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	<title>The Future of Targeting &#187; data-economy</title>
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		<title>Data is Money – and Money is Data</title>
		<link>http://www.predictive-behavioral-targeting.com/2010/03/data-is-money-%e2%80%93-and-money-is-data/</link>
		<comments>http://www.predictive-behavioral-targeting.com/2010/03/data-is-money-%e2%80%93-and-money-is-data/#comments</comments>
		<pubDate>Wed, 17 Mar 2010 22:37:42 +0000</pubDate>
		<dc:creator>Stephan Noller</dc:creator>
				<category><![CDATA[Business/Strategy]]></category>
		<category><![CDATA[bluekai]]></category>
		<category><![CDATA[data-economy]]></category>
		<category><![CDATA[micropayment]]></category>
		<category><![CDATA[privacy]]></category>

		<guid isPermaLink="false">http://www.predictive-behavioral-targeting.com/?p=55</guid>
		<description><![CDATA[We find ourselves at the beginning of the data economy – at least as far as the Internet and advertising are concerned. An ever-increasing proportion of online display advertising is being controlled by qualified data, target groups are being defined and adjusted by means of measured data and websites are being newly created and optimised [...]


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<p>We find ourselves at the beginning of the data economy – at least as far as the Internet and advertising are concerned. An ever-increasing proportion of online display advertising is being controlled by qualified data, target groups are being defined and adjusted by means of measured data and websites are being newly created and optimised based on usage data.</p>
<p>Some of the most successful online companies are data companies – Google surely must take first place, but Facebook, Twitter, Yahoo and so on are also very prominent. In addition, many companies who until now ignored and even naively dumped their valuable data are slowly starting to realise what treasures they possess – and are starting to think about monetisation models. This is the case, for example, among online marketers who are beginning to realise during the crisis that they can generate something online that would otherwise require armies of researchers in conventional media: <strong>target group data</strong>.</p>
<p>Recently, one managing director of a large media agency said in conversation:<br />
<em> </em></p>
<blockquote><p><em>&#8220;Our future business model will presumably be in working with data and no longer media purchasing and planning&#8221;.</em></p></blockquote>
<p><span id="more-55"></span>Above all, data are not merely new goods that have come into play, but are generally more like catalysts for existing business models. A marketer can suddenly deliver a suitable target group report to a campaign, which contains detailed information on the internal composition of the target group. A media agency starts to use what it already does every day to derive insights and to form generalised models, thus becoming a strategy consultant to the customer. Simple websites that up to now survived only with great effort and slack marketing contracts are suddenly highly valued data partners, because they can help in another way to provide advertising more efficiently. Creative agencies discover the possibilities of making their customers&#8217; websites react intelligently to visitors by cooperating with data partners.</p>
<p>The string of examples could be extended almost at will. <strong>In the future, data will become a kind of fuel for the digital economy.</strong> Incidentally, the tremendous momentum that exists here can be observed by trying to analyse Google&#8217;s success in detail. While there are certainly a whole range of factors that play a role, including a clever bidding system, a couple of important design decisions and so on, the unbeatable strength of this provider is without doubt essentially attributable to the highly efficient generation and use of data – incidentally, not only on user behaviour and the preferences of Internet users, but in all areas of business (such as in the intelligent organisation of computing power, enabling computer centres to <a href="http://www.datacenterknowledge.com/archives/2009/07/15/googles-chiller-less-data-center/" target="_blank">suddenly manage without cooling</a>).</p>
<p>Increasingly, the value of digital data is being recognised, and explicit business models that take account of this are emerging. By these means, <a href="http://www.bluekai.com/">bluekai</a> in the USA, for example, was able to establish a fast-growing business as a data marketplace, where partners can feed data into it and others can help themselves from the pool for a fee.</p>
<p>Of course, the consistent observance of data protection also plays a very special role, particularly in Europe. This is, however, easier said than done – because the concept of data protection must be constantly adapted to the latest technological possibilities – data protection must grow in tandem and should ideally be considered directly as a central parameter in providers&#8217; business models. But not only that – the attitudes of users with regard to their data is also changing rapidly. Social networks are nothing else than data marketplaces from user to user – and often already from advertiser to user. Data protection concepts must take these circumstances into account; in other words the fact that users no longer need only to be protected, but are also willing to handle their data actively.</p>
<h1><strong>Money is data</strong></h1>
<p>In its latest edition, Wired carried the headline <a href="http://www.wired.com/magazine/2010/02/ff_futureofmoney">&#8220;Money wants to be free</a>&#8220;. The authors demonstrated that existing, bank-based systems of payment were becoming increasingly obsolete on the Internet and that digital business processes are demanding new ways of transferring money from A to B. This should also work with small and tiny sums, should not fall victim to country or currency borders and should also function as quickly as digital society demands. At the same time, money has long since started to become more virtual, ultimately more digital. Of course, this has been the case in the inter-bank business (a term unheard-of 2 years ago) for a long time. But the end consumer is also starting to grow accustomed to EC cash, credit card payments, PayPal and so on. The digitalisation of money leads naturally to a lowering of transaction costs, but also of money transportation and security firm costs and so on – without the user really realising it, since if providers such as iTunes didn&#8217;t have devices to bundle many micro-payments, credit cards would actually remain an utterly inadequate method of payment on the Internet. But something is happening on this front: the power of banks and credit card companies is starting to crumble. Just to name two fascinating examples:</p>
<h2><strong>1. </strong><a href="http://www.flattr.com/"><strong>flattr</strong></a><strong> </strong></h2>
<p>flattr is a service that enables voluntary payments for content on the Internet – the user carries a fixed sum and distributes points over the course of a month to offers and texts that appeal to him or her. At the end, the amount paid is distributed to the connected offers. The exciting thing about this is that it is a hybrid payment system that links conventional money flows to a digital currency. Above all, however, the digital currency is self-contained – a click on flattr can mean 10 cents but also 10 euros. There are no interest charges and no administration fees. It is personal and social. Somewhere between cash and smileys.</p>
<p><a href="http://www.predictive-behavioral-targeting.com/2010/03/data-is-money-%e2%80%93-and-money-is-data/"><em>Click here to view the embedded video.</em></a></p>
<h2><strong>2. </strong><a href="http://x.com/"><strong>x.com</strong></a></h2>
<p>This service is somewhat more conventional in its approach, but perhaps more explosive as a result. Behind x.com is PayPal&#8217;s developer community. PayPal – comparable to the opening up of Facebook in the framework of the F8 initiative – has opened itself to developers and has published an API, including development tools, etc. This means that developers can develop their own applications with x.com, which contain payment functions and virtual currencies. Wow.</p>
<p><a href="http://www.predictive-behavioral-targeting.com/2010/03/data-is-money-%e2%80%93-and-money-is-data/"><em>Click here to view the embedded video.</em></a></p>
<h2><strong>Money transfers of the future: an http-link</strong></h2>
<p>What these services – especially flattr – make clear, when you think about it, is the fact that <em>&#8220;data is money&#8221;</em> and <em>&#8220;money is data&#8221;</em> really are increasingly converging together. What is the difference between me receiving digital money for an http-link containing information that I am interested in a small car and replying to an offer via an http link to say that I would like to &#8220;transfer&#8221; money to it, as is the case with flattr?</p>
<p>Correct. There is no difference.</p>
<p>In the new data economy, money is just a certain type of data. Nothing more and nothing less.</p>


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