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<oembed><version>1.0</version><provider_name>Total Retail</provider_name><provider_url>https://www.mytotalretail.com</provider_url><author_name>Joe Keenan</author_name><author_url>https://www.mytotalretail.com/author/jkeenan/</author_url><title>Decoding Price Elasticity to Unlock Revenue and Minimize Risk - Total Retail</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="fsIy22JpFt"&gt;&lt;a href="https://www.mytotalretail.com/resource/decoding-price-elasticity-unlock-revenue-minimize-risk/"&gt;Decoding Price Elasticity to Unlock Revenue and Minimize Risk&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.mytotalretail.com/resource/decoding-price-elasticity-unlock-revenue-minimize-risk/embed/#?secret=fsIy22JpFt" width="600" height="338" title="&#x201C;Decoding Price Elasticity to Unlock Revenue and Minimize Risk&#x201D; &#x2014; Total Retail" data-secret="fsIy22JpFt" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>First Insight examined pricing and elasticity trends on over 90,000 items processed through InsightSuite &#x2014; the company&#x2019;s predictive analytics platform which enables retailers and manufacturers to select, price, market and buy new products with no sales history &#x2014; between September 2015 and August 2017, along with other proprietary data sources. Using its proprietary data on the elasticity of demand, First Insight calculated average price elasticity and the change in elasticity by category and subcategory over the last two years. Categories included womenswear, menswear, children's wear and home goods across North America and Europe.</description></oembed>
