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Information overload: we need a supply side solution

About a month ago, I went to a conference filled with journalists and I couldn’t help but ask them what they thought about blogs and its impact on their profession. Predictably, they weren’t too happy about it. Unpredictably however, were the reasons for it. It wasn’t just a rant, but a genuine care about journalism as a concept – and how the blogging “news industry” is digging a hole for everyone.

Bloggers and social media are replacing the newspaper industry as a source of breaking news. What they still lack, is quality – as there have been multiple examples of blogs breaking news that in the rush to publish it, turns out it was in fact fallacious . Personally, I think as blogging evolves (as a form of journalism) the checks and balances will be developed – such as big names blogs with their brands, effectively acting like a traditional masthead. And when a brand is developed, more care is put into quality.

Regardless, the infancy of blogging highlights the broader concern of “quality”. With the freedom for anyone to create, the Information Age has seen us overload with information despite our finite ability to take it all in. The relationship between the producer of news and consumer of news, not only is blurring – but it’s also radically transforming the dynamics that is impacting even the offline world.

Traditionally, the concept of “information overload” has been relegated as a simple analysis of lower costs to entry as a producer of content (anyone can create a blog on wordpress.com and away you go). However what I am starting to realise, is the issue isn’t so much the technological ability for anyone to create their own media empire, but instead, the incentive system we’ve inherited from the offline world.

Whilst there have been numerous companies trying to solve the problem from the demand side with “personalisation” of content (on the desktop , as an aggregator , and about another 1000 different spins), what we really need are attempts on the supply side, from the actual content creators themselves.

info overload

Too much signal, can make it all look like noise

Information overload: we need a supply side solution
Marshall Kirkpatrick , along with his boss Richard McManus , are some of the best thinkers in the industry. The fact they can write, makes them not journalists in the traditional sense, but analysts with the ability to clearly communicate their thoughts. Add to the mix Techcrunch don Michael Arrington , and his amazing team – they are analysts that give us amazing insight into the industry. I value what they write; but when they feel the stress of their industry to write more, they are not only doing a disservice to themselves, but also to the humble reader they write to. Quality is not something you can automate – there’s a fixed amount a writer can do not because of their typing skills but because quality is a factor of self-reflection and research.

The problem is that whilst they want, can and do write analysis – their incentive system is biased towards a numbers system driven by popularity. The more people that read and the more content created (which creates more potential to get readers) means more pageviews and therefore money in the bank as advertisers pay on number of impressions. The conflict of the leading blogs churning out content , is that their incentive system is based on a flawed system in the pre-digital world, which is known as circulation offline, and is now known as pageviews online.

A newspaper primarily makes money through their circulation: the amount of physical newspapers they sell, but also the audited figures of how many people read their newspaper (readership can have a factor of up to three times the physical circulation ). With the latter, a newspaper can sell space based on their proven circulation: the higher the readership, the higher the premium. The reason for this is that in the mass media world, the concept of advertising was about hitting as many people as possible. I liken it to the image of flying a plane over a piece of land, and dropping leaflets with the blind faith that of those 100,000 pamphlets, at least 1000 people catch them.

It sounds stupid why an advertiser would blindly drop pamphlets, but they had to: it was the only way they could effectively advertise. For them to make sales, they need the ability to target buyers and create exposure of the product. The only mechanism available for this was the mass media as it was a captured audience, and at best, an advertiser could places ads on specialist publications hoping to getter better return on their investment (dropping pamphlets about water bottles over a desert, makes more sense than over a group of people in a tropical rainforest). Nevertheless, this advertising was done on mass – the technology limited the ability to target.

catch the advert

Advertising in the mass media: dropping messages, hoping the right person catches them

On the Internet, it is a completely new way to publish. The technology enables a relationship with a consumer of content, a vendor, a producer of content unlike anything else previously in the world. The end goal of a vendor advertising is about sales and they no longer need to drop pamphlets – they can now build a one on one relationship with that consumer. They can now knock on your door (after you’ve flagged you want them to), sit down with you, and have a meaningful conversion on buying the product.

“Pageviews” are pamphlets being dropped – a flawed system that we used purely due to technological limitations. We now have the opportunity for a new way of doing advertising, but we fail to recognise it – and so our new media content creators are being driven by an old media revenue model.

It’s not technology that holds us back, but perception
Vendor Relationship Management or (VRM) is a fascinating new way of looking at advertising, where the above scenario is possible. A person can contain this bank of personal information about themselves, as well as flagging their intention of what products they want to buy – and vendors don’t need to resort to advertising to sell their product, but by building a relationship with these potential buyers one on one. If an advertiser knows you are a potential customer (by virtue of knowing your personal information – which might I add under VRM, is something the consumer controls), they can focus their efforts on you rather than blindly advertising on the other 80% of people that would never buy their product). In a world like this, advertising as we know it is dead because we know longer need it.

VRM requires a cultural change in our world of understanding a future like this. Key to this is the ability for companies to recognise the value of a user controlling their personal data is in fact allowing us new opportunities for advertising. Companies currently believe by accumulating data about a user, they are builder a richer profile of someone and therefore can better ‘target’ advertising. But companies succeeding technologically on this front, are being booed down in a big way from privacy advocates and the mainstream public. The cost of holding this rich data is too much. Privacy by obscurity is no longer possible, and people demand the right of privacy due to an electronic age where disparate pieces of their life can be linked online

One of the biggest things the DataPortability Project is doing, is transforming the notion that a company somehow has a competitive advantage by controlling a users data. The political pressure, education, and advocacy of this group is going to allow things like VRM. When I spoke to a room of Australia’s leading technologists at BarCamp Sydney about DataPortability, what I realised is that they failed to recognise what we are doing is not a technological transformation (we are advocating existing open standards that already exist, not new ones) but a cultural transformation of a users relationship with their data. We are changing perceptions, not building new technology.

money on the plate

To fix a problem, you need to look at the source that feeds the beast

How the content business will change with VRM
One day, when users control their data and have data portability, and we can have VRM – the content-generating business will find a light to the hole currently being dug. Advertising on a “hits” model will no longer be relevant. The page view will be dead.

Instead, what we may see is an evolution to a subscription model. Rather than content producers measuring success based on how many people viewed their content, they can now focus less on hits and more on quality as their incentive system will not be driven by the pageview. Instead, consumers can build up ‘credits’ under a VRM system for participating (my independent view, not a VRM idea), and can then use those credits to purchase access to content they come across online. Such a model allows content creators to be rewarded for quality, not numbers. They will need to focus on their brand managing their audiences expectations of what they create, and in return, a user can subscribe with regular payments of credits they earned in the VRM system.

Content producers can then follow whatever content strategy they want (news, analysis, entertainment ) and will no longer be held captive by the legacy world system that drives reward for number of people not types of people.

Will this happen any time soon? With DataPortability, yes – but once we all realise we need to work together towards a new future. But until we get that broad recognition, I’m just going to have to keep hitting “read all” in my feed reader because I can’t keep up with the amount of content being generated; whilst the poor content creators strain their lives, in the hope of working in a flawed system that doesn’t reward their brilliance.

How business is done on the Internet

Day in and day out, the Internet continues to show innovations from people all around the world. Yet for all these innovations, it all comes down to the very core of trying to do business in a new way.

I’ve been doing some research recently for an internal publication my firm produces on the future of the entertainment and media industries, and I wondered what exactly does it mean to do business on the Internet. Whilst there are some brilliant thoughts on what business models on the Net are, I think we lack a proper analysis of what it means to do business.

Below is a summary of my understanding from a consumer perspective of doing business (enterprise is a different beast), but which I think will help people better understand how it all works.

First of all, we need  to split the three key factors about business:

  1. Business models: What the structure of a business is.
  2. Revenue models: How the business generates cash from customers to fund its operations.
  3. Product models: What the product is that you provide to your customers to generate the cash

Too often, these three components are mixed as one or the same. Another thing that happens, is we struggle to classify the Internet because it contains so many different types of business. Breaking it down gives us more complete view.

Business models

The first thing to understand, is how a business is structured of which there are three varieties:

  1. Destination: driving consumers to a point ie, a website that you try to drive usage by consumers. This was very much what the early Internet was in the manifestation of the world wide web; websites attempting to get ‘eyeballs’. Your business model is based on the premise of getting people to visit your destination.
  2. Platform: a service that you try to build usage by creating an ecosystem for. Arguably, the web is the platform but in reality we are seeing a different type of platform akin to the Microsoft Windows approach of creating a core service that others can build on. You could classify the web2.0 view that websites are communities in this, whereas there are companies trying to create operating systems on the web for widgets that are a similar thing. Your business model, is built on the premise that people interact on your service or use your platform.
  3. Network: a service that people use regardless of where they are on the Internet. This type of business is about attaching to a user as they use the Internet. It’s almost like the flipside of the above two models: instead of having everyone come to you, this is about following everyone wherever they are. Your business model is built on the premise that people use your service in a decentralised manner.

Revenue models
Revenue models are a key factor to understand as they are what sustain long term changes to an industry that is currently been pushed by venture money and acquisitions from the dominant players. There are four types of monetisation models that I can observe:

  1. Fees: Payment of a fixed amount for access or usage of goods and services over the internet
  2. Subscription: Payment of a fixed amount on a periodic basis for access or usage of goods and services
  3. Commission: Payment of a percentage fee of a transaction
  4. Attention: Consumer gives their time, such as viewing an advertisement, in exchange of goods and services

Product models
There are three types of product models:

  1. Markets is the term I am using to explain when businesses use the Internet as a way to allow others to transact goods and services. The product offered by these companies is effectively a mechanism to do commerce. For example, eBay offers a product model that gives the ability for people to auction goods. Their product is to offer the facility for vendors and consumers to transact. They are like a shopping centre, giving space for vendors to sell and centralising the space so that consumers know where they can buy from these vendors. Markets offer the ability to perform trade of some sort with other parties
  2. Hypermedia is the term I am using to describe any type of content offering to people. Philosophically, it falls under the “new media” category that I have previously linked to and I use the term coined by Ted Nelson which is the broader term coined at the same time as “hypertext”. Effectively, you are offering content to a consumer in an Internet environment. Formally defined, it is access or supply of content via visual, audio and/or text over the Internet
  3. Utility computing is what you can call search engines, web applications, and the software as a service variety, which essentially is about providing computing services for information. Maybe a better way to define the concept is that they are computing services that allow for productivity through information retrieval, creation or management.

It is important to note that a business doesn’t have to restrict itself to just one of the above sub-categories. A business must have at least one business model, one revenue model, and one product model (or rather, they should - web2.0 startups seem to forget the revenue model bit). But within those groupings, it doesn’t have to be just one.

Take for example Facebook, which was initially a destination business - people logged in, viewed peoples profiles and their news feed, and the company generated value for the user by them ‘visiting’. With the launch of the applications platform, Facebook became a platform, because it allowed other entities to build on top of its core service. In this regard, Facebook generated value by creating an ecosystem of applications within its confines. As for a network model, Facebook is yet to to this, but imagine if they created an ad network like Google’s - whereby information about you in Facebook is used to determine what advertising to see across the entire internet. Here the value is that Facebook helps add to your experience across the entire Internet (despite being off the actual site)

So as a concept, below is my matrix of doing business on the Internet (I’m graphically inept, but I want to illustrate the three dimensions conceptually). What do you think?

business on the net

If you can draw better than me (not hard), I’ll credit you on this post!

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’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’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 – which is information already provided to users – it would convert this into a relevancy score for Techcrunch of 89% or 0.89.

ranking

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’t imagine it would too hard to do this, however given it’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’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 ‘Sort by Personal Relevance’ 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 – 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’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 – 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’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’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’s reputation itself) if they were to adopt it.

privacy

Privacy. Stop looking.

Conclusion
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.