Frequent thinker, occasional writer, constant smart-arse

Tag: revenue model

Semanticising Twitter for a revenue model

Twitter It was interesting to read the 11 business models for Twitter. Here’s one that I rarely see ever get mentioned: semantic conversations.

The assumptions.
Before I jump into it, some context as to why I think this is a solid approach.

advertising sucks in the traditional sense. Showing ad’s blindly, is like throwing pamphlets over the Amazon hoping that your target market catches some of them. Or another example: if you’re looking for some relief, do you walk down the main street of your city with your pants down yelling out "I want sexy time"? Sure, some people will approach you – but it certainly is not the most efficient way.

search advertising is the window into the future of advertising. The reason why Google does so well is because when a user searches they are flagging their intent. No more blind guessing – now it’s just a matter of accurately matching that intent to something. To extend the analogy using sex, this is like going to a single swingers party – you know everyone there is hungry, so to speak.

Word of mouth marketing beats any other form. Imagine you’re at a nightclub with your best friend. A model stops in front of the two of you – looks at your friend – and asks what cologne he’s wearing. He replies, she smiles – and then walks off giving him a wink.
You tell your little brother the next day about the incident who’s just run out of cologne. Next thing you know, he’s at the department store calling you and asking what’s that cologne’s name. Unlikely story? Have a think about the last time you bought something – we tend to rely on people we trust to guide our decisions.

Affiliate marketing is one of the most successful ways of making money on the web. My friends at Tjoos.com, help people find coupons – and they make a stupid amount of money because of affiliate deals. Affiliate marketing is rooted in a traditional concept for selling – there are suppliers like a manufacturer, and there are the retailers who onsell the supply like we see with clothing shops. With affiliate marketing, you act as a store pushing a product – and you get a cut of the final transaction if successful.

On Twitter people talk and share The use cases of Twitter are a different topic in itself, but let’s think of one of the most common: people share links with other people. As a case in point, monitor this search query I just constructed. Within minutes, you will see hundreds of new results returned. That’s a lot of links been shared.

Semantic conversations explained
Let’s say I just suggested that people read the book "Growth Fetish". People that follow me know me well enough to look into it as a legit thing. Perhaps some even trust my judgement to blindly buy the book (like I do with some people I know).

Now imagine, if instead of just saying the name of the book or pointing to the authors website – I had an easy way to embed Amazon affiliates. When people read I liked a book or a product, and they see a link – two things happen: they likely will follow the link to see what the fuss is about, and after reading up they will potentially make a purchase depending on how impressed or how much they trust me. Because the link tracks that I was the person recommending it, it connects the sale of that product by that person to me. And they don’t need to make the purchase right there – it can happen up to 45 days later and I still get recognised for it (as is the case with most affiliate programs).

Twitter affiliated

Implementation
It’s going to take a bit of thinking on how to implement this easily. For example, it needs to be drop dead easy for people to find the correct link and embed it. Twitter should tweak its system so that it recognises true hyperlinks that have words aliased, rather than just raw addresses. A way of guessing what the person is promoting and matching it to a Amazon code would be ideal (ie, “findbook:growth fetish” will have Twitter make a suggestion to link it to).

It would have to be a revenue share program, meaning Twitter and the user get a cut. That’s a good thing, because everyone’s interests are aligned. But it also means it needs to be thought out as it’s an art to get the right progressive scale between motivating and killing.

Good luck Twitter: I’m counting on you and Facebook to work out a monetisation model, as you will drive the next wave of growth which builds the industry (like Google did post the dotcom years).

Advertising on the Internet needs innovation

On the weekend, I caught up with Cameron Reilly of the Podcast network , and he was telling me about his views on monetising podcasts. It got me thinking again about those things I like to think about: how content can be monetised. Despite the growth in online advertising which is tipped to be $80 billion, I think we still have a lot more innovation to go with revenue models, especially ones that help content creators.

Advertising is a revenue stream that has traditionally enabled content-creators to monetise their products, in the absence of people paying a fee or subscription. With the Internet, content has undergone a radical changing of what it is – digital, abundant, easily copied – whilst the Internet has offered new opportunities for how advertising is done. However, the Internet has identified the fundamental weaknesses of advertising , as consumers can now control their content consumption, which allows them to ignore embedded advertising altogether. Content on the other hand, still remains in demand, but means of monetising it are slipping into a free economy which is not sustainable. I make that point to illustrate not that professional content creation is a sunset industry – but rather there’s a big market opportunity as this massive industry needs better options.

time mag

"Hey man, there’s this new thing called the Internet. Sounds pretty cool"

One of the biggest innovations in advertising (and enabled by the Internet) is of contextual search advertising. This has been popularised by Google, which now makes 98% of its $17 billion revenue from these units. This advertising dominates online advertising (40% of total) because of its pull nature, whereby key-words stated by a consumer in effect state their intention of what they are interested or would like to purchase. Whilst this is a highly efficient form of advertising, it also has its weaknesses – for example, it is not as effective outside of the search engine environment. Google makes 35% of its revenue from the adSense network , where these contextual ads are placed on peoples personal websites. Evidence from high traffic bloggers suggests they barely make enough money through this type of advertising. Another point to consider is that aspects of the Google network include significant partnership agreements like the one with AOL which accounts for 10% of Googles revenue (this is a 2005 figure which has likely changed, but Google does state in their 2007 report "Our agreements with a few of the largest Google Network members account for a significant portion of revenues derived from our AdSense program. If our relationship with one or more large Google Network members were terminated or renegotiated on terms less favorable to us, our business could be adversely affected.". AOL most recently reported for Q1 2008 half a billion dollars largely from search advertising ).

Other attempts at creating more efficient advertising which have existed for over a decade, have come in the form of profiling or behavioural tracking. However, these forms of advertising has also highlighted the growing awareness of consumer privacy being eroded, and is under heavy scrutiny by activist groups and government. Facebook is a company that is best posed to deliver new forms of advertising because of the rich profiling data it has, but it itself has faced massive backlash .

My view is that the majority of online advertising for successful individual publishers at least, has largely come from traditional approaches to advertising – a masthead blog with a sales team that uses display advertising. How effective this display advertising is is debateable with widespread banner blindness and consumer control over their content, but it would appear that this is more a case of advertisers seeing this as the least bad on the overall scale of opportunities. The fact it replicates the mass media approach of number of unique consumers viewing the content, and not the types of users, means this isn’t anything new other than being done in a digital environment.

Digital content is in need of a better monetisation system.
Targeted advertising is the most efficient form, yet consumer privacy is a growing force preventing this. What we need, is not a new advertising technology, but a new way of thinking about advertising – in a way that can help the content economy rather than riding on it without giving benefit. Contextual advertising sounds great in theory as it calculates key-word frequency of words on a website, to match it to a key word ad – but it’s proving in practice these ads are not very relevant. Yet trying to think of a smarter way to advertise, may be the wrong question – perhaps half the problem itself is advertising as a concept?

perspective

Are we running down a tunnel, only to find there is nothing there?

Content which comes in the form of news (historical and breaking), analysis, and entertainment can be monetised via a persons attention or through a transaction (ie, subscription, fee, etc). Both this approaches have different barriers.

– Attention: The key driver is increased dollars per unique person, over a period of time. The barriers to this approach is the challenge of identifying the individual in a way that gives advertising that is highly relevant and will result in a conversion. In other words, privacy privacy privacy.

– Alternative payment: Requiring consumers to pay for content is a barrier due to the paid wall. What is more problematic for digital content, is that the ability to replicate it freely makes it not just easy to do for the masses but has created a culture of if it’s not free, it’s not worth purchasing unless its really necessary. There needs to be a strong value proposition for a consumer to purchase content, and in the absense of a brand and marketing, the restriction of what value the content offers is a barrier for consumer demand as they don’t know what they are missing out on.

So as you see above, content creators are in a difficult position. Charging people reduces their opportunity unless they are really established, but even then, due to the digital environment they don’t have any control over subsequent distribution (with rampant piracy). Yet advertising is fraught with being irrelevant and hence not effective (so advertisers go to other forms) and any attempts to make it more relevant, gets held back by the concerns of privacy advocates (and rightly so). Whilst the Internet parades itself as an advertising growth machine, it’s growing in new areas but not the old areas that have traditionally been the medium for advertisers.

This advertising growth is largely being driven through utility computing products that aim to make information retrieval more efficient (ie, search). However, the growth for the content creators, is not happening. As Cam was telling me, in a market like Australia – small content organisations like TPN and Bronwen Clune ‘s Norgs , don’t have access to the big end of town for a sales team. And he didn’t have to tell me, those Google ads for the smaller guys, are not enough to pay the bills. That small to middle end is not being really catered for.

But before you jump on the phone and create some mid-tier advertising network that caters for a niche, think about the real problem: content creators need a better solution to monetise their content. But advertisers also need a better way of selling, other than some slick-talking sales person who can sell ads on pageviews (a broken model with weak alternatives ) They need advertising that is suited for their product, but the market now includes other products media outlets never had to compete with like marketplaces now happening online and utility computing products. Whilst the technology community obsesses about search , let’s also remember we have yet to see a new way to monetise content that is superior to the old world. Contextual advertising of text is the latest new thing area, but that technique is nearly a decade old. As I prove above, outside of the search environment, it is showing to not be that effective.

Where is the innovation going to come from? Not through technology but with a new paradigm shift like how content creators operate . New ways of thinking about the way we ‘sell’ like what the VRM Project is challenging. But perhaps more fundamentally, is an understanding that the holy grail of targeted advertising has got a speed hump called privacy – and that may actually be a sign of not going faster towards better targeting, but changing the vehicle all together.

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!

Update May 27 2010: Rethinking this two years on, I think this still stands as a rough analytical framework. But I now believe that business model makes sense for the overall discussion above (ie, the combination of all the components), and what I term as ‘business model’ in the post is actually more like the ‘operating model’ of a web business.

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:
birthdayreminder

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.

Facebook is doing what Google did: enabling

The hype surrounding the Facebook platform has created a frenzy of hype – on it being a closed wall, on privacy and the right to users having control of their data, and of course the monetisation opportunities of the applications themselves (which on the whole, appear futile but that will change).

We’ve heard of applications becoming targeted, with one (rumoured) for $3 million – and it has proved applications are an excellent way to acquire users and generate leads to your off-Facebook website & products. We’ve also seen applications desperately trying to monetise their products, by putting Google Ads on the homepage of the application, which are probably just as effective as giving a steak to a vegetarian. The other day however was the first instance where I have seen a monetisation strategy by an application that genuinely looked possible.

It’s this application called Compare Friends, where you essentially compare two friends on a question (who’s nicer, who has better hair, who would you rather sleep with…). The aggregate of responses from your friends who have compared you, can indicate how a person sits in a social network. For example, I am most dateable in my network, and one of the people with prettiest eyes (oh shucks guys!).

The other day, I was given an option to access the premium service – which essentially analyses your friends’ responses.

compare sub

It occurred to me that monetisation strategies for the Facebook platform are possible beyond whacking Google Adsense on the application homepage. Valuable data can be collected by an application, such as what your friends think of you, and that can be turned into a useful service. Like above, they offer to tell you who is most likely to give you a good reference – that could be a useful thing. In the applications current iteration, I have no plans to pay 10 bucks for that data – but it does make you wonder that with time, more sophisticated services can be offered.

Facebook as the bastion of consumer insight

On a similar theme, I did an experiment a few months ago whereby I purchased a facebook poll, asking a certain demographic a serious question. The poll itself revealed some valuable data, as it gave me some more insight into the type of users of Facebook (following up from my original posting). However what it also revealed was the power of tapping into the crowd for a response so quickly.
clustered yes
Seeing the data come in by the minute as up to 200 people took the poll, as a marketer you could quickly gauge how people think about something in a statistically valid sample, in literally hours. You should read this posting discussing what I learned from the poll if you are interested.

It’s difficult to predict the trends I am seeing, and what will become of Facebook because a lot could happen. However one thing is certain, is that right now, it is a highly effective vehicle for individuals to gain insight about themselves – and generating this information is something I think people will pay for if it proves useful. Furthermore, it is an excellent way for organisations to organise quick and effective market research to test a hypothesis.

The power of Facebook, for external entities, is that it gives access to controlled populations whereby valuable data can be gained. As the WSJ notes, the platform has now started to see some clever applications that realise this. Expect a lot more to come.

Facebook is doing what Google did for the industry

When Google listed, a commentator said this could launch a new golden age that would bring optimism not seen since the bubble days to this badly shaken industry. I reflected on that point he made to see if his prophesy would come true one day. In case you hadn’t noticed, he was spot on!

When Google came, it did two big things for the industry

1) AdSense. Companies now had a revenue model – put some Google ads on your website in minutes. It was a cheap, effective advertising network that created an ecosystem. As of 30 June 2007, Google makes about 36% of their revenue from members in the Google network – meaning, non-Google websites. That’s about $2.7 billion. Although we can’t quantify how much their partners received – which could be anything from 20% to 70% (the $2.7 billion of course is Google’s share) – it would be safe to say Google helped the web ecosystem generate an extra $1 billion. That’s a lot of money!

2) Acquisitions. Google’s cash meant that buyouts where an option, rather than IPO, as is what most start-ups aimed for in the bubble days. In fact, I would argue the whole web2.0 strategy for startups is to get acquired by Google. This has encouraged innovation, as all parties from entrepreneurs to VC’s can make money from simply building features rather than actual businesses that have a positive cashflow. This innovation has a cumulative effect, as somewhere along the line, someone discovers an easy way to make money in ways others hadn’t thought possible.

Google’s starting to get stale now – but here comes Facebook to further add to the ecosystem. Their acquisition of a ‘web-operating system‘ built by a guy considered to be the next Bill Gates shows that Facebook’s growth is beyond a one hit wonder. The potential for the company to shake the industry is huge – for example, in advertising alone, they could roll out an advertising network that takes it a step further than contextual advertising as they actually have a full profile of 40 million people. This would make it the most efficient advertising system in the world. They could become the default login and identity system for people – no longer will you need to create an account for that pesky new site asking you to create an account. And as we are seeing currently, they enable a platform the helps other businesses generate business.

I’ve often heard people say that history will repeat itself – usually pointing to how 12 months ago Myspace was all the rage: Facebook is a fad, they will be replaced one day. I don’t think so – Facebook is evolving, and more importantly is that it is improving the entire web ecosystem. Facebook, like Google, is a company that strengthens the web economy. I am probably going to hate them one day, just like how my once loved Google is starting to annoy me now. But thank God it exists – because it’s enabling another generation of commerce that sees the sophistication of the web.

Privacy – just like inflation

Privacy is a massive business issue. I’ve commented on the lack of interest in privacy from entrepreneurs in the web space; I’ve tried to define privacy; and I joined the APML workgroup for this reason

Need to know why I think it matters? Well here are three facts:

1) Targeted advertising is the future of advertising. Why? Because it’s most effective type of advertising.

2) Web services, and arguably the entire attention economy, rely on advertising as a revenue model.

3) There is a natural friction between targeted advertising and privacy. You can’t target without knowing who you are targeting – which implies some type of implicit collection of data.

Google, on the strength of its brand, has been able to manage the privacy issue. But no longer. Privacy International has ranked Google at the worst privacy offended on the internet. As 99% of Google’s revenue relies on advertising, with open acknowledgment that they are trying to find ways of better targeting advertising, we can expect to hear more and more how Google’s evil is in the data they collect and the way they control it.

Economic growth is one of the key concepts to how our world works – it’s what companies and countries for example, constantly aim for. But as we have seen repeatedly, if an economy grows too quickly, problems can appear – inflation, infrastructure issues, and fatigue. Greed has a price. In the context of an economy, inflation is the speed-hump – the faster you drive over it, the bigger the hit.

So would it be too far to extend the metaphor, to say that privacy is the advertising equivalent to inflation? If you are relying on advertising as a revenue model, remember that privacy will matter more and more with an interconnected world.

Building a (sustainable) business

One of the highlights at Bar camp Sydney, held on March 3rd 2007, was a presentation by Martin Wells and Mike Cannon-Brookes on “How to Start a company”. Both men have a lot of wisdom to share, which was worth every penny (no pun on the fact the event was free). However despite an awesome presentation that covered a lot of ground, there was one slide that in particular annoyed me. It bothered me so much that I wanted to say so, but I thought it might be better to let it be because the guys were doing an otherwise great job.

My problem was slide number two. It listed four companies as ‘ideal’ start-up businesses for all those in the room. Those companies were Flickr, Del.icio.us, YouTube, and MyBlogLog. Why I had a problem with that, was because if that is what web entrepreneurs are being told to look up to, then we have a bit of a problem.

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