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	<title>Nielsen Wire &#187; Best Buy</title>
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	<link>http://blog.nielsen.com/nielsenwire</link>
	<description>Consumer Insights, News, Research &#38; Reports</description>
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		<title>Health Clubs Keep Place-Based Advertisers in Good Shape in Q1 2010</title>
		<link>http://blog.nielsen.com/nielsenwire/media_entertainment/health-clubs-keep-place-based-advertisers-in-good-shape-in-q1-2010/</link>
		<comments>http://blog.nielsen.com/nielsenwire/media_entertainment/health-clubs-keep-place-based-advertisers-in-good-shape-in-q1-2010/#comments</comments>
		<pubDate>Mon, 12 Jul 2010 20:32:14 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Media + Entertainment]]></category>
		<category><![CDATA[Nielsen News]]></category>
		<category><![CDATA[Best Buy]]></category>
		<category><![CDATA[Fourth Screen Network Audience Report]]></category>
		<category><![CDATA[health clubs]]></category>
		<category><![CDATA[place-based advertising]]></category>

		<guid isPermaLink="false">http://blog.nielsen.com/nielsenwire/?p=22863</guid>
		<description><![CDATA[According to Nielsen's newly released Fourth Screen Network Audience Report for Q1 2010, health club networks drew 25% more monthly video exposures among adults 18+ compared to the fourth quarter of 2009. ]]></description>
			<content:encoded><![CDATA[<p>As health club patrons worked to get their waists smaller in the first few months of this year, advertisers in those clubs saw their audiences get larger.</p>
<p>According to Nielsen&#8217;s Fourth Screen Network Audience Report for Q1 2010, health club networks drew 25% more monthly video exposures among adults 18+ compared to the fourth quarter of 2009. The increase was consistent across other key demographics, including among males and females age 18-34 and 18-49.</p>
<p>&#8220;Health clubs see a flood of traffic in the first few months of the year, and that has a direct effect on advertisers in those venues,&#8221; said Paul Lindstrom, Sr. VP of Nielsen&#8217;s On Location service. &#8220;For the first time, advertisers and networks can use Nielsen&#8217;s Fourth Screen Report to quantify exactly how many more exposures they can expect in this sort of seasonal bump.&#8221;</p>
<p>Overall, the place-based video networks included in both quarterly reports earned 11% more gross monthly exposures among adults 18+ in the first three months of 2010, on average, compared to the results posted in the Q4 2009 report. Movie Theaters remain the largest sector represented in the report, with 65.6 million total gross video ad exposures among adults 18+ in the first quarter, a 6% increase over Q4 2009.</p>
<table class="chart" border="0">
<tbody>
<tr>
<th colspan="5">Gross Monthly Digital Video Ad Exposures, P18+<br />
(1Q 2010 vs. 4Q 2009)</th>
</tr>
<tr>
<th>NETWORK</th>
<th>VENUE</th>
<th>1Q 2010</th>
<th>4Q 2009</th>
<th>% CHANGE</th>
</tr>
<tr>
<td class="axis">NCM</td>
<td>Movie Theaters</td>
<td>38,521,162</td>
<td>35,301,188</td>
<td style="text-align: right;">9.1%</td>
</tr>
<tr>
<td class="axis">Zoom Fitness</td>
<td>Health Clubs</td>
<td>34,747,122</td>
<td>29,396,229</td>
<td style="text-align: right;">18.2%</td>
</tr>
<tr>
<td class="axis">Screenvision</td>
<td>Movie Theaters</td>
<td>27,061,324</td>
<td>26,390,071</td>
<td style="text-align: right;">2.5%</td>
</tr>
<tr>
<td class="axis">AMI</td>
<td>Bar/Restaurants</td>
<td>25,164,102</td>
<td>22,609,400</td>
<td style="text-align: right;">11.3%</td>
</tr>
<tr>
<td class="axis">The Hotel Networks</td>
<td>Hotels</td>
<td>24,898,741</td>
<td style="text-align: right;">22,196,922</td>
<td style="text-align: right;">12.2%</td>
</tr>
<tr>
<td class="axis">GSTV</td>
<td>Gas Stations</td>
<td>21,090,293</td>
<td>21,306,028</td>
<td style="text-align: right;">-1.0%</td>
</tr>
<tr>
<td class="axis">RMG Fitness</td>
<td>Health Clubs</td>
<td>13,996,248</td>
<td>9,548,019</td>
<td style="text-align: right;">46.6%</td>
</tr>
<tr>
<td class="axis"><strong>TOTAL </strong></td>
<td><strong> </strong></td>
<td><strong>185,478,992 </strong></td>
<td><strong>166,747,857 </strong></td>
<td style="text-align: right;"><strong>11.2%</strong></td>
</tr>
<tr>
<td class="table_meta" colspan="5">Source: The Nielsen Company</td>
</tr>
</tbody>
</table>
<p><!-- end chart --></p>
<p>The newly-released report comes just three months after <a href="http://blog.nielsen.com/nielsenwire/media_entertainment/nielsens-inaugural-fourth-screen-report-for-location-based-video-ad-networks/">the inaugural Fourth Screen Report,</a> which looked at placed-based video exposures in Q4 2009. The data - which measure audience exposures by video networks in out-of-home locations like movie theaters, bars, restaurants, retail stores and other place-based venues &#8211; offer agencies and networks an easier way to compare place-based advertising audiences to TV, Internet, and Mobile.</p>
<p>The Q1 2010 report also includes for the first time data on Best Buy&#8217;s video network, making it the first retailer-owned network to be included in the report. The network accounted for 24 million gross video exposures per month in the first quarter.</p>
]]></content:encoded>
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		<item>
		<title>The Demand Chain: A New Way to Compete and Win</title>
		<link>http://blog.nielsen.com/nielsenwire/consumer/the-demand-chain-a-new-way-to-compete-and-win/</link>
		<comments>http://blog.nielsen.com/nielsenwire/consumer/the-demand-chain-a-new-way-to-compete-and-win/#comments</comments>
		<pubDate>Fri, 18 Jun 2010 14:24:00 +0000</pubDate>
		<dc:creator>Nielsen Wire</dc:creator>
				<category><![CDATA[Consumer]]></category>
		<category><![CDATA[Best Buy]]></category>
		<category><![CDATA[Consumer 360]]></category>
		<category><![CDATA[Dave Calhoun]]></category>
		<category><![CDATA[demand]]></category>
		<category><![CDATA[demand chain]]></category>
		<category><![CDATA[Hershey]]></category>
		<category><![CDATA[How Companies Win]]></category>
		<category><![CDATA[pricing]]></category>
		<category><![CDATA[supply chain]]></category>
		<category><![CDATA[the Cambridge Group]]></category>

		<guid isPermaLink="false">http://blog.nielsen.com/nielsenwire/?p=22508</guid>
		<description><![CDATA[Rick Kash, CEO, The Cambridge Group, Jason Green, Principal at The Cambridge Group and Dan Vucovich, Vice President, Global Chief Customer Officer, The Hershey Company presented at Nielsen’s Consumer 360 conference on how oversupply and flattening demand are driving pricing power down, requiring retailers and manufacturers to dig deeper into determining how to attract the right customer]]></description>
			<content:encoded><![CDATA[<p>Rick Kash, CEO, The Cambridge Group, Jason Green, Principal at The Cambridge Group and Dan Vucovich, Vice President, Global Chief Customer Officer, The Hershey Company presented at Nielsen’s <a href="http://www.consumer360.com">Consumer 360</a> conference on how oversupply and flattening demand are driving pricing power down, requiring retailers and manufacturers to dig deeper into determining how to attract the right customer.  When you have oversupply, you have to know demand better than your competitors.</p>
<p>From post World War II to about 1990, industry supply and aggregate consumption were approximately equal.  In this situation, pricing power is strong. However, the impact of globalization, technology and productivity gains has generated a significant oversupply situation – a 25% increase.  The impact of this oversupply situation on pricing power has been dramatic, driving pricing power down by 43%.</p>
<p>The traditional supply-driven approach pushes supply into the market.  As demand shifts, the push approach can lead to significant misalignment with dynamic demand.  Companies with offers that are misaligned with demand end up as commodities that are a “Price Taker.”</p>
<p><strong>Win on Demand<br />
</strong>Going forward, successful growth companies will compete on supply, but will win on demand.  The “Demand Paradigm” anticipates current, latent and emerging demand and creates pull for its offers.  Offers that are in demand create pricing power and the ability to be a “Market Maker.”</p>
<p>The demand chain signifies the arrival of a new level of precision where manufacturers, retailers and media companies look at the consumer through a single integrated lens.</p>
<p><a href="http://blog.nielsen.com/nielsenwire/wp-content/uploads/2010/06/demand-lens.png"><img class="aligncenter size-full wp-image-22509" title="demand-lens" src="http://blog.nielsen.com/nielsenwire/wp-content/uploads/2010/06/demand-lens.png" alt="demand-lens" width="575" height="390" /></a></p>
<p><strong>Demand Landscape<br />
</strong>“Life Enrichment” or the “forces and factors” that shape demand, manifests itself across the ways consumers live, learn, work and play.  By redefining the market around Life Enrichment, new opportunities for growth are opened.</p>
<p>The Demand Landscape creates a more precise understanding of usage need states and shopping drivers and benefits sought from a retailer.  Detailed economics are created for each of these intersections to determine where the most profitable opportunities are found.</p>
<p><strong>Re-Thinking – Not Re-Engineering<br />
</strong>The constant companion of change is opportunity.  Now is the time to seize the moment to embrace the arc of the growth. A forthcoming book,  <em>How Companies Can Win</em>, co-authored by Nielsen CEO David Calhoun and Rick Kash rings the bell of change and defines the strategies of how to create competitive advantage.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>Building Customer Loyalty In A Recession</title>
		<link>http://blog.nielsen.com/nielsenwire/consumer/building-customer-loyalty-in-a-recession/</link>
		<comments>http://blog.nielsen.com/nielsenwire/consumer/building-customer-loyalty-in-a-recession/#comments</comments>
		<pubDate>Tue, 04 Aug 2009 14:17:43 +0000</pubDate>
		<dc:creator>Nielsen Wire</dc:creator>
				<category><![CDATA[Consumer]]></category>
		<category><![CDATA[Nielsen News]]></category>
		<category><![CDATA[Best Buy]]></category>
		<category><![CDATA[Consumer Insight]]></category>
		<category><![CDATA[customer loyalty]]></category>
		<category><![CDATA[innovation]]></category>
		<category><![CDATA[marketing]]></category>
		<category><![CDATA[Nielsen Claritas]]></category>
		<category><![CDATA[PRIZM]]></category>

		<guid isPermaLink="false">http://blog.nielsen.com/nielsenwire/?p=14303</guid>
		<description><![CDATA[Most businesses want to build a loyal customer base, people who will frequent their stores or buy their products on a regular basis and talk positively about their experiences with their friends and associates.  Loyal customers provide a steady revenue stream, higher profit margins and confirmed evangelists who do much of their marketing for them. 
With the country in the grips of a recession, however, consumers are focusing on price more than where they purchase goods.  Recent surveys have reported a decline in corporate allegiance.  But all is not lost for ...]]></description>
			<content:encoded><![CDATA[<p>Most businesses want to build a loyal customer base, people who will frequent their stores or buy their products on a regular basis and talk positively about their experiences with their friends and associates.  Loyal customers provide a steady revenue stream, higher profit margins and confirmed evangelists who do much of their marketing for them. </p>
<p>With the country in the grips of a recession, however, consumers are focusing on price more than where they purchase goods.  Recent surveys have reported a decline in corporate allegiance.  But all is not lost for companies who are willing to take a hard look at classic marketing tool &#8211; consumer segmentation &#8211; and applying its concepts in new and innovative ways. </p>
<p>Best Buy, for example, launched a customer-centric program based on segmentation that now is at the heart of its corporate growth strategy.  By classifying its best customers into five consumer segments, targeting them with marketing and changing the way stores look and training associates in new ways, the company has posted same-store sales growth in excess of 9 percent &#8211; more than double that of outlets that haven&#8217;t converted to the model and no small feat given the current economic challenges.</p>
<p>Nielsen has been at the forefront of consumer segmentation since the 1970s; its PRIZM system draws on a range of U.S. Census data and market research to classify all 114 million U.S. households into one of 66 consumer types.  Systems like PRIZM can help companies build stronger relationships with customers through tailored marketing and help them retain consumer loyalty, even when conditions are less than ideal.</p>
<p>Read more about how consumer segmentation works and can help innovative companies develop a competitive edge in the new edition of <a href="http://en-us.nielsen.com/main/insights/consumer_insight/August2009/building_loyalty_one">Consumer Insight</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>Top Holiday Retail TV Ads: Narratives, Nostalgia Trump Price Appeals</title>
		<link>http://blog.nielsen.com/nielsenwire/consumer/top-holiday-retail-tv-ads-narratives-nostalgia-trump-price-appeals/</link>
		<comments>http://blog.nielsen.com/nielsenwire/consumer/top-holiday-retail-tv-ads-narratives-nostalgia-trump-price-appeals/#comments</comments>
		<pubDate>Tue, 23 Dec 2008 17:43:03 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Consumer]]></category>
		<category><![CDATA[Media + Entertainment]]></category>
		<category><![CDATA[Nielsen News]]></category>
		<category><![CDATA[Best Buy]]></category>
		<category><![CDATA[consumer trends]]></category>
		<category><![CDATA[holiday]]></category>
		<category><![CDATA[holiday retail]]></category>
		<category><![CDATA[Kay Jewelers]]></category>
		<category><![CDATA[likeability]]></category>
		<category><![CDATA[Macy's]]></category>
		<category><![CDATA[most popular TV ads]]></category>
		<category><![CDATA[RadioShack]]></category>
		<category><![CDATA[Target]]></category>
		<category><![CDATA[TV ads]]></category>
		<category><![CDATA[Victoria's Secret]]></category>
		<category><![CDATA[Wal-Mart]]></category>

		<guid isPermaLink="false">http://blog.nielsen.com/nielsenwire/?p=6382</guid>
		<description><![CDATA[With curtailed consumer spending widely forecast this holiday season, retailers might be expected to concentrate their TV ads on hard-hitting sale messaging aimed at price-conscious viewers.
But according to an analysis of the most effective holiday retail TV ads, released Tuesday by Nielsen IAG, retailers did not appear to increase the proportion of promotional ads in the mix this year. 
About half of all TV ads so far this holiday season (Nov. 17 &#8211; Dec. 14) have been brand-focused, while the other half have been devoted to sales/price-focused messages &#8212; as was the case during the 2007 ...]]></description>
			<content:encoded><![CDATA[<p><a href="http://blog.nielsen.com/nielsenwire/wp-content/uploads/2008/12/tv_ad1.jpg"><img class="alignleft size-medium wp-image-6390" title="50s TV commercial" src="http://blog.nielsen.com/nielsenwire/wp-content/uploads/2008/12/tv_ad1.jpg" alt="" width="98" height="150" /></a>With <a href="http://blog.nielsen.com/nielsenwire/consumer/us-consumers-curtail-2008-holiday-spending/" target="_blank">curtailed consumer spending</a> widely forecast this holiday season, retailers might be expected to concentrate their TV ads on hard-hitting sale messaging aimed at price-conscious viewers.</p>
<p>But according to an <a href="http://blog.nielsen.com/nielsenwire/wp-content/uploads/2008/12/nielsen-iag_holiday-retail-ad-effectiveness-report_122208.pdf">analysis</a> of the most effective holiday retail TV ads, released Tuesday by Nielsen IAG, retailers did not appear to increase the proportion of promotional ads in the mix this year. </p>
<p>About half of all TV ads so far this holiday season (Nov. 17 &#8211; Dec. 14) have been brand-focused, while the other half have been devoted to sales/price-focused messages &#8212; as was the case during the 2007 holiday season.</p>
<p><strong>What&#8217;s Hot</strong><br />
Instead of promoting sales events and low prices, the most effective TV ads from retailers this holiday season used strong narratives, nostalgia, and family-focused storylines to communicate a brand&#8217;s benefits to viewers. </p>
<p>“Practical” messages for shoppers were also a successful theme.  Take this year&#8217;s most liked holiday retail ad &#8212; a Wal-Mart spot that shows lights atop all of the cash register lanes flashing on and off, in sync with a well-known holiday song.  The key message is clear: more open register lanes at Wal-Mart make shopping there more convenient.</p>
<p><strong>What&#8217;s Not</strong> <br />
What didn&#8217;t work this year?  According to Nielsen, seven of the 10 least liked holiday TV ads were 15-seconds spots &#8212; an indication that shorter-length ads garnered less appeal, in this case. </p>
<p>What&#8217;s more, the elements that helped enhance appeal levels in the best-liked ads were largely lacking in the less popular spots.  According to Nielsen, among the commercials at the bottom of the pack, promotional messaging generally accounted for a greater share of the creative, leaving proportionally less room for &#8220;entertainment value.&#8221;</p>
<p><span id="more-6382"></span></p>
<p><strong>10 Most-Liked Holiday Retail Ads (Nov. 17 &#8211; Dec. 14, 2008)</strong></p>
<table class="chart" border="0">
<tbody>
<tr>
<th>Rank</th>
<th>Brand</th>
<th>Ad Description (length in seconds)</th>
<th>Likeability Index</th>
</tr>
<tr>
<td class="axis">1</td>
<td>Wal-Mart</td>
<td>Employees turn on register lights to the tune of a Christmas song; we&#8217;re opening more lanes (:30)</td>
<td>171</td>
</tr>
<tr>
<td class="axis">2</td>
<td>Macy&#8217;s</td>
<td>TV and film clips from the past to the present; the magic of Macy&#8217;s (:30)</td>
<td>155</td>
</tr>
<tr>
<td class="axis">3</td>
<td>Macy&#8217;s</td>
<td>Celebrities read &#8220;Yes, Virginia there is a Santa Claus&#8221; (:30)</td>
<td>154</td>
</tr>
<tr>
<td class="axis">4</td>
<td>Best Buy</td>
<td>Employee talks about showing webcams to man whose grandkids are now in Africa (:30)</td>
<td>150</td>
</tr>
<tr>
<td class="axis">5</td>
<td>RadioShack</td>
<td>Best gifts ever; woman talks about twin daughters; iPod Nano and speaker dock; sales associate helped her (:30)</td>
<td>136</td>
</tr>
<tr>
<td class="axis">6</td>
<td>Target</td>
<td>Children&#8217;s holiday school play; includes &#8220;elves are elated; splurging is dated&#8221; (:30)</td>
<td>133</td>
</tr>
<tr>
<td class="axis">7</td>
<td>Best Buy</td>
<td>Employee talks about helping woman buy new phone for husband; has her cell phone ring whil under the Christmas tree (:30)</td>
<td>133</td>
</tr>
<tr>
<td class="axis">8</td>
<td>Kay Jewelers</td>
<td>Man uses sign language with woman; gives her diamond earings for Christmas (:30)</td>
<td>132</td>
</tr>
<tr>
<td class="axis">9</td>
<td>Target</td>
<td>Girl in fairy costume sits on swing during school play (:15)</td>
<td>132</td>
</tr>
<tr>
<td class="axis">10</td>
<td>Victoria&#8217;s Secret</td>
<td>Models wander through mansion in brass and ruffled skirts; gift boxes shown being passed around (:15)</td>
<td>130</td>
</tr>
<tr>
<th class="table_meta" colspan="4">Source: The Nielsen Company (November 17, 2008 &#8211; December 14, 2008.)</th>
</tr>
<tr>
<th class="table_meta" colspan="4">Note: Data is based on primetime broadcast airings only. Nielsen IAG&#8217;s panel includes viewers ages 13 and older.</th>
</tr>
</tbody>
</table>
<p>Likeability refers to the percentage of television viewers who report liking an ad &#8220;a lot&#8221; after viewing it, among those who are able to recall an ad&#8217;s brand.</p>
<p>An ad&#8217;s &#8220;likeability score&#8221; is the percentage of television viewers who report liking an ad &#8220;a lot&#8221; (among those who can recall an ad&#8217;s brand) after being exposed to it during the normal course of viewing primetime TV on the broadcast networks.</p>
<p>Likeability scores are indexed against the mean score for all ads during the time period to calculate a “likeability index.”  A likeability index of 100 indicates average recall. A likeability index of 171, for example, means that an ad was 71% better liked than the average new ad during the four-week time period.</p>
<p><strong>Read the </strong><a href="http://blog.nielsen.com/nielsenwire/wp-content/uploads/2008/12/nielsen-iag_holiday-retail-ad-effectiveness-report_1222081.pdf"><strong>full report</strong></a><strong>.</strong></p>
]]></content:encoded>
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		<item>
		<title>Top Computers, Consumer Electronics Online Destinations: November 2008</title>
		<link>http://blog.nielsen.com/nielsenwire/consumer/top-computers-consumer-electronics-online-destinations-november-2008/</link>
		<comments>http://blog.nielsen.com/nielsenwire/consumer/top-computers-consumer-electronics-online-destinations-november-2008/#comments</comments>
		<pubDate>Tue, 16 Dec 2008 18:04:48 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Consumer]]></category>
		<category><![CDATA[Nielsen News]]></category>
		<category><![CDATA[Online + Mobile]]></category>
		<category><![CDATA[Adobe]]></category>
		<category><![CDATA[Apple]]></category>
		<category><![CDATA[Best Buy]]></category>
		<category><![CDATA[Circuit City]]></category>
		<category><![CDATA[CNET]]></category>
		<category><![CDATA[computer]]></category>
		<category><![CDATA[Consumer electronics]]></category>
		<category><![CDATA[Dell]]></category>
		<category><![CDATA[e-retailers]]></category>
		<category><![CDATA[eBay Electronics]]></category>
		<category><![CDATA[economy]]></category>
		<category><![CDATA[Flickr]]></category>
		<category><![CDATA[Hewlett Packard]]></category>
		<category><![CDATA[holiday]]></category>
		<category><![CDATA[Microsoft]]></category>
		<category><![CDATA[Mozilla]]></category>
		<category><![CDATA[online shopping]]></category>
		<category><![CDATA[retail]]></category>
		<category><![CDATA[retail trends]]></category>
		<category><![CDATA[video games]]></category>

		<guid isPermaLink="false">http://blog.nielsen.com/nielsenwire/?p=5396</guid>
		<description><![CDATA[Among the top computer and consumer electronics websites for November, computer giants Microsoft and Apple easily drew the largest unique audiences, according to Nielsen Online. 
Visitors to Apple&#8217;s site logged the longest average stay-times.



Rank
(by UA, Nov. 2008)
Top 10
Computer &#38; Consumer Electronics
Web Brands:
Nov. 2008
Unique Audience:
Nov. 2008
(in 000s)
Time Per Person (hh:mm:ss)


1
Microsoft
95,543
0:45:44


2
Apple
52,909
1:12:27


3
Adobe
29,472
0:05:19


4
Hewlett Packard
23,435
0:09:58


5
Best Buy
22,138
0:11:28


6
Flickr
19,304
0:09:06


7
CNET
17,935
0:06:23


8
Dell
17,058
0:18:38


9
Circuit City
16,609
0:08:18


10
Mozilla
14,400
0:02:23


Source: Nielsen Online (November 2008 ).


Note: Web properties reported at either the brand or channel market level and can include multiple URL&#8217;s.



]]></description>
			<content:encoded><![CDATA[<p>Among the top computer and consumer electronics websites for November, computer giants Microsoft and Apple easily drew the largest unique audiences, according to Nielsen Online. </p>
<p>Visitors to Apple&#8217;s site logged the longest average stay-times.</p>
<table class="chart" border="0">
<tbody>
<tr>
<th>Rank<br />
(by UA, Nov. 2008)</th>
<th>Top 10<br />
Computer &amp; Consumer Electronics<br />
Web Brands:<br />
Nov. 2008</th>
<th>Unique Audience:<br />
Nov. 2008<br />
(in 000s)</th>
<th>Time Per Person (hh:mm:ss)</th>
</tr>
<tr>
<td class="axis">1</td>
<td>Microsoft</td>
<td>95,543</td>
<td>0:45:44</td>
</tr>
<tr>
<td class="axis">2</td>
<td>Apple</td>
<td>52,909</td>
<td>1:12:27</td>
</tr>
<tr>
<td class="axis">3</td>
<td>Adobe</td>
<td>29,472</td>
<td>0:05:19</td>
</tr>
<tr>
<td class="axis">4</td>
<td>Hewlett Packard</td>
<td>23,435</td>
<td>0:09:58</td>
</tr>
<tr>
<td class="axis">5</td>
<td>Best Buy</td>
<td>22,138</td>
<td>0:11:28</td>
</tr>
<tr>
<td class="axis">6</td>
<td>Flickr</td>
<td>19,304</td>
<td>0:09:06</td>
</tr>
<tr>
<td class="axis">7</td>
<td>CNET</td>
<td>17,935</td>
<td>0:06:23</td>
</tr>
<tr>
<td class="axis">8</td>
<td>Dell</td>
<td>17,058</td>
<td>0:18:38</td>
</tr>
<tr>
<td class="axis">9</td>
<td>Circuit City</td>
<td>16,609</td>
<td>0:08:18</td>
</tr>
<tr>
<td class="axis">10</td>
<td>Mozilla</td>
<td>14,400</td>
<td>0:02:23</td>
</tr>
<tr>
<th class="table_meta" colspan="4">Source: Nielsen Online (November 2008 ).</th>
</tr>
<tr>
<th class="table_meta" colspan="5">Note: Web properties reported at either the brand or channel market level and can include multiple URL&#8217;s.</th>
</tr>
</tbody>
</table>
]]></content:encoded>
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		<title>78% Of U.S. Adults Shopped Online In Previous 6 Months</title>
		<link>http://blog.nielsen.com/nielsenwire/consumer/78-of-us-adults-shopped-online-in-preview-6-months/</link>
		<comments>http://blog.nielsen.com/nielsenwire/consumer/78-of-us-adults-shopped-online-in-preview-6-months/#comments</comments>
		<pubDate>Wed, 12 Nov 2008 20:38:01 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Consumer]]></category>
		<category><![CDATA[Nielsen News]]></category>
		<category><![CDATA[Online + Mobile]]></category>
		<category><![CDATA[Amazon.com]]></category>
		<category><![CDATA[Best Buy]]></category>
		<category><![CDATA[com]]></category>
		<category><![CDATA[credit cards]]></category>
		<category><![CDATA[Dell]]></category>
		<category><![CDATA[ebay]]></category>
		<category><![CDATA[economy]]></category>
		<category><![CDATA[home banking]]></category>
		<category><![CDATA[internet]]></category>
		<category><![CDATA[JCPenney]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[online commerce]]></category>
		<category><![CDATA[online purchase]]></category>
		<category><![CDATA[online shopping]]></category>
		<category><![CDATA[online transaction]]></category>
		<category><![CDATA[Sears]]></category>
		<category><![CDATA[Target]]></category>
		<category><![CDATA[The Home Depot]]></category>
		<category><![CDATA[travel]]></category>
		<category><![CDATA[WalMart.com]]></category>
		<category><![CDATA[Web commerce]]></category>

		<guid isPermaLink="false">http://blog.nielsen.com/nielsenwire/?p=4624</guid>
		<description><![CDATA[With the holiday season about to begin, Americans are already flocking online to do their shopping.
According to Nielsen Online, 78% of adult online consumers in the U.S. made a purchase via the Web within the previous six months.
Travel-related transactions were most common, with 38% of adult online consumers making at least one travel purchase on the Web in the previous six months.
Large percentages of online consumers also went online to manage their credit card accounts (36%) and conduct personal banking transactions (35%).



Rank
Top
Online Transaction Categories
(U.S. Adults)
Composition
Percentage
Reach
(in 000s)


1
Online Travel &#8211; Any (p/online 6 mo.)
38%
54,417


2
Credit ...]]></description>
			<content:encoded><![CDATA[<p><a href="http://blog.nielsen.com/nielsenwire/wp-content/uploads/2008/11/online_shopping.jpg"><img class="alignleft size-medium wp-image-4635" title="online_shopping" src="http://blog.nielsen.com/nielsenwire/wp-content/uploads/2008/11/online_shopping-300x201.jpg" alt="" width="150" height="100" /></a>With the holiday season about to begin, Americans are already flocking online to do their shopping.</p>
<p><a href="http://blog.nielsen.com/nielsenwire/wp-content/uploads/2008/11/press_release5.pdf">According to</a> Nielsen Online, 78% of adult online consumers in the U.S. made a purchase via the Web within the previous six months.</p>
<p>Travel-related transactions were most common, with 38% of adult online consumers making at least one travel purchase on the Web in the previous six months.</p>
<p>Large percentages of online consumers also went online to manage their credit card accounts (36%) and conduct personal banking transactions (35%).</p>
<table class="chart" border="0">
<tbody>
<tr>
<th>Rank</th>
<th>Top<br />
Online Transaction Categories<br />
(U.S. Adults)</th>
<th>Composition<br />
Percentage</th>
<th>Reach<br />
(in 000s)</th>
</tr>
<tr>
<td class="axis">1</td>
<td>Online Travel &#8211; Any (p/online 6 mo.)</td>
<td>38%</td>
<td>54,417</td>
</tr>
<tr>
<td class="axis">2</td>
<td>Credit Cards &#8211; Manage Account (t/online/6 mo.)</td>
<td>36%</td>
<td>51,731</td>
</tr>
<tr>
<td class="axis">3</td>
<td>Home Banking (t/online/6 mo.)</td>
<td>35%</td>
<td>49,899</td>
</tr>
<tr>
<td class="axis">4</td>
<td>Clothes/Shoes/Acc. &#8211; Any (p/online/6 mo.)</td>
<td>28%</td>
<td>40,075</td>
</tr>
<tr>
<td class="axis">5</td>
<td>Books (p/online/6 mo.)</td>
<td>26%</td>
<td>37,001</td>
</tr>
<tr>
<td class="axis">6</td>
<td>Hotel/Motel Reservations (p/online/6 mo.)</td>
<td>18%</td>
<td>26,055</td>
</tr>
<tr>
<td class="axis">7</td>
<td>Auctions (p/online/6 mo.)</td>
<td>16%</td>
<td>23,449</td>
</tr>
<tr>
<td class="axis">8</td>
<td>Event Tickets (p/online/6 mo.)</td>
<td>14%</td>
<td>20,820</td>
</tr>
<tr>
<td class="axis">9</td>
<td>Insurance &#8211; Any (t/online/6 mo.)</td>
<td>11%</td>
<td>16,385</td>
</tr>
<tr>
<td class="axis">10</td>
<td>Computer Software &#8211; Any (p/online/6 mo.)</td>
<td>11%</td>
<td>15,580</td>
</tr>
<tr>
<th class="table_meta" colspan="4">Source: The Nielsen Company, Nielsen Online, @Plan, Winter 2008/2009 Release.</th>
</tr>
<tr>
<th class="table_meta" colspan="4">Note: “p” = “purchase” and “t” = “transaction”</th>
</tr>
</tbody>
</table>
<p>Nielsen&#8217;s findings are based on data from @Plan, a quarterly survey of approximately 36,000 U.S. Internet users age 18 and older.</p>
<p><span id="more-4624"></span></p>
<p>In October, eBay and Amazon were the top two online retailers, drawing 49.2 million and 48.3 million unique visitors, respectively.  Wal-Mart, Target, and Netflix rounded out the top five.</p>
<table class="chart" border="0">
<tbody>
<tr>
<th>Rank<br />
(by U.A.)</th>
<th>Top Online Retailers:<br />
October 2008</th>
<th>Unique Audience<br />
(in 000s)</th>
<th>Time Per Person<br />
(hh:mm:ss)</th>
</tr>
<tr>
<td class="axis">1</td>
<td>eBay</td>
<td>49,213</td>
<td>1:47:26</td>
</tr>
<tr>
<td class="axis">2</td>
<td>Amazon</td>
<td>48,261</td>
<td>0:22:45</td>
</tr>
<tr>
<td class="axis">3</td>
<td>Wal-Mart Stores</td>
<td>25,312</td>
<td>0:13:55</td>
</tr>
<tr>
<td class="axis">4</td>
<td>Target</td>
<td>23,827</td>
<td>0:09:36</td>
</tr>
<tr>
<td class="axis">5</td>
<td>Netflix</td>
<td>14,284</td>
<td>0:34:58</td>
</tr>
<tr>
<td class="axis">6</td>
<td>Dell</td>
<td>14,272</td>
<td>0:14:13</td>
</tr>
<tr>
<td class="axis">7</td>
<td>Best Buy</td>
<td>12,446</td>
<td>0:10:57</td>
</tr>
<tr>
<td class="axis">8</td>
<td>Sears</td>
<td>11,752</td>
<td>0:07:33</td>
</tr>
<tr>
<td class="axis">9</td>
<td>The Home Depot</td>
<td>11,053</td>
<td>0:09:52</td>
</tr>
<tr>
<td class="axis">10</td>
<td>JCPenney</td>
<td>10,703</td>
<td>0:16:09</td>
</tr>
<tr>
<th class="table_meta" colspan="4">Source: The Nielsen Company, Nielsen Online, Custom Analysis (October 2008).</th>
</tr>
</tbody>
</table>
<p>&#8220;The challenge for retailers is no longer how to lure shoppers online, but how to differentiate their brand among all others,&#8221; Nachi Lolla, research director, commerce, Nielsen Online, noted.  &#8220;Heading into this competitive holiday shopping season, selection, price, and customer service are the key areas in which retailers can shine.&#8221;</p>
<p>View the full <a href="http://blog.nielsen.com/nielsenwire/wp-content/uploads/2008/11/press_release4.pdf">press release</a>.</p>
<p>Read coverage of Nielsen&#8217;s findings on <a href="http://www.dmwmedia.com/news/2008/11/13/report:-80%25-online-consumers-making-web-purchases" target="_blank">Digital Media Wire</a> and in <a href="http://www.brandweek.com/bw/content_display/news-and-features/digital/e3ibfc872c5b952c69bef98a326b981d4d6" target="_blank">Brandweek</a> and <a href="http://www.bizreport.com/2008/11/nielsen_80_of_us_adults_have_shopped_online_since_may.html" target="_blank">BizReport.com</a>.</p>
]]></content:encoded>
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