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	<title>SEO study 搜尋引擎優化學習</title>
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	<description>SEO遊樂場:中文SEO的 實戰 / 測試 及 學習</description>
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		<title>SEO study 搜尋引擎優化學習</title>
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		<item>
		<title>Annotations for Google Analytics (Google 分析的註解功能)</title>
		<link>http://inatt.wordpress.com/2009/12/08/annotations-for-google-analytics/</link>
		<comments>http://inatt.wordpress.com/2009/12/08/annotations-for-google-analytics/#comments</comments>
		<pubDate>Tue, 08 Dec 2009 04:36:09 +0000</pubDate>
		<dc:creator>seoanalytics</dc:creator>
				<category><![CDATA[analytics]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[google]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[Web Stats]]></category>

		<guid isPermaLink="false">http://inatt.wordpress.com/?p=94</guid>
		<description><![CDATA[等左咁耐, Google Analytics 終於都有 Annotations 的功能了. 本來用 Firefox 的add-ons Greasemonkey + Script 都可以做到同樣的效果, 但始於都唔係&#8221;原裝&#8221;, 無可能去到邊都用得到, 所以無去用. 但係 Google 而家自己official 出返, 咁就方便好多了. 唔洗care 個browser 本身有冇 Greasemonkey 了. 其實這個功能相當的重要, 因為好多時你對網頁的任何改動, 都會影響 traffic 或 conversion rate 的. 但好多時影響唔係即時性, 要refer 返無係真正影響的原因都幾難. 但係有Annotations 就可以方便找回真正影響的原因. 不過如果佢的Annotations 可以import from Google Spreadsheet 就更好了, 咁係處理campaign 對網站的影響就可以更易反映. Annotations + Intelligence 互相配合的確好方便! Google Analytics Annotations: http://analytics.blogspot.com/2009/12/holiday-bonus-more-great-features.html [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inatt.wordpress.com&amp;blog=8323503&amp;post=94&amp;subd=inatt&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>等左咁耐, Google Analytics 終於都有 Annotations 的功能了. 本來用 Firefox 的add-ons Greasemonkey + Script 都可以做到同樣的效果, 但始於都唔係&#8221;原裝&#8221;, 無可能去到邊都用得到, 所以無去用.</p>
<p>但係 Google 而家自己official 出返, 咁就方便好多了. 唔洗care 個browser 本身有冇 Greasemonkey 了.<br />
其實這個功能相當的重要, 因為好多時你對網頁的任何改動, 都會影響 traffic 或 conversion rate 的. 但好多時影響唔係即時性, 要refer 返無係真正影響的原因都幾難. 但係有Annotations 就可以方便找回真正影響的原因.</p>
<p>不過如果佢的Annotations 可以import from Google Spreadsheet 就更好了, 咁係處理campaign 對網站的影響就可以更易反映. Annotations + Intelligence 互相配合的確好方便!</p>
<span style="text-align:center; display: block;"><a href="http://inatt.wordpress.com/2009/12/08/annotations-for-google-analytics/"><img src="http://img.youtube.com/vi/XfPx4Sus_CY/2.jpg" alt="" /></a></span>
<p>Google Analytics Annotations:<br />
<a href="http://analytics.blogspot.com/2009/12/holiday-bonus-more-great-features.html" target="_blank">http://analytics.blogspot.com/2009/12/holiday-bonus-more-great-features.html</a></p>
<p>Adding Business Data to Google Analytics Data: (with Greasemonkey)<br />
<a href="http://www.epikone.com/blog/2008/10/28/adding-business-data-to-google-analytics-data/" target="_blank">http://www.epikone.com/blog/2008/10/28/adding-business-data-to-google-analytics-data/</a></p>
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			<media:title type="html">seoanalytics</media:title>
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	</item>
		<item>
		<title>如何 &#8220;轉換&#8221; 你的網頁 &#8220;訪客&#8221; 為你的 &#8220;客人&#8221;</title>
		<link>http://inatt.wordpress.com/2009/09/02/%e5%a6%82%e4%bd%95-%e8%bd%89%e6%8f%9b-%e4%bd%a0%e7%9a%84%e7%b6%b2%e9%a0%81-%e8%a8%aa%e5%ae%a2-%e7%82%ba%e4%bd%a0%e7%9a%84-%e5%ae%a2%e4%ba%ba/</link>
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		<pubDate>Wed, 02 Sep 2009 12:33:37 +0000</pubDate>
		<dc:creator>seoanalytics</dc:creator>
				<category><![CDATA[Marketing]]></category>
		<category><![CDATA[思考]]></category>

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		<description><![CDATA[&#8220;轉換率&#8221; 係指以客觀的數據判斷行銷的成功率, 從以找出最好的行銷策略. 要提高轉換率, 你的網上行銷要做得好才可以. 但係點先算&#8221;好的網上行銷&#8221;呢? 就真係要study 過先知. 但係網上就有一個叫 &#8220;MEC Conversion Index&#8221; 的公式可以參考: C = 4M + 3V + 2(I-F) – 2A © 就咁睇看似係數學公式, 但其實完全同數學無關, 但它可以幫助你了解哪些因素會影響網頁轉換率的實際水平. 公式中數字係佢的比重, 而英文字就係比重所指的事. 好似 &#8220;4M&#8221; 係指買方的動機(buyer motivation), &#8220;3V&#8221; 係指買方對你所提出的事的認知(the strength of your value proposition). &#8220;2(I-F)&#8221; 指 獎勵減去阻力(friction and incentive elements), 而最後&#8221;2A&#8221; 指買家的焦慮(buyer anxiety). 好簡單地從公式中講下你的landing page 可以點做. 重點係你的offer 要夠吸引同埋要sell 會對你的product 有興趣的人. [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inatt.wordpress.com&amp;blog=8323503&amp;post=61&amp;subd=inatt&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>&#8220;轉換率&#8221; 係指以客觀的數據判斷行銷的成功率, 從以找出最好的行銷策略. 要提高轉換率, 你的網上行銷要做得好才可以. 但係點先算&#8221;好的網上行銷&#8221;呢? 就真係要study 過先知. 但係網上就有一個叫 &#8220;MEC Conversion Index&#8221; 的公式可以參考:</p>
<blockquote><p>C = 4M + 3V + 2(I-F) – 2A ©</p></blockquote>
<p>就咁睇看似係數學公式, 但其實完全同數學無關, 但它可以幫助你了解哪些因素會影響網頁轉換率的實際水平. 公式中數字係佢的比重, 而英文字就係比重所指的事.<br />
好似 &#8220;4M&#8221; 係指買方的動機(buyer motivation), &#8220;3V&#8221; 係指買方對你所提出的事的認知(the strength of your value proposition). &#8220;2(I-F)&#8221; 指 獎勵減去阻力(friction and incentive elements), 而最後&#8221;2A&#8221; 指買家的焦慮(buyer anxiety).<br />
好簡單地從公式中講下你的landing page 可以點做.</p>
<ol>
<li> 重點係你的offer 要夠吸引同埋要sell 會對你的product 有興趣的人.</li>
<li>你的offer 要多人知, 你sell的客人最好唔係第一次知有呢間公司或哩個offer</li>
<li>加上<span>額外的獎賞, </span>好似獎金或其他獎勵措施，如免費送貨</li>
<li><span>減低買家的困難, 如</span>多步驟的購買過程</li>
<li><span>減低買家會感到的</span>潛在危險</li>
</ol>
<p>當然, 講同做從來都係兩回事, 但係哩個formula點都會俾到我們一點啟發.</p>
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			<media:title type="html">seoanalytics</media:title>
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	</item>
		<item>
		<title>使用 html 的 alt tag 還是 title tag?</title>
		<link>http://inatt.wordpress.com/2009/08/25/%e4%bd%bf%e7%94%a8-html-%e7%9a%84-alt-tag-%e9%82%84%e6%98%af-title-tag/</link>
		<comments>http://inatt.wordpress.com/2009/08/25/%e4%bd%bf%e7%94%a8-html-%e7%9a%84-alt-tag-%e9%82%84%e6%98%af-title-tag/#comments</comments>
		<pubDate>Tue, 25 Aug 2009 14:11:38 +0000</pubDate>
		<dc:creator>seoanalytics</dc:creator>
				<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[google]]></category>
		<category><![CDATA[indexing]]></category>
		<category><![CDATA[seo]]></category>
		<category><![CDATA[思考]]></category>

		<guid isPermaLink="false">http://inatt.wordpress.com/?p=67</guid>
		<description><![CDATA[因為經常要處理大量圖片的網頁, 所以發現其實對img 的處理也得小心一點. 能對img 進行 optimization, 相信可以在 SERP(Search engine results page, 搜尋結果頁) 得到更好的排名. 其實處理img 最common 的問題係&#8230; img 上要用 alt tag 還是 title tag?  當然, 咁common 的study 之前一定有人做過. 到google 一search, 找到了一個比較實用的study. 好, 過程唔講, 自己去睇, 淨係睇result. Google 同 Yahoo! 的結果係唔同的, 你要討好那一邊, 就閣下自理了. 總括黎講, 要攪好 Google, 就要加 alt 而唔加 title. 因為加晒 alt 同 title 會被指為 over optimizated (過份優化), [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inatt.wordpress.com&amp;blog=8323503&amp;post=67&amp;subd=inatt&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<dl class="wp-caption alignright">
<dt class="wp-caption-dt"><img class="size-full wp-image-75" title="link-property" src="http://inatt.files.wordpress.com/2009/08/link-property.gif?w=600" alt="Alt and Title at Link Property"   /></dt>
</dl>
<p>因為經常要處理大量圖片的網頁, 所以發現其實對img 的處理也得小心一點. 能對img 進行 optimization, 相信可以在 SERP(Search engine results page, 搜尋結果頁) 得到更好的排名.<br />
其實處理img 最common 的問題係&#8230; img 上要用 alt tag 還是 title tag?  當然, 咁common 的study 之前一定有人做過. 到google 一search, 找到了一個比較實用的study.</p>
<p>好, 過程唔講, 自己去睇, 淨係睇result.</p>
<p>Google 同 Yahoo! 的結果係唔同的, 你要討好那一邊, 就閣下自理了. 總括黎講, 要攪好 Google, 就要加 alt 而唔加 title. 因為加晒 alt 同 title 會被指為 over optimizated (過份優化), 而被 google 認為你針對 SEO 去做.  要討好 Yahoo! 就 alt 同 title 都唔好加. 如果兩邊都想好的話, 都係選加 alt唔加 title.</p>
<p>當然, search 的result 每天都在變, 之前的study 亦無可能是永恆, 所以還是要不繼去改進吧.</p>
<p>延伸閱讀:<br />
<a href="http://www.seopittfall.com/measuring-the-value-of-alt-and-title-elements-of-image-tags">http://www.seopittfall.com/measuring-the-value-of-alt-and-title-elements-of-image-tags</a><br />
<a href="http://www.seopittfall.com/further-study-value-of-image-optimization">http://www.seopittfall.com/further-study-value-of-image-optimization</a></p>
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			<media:title type="html">seoanalytics</media:title>
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			<media:title type="html">link-property</media:title>
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		<title>Google Analytics Link 之標籤(Tagging)</title>
		<link>http://inatt.wordpress.com/2009/08/22/google-analytics-link-%e4%b9%8b%e6%a8%99%e7%b1%a4tagging/</link>
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		<pubDate>Sat, 22 Aug 2009 09:37:04 +0000</pubDate>
		<dc:creator>seoanalytics</dc:creator>
				<category><![CDATA[analytics]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[Web Stats]]></category>

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		<description><![CDATA[好多人使用Google Analytics 都只係為左要佢basic 的資料,  好似Visits, Pageviews, Traffic Sources 及 top content 等, 但係Google Analytics 可以做到的其實仲有好多, 另一個好basic 的功能就係 link tagging. Link Tagging 基本上係用Analytics 一 D basic 的parameter, 令Analytics 收集的數據更有意義.  就好似你要做一個 email campaign, 但係點先知邊d 人係email 入黎, 邊d 係正常的visits 呢? 又話者你做 A/B Testing, 你點先可以分別到由 A進入的人的conversion rate, 同B 進入的比較邊個高d呢?  其實只要好簡單咁用 link tagging 就可以做到. 但link tagging 要用得準確, 就唔係一件易事, 因為要明白自己的business要咩數據, 再apply [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inatt.wordpress.com&amp;blog=8323503&amp;post=62&amp;subd=inatt&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>好多人使用Google Analytics 都只係為左要佢basic 的資料,  好似Visits, Pageviews, Traffic Sources 及 top content 等, 但係Google Analytics 可以做到的其實仲有好多, 另一個好basic 的功能就係 link tagging. Link Tagging 基本上係用Analytics 一 D basic 的parameter, 令Analytics 收集的數據更有意義.  就好似你要做一個 email campaign, 但係點先知邊d 人係email 入黎, 邊d 係正常的visits 呢? 又話者你做 A/B Testing, 你點先可以分別到由 A進入的人的conversion rate, 同B 進入的比較邊個高d呢?  其實只要好簡單咁用 link tagging 就可以做到.</p>
<p>但link tagging 要用得準確, 就唔係一件易事, 因為要明白自己的business要咩數據, 再apply 到link tagging 上. 當然, 如果你唔係有特別要求, 其實都可以好簡單, 以下就係一d 比較common 的用法.</p>
<table style="border:1px solid #313148;" border="0" cellspacing="0" cellpadding="3" width="100%">
<tbody>
<tr style="background:#514f8e none repeat scroll 0 0;color:#ffffff;font-weight:bold;">
<td></td>
<td>Banner Ad</td>
<td>Email Newsletter</td>
<td>CPC</td>
</tr>
<tr style="background:#ededd8 none repeat scroll 0 0;">
<td style="font-weight:bold;"><acronym title="The origin of each referral to your site.">Source</acronym></td>
<td>foodtv</td>
<td>newsletter0601</td>
<td>ysm</td>
</tr>
<tr style="background:#fcfcf8 none repeat scroll 0 0;">
<td style="font-weight:bold;"><acronym title="The referral medium, which can be direct, cpc, email, etc.">Medium</acronym></td>
<td>banner</td>
<td>email</td>
<td>cpc</td>
</tr>
<tr style="background:#ededd8 none repeat scroll 0 0;">
<td style="font-weight:bold;"><acronym title="Identifies various product promotions or CPC campaigns.">Campaign</acronym></td>
<td>Restaurant</td>
<td>ThaiBitesNews</td>
<td>Restaurant</td>
</tr>
<tr style="background:#fcfcf8 none repeat scroll 0 0;">
<td style="font-weight:bold;"><acronym title="Stores any search term that a visitor typed into their search query.">Term</acronym></td>
<td></td>
<td></td>
<td>thai+restaurant</td>
</tr>
<tr style="background:#ededd8 none repeat scroll 0 0;">
<td style="font-weight:bold;"><acronym title="Allows you to run A/B ad split tests to increase qualified clickpaths.">Content</acronym></td>
<td>foodtv_120x240</td>
<td>newsletter0601a</td>
<td>thai_a</td>
</tr>
</tbody>
</table>
<p>另外要build link 的話, 可以用返 Google Analytics provide 的 URL Builder:<br />
<a href="http://www.google.com/support/googleanalytics/bin/answer.py?hl=en&amp;answer=55578" target="_blank">Google Analytics URL Builder</a></p>
<p>延伸閱讀:<br />
<a href="http://www.roirevolution.com/blog/2006/01/google_analytics_link_tagging_101.html" target="_blank">Google Analytics Link Tagging 101</a><br />
<a href="http://www.epikone.com/blog/2006/11/10/google-analytics-campaign-tracking-pt-1-link-tagging/" target="_blank">Google Analytics Campaign Tracking Pt. 1: Link Tagging</a></p>
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			<media:title type="html">seoanalytics</media:title>
		</media:content>
	</item>
		<item>
		<title>RE: GA 不加上 source 會如何處理</title>
		<link>http://inatt.wordpress.com/2009/08/18/re-ga-%e4%b8%8d%e5%8a%a0%e4%b8%8a-source-%e6%9c%83%e5%a6%82%e4%bd%95%e8%99%95%e7%90%86/</link>
		<comments>http://inatt.wordpress.com/2009/08/18/re-ga-%e4%b8%8d%e5%8a%a0%e4%b8%8a-source-%e6%9c%83%e5%a6%82%e4%bd%95%e8%99%95%e7%90%86/#comments</comments>
		<pubDate>Tue, 18 Aug 2009 04:21:56 +0000</pubDate>
		<dc:creator>seoanalytics</dc:creator>
				<category><![CDATA[CMS]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[OpenX]]></category>

		<guid isPermaLink="false">http://inatt.wordpress.com/?p=53</guid>
		<description><![CDATA[Reply to : http://inatt.wordpress.com/2009/08/07/ga-%E4%B8%8D%E5%8A%A0%E4%B8%8A-source-%E6%9C%83%E5%A6%82%E4%BD%95%E8%99%95%E7%90%86/ 發現如 GA code 不加上 source 是不會自動加上的.  而整個data 也只會當 referral 計算.  佢咁做都唔知叫好事定係壞事. 但係加 GA code 是就要小心, 如果唔係加小左utm 攪到成個 campaign 的performance 計算都錯晒.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inatt.wordpress.com&amp;blog=8323503&amp;post=53&amp;subd=inatt&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Reply to :<br />
<a href="http://inatt.wordpress.com/2009/08/07/ga-%E4%B8%8D%E5%8A%A0%E4%B8%8A-source-%E6%9C%83%E5%A6%82%E4%BD%95%E8%99%95%E7%90%86/">http://inatt.wordpress.com/2009/08/07/ga-%E4%B8%8D%E5%8A%A0%E4%B8%8A-source-%E6%9C%83%E5%A6%82%E4%BD%95%E8%99%95%E7%90%86/</a></p>
<p>發現如 GA code 不加上 source 是不會自動加上的.  而整個data 也只會當 referral 計算.  佢咁做都唔知叫好事定係壞事. 但係加 GA code 是就要小心, 如果唔係加小左utm 攪到成個 campaign 的performance 計算都錯晒.</p>
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		<slash:comments>0</slash:comments>
	
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			<media:title type="html">seoanalytics</media:title>
		</media:content>
	</item>
		<item>
		<title>SEM 與 Email Marketing</title>
		<link>http://inatt.wordpress.com/2009/08/17/sem-%e8%88%87-email-marketing/</link>
		<comments>http://inatt.wordpress.com/2009/08/17/sem-%e8%88%87-email-marketing/#comments</comments>
		<pubDate>Mon, 17 Aug 2009 04:03:08 +0000</pubDate>
		<dc:creator>seoanalytics</dc:creator>
				<category><![CDATA[Marketing]]></category>
		<category><![CDATA[思考]]></category>

		<guid isPermaLink="false">http://inatt.wordpress.com/?p=50</guid>
		<description><![CDATA[因為最近在研究如何增加&#8221;生客&#8221;, 但又不想隨便就找一些email 去send, 所以先考慮一下如何找到 target customers. 講返轉頭, SEM(Search Engine Marketing/搜尋引擎行銷) 一向講的係可以經search engine而找到你的target customers, 咁如果我可以經email找到target customers 又點呢? 始終 email marketing(電子郵件行銷) 係比較主動的方法, 因為如果客人唔主動去search, 或唔識去search, SEM 根本發揮唔到. 而且 email marketing 可以令一d 本來無intension 去購買的人知道offer 而令佢去購買, 這是 SEM 未能做到的. 所以下一個測試我想試下另一類的 &#8220;SEM&#8221; 的成效有幾高. Email Marketing vs Search Engine Marketing: Email Marketing 比 SEM 主動 傳統上 SEM 的 conversion rate 比 email [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inatt.wordpress.com&amp;blog=8323503&amp;post=50&amp;subd=inatt&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>因為最近在研究如何增加&#8221;生客&#8221;, 但又不想隨便就找一些email 去send, 所以先考慮一下如何找到 target customers.</p>
<p>講返轉頭, SEM(Search Engine Marketing/搜尋引擎行銷) 一向講的係可以經search engine而找到你的target customers, 咁如果我可以經email找到target customers 又點呢? 始終 email marketing(電子郵件行銷) 係比較主動的方法, 因為如果客人唔主動去search, 或唔識去search, SEM 根本發揮唔到.</p>
<p>而且 email marketing 可以令一d 本來無intension 去購買的人知道offer 而令佢去購買, 這是 SEM 未能做到的. 所以下一個測試我想試下另一類的 &#8220;SEM&#8221; 的成效有幾高.</p>
<ul>
<li>Email Marketing vs Search Engine Marketing:</li>
<li>Email Marketing 比 SEM 主動</li>
<li>傳統上 SEM 的 conversion rate 比 email marketing 高</li>
<li>以 paid search market 可以得到較快的response 及 campaign 的效果</li>
</ul>
<p>延伸閱讀:</p>
<p><a href="http://www.insidecrm.com/features/maximizing-search-email-marketing-060109/" target="_blank">http://www.insidecrm.com/features/maximizing-search-email-marketing-060109/</a><br />
<a href="http://izanweb.blogspot.com/2009/06/free-email-crawler-download-droid-email.html">http://izanweb.blogspot.com/2009/06/free-email-crawler-download-droid-email.html</a></p>
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			<media:title type="html">seoanalytics</media:title>
		</media:content>
	</item>
		<item>
		<title>中文關鍵字的密度(Keyword Density)</title>
		<link>http://inatt.wordpress.com/2009/08/10/chinese-keyword-density/</link>
		<comments>http://inatt.wordpress.com/2009/08/10/chinese-keyword-density/#comments</comments>
		<pubDate>Mon, 10 Aug 2009 03:53:36 +0000</pubDate>
		<dc:creator>seoanalytics</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[google]]></category>

		<guid isPermaLink="false">http://inatt.wordpress.com/?p=42</guid>
		<description><![CDATA[好多人都知道關鍵字的密度對 Google 的排名有一定的影響, 而好多人都知道關鍵字的密度最好係2% &#8211; 8%, 但係中文字又要點計算呢? 就好似 &#8220;關鍵字密度&#8221;, 如果我找 &#8220;關鍵字&#8221;又叫中唔中呢? 如果 Google 係識得分詞(words)/ 片語(phrase)的話, 佢又點根據咩黎分別呢? 咁如果我個page 有 &#8220;關鍵字密度&#8221;, 咁我search &#8220;關&#8221;, &#8220;鍵&#8221;, &#8220;關鍵&#8221;, &#8220;關鍵字&#8221;, &#8220;密度&#8221; 有會點處理呢? 每個字的密度又點計呢? 呢個問題真係要慢慢研究一下.  不過而家關鍵字密度的比重相對降低, 所以唔洗太深迷於關鍵字的玩意. 但關鍵字搜索始終都係基本功, 研究下又有何不好呢? 順帶有一d 中文關鍵字的工具俾大家, 英文的keyword density就自己係Google 找吧. http://tool.chinaz.com/Tools/Density.aspx http://ser.tw/c_keyword_density.php PS: 你係唔係覺得我講左好多次&#8221;關鍵字密度&#8221;呢個字呢&#8230; 哈哈.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inatt.wordpress.com&amp;blog=8323503&amp;post=42&amp;subd=inatt&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>好多人都知道關鍵字的密度對 Google 的排名有一定的影響, 而好多人都知道關鍵字的密度最好係2% &#8211; 8%, 但係中文字又要點計算呢?</p>
<p>就好似 &#8220;關鍵字密度&#8221;, 如果我找 &#8220;關鍵字&#8221;又叫中唔中呢? 如果 Google 係識得分詞(words)/ 片語(phrase)的話, 佢又點根據咩黎分別呢? 咁如果我個page 有 &#8220;關鍵字密度&#8221;, 咁我search &#8220;關&#8221;, &#8220;鍵&#8221;, &#8220;關鍵&#8221;, &#8220;關鍵字&#8221;, &#8220;密度&#8221; 有會點處理呢? 每個字的密度又點計呢? 呢個問題真係要慢慢研究一下.  不過而家關鍵字密度的比重相對降低, 所以唔洗太深迷於關鍵字的玩意. 但關鍵字搜索始終都係基本功, 研究下又有何不好呢?</p>
<p>順帶有一d 中文關鍵字的工具俾大家, 英文的keyword density就自己係Google 找吧.</p>
<p><a href="http://tool.chinaz.com/Tools/Density.aspx">http://tool.chinaz.com/Tools/Density.aspx</a><br />
<a href="http://ser.tw/c_keyword_density.php">http://ser.tw/c_keyword_density.php</a></p>
<p>PS: 你係唔係覺得我講左好多次&#8221;關鍵字密度&#8221;呢個字呢&#8230; 哈哈.</p>
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			<media:title type="html">seoanalytics</media:title>
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		<title>Google Analytics Data Feed Query Explorer</title>
		<link>http://inatt.wordpress.com/2009/08/08/google-analytics-data-feed-query-explorer/</link>
		<comments>http://inatt.wordpress.com/2009/08/08/google-analytics-data-feed-query-explorer/#comments</comments>
		<pubDate>Sat, 08 Aug 2009 12:01:32 +0000</pubDate>
		<dc:creator>seoanalytics</dc:creator>
				<category><![CDATA[analytics]]></category>
		<category><![CDATA[Google Analytics]]></category>

		<guid isPermaLink="false">http://inatt.wordpress.com/?p=37</guid>
		<description><![CDATA[最近經常使用 Google Analytics 的 Data Feed Query Explorer, 為的不是要用它的API去 build query statement, 而是用佢黎找我真正想要的data. 就好似我比較常用, 係因為佢可以sum up 所有 folder + sub-folder 的result, 再係result 上加上 apply &#8220;Dimension&#8221;. 因為平時用web 版就一定要入一個page, 先再會有 &#8220;Dimension&#8221; 選的. 其實 Data Feed Query Explorer 仲可以用regular expressions 黎sort out 某一個 path/ keywords, 所以其靈活性絕對比 web 版好.  而且有需要的話, 仲可以用佢build 出黎的query 放係自己的page 方便用. http://code.google.com/apis/analytics/docs/gdata/gdataExplorer.html<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inatt.wordpress.com&amp;blog=8323503&amp;post=37&amp;subd=inatt&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>最近經常使用 Google Analytics 的 Data Feed Query Explorer, 為的不是要用它的API去 build query statement, 而是用佢黎找我真正想要的data.</p>
<div id="attachment_40" class="wp-caption alignright" style="width: 301px"><img class="size-full wp-image-40" title="regex_dimension" src="http://inatt.files.wordpress.com/2009/08/regex_dimension1.gif?w=600" alt="Regular Expression + Dimension"   /><p class="wp-caption-text">Regular Expression + Dimension</p></div>
<p>就好似我比較常用, 係因為佢可以sum up 所有 folder + sub-folder 的result, 再係result 上加上 apply &#8220;Dimension&#8221;. 因為平時用web 版就一定要入一個page, 先再會有 &#8220;Dimension&#8221; 選的.</p>
<p>其實 Data Feed Query Explorer 仲可以用regular expressions 黎sort out 某一個 path/ keywords, 所以其<span>靈活性絕對比 web 版好.  而且有需要的話, 仲可以用佢build 出黎的query 放係自己的page 方便用.</span></p>
<p><a href="http://code.google.com/apis/analytics/docs/gdata/gdataExplorer.html">http://code.google.com/apis/analytics/docs/gdata/gdataExplorer.html</a></p>
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		<title>為何 Google Analytics 不能反映用戶的實際行為</title>
		<link>http://inatt.wordpress.com/2009/08/07/when-google-analytics-become-wrong/</link>
		<comments>http://inatt.wordpress.com/2009/08/07/when-google-analytics-become-wrong/#comments</comments>
		<pubDate>Fri, 07 Aug 2009 12:34:10 +0000</pubDate>
		<dc:creator>seoanalytics</dc:creator>
				<category><![CDATA[analytics]]></category>
		<category><![CDATA[google]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[Web Stats]]></category>
		<category><![CDATA[思考]]></category>

		<guid isPermaLink="false">http://inatt.wordpress.com/?p=28</guid>
		<description><![CDATA[最近開左一個study topic, 係用一些極具人氣的網站, 用一些極具人氣的話題指向我的網站. 咁當然我的網站亦有想對的內容, 但係質素就&#8230; 不過, 重點就不在於此. 但當我參考Google Analytics 的報告時, 就發現一件奇怪的事.  因為在我開始這測試時, 我所有連結都是連到某一個directory / sub-directory 的. 但當我用Analytics sort out 那directory 的時候, 竟然發現 &#8220;Direct Traffic&#8221; 也有想當大的增長!  而我再用 source = direct 的view 睇時, 也發現大部分的 landing page 就是我所指的 directory. 咁而家的問題就係, 點解明明全部都係用 referral 的 campaign, 有部份的data 會變為 direct 呢? 我曾經想過會唔會係因為某d user 睇過再返黎, 但係呢個assumption是否定的. 因為我的URL 係一個32位的key, user 除左copy and [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inatt.wordpress.com&amp;blog=8323503&amp;post=28&amp;subd=inatt&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>最近開左一個study topic, 係用一些<strong>極</strong>具人氣的網站, 用一些<strong>極</strong>具人氣的話題指向我的網站. 咁當然我的網站亦有想對的內容, 但係質素就&#8230; 不過, 重點就不在於此.</p>
<p>但當我參考Google Analytics 的報告時, 就發現一件奇怪的事.  因為在我開始這測試時, 我所有連結都是連到某一個directory / sub-directory 的. 但當我用Analytics sort out 那directory 的時候, 竟然發現 &#8220;Direct Traffic&#8221; 也有想當大的增長!  而我再用 source = direct 的view 睇時, 也發現大部分的 landing page 就是我所指的 directory.<img class="alignright size-full wp-image-29" title="Notable Source" src="http://inatt.files.wordpress.com/2009/08/source.gif?w=600" alt="Notable Source"   /></p>
<p>咁而家的問題就係, 點解明明全部都係用 referral 的 campaign, 有部份的data 會變為 direct 呢? 我曾經想過會唔會係因為某d user 睇過再返黎, 但係呢個assumption是否定的. 因為我的URL 係一個32位的key, user 除左copy and paste, 根本係無可能用手&#8221;直接&#8221;咁入的.</p>
<p>到現在為止, 我還未想到真正原因.  但最大的可能係, 用戶forward 這個連結時並無同時用 a tag, 所以用戶根本不可能直接&#8221;按&#8221;連結到我的網站. 他們也只能 copy and paste 連結到browser. 結果明明係 referral 的 campaign, 卻變為direct source 了.</p>
<p>總結: Analytics 的報告並不能全面反映user experience, 不是Analytics的錯, 而是因為網頁的結構, 令用戶的習慣/行為改變了,  結果report 的資料都變得不能反映現實了.</p>
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			<media:title type="html">Notable Source</media:title>
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		<title>GA 不加上 source 會如何處理</title>
		<link>http://inatt.wordpress.com/2009/08/07/ga-%e4%b8%8d%e5%8a%a0%e4%b8%8a-source-%e6%9c%83%e5%a6%82%e4%bd%95%e8%99%95%e7%90%86/</link>
		<comments>http://inatt.wordpress.com/2009/08/07/ga-%e4%b8%8d%e5%8a%a0%e4%b8%8a-source-%e6%9c%83%e5%a6%82%e4%bd%95%e8%99%95%e7%90%86/#comments</comments>
		<pubDate>Fri, 07 Aug 2009 07:45:40 +0000</pubDate>
		<dc:creator>seoanalytics</dc:creator>
				<category><![CDATA[CMS]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[OpenX]]></category>

		<guid isPermaLink="false">http://inatt.wordpress.com/?p=46</guid>
		<description><![CDATA[問題: 由於用上 OpenX 為廣告的管理工具, 所以基本上不同domain 的廣告都係用上同一個domain出的. 但係咁問題就黎啦, 因為現在我想track 某一個web的其中一個廣告 CTR, 但係同一頁內我有真的web link, 也有 ads, 咁我點先知user 係click 邊一個位的呢? 而 OpenX 唔加 utm 的話就只會當為refereral. 所以今次測試係試下 utm source 唔用加value, 試下佢會唔會自己get referrer 的domina 黎做source, 定係會直頭唔記錄. Result 過兩日就知.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inatt.wordpress.com&amp;blog=8323503&amp;post=46&amp;subd=inatt&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>問題: 由於用上 OpenX 為廣告的管理工具, 所以基本上不同domain 的廣告都係用上同一個domain出的.<br />
但係咁問題就黎啦, 因為現在我想track 某一個web的其中一個廣告 CTR, 但係同一頁內我有真的web link, 也有 ads, 咁我點先知user 係click 邊一個位的呢? 而 OpenX 唔加 utm 的話就只會當為refereral.</p>
<p>所以今次測試係試下 utm source 唔用加value, 試下佢會唔會自己get referrer 的domina 黎做source, 定係會直頭唔記錄.</p>
<p>Result 過兩日就知.</p>
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