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	<title>Comments on: Tracking with Flash Cookies</title>
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	<link>http://blog.merjis.com/2006/11/01/tracking-with-flash-cookies/</link>
	<description>Effective Internet Marketing Strategy and Tactics Through Test</description>
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		<title>By: Michael Borgs Media weblog &#187; Blog Archive &#187; Cookie hier, Cookie daar&#8230;</title>
		<link>http://blog.merjis.com/2006/11/01/tracking-with-flash-cookies/comment-page-1/#comment-19896</link>
		<dc:creator>Michael Borgs Media weblog &#187; Blog Archive &#187; Cookie hier, Cookie daar&#8230;</dc:creator>
		<pubDate>Thu, 18 Oct 2007 23:18:41 +0000</pubDate>
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		<description>[...] Flash Cookies (oftewel Flash Local Shared Objects) worden sinds eind 2005 tijd gebruikt, door onder andere BBC, YouTube, Google Adwords Video Ads en Yahoo Images. Belangrijke eigenschappen van het cookie zijn: [...]</description>
		<content:encoded><![CDATA[<p>[...] Flash Cookies (oftewel Flash Local Shared Objects) worden sinds eind 2005 tijd gebruikt, door onder andere BBC, YouTube, Google Adwords Video Ads en Yahoo Images. Belangrijke eigenschappen van het cookie zijn: [...]</p>
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		<title>By: Anatomy of a Web Spam Attack &#124; Merjis Internet Marketing Blog</title>
		<link>http://blog.merjis.com/2006/11/01/tracking-with-flash-cookies/comment-page-1/#comment-16635</link>
		<dc:creator>Anatomy of a Web Spam Attack &#124; Merjis Internet Marketing Blog</dc:creator>
		<pubDate>Sun, 09 Sep 2007 10:44:06 +0000</pubDate>
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		<description>[...] You might want to consider restrictions on users coming from free webmail services and using anonymising services or open proxies. What you can usefully do and what you can legitimately do, will depend on the environment, but this analysis suggests that teams work on spamming, or at least multiple browsers. Simple cookie tracking, or even Flash Cookie tracking aren&#8217;t going to be enough. The spammer may well come from a different address than the person that first identified the site. If you can. you want to head them off, early&#8230; but beware that making signup into an onerous burden may put off the customer. We&#8217;ve dealt with organisations that took the better part of a year to get SSL certificates, because that process was too onerous&#8230; if you make the validation sufficiently difficult that you&#8217;d trust a financial transaction, *before* you allow access, then you won&#8217;t see much access. [...]</description>
		<content:encoded><![CDATA[<p>[...] You might want to consider restrictions on users coming from free webmail services and using anonymising services or open proxies. What you can usefully do and what you can legitimately do, will depend on the environment, but this analysis suggests that teams work on spamming, or at least multiple browsers. Simple cookie tracking, or even Flash Cookie tracking aren&#8217;t going to be enough. The spammer may well come from a different address than the person that first identified the site. If you can. you want to head them off, early&#8230; but beware that making signup into an onerous burden may put off the customer. We&#8217;ve dealt with organisations that took the better part of a year to get SSL certificates, because that process was too onerous&#8230; if you make the validation sufficiently difficult that you&#8217;d trust a financial transaction, *before* you allow access, then you won&#8217;t see much access. [...]</p>
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		<title>By: Click Fraud, Google AdWords and gclid &#124; Merjis Search Marketing Blog</title>
		<link>http://blog.merjis.com/2006/11/01/tracking-with-flash-cookies/comment-page-1/#comment-12169</link>
		<dc:creator>Click Fraud, Google AdWords and gclid &#124; Merjis Search Marketing Blog</dc:creator>
		<pubDate>Thu, 19 Jul 2007 10:47:27 +0000</pubDate>
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		<description>[...] You can use the gclid as a proxy for a cookie. If your advertising includes the gclid, and the gclid is unique for each impression, then you can spot returning users from bookmarks - though you may pick up some bookmarks from social networking sites. You can therefore extract two more measurements&#8230; The number of times that a page is referenced in social networks (that referer_info field), and the ratios of bookmark using users with cookies versus those who have deleted the cookie. So you can infer the additional success of your programs that depend on cookies for measurement; while it is still an exercise in stats, it is at least a numerically based exercise, with your own data, rather than that of an industry pundit or terrifying percentage estimation from a commercial vested interest who wants to flog you an authentication based service, or a flash cookie service. [...]</description>
		<content:encoded><![CDATA[<p>[...] You can use the gclid as a proxy for a cookie. If your advertising includes the gclid, and the gclid is unique for each impression, then you can spot returning users from bookmarks &#8211; though you may pick up some bookmarks from social networking sites. You can therefore extract two more measurements&#8230; The number of times that a page is referenced in social networks (that referer_info field), and the ratios of bookmark using users with cookies versus those who have deleted the cookie. So you can infer the additional success of your programs that depend on cookies for measurement; while it is still an exercise in stats, it is at least a numerically based exercise, with your own data, rather than that of an industry pundit or terrifying percentage estimation from a commercial vested interest who wants to flog you an authentication based service, or a flash cookie service. [...]</p>
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