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 <title>Consumer Goods Analytics</title>
 <link>http://consumergoodsanalytics.com</link>
 <description></description>
 <language>en</language>
<item>
 <title>Best Customer Segmentation Provider</title>
 <link>http://consumergoodsanalytics.com/best-customer-segmentation</link>
 <description>&lt;div class=&quot;field field-name-body field-type-text-with-summary field-label-hidden&quot;&gt;&lt;div class=&quot;field-items&quot;&gt;&lt;div class=&quot;field-item even&quot;&gt;&lt;h2&gt;
	WINNER FOR BEST CUSTOMER SEGMENTATION PROVIDER&lt;/h2&gt;
&lt;p&gt;&lt;span style=&quot;font-size: 15px; background-color: rgb(255, 255, 255);&quot;&gt;We are pleased to announce that Neustar ElementOne is the winner for best customer segmentation provider.&lt;/span&gt;&lt;/p&gt;
&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description>
 <pubDate>Mon, 02 Sep 2013 16:20:03 +0000</pubDate>
 <dc:creator>santiago</dc:creator>
 <guid isPermaLink="false">133 at http://consumergoodsanalytics.com</guid>
 <comments>http://consumergoodsanalytics.com/best-customer-segmentation#comments</comments>
</item>
<item>
 <title>2013 Tableau Conference - Leveraging Data for Consumer Goods &amp; Retail Analytics</title>
 <link>http://consumergoodsanalytics.com/tableau-conference-2013</link>
 <description>&lt;div class=&quot;field field-name-body field-type-text-with-summary field-label-hidden&quot;&gt;&lt;div class=&quot;field-items&quot;&gt;&lt;div class=&quot;field-item even&quot;&gt;&lt;p&gt; &lt;/p&gt;
&lt;h2&gt;
	2013 TABLEAU CONFERENCE - LEVERAGING DATA FOR CONSUMER GOODS &amp;amp; RETAIL ANALYTICS&lt;/h2&gt;
&lt;p&gt;&lt;img alt=&quot;Leveraging Tableau for Consumer Goods and Retail&quot; src=&quot;http://www.consumergoodsanalytics.com/sites/default/files/2013-tableau-conference-cga.gif&quot; style=&quot;margin: 6px 10px 5px 5px; float: left;&quot; /&gt;&lt;/p&gt;
&lt;p&gt; &lt;/p&gt;
&lt;p&gt;This session showcased the best of the best in consumer goods and retail analytics, presenting case studies that leverage Tableau to make decisions about determining which stores to target for campaigns, site selection and market basket analysis. Some advanced visualizations, specific to the consumer goods and retail industries, were also demonstrated.&lt;/p&gt;
&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description>
 <pubDate>Sun, 01 Sep 2013 13:03:41 +0000</pubDate>
 <dc:creator>santiago</dc:creator>
 <guid isPermaLink="false">132 at http://consumergoodsanalytics.com</guid>
 <comments>http://consumergoodsanalytics.com/tableau-conference-2013#comments</comments>
</item>
<item>
 <title>New Product Introduction</title>
 <link>http://consumergoodsanalytics.com/case-studies/new-product-introduction</link>
 <description>&lt;div class=&quot;field field-name-body field-type-text-with-summary field-label-hidden&quot;&gt;&lt;div class=&quot;field-items&quot;&gt;&lt;div class=&quot;field-item even&quot;&gt;&lt;h2&gt;
	&lt;span style=&quot;font-family: &#039;Open Sans&#039;, sans-serif; font-size: 18px; font-weight: 600; letter-spacing: -1px; line-height: 22px; text-transform: uppercase;&quot;&gt;How to Determine the Best New Product Launch Strategy Based on Target Consumer Profile&lt;/span&gt;&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;&lt;img alt=&quot;New Product Introduction Analysis&quot; class=&quot;nobo&quot; src=&quot;http://www.consumergoodsanalytics.com/sites/default/files/new-product-%20introduction.png&quot; style=&quot;margin:6px 10px 5px 5px;float:left;&quot; /&gt;Background:&lt;/strong&gt; A consumer goods manufacturer or retailer is planning to introduce a new product. The product is a consumer electronics product, with the following characteristics: &lt;/p&gt;
&lt;div&gt;
	•&lt;span class=&quot;Apple-tab-span&quot; style=&quot;white-space: pre;&quot;&gt; &lt;/span&gt;Designed for a Tech savvy consumer&lt;/div&gt;
&lt;div&gt;
	•&lt;span class=&quot;Apple-tab-span&quot; style=&quot;white-space: pre;&quot;&gt; &lt;/span&gt;A prestige brand name&lt;/div&gt;
&lt;div&gt;
	•&lt;span class=&quot;Apple-tab-span&quot; style=&quot;white-space: pre;&quot;&gt; &lt;/span&gt;An upscale product&lt;/div&gt;
&lt;div&gt;
	 &lt;/div&gt;
&lt;div&gt;
	 A  “Consumer Segmentation Schema” is leveraged to determine the potential of every store and place the product only in the stores where the correct consumer type for this product shops...&lt;/div&gt;
&lt;div&gt;
	 &lt;/div&gt;
&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description>
 <pubDate>Wed, 10 Apr 2013 10:09:55 +0000</pubDate>
 <dc:creator>santiago</dc:creator>
 <guid isPermaLink="false">131 at http://consumergoodsanalytics.com</guid>
 <comments>http://consumergoodsanalytics.com/case-studies/new-product-introduction#comments</comments>
</item>
<item>
 <title>Wedding Cake Chart for Analyzing Performance of Multi-Pack Configurations</title>
 <link>http://consumergoodsanalytics.com/advanced-visualizations/wedding-cake-chart-for-analyzing-performance-of-multi-pack-configurations</link>
 <description>&lt;div class=&quot;field field-name-body field-type-text-with-summary field-label-hidden&quot;&gt;&lt;div class=&quot;field-items&quot;&gt;&lt;div class=&quot;field-item even&quot;&gt;&lt;h2&gt;
	BENEFITS OF MULTI-PACK CONFIGURATION ANALYSIS&lt;/h2&gt;
&lt;p&gt;&lt;img alt=&quot;Wedding pie chart&quot; src=&quot;/sites/default/files/wedding-pie-chart.gif&quot; style=&quot;margin:6px 10px 5px 5px;float:left;&quot; title=&quot;Wedding pie chart&quot; /&gt;Many consumer goods products are sold in cases or multi-pack configurations. For example, a multi-pack of beer might be composed of a 6 or 12 pack  while a case of screws might come 12 or 100 packs per case. Analyzing performance across multiple package/case configurations and understanding the performance at the case/package level (wholesale selling product) and unit level (individual items inside), is challenging, but the Wedding Cake chart is a great way to understand and visualize this level of detail.&lt;/p&gt;
&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description>
 <pubDate>Wed, 07 Nov 2012 04:58:06 +0000</pubDate>
 <dc:creator>santiago</dc:creator>
 <guid isPermaLink="false">127 at http://consumergoodsanalytics.com</guid>
 <comments>http://consumergoodsanalytics.com/advanced-visualizations/wedding-cake-chart-for-analyzing-performance-of-multi-pack-configurations#comments</comments>
</item>
<item>
 <title>Did your store test work?</title>
 <link>http://consumergoodsanalytics.com/case-studies/did-that-store-test-work</link>
 <description>&lt;div class=&quot;field field-name-body field-type-text-with-summary field-label-hidden&quot;&gt;&lt;div class=&quot;field-items&quot;&gt;&lt;div class=&quot;field-item even&quot;&gt;&lt;p&gt;&lt;img alt=&quot;&quot; src=&quot;/sites/default/files/Image%2011_0_0.jpg&quot; style=&quot;margin: 6px 10px 5px 5px;&quot; /&gt;&lt;br /&gt;
	How to analyze a store test using advanced analytics techniques to identify similar stores, and uncover that the test was indeed very successful.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Background:&lt;/strong&gt; A consumer goods manufacturer or retailer introduced a series of new premium SKUs in some stores to perform a retail test, in order to determine if those new SKUs increased the overall category performance. Some basic methodologies initially suggested that the test was not being successful. However, when the correct analytical approach was implemented, using a similar store concept, the test proved to be successful.&lt;/p&gt;
&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description>
 <pubDate>Mon, 22 Oct 2012 00:54:37 +0000</pubDate>
 <dc:creator>santiago</dc:creator>
 <guid isPermaLink="false">98 at http://consumergoodsanalytics.com</guid>
 <comments>http://consumergoodsanalytics.com/case-studies/did-that-store-test-work#comments</comments>
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