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	<title>David Shepard Associates Blog</title>
	<atom:link href="http://www.dsadirect.com/blog/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.dsadirect.com/blog</link>
	<description>Database Marketing Thought Leadership</description>
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		<title>Scoring a File After Building a Model</title>
		<link>http://www.dsadirect.com/blog/2013/05/scoring-a-file-after-building-a-model/</link>
		<comments>http://www.dsadirect.com/blog/2013/05/scoring-a-file-after-building-a-model/#comments</comments>
		<pubDate>Fri, 10 May 2013 23:00:06 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>
		<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=447</guid>
		<description><![CDATA[Two difficult issues come up frequently in response modeling: how to take different offers into account when building the model from a promotion that included multiple offers, and how to go about scoring the promotion file for future use when you may want to use different offers at different times &#8211; including new offers that [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Measuring And Modeling Attrition</title>
		<link>http://www.dsadirect.com/blog/2013/04/measuring-and-modeling-attrition/</link>
		<comments>http://www.dsadirect.com/blog/2013/04/measuring-and-modeling-attrition/#comments</comments>
		<pubDate>Wed, 03 Apr 2013 12:27:29 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>
		<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=439</guid>
		<description><![CDATA[Customer attrition is a universal concern of database marketers. However, depending on the kind of marketer you are,  the nature of the measurement and modeling problem will differ. For example, continuity marketers – a category that includes &#8221;of the month&#8221; products, collectibles and cable television - have a common problem in that their customers may leave at any time. Mobile [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2013/04/measuring-and-modeling-attrition/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>How To Develop A Customer Contact &amp; Retention Strategy</title>
		<link>http://www.dsadirect.com/blog/2013/03/how-to-develop-a-customer-contact-retention-strategy/</link>
		<comments>http://www.dsadirect.com/blog/2013/03/how-to-develop-a-customer-contact-retention-strategy/#comments</comments>
		<pubDate>Wed, 06 Mar 2013 13:40:53 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=432</guid>
		<description><![CDATA[Last year we wrote an article on &#8216;Measuring and Modeling Attrition&#8221;. In that article we argued that if your objective was to cost-effectively reduce attrition from say 10% per year to 7.5%, you had to begin by focusing your retention efforts on those customer segments where the expected attrition rate was well in excess of the [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2013/03/how-to-develop-a-customer-contact-retention-strategy/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Modeling, Managing And Marketing To Unique Customer Groups</title>
		<link>http://www.dsadirect.com/blog/2013/02/modeling-managing-and-marketing-to-unique-customer-groups/</link>
		<comments>http://www.dsadirect.com/blog/2013/02/modeling-managing-and-marketing-to-unique-customer-groups/#comments</comments>
		<pubDate>Tue, 05 Feb 2013 14:22:40 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=427</guid>
		<description><![CDATA[To a large extent, the role of predictive modeling deals with the issue of selecting customers or prospects for a single promotion, or a series of promotions. The underlying premise being that some promotion universe is about to become the target of a single offer, or campaign, however all available names will not be promoted for reasons [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2013/02/modeling-managing-and-marketing-to-unique-customer-groups/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Database Marketing:  Where Are We After 25+ Years</title>
		<link>http://www.dsadirect.com/blog/2013/01/database-marketing-where-are-we-after-25-years/</link>
		<comments>http://www.dsadirect.com/blog/2013/01/database-marketing-where-are-we-after-25-years/#comments</comments>
		<pubDate>Wed, 09 Jan 2013 18:08:10 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=416</guid>
		<description><![CDATA[Of course, no one really knows when database marketing actually began to distinguish itself from traditional direct marketing, but somewhere around 1985 is probably not too far wrong. Some &#8216;database historians&#8221; trace it back to the start of the American Airlines Frequent Flyer Program which began in 1981 and their Gold and Platinum programs which [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2013/01/database-marketing-where-are-we-after-25-years/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>What Is This Thing Called &#8220;EDA&#8221;?</title>
		<link>http://www.dsadirect.com/blog/2012/12/what-is-this-thing-called-eda/</link>
		<comments>http://www.dsadirect.com/blog/2012/12/what-is-this-thing-called-eda/#comments</comments>
		<pubDate>Mon, 10 Dec 2012 18:27:00 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=402</guid>
		<description><![CDATA[Regardless of whether you are building a traditional statistical model (multiple regression, logistic regression, etc.) or planning to use a neural net solution, it&#8217;s very important to subject your data to a thorough analysis before the actual modeling begins.  EDA or Exploratory Data Analysis encompasses all of the work the analyst does Before the start of the [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/12/what-is-this-thing-called-eda/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>How To Tell If You Have A World Class Marketing Database &amp; Decision Support System</title>
		<link>http://www.dsadirect.com/blog/2012/11/how-to-tell-if-you-have-a-world-class-marketing-database-decision-support-system/</link>
		<comments>http://www.dsadirect.com/blog/2012/11/how-to-tell-if-you-have-a-world-class-marketing-database-decision-support-system/#comments</comments>
		<pubDate>Mon, 05 Nov 2012 18:01:14 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Databases & Systems]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=393</guid>
		<description><![CDATA[From time to time we&#8217;re asked for our definition of a &#8216;World Class Database&#8221;.  This question frequently comes from the large accounting and consulting firms who have pitched a Fortune 100 firm on the need to have one, and now the client now demands to know what it is before they invest in it.  Is [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/11/how-to-tell-if-you-have-a-world-class-marketing-database-decision-support-system/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>When You Model Response, What Are You Modeling?</title>
		<link>http://www.dsadirect.com/blog/2012/10/when-you-model-response-what-are-you-modeling/</link>
		<comments>http://www.dsadirect.com/blog/2012/10/when-you-model-response-what-are-you-modeling/#comments</comments>
		<pubDate>Mon, 08 Oct 2012 17:40:41 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>
		<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=387</guid>
		<description><![CDATA[One of the simplest predictive models to build is a response model based on only one previous promotion &#8212; provided each response represents equal profit potential.  Unfortunately, this is hardly ever the case.  In most database  marketing situations the initial response to a promotion is only the beginning of the story, and you need to consider [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/10/when-you-model-response-what-are-you-modeling/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Making Segmentation and Predictive Modeling Work Together</title>
		<link>http://www.dsadirect.com/blog/2012/09/making-segmentation-and-predictive-modeling-work-together/</link>
		<comments>http://www.dsadirect.com/blog/2012/09/making-segmentation-and-predictive-modeling-work-together/#comments</comments>
		<pubDate>Mon, 10 Sep 2012 17:23:49 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=380</guid>
		<description><![CDATA[To make your Customer Contact Strategy as effective as possible you may need to use a combination of both segmentation and predictive modeling.  Here&#8217;s a quick review of how they differ and how they can be made to work together to maximize your return on your marketing dollars. Segmentation  Segmentation involves assigning people to groups [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/09/making-segmentation-and-predictive-modeling-work-together/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>40 Things Database Marketers Should Never Do, Say Or Even Think About (Part 4)</title>
		<link>http://www.dsadirect.com/blog/2012/08/40-things-database-marketers-should-never-do-say-or-even-think-about-part-4/</link>
		<comments>http://www.dsadirect.com/blog/2012/08/40-things-database-marketers-should-never-do-say-or-even-think-about-part-4/#comments</comments>
		<pubDate>Tue, 07 Aug 2012 17:07:19 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>
		<category><![CDATA[Marketing Databases & Systems]]></category>
		<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=375</guid>
		<description><![CDATA[Recently, DSA was asked to come up with 10 great database marketing ideas.  We couldn&#8217;t think of ten great ideas, database related or otherwise, but it was easy to think of 40 or so things that database marketers shouldn&#8217;t do. Here the third installment of our  Top 40 list of things not to do. (Not in order of importance.) [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/08/40-things-database-marketers-should-never-do-say-or-even-think-about-part-4/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>40 Things Database Marketers Should Never Do, Say Or Even Think About (Part 3)</title>
		<link>http://www.dsadirect.com/blog/2012/07/40-things-database-marketers-should-never-do-say-or-even-think-about-part-3/</link>
		<comments>http://www.dsadirect.com/blog/2012/07/40-things-database-marketers-should-never-do-say-or-even-think-about-part-3/#comments</comments>
		<pubDate>Mon, 09 Jul 2012 16:21:06 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>
		<category><![CDATA[Marketing Databases & Systems]]></category>
		<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=370</guid>
		<description><![CDATA[Recently, DSA was asked to come up with 10 great database marketing ideas.  We couldn&#8217;t think of ten great ideas, database related or otherwise, but it was easy to think of 40 or so things that database marketers shouldn&#8217;t do. Here the third installment of our  Top 40 list of things not to do. (Not in order of importance.) [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/07/40-things-database-marketers-should-never-do-say-or-even-think-about-part-3/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>40 Things Database Marketers Should Never Do, Say Or Even Think About (Part 2)</title>
		<link>http://www.dsadirect.com/blog/2012/06/40-things-database-marketers-should-never-do-say-or-even-think-about-part-2/</link>
		<comments>http://www.dsadirect.com/blog/2012/06/40-things-database-marketers-should-never-do-say-or-even-think-about-part-2/#comments</comments>
		<pubDate>Mon, 11 Jun 2012 16:10:24 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>
		<category><![CDATA[Marketing Databases & Systems]]></category>
		<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=364</guid>
		<description><![CDATA[Recently, DSA was asked to come up with 10 great database marketing ideas.  We couldn&#8217;t think of ten great ideas, database related or otherwise, but it was easy to think of 40 or so things that database marketers shouldn&#8217;t do. Here the second installment of our  Top 40 list of things not to do. (Not in order of importance.) [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/06/40-things-database-marketers-should-never-do-say-or-even-think-about-part-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>40 Things Database Marketers Should Never Do, Say Or Even Think About (Part 1)</title>
		<link>http://www.dsadirect.com/blog/2012/05/40-things-database-marketers-should-never-do-say-or-even-think-about-part-1/</link>
		<comments>http://www.dsadirect.com/blog/2012/05/40-things-database-marketers-should-never-do-say-or-even-think-about-part-1/#comments</comments>
		<pubDate>Fri, 11 May 2012 15:54:02 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>
		<category><![CDATA[Marketing Databases & Systems]]></category>
		<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=360</guid>
		<description><![CDATA[Recently, DSA was asked to come up with 10 great database marketing ideas.  We couldn&#8217;t think of ten great ideas, database related or otherwise, but it was easy to think of 40 or so things that database marketers shouldn&#8217;t do. Here then is the first installment of our  Top 40 list of things not to do. (Not [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/05/40-things-database-marketers-should-never-do-say-or-even-think-about-part-1/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Some Observations On Using Predictive Models</title>
		<link>http://www.dsadirect.com/blog/2012/04/some-observations-on-using-predictive-models/</link>
		<comments>http://www.dsadirect.com/blog/2012/04/some-observations-on-using-predictive-models/#comments</comments>
		<pubDate>Mon, 09 Apr 2012 19:39:13 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>
		<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=352</guid>
		<description><![CDATA[At a recent Statistics &#38; Modeling Course it became apparent that there were different understandings as to how a scoring model should be used. Everyone understood that when the response rate to a promotion is the variable being modeled then the correct statistical approach is logistic regression, because the scores that result from the model (logits) [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/04/some-observations-on-using-predictive-models/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Time to Revisit an Old Application&#8230; Building &amp; Implementing Zip Code Models</title>
		<link>http://www.dsadirect.com/blog/2012/03/time-to-revisit-an-old-application-building-implementing-zip-code-models/</link>
		<comments>http://www.dsadirect.com/blog/2012/03/time-to-revisit-an-old-application-building-implementing-zip-code-models/#comments</comments>
		<pubDate>Wed, 07 Mar 2012 17:18:14 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>
		<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=46</guid>
		<description><![CDATA[One of the earliest database applications was the modeling of zip code data for use in new customer acquisition promotions, direct mail or telemarketing. Therefore, it’s a little surprising to still hear direct marketers complain that their zip code models validated well but didn’t hold up well on repeat usage. A little probing frequently discovers [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/03/time-to-revisit-an-old-application-building-implementing-zip-code-models/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>All The Way To Bright</title>
		<link>http://www.dsadirect.com/blog/2012/02/all-the-way-to-bright/</link>
		<comments>http://www.dsadirect.com/blog/2012/02/all-the-way-to-bright/#comments</comments>
		<pubDate>Wed, 08 Feb 2012 17:06:33 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>
		<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=39</guid>
		<description><![CDATA[Some time ago, I came across the expression “All The Way To Bright”. I think it came out of Citibank, but I’m not sure. Anyway, it stayed with me because it meant, I think, what if we got it all right. What if we’ve finally developed the tools and procedures necessary to manage and grow [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/02/all-the-way-to-bright/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>So What If It All Went Away?</title>
		<link>http://www.dsadirect.com/blog/2012/01/so-what-if-it-all-went-away/</link>
		<comments>http://www.dsadirect.com/blog/2012/01/so-what-if-it-all-went-away/#comments</comments>
		<pubDate>Wed, 04 Jan 2012 16:48:44 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=38</guid>
		<description><![CDATA[The trend is definitely not good.  Privacy is not an issue that will go away and consequently there will be less and less data available for individual and/or  household level overlays.   But, the real question is &#8212; could direct marketers live without household level demographic and financial data?  Of course they could.  And, if they honed [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2012/01/so-what-if-it-all-went-away/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Do You Really Want To Wait For A Data Warehouse?</title>
		<link>http://www.dsadirect.com/blog/2011/12/do-you-really-want-to-wait-for-a-data-warehouse/</link>
		<comments>http://www.dsadirect.com/blog/2011/12/do-you-really-want-to-wait-for-a-data-warehouse/#comments</comments>
		<pubDate>Tue, 06 Dec 2011 16:28:08 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Databases & Systems]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=50</guid>
		<description><![CDATA[We were recently asked to critique a plan to have a database system developed that would support database marketing programs. The recommended solution included upgrading a corporate data warehouse that would be the source of data required to support a marketing decision support system. The plan called for a three-tiered relational architecture. The time frame: [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2011/12/do-you-really-want-to-wait-for-a-data-warehouse/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Prototype Databases – Try before you buy!</title>
		<link>http://www.dsadirect.com/blog/2011/11/prototype-databases-%e2%80%93-try-before-you-buy/</link>
		<comments>http://www.dsadirect.com/blog/2011/11/prototype-databases-%e2%80%93-try-before-you-buy/#comments</comments>
		<pubDate>Thu, 03 Nov 2011 16:16:17 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Databases & Systems]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=53</guid>
		<description><![CDATA[“I’m sorry, I know you need this customer profile report, but it requires adding a new data source.  The marketing database design specs were frozen in order to make the system delivery date. If we add this new requirement, the system will be delayed for 2 more months.  You want to explain that to the [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2011/11/prototype-databases-%e2%80%93-try-before-you-buy/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The Benefits Of Cohort Group Reporting (Pt 2)</title>
		<link>http://www.dsadirect.com/blog/2011/10/the-benefits-of-cohort-group-reporting-pt-2/</link>
		<comments>http://www.dsadirect.com/blog/2011/10/the-benefits-of-cohort-group-reporting-pt-2/#comments</comments>
		<pubDate>Tue, 04 Oct 2011 15:52:07 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=278</guid>
		<description><![CDATA[In the first part of this post we saw that basic cohort group reporting based on enrollment period can produce very powerful insights into the customer base. Generally, direct marketers do not stop at reporting at the enrollment group level. The more common practice is to subdivide the enrollment group by major media source so [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2011/10/the-benefits-of-cohort-group-reporting-pt-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>The Benefits of Cohort Group Reporting (Pt 1)</title>
		<link>http://www.dsadirect.com/blog/2011/09/the-benefits-of-cohort-group-reporting-pt-1/</link>
		<comments>http://www.dsadirect.com/blog/2011/09/the-benefits-of-cohort-group-reporting-pt-1/#comments</comments>
		<pubDate>Wed, 07 Sep 2011 15:46:46 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=51</guid>
		<description><![CDATA[As more and more &#8220;new media&#8221; marketers get involved with database marketing applications the more important it becomes to remember some of the key lessons painstakingly learned by our direct marketing predecessors.  Remembering to measure the performance of cohort groups is one of those lessons.  (A cohort group is defined as a group of individuals with [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2011/09/the-benefits-of-cohort-group-reporting-pt-1/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Working To Build Better Predictive Models (Pt 2)</title>
		<link>http://www.dsadirect.com/blog/2011/08/working-to-build-better-predictive-models-pt-2/</link>
		<comments>http://www.dsadirect.com/blog/2011/08/working-to-build-better-predictive-models-pt-2/#comments</comments>
		<pubDate>Wed, 03 Aug 2011 15:32:40 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=265</guid>
		<description><![CDATA[In the first part of this discussion we outlined ways to increase the number of available predictor variables. Of course, what’s needed next is a repeatable process for identifying key variables from the host of variables that appear on our databases. Here statistical techniques like “correlation tables” and simple cross tabs, which show the relationship [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2011/08/working-to-build-better-predictive-models-pt-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Working to Build Better Predictive Models (Pt 1)</title>
		<link>http://www.dsadirect.com/blog/2011/07/working-to-build-better-predictive-models-pt-1/</link>
		<comments>http://www.dsadirect.com/blog/2011/07/working-to-build-better-predictive-models-pt-1/#comments</comments>
		<pubDate>Wed, 06 Jul 2011 15:30:52 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=41</guid>
		<description><![CDATA[It&#8217; pretty surprising that a recent survey of CRM practices reported that 30%-40% of the companies surveyed indicated that they use predictive regression models.  By way of contrast, close to 50% were using RFM models. If statistical projection is really a better tool, for no other reason than the obvious observation that regression models can [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2011/07/working-to-build-better-predictive-models-pt-1/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Building and Monitoring Profitable, Technology-Based, Multichannel Marketing</title>
		<link>http://www.dsadirect.com/blog/2011/06/building-and-monitoring-profitable-technology-based-multichannel-marketing/</link>
		<comments>http://www.dsadirect.com/blog/2011/06/building-and-monitoring-profitable-technology-based-multichannel-marketing/#comments</comments>
		<pubDate>Wed, 01 Jun 2011 10:43:22 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>
		<category><![CDATA[Marketing Strategy & Practices]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=36</guid>
		<description><![CDATA[Without question there is an urgent need among direct marketers to prove that their investments in technology (databases, websites, social media, email, SEO, kiosks, call centers, catalogs and mailings, …) are more than paying for themselves.  How, then, should companies that transact and communicate with their customers through multiple channels evaluate the cost-effectiveness of their multi-channel [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2011/06/building-and-monitoring-profitable-technology-based-multichannel-marketing/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Modeling Product Purchases</title>
		<link>http://www.dsadirect.com/blog/2011/05/modeling-product-purchases/</link>
		<comments>http://www.dsadirect.com/blog/2011/05/modeling-product-purchases/#comments</comments>
		<pubDate>Tue, 03 May 2011 10:18:43 +0000</pubDate>
		<dc:creator>DSA</dc:creator>
				<category><![CDATA[Marketing Analytics & Modeling]]></category>

		<guid isPermaLink="false">http://www.dsadirect.com/blog/?p=34</guid>
		<description><![CDATA[After the big three modeling variables, Recency, Frequency and Monetary Value some analysts rank Product Purchase Data as the next most important potential predictive variable. I’m not sure that its number four on the modeling hit parade, but it’s certainly in the top ten, and for some businesses ranks in the top five. In any [...]]]></description>
		<wfw:commentRss>http://www.dsadirect.com/blog/2011/05/modeling-product-purchases/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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