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<title>Sawtooth Technologies Consulting Group</title>
<link>http://www.sawtooth.com/index.php/consulting/</link>
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<title>Sawtooth Technologies Consulting Group</title>
<link>http://www.sawtooth.com/index.php/consulting/</link>
<description>At Sawtooth Technologies Consulting Group, We solve complex business challenges by shedding light on your market. Subscribe to this feed to receive the latest insights on conjoint, discrete choice, maxdiff, segmentation and more from our Sawtooth Technologies Consulting blog</description>
<lastBuildDate>Thu, 27 Jan 2011 15:16:25 GMT</lastBuildDate>
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<title>Why I Still Love Conjoint</title>
<link>http://www.sawtooth.com/index.php/blog/archives/why-i-still-love-conjoint/</link>
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<pubDate>Thu, 27 Jan 2011 15:16:25 GMT</pubDate>
<description>Conjoint analysis, also referred to as discrete choice, has been in use for decades.  What has led to its popularity?  Why does it keep researchers, academicians, and research end-users engaged?  In short, why do we still love conjoint?</description>
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<title>Using Discrete Choice and MaxDiff to Spend HR Dollars Wisely</title>
<link>http://www.sawtooth.com/index.php/blog/archives/using-discrete-choice-and-maxdiff-to-spend-hr-dollars-wisely/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/using-discrete-choice-and-maxdiff-to-spend-hr-dollars-wisely/</guid>
<pubDate>Tue, 31 Aug 2010 22:15:45 GMT</pubDate>
<description>Especially in times of shrinking budgets, it is critically important to allocate benefits dollars wisely.  Human Resources departments have the opportunity to use customer-focused approaches to maximize ROI.  Techniques such as Discrete Choice Analysis and MaxDiff can help companies maximize employee satisfaction for each dollar spent.</description>
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<item>
<title>Asking Discrete Choice Questions When the Answer is, It Depends</title>
<link>http://www.sawtooth.com/index.php/blog/archives/asking-discrete-choice-questions-when-the-answer-is-it-depends/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/asking-discrete-choice-questions-when-the-answer-is-it-depends/</guid>
<pubDate>Fri, 30 Jul 2010 22:23:34 GMT</pubDate>
<description>When business decision-makers look at conjoint and discrete choice model output, how should the share results be interpreted and used?  In this post, we share our thoughts about preference share and market share, based on decades of practical experience. </description>
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<title>Using Share Predictions from Conjoint and Discrete Choice Models</title>
<link>http://www.sawtooth.com/index.php/blog/archives/using-share-predictions-from-conjoint-and-discrete-choice-models/</link>
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<pubDate>Mon, 28 Jun 2010 13:58:41 GMT</pubDate>
<description>When business decision-makers look at conjoint and discrete choice model output, how should the share results be interpreted and used?  In this post, we share our thoughts about preference share and market share, based on decades of practical experience. </description>
</item>
<item>
<title>MaxDiff: A New Way to Prioritize Benefit Statements</title>
<link>http://www.sawtooth.com/index.php/blog/archives/maxdiff-a-new-way-to-prioritize-benefit-statements/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/maxdiff-a-new-way-to-prioritize-benefit-statements/</guid>
<pubDate>Thu, 3 Jun 2010 14:23:07 GMT</pubDate>
<description>MaxDiff is a powerful tool for prioritizing benefit statements based on relevance to your customers.  MaxDiff helps you create a winning positioning that will resonate with your target market.</description>
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<item>
<title>Aligning Your Line:  Using Conjoint Analysis to Create and Manage</title>
<link>http://www.sawtooth.com/index.php/blog/archives/aligning-your-line-using-conjoint-analysis-to-create-and-manage-produc/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/aligning-your-line-using-conjoint-analysis-to-create-and-manage-produc/</guid>
<pubDate>Thu, 29 Apr 2010 22:36:07 GMT</pubDate>
<description>It is common to think about using conjoint / discrete choice to configure products and test pricing, but it also extremely useful for finding opportunities to shrink product lines, testing whether additional products cannibalize or add to preference, and uncovering segments and aligning products with their preferences.</description>
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<item>
<title>Predicting Revenue from Conjoint Results</title>
<link>http://www.sawtooth.com/index.php/blog/archives/predicting-revenue-from-conjoint-results/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/predicting-revenue-from-conjoint-results/</guid>
<pubDate>Wed, 10 Mar 2010 17:21:10 GMT</pubDate>
<description>Conjoint analysis is a powerful tool for predicting market reaction to changes in existing products or services or completely new products. But how well do conjoint model results translate into real world results? And can you predict revenue from conjoint results?</description>
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<item>
<title>Comparing Apples and Oranges</title>
<link>http://www.sawtooth.com/index.php/blog/archives/comparing-apples-and-oranges/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/comparing-apples-and-oranges/</guid>
<pubDate>Mon, 22 Feb 2010 15:28:13 GMT</pubDate>
<description>Discrete choice lets you understand how your market makes relevant apples to oranges comparisons.</description>
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<item>
<title>Segmenting for Success Part II</title>
<link>http://www.sawtooth.com/index.php/blog/archives/segmenting-for-success-part-ii/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/segmenting-for-success-part-ii/</guid>
<pubDate>Tue, 16 Feb 2010 15:10:32 GMT</pubDate>
<description>Segmenting for success in both consumer and B2B markets means going beyond traditional segmenting variables, such as demographics or company type, and focusing on needs, attitudes and lifestyle.</description>
</item>
<item>
<title>Segmenting for Success Part I</title>
<link>http://www.sawtooth.com/index.php/blog/archives/segmenting-for-success-part-i/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/segmenting-for-success-part-i/</guid>
<pubDate>Thu, 11 Feb 2010 22:28:00 GMT</pubDate>
<description>Segmenting for success in both consumer and B2B markets means going beyond traditional segmenting variables, such as demographics or company type, and focusing on needs, attitudes and lifestyle.</description>
</item>
<item>
<title>Predicting Choice with Conjoint Analysis and Discrete Choice</title>
<link>http://www.sawtooth.com/index.php/blog/archives/predicting-choice/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/predicting-choice/</guid>
<pubDate>Wed, 27 Jan 2010 16:32:15 GMT</pubDate>
<description>Conjoint Analysis and Discrete Choice have become popular for marketers and product managers, because they let them predict choice behavior.</description>
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<title>Understanding Conjoint in 15 Minutes by Joseph Curry</title>
<link>http://www.sawtooth.com/index.php/blog/archives/understanding-conjoint-in-15-minutes-by-joseph-curry/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/understanding-conjoint-in-15-minutes-by-joseph-curry/</guid>
<pubDate>Thu, 7 Jan 2010 19:36:32 GMT</pubDate>
<description>Conjoint analysis has become popular because it is far less expensive and time consuming than concept testing.</description>
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<title>Finding the Sweet Spot of Competitive Positioning</title>
<link>http://www.sawtooth.com/index.php/blog/archives/finding-the-sweet-spot-of-competitive-positioning/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/finding-the-sweet-spot-of-competitive-positioning/</guid>
<pubDate>Wed, 16 Dec 2009 19:42:55 GMT</pubDate>
<description>Positioning your brand in the B2B market</description>
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<item>
<title>Knowing when the Price is Right</title>
<link>http://www.sawtooth.com/index.php/blog/archives/know/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/know/</guid>
<pubDate>Thu, 10 Dec 2009 23:12:40 GMT</pubDate>
<description>Research on pricing products and services, obviously popular, can bring successful results through several different research methodologies: find the right one for you</description>
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<item>
<title>MaxDiff - maximum power to act on market preferences</title>
<link>http://www.sawtooth.com/index.php/blog/archives/maxdiff-maximum-power-to-act-on-market-preferences/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/maxdiff-maximum-power-to-act-on-market-preferences/</guid>
<pubDate>Sat, 31 Oct 2009 23:09:21 GMT</pubDate>
<description>Determining preferences in product features or benefits, marketing slogans, logos, service options, or even restaurant names, allows for trial and error without the error.</description>
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<title>Conjoint analysis - the key to predicting real-world buying choices</title>
<link>http://www.sawtooth.com/index.php/blog/archives/conjoint-analysis-the-key-to-predicting-real-world-buying-choices/</link>
<guid>http://www.sawtooth.com/index.php/blog/archives/conjoint-analysis-the-key-to-predicting-real-world-buying-choices/</guid>
<pubDate>Wed, 7 Oct 2009 17:17:17 GMT</pubDate>
<description>If business people and marketers could really understand the trade-offs consumers would make, they could tailor their products and services more effectively - and profitably</description>
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