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	<title>Comments on: Let&#8217;s Use Web Analytics Data for Targeting</title>
	<link>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html</link>
	<description>Judah Phillips, Web Analytics Practitioner at Web Analytics Demystified</description>
	<pubDate>Thu,  8 Jan 2009 14:04:51 +0000</pubDate>
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		<title>By: Judah</title>
		<link>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3343</link>
		<dc:creator>Judah</dc:creator>
		<pubDate>Wed, 15 Oct 2008 01:45:06 +0000</pubDate>
		<guid>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3343</guid>
		<description>Thanks for your comment Brian!  I'm sure readers will appreciate your insights and clarification into Omniture's current product suite.</description>
		<content:encoded><![CDATA[<p>Thanks for your comment Brian!  I&#8217;m sure readers will appreciate your insights and clarification into Omniture&#8217;s current product suite.</p>
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		<title>By: Brian D. Peterson</title>
		<link>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3299</link>
		<dc:creator>Brian D. Peterson</dc:creator>
		<pubDate>Fri, 03 Oct 2008 00:14:15 +0000</pubDate>
		<guid>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3299</guid>
		<description>Point of Clarification:  Offermatica and Touch Clarity were acquired by Omniture and incorporated into the Test and Target offering as two products at different price points and capabilities (Touch Clarity being the more expensive and powerful of the two).</description>
		<content:encoded><![CDATA[<p>Point of Clarification:  Offermatica and Touch Clarity were acquired by Omniture and incorporated into the Test and Target offering as two products at different price points and capabilities (Touch Clarity being the more expensive and powerful of the two).</p>
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		<title>By: Brian D. Peterson</title>
		<link>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3298</link>
		<dc:creator>Brian D. Peterson</dc:creator>
		<pubDate>Fri, 03 Oct 2008 00:10:00 +0000</pubDate>
		<guid>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3298</guid>
		<description>As to Omniture Test and Target, there are two different tools by thie name, the one acquired by Offermatica and another acquired by Touch Clarity.  The Offermatica offering from Omniture does not provide the ability to import data from Site Catalyst, yet the Touch Clarity offering from Omniture does.  In addition the Touch Clarity offering provides tracking to the individual user level resulting in a very powerful combination for behavioral targeting.</description>
		<content:encoded><![CDATA[<p>As to Omniture Test and Target, there are two different tools by thie name, the one acquired by Offermatica and another acquired by Touch Clarity.  The Offermatica offering from Omniture does not provide the ability to import data from Site Catalyst, yet the Touch Clarity offering from Omniture does.  In addition the Touch Clarity offering provides tracking to the individual user level resulting in a very powerful combination for behavioral targeting.</p>
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		<title>By: Craig Ketner</title>
		<link>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3044</link>
		<dc:creator>Craig Ketner</dc:creator>
		<pubDate>Thu, 14 Aug 2008 20:24:20 +0000</pubDate>
		<guid>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3044</guid>
		<description>Interesting thoughts on linking web analytics data for web site personalization or ad serving.  I think the easiest route to begin doing this is with the use of cookies.  Based on behavior on the site, a developer can drop perinent information in the cookie based on what you want to target the next time they come back.  I know there are pros and cons but this involves no infrastructure to set up; you just have to plan ahead for who/what your want to target.</description>
		<content:encoded><![CDATA[<p>Interesting thoughts on linking web analytics data for web site personalization or ad serving.  I think the easiest route to begin doing this is with the use of cookies.  Based on behavior on the site, a developer can drop perinent information in the cookie based on what you want to target the next time they come back.  I know there are pros and cons but this involves no infrastructure to set up; you just have to plan ahead for who/what your want to target.</p>
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		<title>By: Judah</title>
		<link>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3002</link>
		<dc:creator>Judah</dc:creator>
		<pubDate>Wed, 06 Aug 2008 02:07:14 +0000</pubDate>
		<guid>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3002</guid>
		<description>&lt;strong&gt;Hi Jim. &lt;/strong&gt; Thanks.  Your point about a solid messaging plan for maximizing the value of targeting segments is well taken and absolutely correct.  Implicit and necessary for delivering a messaging plan is a solid understanding of the mindset of the segment and the company's value prop to it.  And a business leader who can put marketing, editorial, and technology together to deliver on the value prop.

You are also correct that any company that want to maximize conversion - macro or micro - can do it now.  But I think some companies have it much easier.  Newer, smaller companies, for example.  Larger, older companies can have extreme challenges to measuring conversion, whether technical, resource-driven, organizational alignment, management who understands/support conversion measurement, and so on.  Thus, as you correctly, put it requires "a structured plan and educated marketer," and that plan may/will touch many facets of the business (from product development to IT to sales).

The data models in web analytics are all over the map, and most of the major vendors have more than one (some intentionally, like CoreMetrics, and others as result of acquisition, Omniture, or new product innovation, WebTrends).  I agree we are seeing vendors move in a "unified" direction, but not fast enough for me, so I will continue to talk about it.

I should also add that several of these constructs are also available for targeting ads too, in addition to content, depending on the ad server/network.

Thanks for commenting, and keep up the awesome work and blogging at SiteBrand! :)

Judah</description>
		<content:encoded><![CDATA[<p><strong>Hi Jim. </strong> Thanks.  Your point about a solid messaging plan for maximizing the value of targeting segments is well taken and absolutely correct.  Implicit and necessary for delivering a messaging plan is a solid understanding of the mindset of the segment and the company&#8217;s value prop to it.  And a business leader who can put marketing, editorial, and technology together to deliver on the value prop.</p>
<p>You are also correct that any company that want to maximize conversion - macro or micro - can do it now.  But I think some companies have it much easier.  Newer, smaller companies, for example.  Larger, older companies can have extreme challenges to measuring conversion, whether technical, resource-driven, organizational alignment, management who understands/support conversion measurement, and so on.  Thus, as you correctly, put it requires &#8220;a structured plan and educated marketer,&#8221; and that plan may/will touch many facets of the business (from product development to IT to sales).</p>
<p>The data models in web analytics are all over the map, and most of the major vendors have more than one (some intentionally, like CoreMetrics, and others as result of acquisition, Omniture, or new product innovation, WebTrends).  I agree we are seeing vendors move in a &#8220;unified&#8221; direction, but not fast enough for me, so I will continue to talk about it.</p>
<p>I should also add that several of these constructs are also available for targeting ads too, in addition to content, depending on the ad server/network.</p>
<p>Thanks for commenting, and keep up the awesome work and blogging at SiteBrand! <img src='http://judah.webanalyticsdemystified.com/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> </p>
<p>Judah</p>
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		<title>By: Jim Cain</title>
		<link>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3001</link>
		<dc:creator>Jim Cain</dc:creator>
		<pubDate>Tue, 05 Aug 2008 15:47:50 +0000</pubDate>
		<guid>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-3001</guid>
		<description>Hi Judah, great post as always.

I also spend a lot of time thinking about targeting, as I build and refine the business support programs for Sitebrand, a web personalization company. I wanted to drop a few points into the dialog around segment examples, and the usefulness of analytics.

Segment Examples: All the examples you used above are spot on for in-site targeting (rather than advertising targeting), but are much more powerful when used together as part of a solid messaging plan.  For example, if you use your Language example and choose to personalize messaging based on french language speakers, look at goal outcomes, behavioral metrics, geographic data etc. This will allow for a more complete segment understanding, and more powerful targeted messaging.

Targeting and Analytics:  Again, you are correct in stating that analytics vendors and targeting vendors have a ways to go when it comes to working off a single dataset, although the industry is definitely moving quickly in that direction.  That said, even with shared data, targeting and personalization can't be successful without a structured plan and an educated marketer.  Any innovative company that wants to maximize their conversion rate can do so now.  Find traffic segments and baselines in your historical data, and start testing changes in your site content and layout.

The more discussions like this take place, the more the discipline behind conversion optimization moves forward,  the faster vendors will unify their data.

Cheers,
 
Jim</description>
		<content:encoded><![CDATA[<p>Hi Judah, great post as always.</p>
<p>I also spend a lot of time thinking about targeting, as I build and refine the business support programs for Sitebrand, a web personalization company. I wanted to drop a few points into the dialog around segment examples, and the usefulness of analytics.</p>
<p>Segment Examples: All the examples you used above are spot on for in-site targeting (rather than advertising targeting), but are much more powerful when used together as part of a solid messaging plan.  For example, if you use your Language example and choose to personalize messaging based on french language speakers, look at goal outcomes, behavioral metrics, geographic data etc. This will allow for a more complete segment understanding, and more powerful targeted messaging.</p>
<p>Targeting and Analytics:  Again, you are correct in stating that analytics vendors and targeting vendors have a ways to go when it comes to working off a single dataset, although the industry is definitely moving quickly in that direction.  That said, even with shared data, targeting and personalization can&#8217;t be successful without a structured plan and an educated marketer.  Any innovative company that wants to maximize their conversion rate can do so now.  Find traffic segments and baselines in your historical data, and start testing changes in your site content and layout.</p>
<p>The more discussions like this take place, the more the discipline behind conversion optimization moves forward,  the faster vendors will unify their data.</p>
<p>Cheers,</p>
<p>Jim</p>
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		<title>By: Seth Holladay &#187; Links &#187; links for 2008-08-05 [delicious.com]</title>
		<link>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-2996</link>
		<dc:creator>Seth Holladay &#187; Links &#187; links for 2008-08-05 [delicious.com]</dc:creator>
		<pubDate>Tue, 05 Aug 2008 07:00:40 +0000</pubDate>
		<guid>http://judah.webanalyticsdemystified.com/2008/08/lets-use-web-analytics-data-for-targeting.html#comment-2996</guid>
		<description>[...] Judah Phillips at Web Analytics Demystified » Blog Archive » Let’s Use Web Analytics Data for Ta... (tags: segmentation webanalytics) [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] Judah Phillips at Web Analytics Demystified » Blog Archive » Let’s Use Web Analytics Data for Ta&#8230; (tags: segmentation webanalytics) [&#8230;]</p>
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