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	<title>XKE Data &#187; Site Stats</title>
	<atom:link href="http://xkedata.com/blog/category/stats/feed/" rel="self" type="application/rss+xml" />
	<link>http://xkedata.com/blog</link>
	<description>Latest News on the Data Sites</description>
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		<title>12,000 E-Types</title>
		<link>http://xkedata.com/blog/2010/01/26/12000-e-types/</link>
		<comments>http://xkedata.com/blog/2010/01/26/12000-e-types/#comments</comments>
		<pubDate>Tue, 26 Jan 2010 12:54:49 +0000</pubDate>
		<dc:creator>roger</dc:creator>
				<category><![CDATA[Site Stats]]></category>

		<guid isPermaLink="false">http://xkedata.com/blog/?p=372</guid>
		<description><![CDATA[Thanks to everyone who has added cars to the database! Looks like the next &#8220;even thousand&#8221; landmark might be 1,000 Big Healeys.]]></description>
			<content:encoded><![CDATA[<p>Thanks to everyone who has added cars to the database! Looks like the next &#8220;even thousand&#8221; landmark might be 1,000 Big Healeys.</p>
]]></content:encoded>
			<wfw:commentRss>http://xkedata.com/blog/2010/01/26/12000-e-types/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<item>
		<title>Site Stats: August 14 &#8211; September 13, 2009</title>
		<link>http://xkedata.com/blog/2009/09/14/site-stats-august-14-september-13-2009/</link>
		<comments>http://xkedata.com/blog/2009/09/14/site-stats-august-14-september-13-2009/#comments</comments>
		<pubDate>Tue, 15 Sep 2009 04:25:43 +0000</pubDate>
		<dc:creator>roger</dc:creator>
				<category><![CDATA[Site Stats]]></category>

		<guid isPermaLink="false">http://xkedata.com/blog/?p=246</guid>
		<description><![CDATA[Once again we present one of our occasional month-long snapshots of traffic to the various data sites; this is reflecting changes from the previous 31 day&#8217;s totals. Site Visits Per day Pages Per day Avg. Time Bounce Rate Change www.xkedata.com 9,384 303 154,568 4,986 00:06:26 30.01% Up 0.9% www.xkdata.com 3,810 123 65,042 2,098 00:06:29 25.12% [...]]]></description>
			<content:encoded><![CDATA[<p>Once again we present one of our occasional month-long snapshots of traffic to the various data sites; this is reflecting changes from the previous 31 day&#8217;s totals.</p>
<div id="results" style="width: 100%">
<table cellpadding="5" cellspacing="0" border="0" name="results" style="width: 80%; margin: 0px auto;">
<tr>
<th class="tableft">Site</th>
<th>Visits</th>
<th>Per day</th>
<th>Pages</th>
<th>Per day</th>
<th>Avg. Time</th>
<th>Bounce Rate</th>
<th class="tabright">Change</th>
</tr>
<tr>
<td class="tableft">www.xkedata.com</td>
<td>9,384</td>
<td>303</td>
<td>154,568</td>
<td>4,986</td>
<td>00:06:26</td>
<td>30.01%</td>
<td class="tabright">Up 0.9%</td>
</tr>
<tr style="background: #f4f4f4;">
<td class="tableft">www.xkdata.com</td>
<td>3,810</td>
<td>123</td>
<td>65,042 </td>
<td>2,098</td>
<td>00:06:29</td>
<td>25.12%</td>
<td class="tabright">Down 1.37%</td>
</tr>
<tr>
<td class="tableft">www.healeydata.com</td>
<td>2,324</td>
<td>75</td>
<td>39,798</td>
<td>1,284</td>
<td>00:05:12</td>
<td>29.09%</td>
<td class="tabright">Up 6.31%</td>
</tr>
<tr style="background: #f4f4f4;">
<td class="tableft">www.coventryracers.com</td>
<td>744</td>
<td>24</td>
<td>9,082</td>
<td>293</td>
<td>00:05:07</td>
<td>31.45%</td>
<td class="tabright">Up 16.07%</td>
</tr>
<tr>
<td class="tableft">www.xjsdata.com</td>
<td>1,024</td>
<td>33</td>
<td>10,705</td>
<td>345</td>
<td>00:04:26</td>
<td>44.24%</td>
<td class="tabright">Down 2.10%</td>
</tr>
<tr style="background: #f4f4f4;">
<td class="tableft">www.saloondata.com</td>
<td>784</td>
<td>25</td>
<td>13,127</td>
<td>423</td>
<td>00:06:55</td>
<td>22.83%</td>
<td class="tabright">Up 14.62%</td>
</tr>
<tr>
<td class="tableft">www.xj6data.com</td>
<td>374</td>
<td>12</td>
<td>4,575</td>
<td>148</td>
<td>00:05:46</td>
<td>33.42%</td>
<td class="tabright">Up 10.65%</td>
</tr>
<tr>
<td class="tableft"><strong>Totals</strong></td>
<td><span style="font-weight: bold; color: red;">18,444</span></td>
<td><span style="font-weight: bold; color: red;">595</span></td>
<td><span style="font-weight: bold; color: red;">296,897</span></td>
<td><span style="font-weight: bold; color: red;">9,577</span></td>
<td>-</td>
<td>-</td>
<td class="tabright"><span style="font-weight: bold; color: red;">Up 18.1%</span></td>
</tr>
<tr>
<td class="tabwhite" colspan="8" style="border: none;"><span style="color: #555; font: 11px/13px arial,sans-serif; width: 80%; margin: 0px auto;"><strong>Visitors</strong> is the number of unique visitors to the site, but not the <em>absolute</em> unique visitors, which is generally about one third that number. <strong>Pages</strong> is just what it sounds like, how many pages were requested. <strong>Average time</strong> is the amount of time a typical visitor spends per visit.<strong>Bounce rate</strong> is the number of people who land on the site and then go away again without seeing more than a single page. The results are compared to the previous 30-day period for the <strong>change</strong> column. </span></td>
</tr>
</table>
</div>
<p>Beware of the &#8220;totals&#8221; row, as the unique visitor count is probably artificially inflated as folks tend to go from site-to-site via the menu at upper right (which, by the way, is an excellent way of seeing the total cars and photos on the various sites, it&#8217;s always up-to-date).</p>
]]></content:encoded>
			<wfw:commentRss>http://xkedata.com/blog/2009/09/14/site-stats-august-14-september-13-2009/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Visitor Statistics, 31 Days ending March 31, 2009</title>
		<link>http://xkedata.com/blog/2009/04/01/visitor-statistics-31-days-ending-march-31-2009/</link>
		<comments>http://xkedata.com/blog/2009/04/01/visitor-statistics-31-days-ending-march-31-2009/#comments</comments>
		<pubDate>Thu, 02 Apr 2009 02:58:36 +0000</pubDate>
		<dc:creator>roger</dc:creator>
				<category><![CDATA[Site Stats]]></category>

		<guid isPermaLink="false">http://xkedata.com/blog/?p=205</guid>
		<description><![CDATA[Once again we present one of our occasional month-long snapshots of traffic to the various data sites; this is reflecting changes from the previous 31 day&#8217;s totals. Site Visits Per day Pages Per day Avg. Time Bounce Rate Change www.xkedata.com 10,671 344 188,481 6,080 00:06:38 26.65% Up 1.3% www.xkdata.com 4,572 147 73,728 2,378 00:06:34 28.04% [...]]]></description>
			<content:encoded><![CDATA[<p>Once again we present one of our occasional month-long snapshots of traffic to the various data sites; this is reflecting changes from the previous 31 day&#8217;s totals.</p>
<div id="results" style="width: 100%">
<table cellpadding="5" cellspacing="0" border="0" name="results" style="width: 80%; margin: 0px auto;">
<tr>
<th class="tableft">Site</th>
<th>Visits</th>
<th>Per day</th>
<th>Pages</th>
<th>Per day</th>
<th>Avg. Time</th>
<th>Bounce Rate</th>
<th class="tabright">Change</th>
</tr>
<tr>
<td class="tableft">www.xkedata.com</td>
<td>10,671</td>
<td>344</td>
<td>188,481</td>
<td>6,080</td>
<td>00:06:38</td>
<td>26.65%</td>
<td class="tabright">Up 1.3%</td>
</tr>
<tr style="background: #f4f4f4;">
<td class="tableft">www.xkdata.com</td>
<td>4,572</td>
<td>147</td>
<td>73,728</td>
<td>2,378</td>
<td>00:06:34</td>
<td>28.04%</td>
<td class="tabright">Up 19.78%</td>
</tr>
<tr>
<td class="tableft">www.healeydata.com</td>
<td>2,859</td>
<td>92</td>
<td>51,709</td>
<td>1,668</td>
<td>00:05:40</td>
<td>28.68%</td>
<td class="tabright">Down 1.04%</td>
</tr>
<tr style="background: #f4f4f4;">
<td class="tableft">www.coventryracers.com</td>
<td>687</td>
<td>22</td>
<td>9,379</td>
<td>303</td>
<td>00:05:15</td>
<td>28.97%</td>
<td class="tabright">Down 11.24%</td>
</tr>
<tr>
<td class="tableft">www.xjsdata.com</td>
<td>881</td>
<td>28</td>
<td>9,233</td>
<td>298</td>
<td>00:04:12</td>
<td>39.95%</td>
<td class="tabright">No change</td>
</tr>
<tr style="background: #f4f4f4;">
<td class="tableft">www.saloondata.com</td>
<td>1,062</td>
<td>34</td>
<td>15,873</td>
<td>512</td>
<td>00:06:30</td>
<td>29.47%</td>
<td class="tabright">Up 26.28%</td>
</tr>
<tr>
<td class="tableft">www.xj6data.com</td>
<td>359</td>
<td>12</td>
<td>3,703</td>
<td>119</td>
<td>00:04:18</td>
<td>34.26%</td>
<td class="tabright">Up 27.76%</td>
</tr>
<tr>
<td class="tableft"><strong>Totals</strong></td>
<td><span style="font-weight: bold; color: red;">21,271</span></td>
<td><span style="font-weight: bold; color: red;">686</span></td>
<td><span style="font-weight: bold; color: red;">352,106</span></td>
<td><span style="font-weight: bold; color: red;">11,358</span></td>
<td>-</td>
<td>-</td>
<td class="tabright"><span style="font-weight: bold; color: red;">Up 6.1%</span></td>
</tr>
<tr>
<td class="tabwhite" colspan="8" style="border: none;"><span style="color: #555; font: 11px/13px arial,sans-serif; width: 80%; margin: 0px auto;"><strong>Visitors</strong> is the number of unique visitors to the site, but not the <em>absolute</em> unique visitors, which is generally about one third that number. <strong>Pages</strong> is just what it sounds like, how many pages were requested. <strong>Average time</strong> is the amount of time a typical visitor spends per visit.<strong>Bounce rate</strong> is the number of people who land on the site and then go away again without seeing more than a single page. The results are compared to the previous 30-day period for the <strong>change</strong> column. </span></td>
</tr>
</table>
</div>
<p>Beware of the &#8220;totals&#8221; row, as the unique visitor count is probably artificially inflated as folks tend to go from site-to-site via the menu at upper right (which, by the way, is an excellent way of seeing the total cars and photos on the various sites, it&#8217;s always up-to-date).</p>
]]></content:encoded>
			<wfw:commentRss>http://xkedata.com/blog/2009/04/01/visitor-statistics-31-days-ending-march-31-2009/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Visitor Statistics, 30 days ending November 20, 2008</title>
		<link>http://xkedata.com/blog/2008/11/22/visitor-statistics-30-days-ending-november-20-2008/</link>
		<comments>http://xkedata.com/blog/2008/11/22/visitor-statistics-30-days-ending-november-20-2008/#comments</comments>
		<pubDate>Sat, 22 Nov 2008 09:17:40 +0000</pubDate>
		<dc:creator>roger</dc:creator>
				<category><![CDATA[Site Stats]]></category>

		<guid isPermaLink="false">http://xkedata.com/blog/?p=148</guid>
		<description><![CDATA[If I remember and can muster the energy, I&#8217;ll post a here-is-the-past-30-days Google Analytics report on the blog every once in awhile. I have no idea how this compares to other similar enthusiast sites. We&#8217;re not all that extensively linked and I currently exclude search bots from the car pages, which eliminates tens of thousands [...]]]></description>
			<content:encoded><![CDATA[<p>If I remember and can muster the energy, I&#8217;ll post a here-is-the-past-30-days Google Analytics report on the blog every once in awhile. I have no idea how this compares to other similar enthusiast sites. We&#8217;re not all that extensively linked and I currently exclude search bots from the car pages, which eliminates tens of thousands of pages from search indexes.</p>
<div id="results" style="width: 100%">
<table cellpadding="5" cellspacing="0" border="0" name="results" style="width: 80%; margin: 0px auto;">
<tr>
<th class="tableft">Site</th>
<th>Visits</th>
<th>Per day</th>
<th>Pages</th>
<th>Per day</th>
<th>Avg. Time</th>
<th>Bounce Rate</th>
<th class="tabright">Change</th>
</tr>
<tr>
<td class="tableft">www.xkedata.com</td>
<td>9,276</td>
<td>309</td>
<td>170,818</td>
<td>5,694</td>
<td>00:07:17</td>
<td>26.32%</td>
<td class="tabright">Up 11.01%</td>
</tr>
<tr style="background: #f4f4f4;">
<td class="tableft">www.xkdata.com</td>
<td>3,439</td>
<td>115</td>
<td>66,335</td>
<td>2,211</td>
<td>00:07:11</td>
<td>22.88%</td>
<td class="tabright">Up 9.42%</td>
</tr>
<tr>
<td class="tableft">www.healeydata.com</td>
<td>2,498</td>
<td>83</td>
<td>61,675</td>
<td>2,056</td>
<td>00:06:24</td>
<td>23.82%</td>
<td class="tabright">Up 3.91%</td>
</tr>
<tr style="background: #f4f4f4;">
<td class="tableft">www.coventryracers.com</td>
<td>946</td>
<td>32</td>
<td>17,614</td>
<td>587</td>
<td>00:07:18</td>
<td>29.60%</td>
<td class="tabright">Up 2,527.78%</td>
</tr>
<tr>
<td class="tableft">www.xjsdata.com</td>
<td>783</td>
<td>26</td>
<td>15,815</td>
<td>527</td>
<td>00:06:28</td>
<td>34.87%</td>
<td class="tabright">Down -7.45%</td>
</tr>
<tr style="background: #f4f4f4;">
<td class="tableft">www.saloondata.com</td>
<td>517</td>
<td>17</td>
<td>9,571</td>
<td>319</td>
<td>00:08:20</td>
<td>25.53%</td>
<td class="tabright">Down -4.26%</td>
</tr>
<tr>
<td class="tableft">www.xj6data.com</td>
<td>484</td>
<td>16</td>
<td>4,422</td>
<td>147</td>
<td>00:03:27</td>
<td>25.41%</td>
<td class="tabright">Up 77.94%</td>
</tr>
<tr>
<td class="tableft"><strong>Totals</strong></td>
<td><span style="font-weight: bold; color: red;">17,943</span></td>
<td><span style="font-weight: bold; color: red;">598</span></td>
<td><span style="font-weight: bold; color: red;">346,250</span></td>
<td><span style="font-weight: bold; color: red;">11,542</span></td>
<td>-</td>
<td>-</td>
<td class="tabright"><span style="font-weight: bold; color: red;">Up 10.2%</span></td>
</tr>
<tr>
<td class="tabwhite" colspan="8" style="border: none;"><span style="color: #555; font: 11px/13px arial,sans-serif; width: 80%; margin: 0px auto;"><strong>Visitors</strong> is the number of unique visitors to the site, but not the <em>absolute</em> unique visitors, which is generally about one third that number. <strong>Pages</strong> is just what it sounds like, how many pages were requested. <strong>Average time</strong> is the amount of time a typical visitor spends per visit.<strong>Bounce rate</strong> is the number of people who land on the site and then go away again without seeing more than a single page. The results are compared to the previous 30-day period for the <strong>change</strong> column. </span></td>
</tr>
</table>
</div>
<p>Beware of the &#8220;totals&#8221; row, as the unique visitor count is probably artificially inflated as folks tend to go from site-to-site via the menu at upper right (which, by the way, is an excellent way of seeing the total cars and photos on the various sites, it&#8217;s always up-to-date).</p>
<p>I threw out the percentage increase for the Coventry Racers site when calculating that totals column, as it&#8217;s an anomaly, having just launched within this last month. The XJ6 site is similarly fresh, though from the activity on it I expect it awaits a fate similar to the relatively moribund XJS site.</p>
]]></content:encoded>
			<wfw:commentRss>http://xkedata.com/blog/2008/11/22/visitor-statistics-30-days-ending-november-20-2008/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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