, and a long battary life. The brand is to communicate some fundamental things about a web service, that will allow a user to recognise a supporting site respects it’s users data rights and certain functionality.
  • Analogy of zero-networking: before the zeroconf initiative it was difficult to connect to the internet (wirelessly). Due to the standardisation of policies, we can now connect on the internet wirelessly at the click of a button. The consequence of this is not just a better consumer experience, but the enablement of future opportunities such as what we are seeing with the mobile phone. Likewise, with DataPortability we will be able to connect to new applications and things will just “work” – and it will see new opportunity for us
  • Analogy of the bank: I stated how the attention economy is something we give our attention to ie, we put up with advertising, and in return we get content. And that the currency of the attention economy is data. With DataPortability, we can store our data in a bank, and via “electronic transfer”, we can interact with various services controlling the use of that data in a centralised manner. We update our data at the bank, and it automatically synchronises with the services we use ie, automatically updating your Facebook and MySpace profiles


  1. Interoperability: When diverse systems and organisations work together. A DataPortability world will allow you to use your data generated from other sites ie, if you buy books on Amazon about penguins, you can get movie recommendations on your pay TV movie catalog for penguins. Things like the ability to log in across the web with one sign-on, creates a self-supporting ecosystem where everyone benefits.
  2. Semantic web: I gave an explanation of the semantic web (which generated a lot of interest afterwards in chats), and then I proceeded to explain that the problem for the semantic web is there hasn’t been this uptake of standards and technologies. I said that when a company adopts the DataPortability blueprint, they will effectively be supporting the semantic web – and hence enabling the next phase of computing history
  3. Data rights: I claimed the DataPortability project is putting data rights in the spotlight, and it’s an issue that has generated interest from other industries like the health and legal sectors, and not just the Internet sector. Things like what is privacy, and what exactly does my “data” mean. DataPortability is creating a discussion on what this actually means
  4. Wikiocracy: I briefly explained how we are doing a social experiment, with a new type of of governance model, which can be regarded as an evolution of the open source model. “Decentralised” and “non-hierarchical”, which with time it will be more evident with what we are trying to do

Something that amused me was in the sessions I had afterwards when the journalists had a one-on-one session with me, one woman asked: “So why are you doing all of this?”. I said it was an amazing opportunity to meet people and build my profile in the tech industry, to which she concluded: “you’re doing this to make history, aren’t you?”. I smiled 🙂

Pageview’s are a misleading metric

Recently MySpace, the social networking site that once dominated but is now being overtaken by Facebook, sent me an e-mail informing me that a friend of mine had a birthday. What is unusual, is that although I have received notifications of this type when I had logged into the site, I had never been e-mailed.

Below is a copy of the e-mail, and lets see if you notice what I did:

It doesn’t tell me whose birthday it is. In fact, it is even ambiguous as to whether it was just the one person or not. Big deal? Not really. But it very clearly tells me something: MySpace is trying to increase its pageviews.

Social networking sites are very useful services to an individual; they enable a person to manage and monitor their personal networks. Not only am I in touch with so many people I lost contact with, but I am in the loop with their lives. I may not message them, but by passive observation, I know what everyone is up to. Things like what they’re studying, where they work, what countries they will be holidaying in, and useful things like when they have their birthday.

Social networking sites are not just a website, but an information service, to help you manage your life. However as useful as I find these services, the revenue model is largely dependent on advertising, with premium features a rare thing now. So when you rely on advertising, you are going to be looking at ways of boosting the key figures that determine that revenue stream.

Friendster’s surprising growth in May was due to some clever techniques of using e-mail, to drive pageviews. And it worked. E-mail notifications, when done tactfully, can drive a huge amount of activity. Of the what seems like hundreds of web services I have joined, e-mail at times is the only way for me to remember I even subscribed to it once upon a time. Combine e-mail with information I want to be updated with, and you’ve got a great recipe for using e-mail as a tool to drive page views.

…And that is the problem. MySpace has very cleverly sent this e-mail to get me to log into my account. A marketing campagn like that will at the very least, see a good day in pageview growth. But the reason I am logging in, is just so I can see whose birthday it is. Myspace now to me is irrelevant: those pageviews attributed to me are actually, not one of an engaged user.

Pageviews as a metric for measuring audience engagement is prone to manipulation. Increases in pageviews on the face of it, make a website appear more popular. But in reality, dig a little deeper and the correlation for what really matters (audience engagement) is not quite on par.

So everyone, repeat after me: Pageviews – we need to drop them as a concept if we are ever going to make progress.

How Google reader can finally start making money

Today, you would have heard that Newsgator, Bloglines, Me.dium, Peepel, Talis and Ma.gnolia have joined the APML workgroup and are in discussions with workgroup members on how they can implement APML into their product lines. Bloglines created some news the other week on their intention to adopt it, and the announcement today about Newsgator means APML is now fast becoming an industry standard.

Google however, is still sitting on the side lines. I really like using Google reader, but if they don?¢‚Ǩ‚Ñ¢t announce support for APML soon, I will have to switch back to my old favourite Bloglines which is doing some serious innovating. Seeing as Google reader came out of beta recently, I thought I?¢‚Ǩ‚Ñ¢d help them out to finally add a new feature (APML) that will see it generate some real revenue.

What a Google reader APML file would look like
Read my previous post on what exactly APML is. If the Google reader team was to support APML, what they could add to my APML file is a ranking of blogs, authors, and key-words. First an explanation, and then I will explain the consequences.

In terms of blogs I read, the percentage frequency of posting I read from a particular blog will determine the relevancy score in my APML file. So if I was to read 89% of Techcrunch posts ?¢‚Ǩ‚Äú which is information already provided to users ?¢‚Ǩ‚Äú it would convert this into a relevancy score for Techcrunch of 89% or 0.89.


APML: pulling rank

In terms of authors I read, it can extract who posted the entry from the individual blog postings I read, and like the blog ranking above, perform a similar procedure. I don?¢‚Ǩ‚Ñ¢t imagine it would too hard to do this, however given it?¢‚Ǩ‚Ñ¢s a small team running the product, I would put this on a lower priority to support.

In terms of key-words, Google could employ its contextual analysis technology from each of the postings I read and extract key words. By performing this on each post I read, the frequency of extracted key words determines the relevance score for those concepts.

So that would be the how. The APML file generated from Google Reader would simply rank these blogs, authors, and key-words – and the relevance scores would update over time. Over time, the data is indexed and re-calculated from scratch so as concepts stop being viewed, they start to diminish in value until they drop off.

What Google reader can do with that APML file
1. Ranking of content
One of the biggest issues facing consumers of RSS is the amount of information overload. I am quite confident to think that people would pay a premium, for any attempt to help rank the what can be the hundreds of items per day, that need to be read by a user. By having an APML file, over time Google Reader can match postings to what a users ranked interests are. So rather than presenting the content by reverse chronology (most recent to oldest); it can instead organise content by relevancy (items of most interest to least).

This won?¢‚Ǩ‚Ñ¢t reduce the amount of RSS consumption by a user, but it will enable them to know how to allocate their attention to content. There are a lot of innovative ways you can rank the content, down to the way you extract key works and rank concepts, so there is scope for competing vendors to have their own methods. However the point is, a feature to ?¢‚ǨÀúSort by Personal Relevance?¢‚Ǩ‚Ñ¢ would be highly sort after, and I am sure quite a few people will be willing to pay the price for this God send.

I know Google seems to think contextual ads are everything, but maybe the Google Reader team can break from the mould and generate a different revenue stream through a value add feature like that. Google should apply its contextual advertising technology to determine key words for filtering, not advertising. It can use this pre-existing technology to generate a different revenue stream.

2. Enhancing its AdSense programme

blatant ads

Targeted advertising is still bloody annoying

One of the great benefits of APML is that it creates an open database about a user. Contextual advertising, in my opinion is actually a pretty sucky technology and its success to date is only because all the other types of targeted advertising models are flawed. As I explain above, the technology instead should be done to better analyse what content a user consumes, through keyword analysis. Over time, a ranking of these concepts can occur ?¢‚Ǩ‚Äú as well as being shared from other web services that are doing the same thing.

An APML file that ranks concepts is exactly what Google needs to enhance its adwords technology. Don?¢‚Ǩ‚Ñ¢t use it to analyse a post to show ads; use it to analyse a post to rank concepts. Then, in aggregate, the contextual advertising will work because it can be based off this APML file with great precision. And even better, a user can tweak it ?¢‚Ǩ‚Äú which will be the equivalent to tweaking what advertising a user wants to get. The transparency of a user being able to see what ‘concept ranking’ you generate for them, is powerful, because a user is likely to monitor it to be accurate.

APML is contextual advertising biggest friend, because it profiles a user in a sensible way, that can be shared across applications and monitored by the user. Allowing a user to tweak their APML file for the motivation of more targeted content, aligns their self-interest to ensure the targeted ads thrown at them based on those ranked concepts, are in fact, relevant.

3. Privacy credibility
Privacy is the inflation of the attention economy. You can?¢‚Ǩ‚Ñ¢t proceed to innovate with targeted advertising technology, whilst ignoring privacy. Google has clearly realised this the hard way by being labeled one of the worst privacy offenders in the world. By adopting APML, Google will go a long way to gain credibility in privacy rights. It will be creating open transparency with the information it collects to profile users, and it will allow a user to control that profiling of themselves.

APML is a very clever approach to dealing with privacy. It?¢‚Ǩ‚Ñ¢s not the only approach, but it a one of the most promising. Even if Google never uses an APML file as I describe above, the pure brand-enhancing value of giving some control to its users over their rightful attention data, is something alone that would benefit the Google Reader product (and Google?¢‚Ǩ‚Ñ¢s reputation itself) if they were to adopt it.


Privacy. Stop looking.

Hey Google – can you hear me? Let’s hope so, because you might be the market leader now, but so was Bloglines once upon a time.

Explaining APML: what it is & why you want it

Lately there has been a lot of chatter about APML. As a member of the workgroup advocating this standard, I thought I might help answer some of the questions on people’s minds. Primarily – “what is an APML file”, and “why do I want one”. I suggest you read the excellent article by Marjolein Hoekstra on attention profiling that she recently wrote, if you haven’t already done so, as an introduction to attention profiling. This article will focus on explaining what the technical side of an APML file is and what can be done with it. Hopefully by understanding what APML actually is, you’ll understand how it can benefit you as a user.

APML – the specification
APML stands for Attention Profile Markup Language. It’s an attention economy concept, based on the XML technical standard. I am going to assume you don’t know what attention means, nor what XML is, so here is a quick explanation to get you on board.

There is this concept floating around on the web about the attention economy. It means as a consumer, you consume web services – e-mail, rss readers, social networking sites – and you generate value through your attention. For example, if I am on a Myspace band page for Sneaky Sound System, I am giving attention to that band. Newscorp (the company that owns MySpace) is capturing that implicit data about me (ie, it knows I like Electro/Pop/House music). By giving my attention, Newscorp has collected information about me. Implicit data are things you give away about yourself without saying it, like how people can determine what type of person you are purely off the clothes you wear. It’s like explicit data – information you give up about yourself (like your gender when you signed up to MySpace).

Attention camera

I know what you did last Summer

XML is one of the core standards on the web. The web pages you access, are probably using a form of XML to provide the content to you (xHTML). If you use an RSS reader, it pulls a version of XML to deliver that content to you. I am not going to get into a discussion about XML because there are plenty of other places that can do that. However I just want to make sure you understand, that XML is a very flexible way of structuring data. Think of it like a street directory. It’s useless if you have a map with no street names if you are trying to find a house. But by having a map with the street names, it suddenly becomes a lot more useful because you can make sense of the houses (the content). It’s a way of describing a piece of content.

APML – the specification
So all APML is, is a way of converting your attention into a structured format. The way APML does this, is that it stores your implicit and explicit data – and scores it. Lost? Keep reading.

Continuing with my example about Sneaky Sound System. If MySpace supported APML, they would identify that I like pop music. But just because someone gives attention to something, that doesn’t mean they really like it; the thing about implicit data is that companies are guessing because you haven’t actually said it. So MySpace might say I like pop music but with a score of 0.2 or 20% positive – meaning they’re not too confident. Now lets say directly after that, I go onto the Britney Spears music space. Okay, there’s no doubting now: I definitely do like pop music. So my score against “pop” is now 0.5 (50%). And if I visited the Christina Aguilera page: forget about it – my APML rank just blew to 1.0! (Note that the scoring system is a percentage, with a range from -1.0 to +1.0 or -100% to +100%).

APML ranks things, but the concepts are not just things: it will also rank authors. In the case of Marjolein Hoekstra, who wrote that post I mention in my intro, because I read other things from her it means I have a high regard for her writing. Therefore, my APML file gives her a high score. On the other hand, I have an allergic reaction whenever I read something from Valleywag because they have cooties. So Marjolein’s rank would be 1.0 but Valleywag’s -1.0.

Aside from the ranking of concepts (which is the core of what APML is), there are other things in an APML file that might confuse you when reviewing the spec. “From” means ‘from the place you gave your attention’. So with the Sneaky Sound System concept, it would be ‘from: MySpace’. It’s simply describing the name of the application that added the implicit node. Another thing you may notice in an APML file is that you can create “profiles”. For example, the concepts about me in my “work” profile is not something I want to mix with my “personal” profile. This allows you to segment the ranked concepts in your APML into different groups, allowing applications access to only a particilar profile.

Another thing to take note of is ‘implicit’ and ‘explicit’ which I touched on above – implicit being things you give attention to (ie, the clothes you wear – people guess because of what you wear, you are a certain personality type); explicit being things you gave away (the words you said – when you say “I’m a moron” it’s quite obvious, you are). APML categorises concepts based on whether you explicitly said it, or it was implicitly determined by an application.

Okay, big whoop – why can an APML do for me?
In my eyes, there are five main benefits of APML: filtering, accountability, privacy, shared data, and you being boss.

1) Filtering
If a company supports APML, they are using a smart standard that other companies use to profile you. By ranking concepts and authors for example, they can use your APML file in the future to filter things that might interest you. As I have such a high ranking for Marjolein, when Bloglines implements APML, they will be able to use this information to start prioritising content in my RSS reader. Meaning, of the 1000 items in my bloglines reader, all the blog postings from her will have more emphasis for me to read whilst all the ones about Valleywag will sit at the bottom (with last nights trash).

2) Accountability
If a company is collecting implicit data about me and trying to profile me, I would like to see that infomation thank you very much. It’s a bit like me wearing a pink shirt at a party. You meet me at a party, and think “Pink – the dude must be gay”. Now I am actually as straight as a doornail, and wearing that pink shirt is me trying to be trendy. However what you have done is that by observation, you have profiled me. Now imagine if that was a web application, where this happens all the time. By letting them access your data – your APML file – you can change that. I’ve actually done this with Particls before, which supports APML. It had ranked a concept as high based on things I had read, which was wrong. So what I did, was changed the score to -1.0 for one of them, because that way, Particls would never show me content on things it thought I would like.

3) Privacy
I joined the APML workgroup for this reason: it was to me a smart away to deal with the growing privacy issue on the web. It fits my requirements about being privacy compliant:

  • who can see information about you
  • when can people see information about you:
  • what information they can see about you

The way APML does that is by allowing me to create ‘profiles’ within my APML file; allowing me to export my APML file from a company; and by allowing me to access my APML file so I can see what profile I have.


Here is my APML, now let me in. Biatch.

4) Shared data
An APML file can, with your permission, share information between your web-services. My concepts ranking books on Amazon.com, can sit alongside my RSS feed rankings. What’s powerful about that, is the unintended consequences of sharing that data. For example, if Amazon ranked what my favourite genres were about books – this could be useful information to help me filter my RSS feeds about blog topics. The data generated in Amazon’s ecosystem, can benefit me and enjoy a product in another ecosystem, in a mutually beneficial way.

5) You’re the boss!
By being able to generate APML for the things you give attention to, you are recognising the value your attention has – something companies already place a lot of value on. Your browsing habits can reveal useful information about your personality, and the ability to control your profile is a very powerful concept. It’s like controlling the image people have of you: you don’t want the wrong things being said about you. 🙂

Want to know more?
Check the APML FAQ. Othersise, post a comment if you still have no idea what APML is. Myself or one of the other APML workgroup members would be more than happy to answer your queries.

Bloglines to support APML

Tucked away in a post by one of the leading RSS readers in the world, Bloglines had announced that they will be investigating on how they can implement APML into their service. The thing about standards is that as fantastic as they are, if no one uses them, they are not a standard. Over the last year, dozens of companies have implemented APML support and this latest annoucement by a revitalised Bloglines team that is set to take back what Google took from them, means we are going to be seeing a lot more innovation in an area that has largely gone unanswered.

The annoucement has been covered by Read/WriteWeb, APML founders Faraday Media,?Ç? and a thoughtful analysis has been done by Ross Dawson. Ben Melcalfe had also written a thought-provoking analysis, of the merits of APML.

What this means?

APML is about taking control of data that companies collect about you. For example, if you are reading lots of articles about dogs, RSS readers can make a good guess you like dogs – and will tick the “likes dogs” box on the profile they build of you which they use to determine advertising.?Ç? Your attention data is anything you give attention to – when you click on a link within facebook, that’s attention data that reveals things about you implicitly.

The big thing about APML is that is solves a massive problem when it comes to privacy. If you look at my definition of what constitutes privacy, the abillity to control what data is collected with APML, completely fits the bill. I was so impressed when I first heard about it, because its a problem I have been thinking about for years, that I immediately joined the APML workgroup.

Privacy is the inflation of the attention economy, and companies like Google are painfully learning about the natural tension between privacy and targetted advertising. (Targetted advertising being the thing that Google is counting on to fund its revenue.) The web has seen a lot of technological innovation, which has disrupted a lot of our culture and society. It’s time that the companies that are disrupting the world’s economies, started innovating to answer the concerns of the humans that are using their services. Understanding how to deal with privacy is a key competitive advantage for any company in the Internet sector. It’s good to see some finally realising that.

Understand your content

I picked up a book my parents used on their recent trip to Greece, which was a guidebook of the Peloponnese. Flicking through this paper book reminded me of my thoughts of how the content business is so rife with piracy. Especially with an online world now, people can copy content – images, text, audio – and mash it up into their own creation. It seems crazy but why do people enter a business like that?

The Information Sector is not only a big money maker, but very unique as well. Yes, it can be copied and ripped off – unlike a barbie doll where its form can’t really be manipulated into a new product. However different from selling barbies, is that information products do things that are very unique in this world and extremely powerful. In my view there are four types of information product, which can be explained under the categories of data or culture.


New data
A friend and aspiring politician, once said to me that “information is the currency of politics”. Reuters, the famed news organisation that supplies breaking news to media outfits across the world – derives 90% of its revenue from selling up-to-the-minute financial information to stockbrokers and the like who profit on getting information before others. New information, like what the weather will be tomorrow, loses value with time (no many care what the weather was eight days ago). But people are willing to pay a price, and a big one, to get access to this breaking news because it can help make decisions.

Old data
On the flip side, old information can be very valuable because of the ability to conduct research and analysis. Search engines effectively fit into this segment of the information economy, because they can query past news and knowledge to produce answers. Extending the weather example, being about to find out that data eight days ago along with the weather exactly one, five and ten years ago – can help you identify trends that, for example, validates the global warming theory.


The third category of information products, I call them simply analysis because what they are is unique insight into things. We all have access to the same news for example, but it takes a smart thinker to create a prediction, by pulling the pieces together and creating new value from them. Analytical content usually gets plagiarised by students writing essays, but its also the stuff that shapes peoples perceptions in world-changing ways.

One of the most powerful uses of content is the way it can impact people – entertainment type content is the stuff that generates emotion in people. Emotions are a key human trait that you should keep in mind in any decision – no matter how logical someone is, the emotional self can overtake. A documentary that portrays an issue negatively, and that can generate an angry response in a person, is the stuff that can topple governments and corporations.

Not all information is equal
If you are a content creator, you need to accept that other people can copy your creation. The key is to understand what type of content you are creating, and develop a content strategy that exploits its unique characteristics.

Information products need different strategies in order to effectively monetise them. Below is a brief discussion which extends on the above to help you understand.
New data
With this type of content, the value is in the time; the quicker that information can be accessed, the more useful it is. News items (like current affairs) fit into this category. As a news consumer, I don’t care how I get my news, but I care about how quickly I can get it. It’s for this reason I no longer read newspapers, yet through various technologies like RSS and my mobile phone, that I probably consume more news than ever before.

You should sell this data based on access – the more you pay, the quicker the access. Likewise, the ability to enable multiple outputs is key – you need to be able to deliver your content to as many different places as possible: SMS, email, RSS etc. You should not discriminate on the output; the value is on the time.

If you create news breaks, why are you wasting your time on who can access that information, because of the threat that someone can copy it? If the value is in the time, who cares who copies it because by the time they republish it, its already lost value. A flash driven site like the Australian Financial Review is an example of a management that doesn’t realise this.

Old data
A recent example of action in this space is the New York Times who have recently removed their paid subscription wall, which was previously only available via subscription but now can be accessed by anyone for free. This is a smart business move, because if you are selling archived content, you will make more money by having more people know what exists. A paid wall limits people using it which decreases the opportunity for consumption: you a relying on a brand only to create demand. If you are website with a lot of historical content – restricting access is stupid because you are effectively asking people to pay for access to something that they have no idea what value it holds for them. It’s a bit like traveling – if you’ve never been overseas, you don’t know what you are missing out on. Give people a taste of the travel bug, and they will never be able to sit still.

Unlike new data where the value is based on time, old data finds value on accessibility. People will place value on things like search, and the ability to find relevant content through the mountains of content available. Here the multitude of outputs doesn’t matter, because researchers have all the time in the world. What matters is a good interface, and powerful tools to mine the data: the value is on being to find information. You shouldn’t charge people on access to the content; where you will make money is on the tools to mine the data.

This type of content is difficult to create, but easily ripped off by other people – just think of how rife plagiarism is with schools and universities, where the latter treats plagiarism as a crime just short of murder. You can distinguish this type of content as it demonstrates the ability to offer content that is was produced from a common set on inputs that anyone could access, and creating a viewpoint that only a certain type of person could create. The value is on the unique insight.

Despite the higher intlellect to product, it unfortunately is content that is harder to capitalise on. A lot of technology blogs feel the pressure of moving into a more news style than analytical service because news is what gets eyeballs. If you are a blogger looking to make money – the new data approach above should be your strategy. But if you are a blogger trying to build your brand – do analysis. The consequence with analysis is that its harder to do, so you shouldn’t feel pressured to produce more content. I’ve noticed a trend for example, that if I post more blog postings, I will get more traffic. But on the same token, more postings puts more pressure on me, which means less quality content. Understand that the value of analysis isn’t dependent on time. Or better said, the value of analysis is not how quickly it gets pumped out and realised, but how thoroughly it gets incubated as an idea and later communicated.

The value for analysis is clarity and ability to offer new thoughts. To look at the relationship with advertising models, new data like news (discussed above) typically gets higher viewers – which works for the pageview model (the more people refreshing, the more CPMs). Analysis, on the other hand, works with the time spent model. Take advantage of the engagement you have with those types of readers, because you are cultivating a community of smart people – there can be a lot more loyalty with that type of readership.

My sister downloads the Chaser’s War on Everything as a podcast. She first came across them on the radio, but she now downloads the podcasts religiously. Even though I knew about the Chaser’s efforts for years in their various products, I didn’t realise they were still around. If the last few weeks, I have been noticing my friends bring up the shows they are doing. The value in this content was the ability to make people laugh, due to their unique stunts. Their brand is built because of word of mouth recommendations.

Like analysis, entertainment can be a very hard thing to generate because it relies on unique thinking. With a strong brand, people will pay for access to that content. Although it may seem that the viral spreading of funny content for free is a nightmare for a content producer trying to collect royalties, it’s actually a good thing because it entrenches the brand: more people will find out about it. The nature of entertainment, like analysis, is that it is difficult to do repeatedly. Sure people can copy your individual tricks – but they can only do so after the fact. They can’t pre-anticipate the next thing you will do; because unlike breaking news which is on how quickly you can pump out content, entertainment content requires a unique creative process to produce it.

The key with entertainment content, is to build a relationship with an audience and to sustain it. Create a predictable flow of content. Encourage people copying it, because all it does it get more people wanting to see what you come up with next. If it wasn’t for Stephen Colbert‘s clips on Youtube, I would never have realised his brilliance. Not knowing he existed, means a DVD set of his shows means nothing to me (but which holds a lot of value now). The value of entertainment is to generate emotions in people repeatedly. Emotions are a powerful influence on human behaviour – master that and you can be dangerous!

Concluding thoughts
This posting only touches on the issues, but what I suggest is that creators of content need to look at what type of content they are producing, for them to exploit its unique aspects. Content represents human ideas, and content isn’t distiguished by a physical form. The theft of your content should be a given and can actually help you. Depending on what that content is, there may be natural safeguards that make it irrelevant (ie, the time value of news).

A casual chat with a media industry insider

Today I had the chance of picking the mind of Achilles from the International Herald Tribune, who last year was appointed Vice-President, circulation and development. Achilles is a family friend and I took the opportunity to talk to him about the world of media and the challenges being faced.

The IHT is one of the three daily financial newspapers of the world, along with the Wall Street Journal and the Financial Times. It is currently owned by the New York Times, and has a global circulation of 240,000 people. I had a great chat on a lot of different themes which could have me blog about for a week straight, but here are some of the facts I picked up from our discussion, which I will summarise below as future talking points:

  • On Murdoch’s acquisition of the Wall Street Journal: “very interested to see if he will remove the paid wall”.
  • The IHT experiemented with a paid wall for it’s opinion content, but they will be removing that later this year
  • He says the Bancroft family sold it because they are emotionally detached from the product. It was just an asset to them.
  • A lot of the content is simply reedited content from the NYT and internationalising it. For example, replacing sentences like “Kazakhstan in the size of New York state” doesn’t work well for an international reader who has no idea how big New York state is.
  • On the threat of citizen journalism with traditional media: “they are a competitive threat because we are competing for the same scarce resource: the attention of readers”
  • The problem with citizen journalism and bloggers is the validity of their information – behind a newspapers brand, is trust from readers of the large amounts of research and factchecking that occur. They have no credibility.
  • A blog may develop credibility with an audience greater than the New York Times. But this poses problems for advertising as advertisers might only advertise because of its niche audience. Blogs are spreading the advertising dollars, which is hurting everyone – it’s become decentralised and that has implications which are problematic.
  • The IHT’s circulation is spread thinly across the world. For example, it has 30,000 readers in France and six in Mauritius.
  • Their target market is largely the business traveller, which has its own unique benefits and problems. For example, a business traveler will read it for two days but when they get back home, they will revert to their normal daily newspaper. It’s not a very loyal reader.
  • Readership is a more important concept than circulation as it tells advertisers how big the actual audience of a publication is. For example, the average newspaper has 2.7 readers per copy. However due to the nature of the IHT’s readers, despite having high circulation, they have low readership.
  • IHT is in a unique position of relying on circulation revenue more than advertising. For example, a normal daily relies on circulation revenue as 20% of its total revenue; the IHT counts on it for 50%.
  • It’s hard to get advertising because a readership of university professors is less desirable than fund managers that might read the WSJ. Advertisers prefer to target key decision makers.
  • It doesn’t rely on classifieds as a revenue source – a key thing hurting the newspaper industry currently.
  • Although they place more reliance on circulation revenue, they still get some good advertising opportunities as a lot of readers are politicians and government decision makers.
  • They get a lot of advertising for fashion
  • Psychographic data is more important to advertisers than circulation and it shows what type of readership a publication has.

Half the problem has been solved with time spent

On Thursday, I attended the internal launch of the Australian Entertainment & Media Outlook for 2007-2011. It was an hour packed with interesting analysis, trends, and statistics across a dozen industry segments. You can leave a comment on my blog if you are interested in purchasing the report and I’ll see if I can arrange it for you.

One valuable thing briefly mentioned, was the irony of online advertising.
Continue reading ‘Half the problem has been solved with time spent’

Some things will never change: how to create credibility

This weekend in my office with a half dozen colleagues, we toiled away on an (academic) assignment due tonight. When you spend 11 hours in one day around one table, on something that drives you mad – conversation is a aplenty on things not related to what we were doing. And when there as no conversation, procrastination was aplenty with Facebook being the prime culprit amongst all of us.

An interesting scenario happened, which made me revisit something I have long wondered. One of the girls asked how does Facebook make money, and I went on a rant about their $200 million Microsoft deal, how they are heading towards an IPO, and other random facts I just happen to know. They all looked at me stunned, in the sense how could I possibly know such things, and I replied I read a lot – I read a lot of blogs.

“…but how do you know that stuff you are reading is accurate?” with reference to that $200 million that I don’t even know where I read that. The funny thing about the question, is that it’s smart and stupid at the same time. The answer seems too obvious – but it isn’t: how DO I know those facts I stated where true?

Why I bring this up, is because this is an issue I have long tried to come to grips with – what makes information credible? How do you know when you read something on the internet, that it is reliable? The answer is we don’t. Sort of.

This “new media” world isn’t the reason why we have this apparent problem: information credibility has long been an issue, first realised by the citizens of western democracy after the Great War when they recognised newspapers could no longer be taken as fact (due to the propaganda efforts). So its been a problem long before computers and hypertext had even been invented – it’s only that with us being in an Information Age, the quality of information has been under higher scrutiny with its abundance.

How do we know what makes something reliable? Is it some gee-whiz Google algorithm? Perhaps it’s the wisdom of the crowds? Maybe – but there is something else even more powerful that I have to thank Scott Karp for making me realise this, back in the days when he was starting out as a blogger: it’s all about branding.

Why makes an article about the New York Times, more credible than one written by a random student newspaper rag? What makes a high profile author, more credible in what they say, than a random nobody who puts their hand up in a town hall meeting? And going back to the question my colleague asked earlier – how do I know the blogs I am reading have any credibility – over say, something I read in an established newspaper such The Economist?

Simple: branding establishes information credibility. And a brand – for any type of entity be it an individual journalist or a news organisation – is dependent on recognition by others. There could be absolutely no credibility in your information (like Wikipedia) and yet you could have a brand that by default establishes credibility – just like how people regularly cite Wikipedia as a source now, despite knowing it’s inherently uncredible.

The power of branding is that no matter how uncredible you are – your brand will be enough to make anything you say, incredible.