<?xml version="1.0" encoding="UTF-8"?>
<blog-post>
  <author-id type="integer">6683</author-id>
  <blog-comments-count type="integer">0</blog-comments-count>
  <blog-post-status-id type="integer">3</blog-post-status-id>
  <body-format>econsultancy_xml</body-format>
  <body-formatted>
  &lt;p&gt;Of the 811 shoppers it surveyed, 46% said they had been provided with bad recommendations in the past.&lt;/p&gt;
  &lt;p&gt;
    &lt;em&gt;The &lt;a href="http://www.choicestream.com/pdf/2007_ChoiceStream_Personalization_Survey_FINAL.pdf"&gt;study&lt;/a&gt; (pdf) also found:&lt;/em&gt;
  &lt;/p&gt;
  &lt;ul&gt;
    &lt;li&gt;The negative impact of poor recommendations was&#160;largest for frequent and high-spending customers. For example, 69% of shoppers that had spent over $1,000 online in the last six months said they were more likely to make purchases at sites that offered personalised suggestions. &lt;br /&gt;&lt;br /&gt;&lt;/li&gt;
    &lt;li&gt;43% defined poor recommendations as products they had already purchased, while 41% cited &#8220;inappropriate&#8221; suggestions, such as handbags for men. 37% were most irked by products that didn&#8217;t match their preferences.&lt;br /&gt;&lt;br /&gt;&lt;/li&gt;
    &lt;li&gt;39% were less willing to return to sites that provided poor quality recommendations, while 35% were less willing to buy items from those etailers.&lt;/li&gt;
  &lt;/ul&gt;
  &lt;p&gt;Toffer Winslow, EVP of Sales and Marketing at ChoiceStream, which sponsored the survey, said:&#160;&lt;/p&gt;
  &lt;blockquote&gt;
    &lt;p&gt;
      &lt;em&gt;&#8220;Personalised recommendations are table stakes in today&#8217;s competitive e-commerce environment. But retailers that provide customers with poor quality recommendations are putting their brand and revenue at risk.&lt;/em&gt;
    &lt;/p&gt;
    &lt;p&gt;
      &lt;em&gt;&#8220;Online shoppers increasingly expect help with making selections, and retailers that provide high quality guidance are rewarded with higher consumer spending and more frequent visits.&#8221;&lt;/em&gt;
    &lt;/p&gt;
  &lt;/blockquote&gt;
</body-formatted>
  <body-unformatted>&lt;FormattedContent xmlns="http://www.e-consultancy.com/schema/formattedContent/"&gt;
  &lt;Paragraph&gt;Of the 811 shoppers it surveyed, 46% said they had been provided with bad recommendations in the past.&lt;/Paragraph&gt;
  &lt;Paragraph&gt;
    &lt;Quote&gt;The &lt;Link URL="http://www.choicestream.com/pdf/2007_ChoiceStream_Personalization_Survey_FINAL.pdf" Window="Self"&gt;study&lt;/Link&gt; (pdf) also found:&lt;/Quote&gt;
  &lt;/Paragraph&gt;
  &lt;List Type="Disc"&gt;
    &lt;ListItem&gt;The negative impact of poor recommendations was&#160;largest for frequent and high-spending customers. For example, 69% of shoppers that had spent over $1,000 online in the last six months said they were more likely to make purchases at sites that offered personalised suggestions. &lt;LineBreak /&gt;&lt;LineBreak /&gt;&lt;/ListItem&gt;
    &lt;ListItem&gt;43% defined poor recommendations as products they had already purchased, while 41% cited &#8220;inappropriate&#8221; suggestions, such as handbags for men. 37% were most irked by products that didn&#8217;t match their preferences.&lt;LineBreak /&gt;&lt;LineBreak /&gt;&lt;/ListItem&gt;
    &lt;ListItem&gt;39% were less willing to return to sites that provided poor quality recommendations, while 35% were less willing to buy items from those etailers.&lt;/ListItem&gt;
  &lt;/List&gt;
  &lt;Paragraph&gt;Toffer Winslow, EVP of Sales and Marketing at ChoiceStream, which sponsored the survey, said:&#160;&lt;/Paragraph&gt;
  &lt;Block&gt;
    &lt;Paragraph&gt;
      &lt;Quote&gt;&#8220;Personalised recommendations are table stakes in today&#8217;s competitive e-commerce environment. But retailers that provide customers with poor quality recommendations are putting their brand and revenue at risk.&lt;/Quote&gt;
    &lt;/Paragraph&gt;
    &lt;Paragraph&gt;
      &lt;Quote&gt;&#8220;Online shoppers increasingly expect help with making selections, and retailers that provide high quality guidance are rewarded with higher consumer spending and more frequent visits.&#8221;&lt;/Quote&gt;
    &lt;/Paragraph&gt;
  &lt;/Block&gt;
&lt;/FormattedContent&gt;</body-unformatted>
  <created-at type="datetime">2007-12-06T08:15:00+00:00</created-at>
  <enabled-blog-comments-count type="integer">0</enabled-blog-comments-count>
  <expertise-level-id type="integer">1</expertise-level-id>
  <extract-format>econsultancy_xml</extract-format>
  <extract-formatted>
  &lt;p&gt;
    &lt;strong&gt;Providing web shoppers with bad quality recommendations could be worse than offering no recommendations at all, according to a new survey.&lt;/strong&gt;
  &lt;/p&gt;
  &lt;p&gt;Conducted by online research provider MarketTools, the study claims four in ten shoppers are less willing to return to sites that suggest&#160;non-personalised products or items they already own.&lt;/p&gt;
</extract-formatted>
  <extract-unformatted>&lt;FormattedContent xmlns="http://www.e-consultancy.com/schema/formattedContent/"&gt;
  &lt;Paragraph&gt;
    &lt;Emphasis&gt;Providing web shoppers with bad quality recommendations could be worse than offering no recommendations at all, according to a new survey.&lt;/Emphasis&gt;
  &lt;/Paragraph&gt;
  &lt;Paragraph&gt;Conducted by online research provider MarketTools, the study claims four in ten shoppers are less willing to return to sites that suggest&#160;non-personalised products or items they already own.&lt;/Paragraph&gt;
&lt;/FormattedContent&gt;</extract-unformatted>
  <featured type="boolean">false</featured>
  <id type="integer">2007</id>
  <learn-more-formatted nil="true"></learn-more-formatted>
  <learn-more-unformatted nil="true"></learn-more-unformatted>
  <legacy-article-id type="integer">364719</legacy-article-id>
  <name>Shoppers get fussy about product recommendations</name>
  <private type="boolean">false</private>
  <published-at type="datetime">2007-12-06T08:15:00+00:00</published-at>
  <slug>shoppers-get-fussy-about-product-recommendations</slug>
  <tweetbacks-updated-at type="datetime">2009-04-28T23:02:32+01:00</tweetbacks-updated-at>
  <unpublished-at type="datetime" nil="true"></unpublished-at>
  <updated-at type="datetime">2009-04-28T23:02:32+01:00</updated-at>
  <views-count type="integer">659</views-count>
</blog-post>
