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	<title>Comments on: Excellent Analytics Tip #12: Unsuspected Correlations Are Sweet!</title>
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	<description>Pluralitas non est ponenda sine neccesitate.</description>
	<pubDate>Thu, 20 Nov 2008 00:16:10 +0000</pubDate>
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		<title>By: Online Marketing and Web Analytics Insights from a Newbie &#187; Blog Archive &#187; Web Analytics Degree? UBC Award of Achievement in Web Analytics</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-464641</link>
		<dc:creator>Online Marketing and Web Analytics Insights from a Newbie &#187; Blog Archive &#187; Web Analytics Degree? UBC Award of Achievement in Web Analytics</dc:creator>
		<pubDate>Thu, 26 Jun 2008 13:18:42 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-464641</guid>
		<description>[...] I discovered what web analytics represent to a website just 4 months ago.  I saw the book “web analytics on hour a day” from Avisnash Kaushik in a library and the “About the Author” page mentioned his very popular blog on web analytics. I had no idea who was Avisnash and I was also really unaware of Web Analytics. I went to the blog and the article Excellent Analytics Tip #12: Unsuspected Correlations Are Sweet! was just written. I do not know if you read that post already, but all I know is the impact it actually had on me (nothing emotional - don’t worry :-) ). I was so blown away by all the post itself and the correlation you have between metrics. It was just… huge! [...]</description>
		<content:encoded><![CDATA[<p>[...] I discovered what web analytics represent to a website just 4 months ago.  I saw the book “web analytics on hour a day” from Avisnash Kaushik in a library and the “About the Author” page mentioned his very popular blog on web analytics. I had no idea who was Avisnash and I was also really unaware of Web Analytics. I went to the blog and the article Excellent Analytics Tip #12: Unsuspected Correlations Are Sweet! was just written. I do not know if you read that post already, but all I know is the impact it actually had on me (nothing emotional - don’t worry :-) ). I was so blown away by all the post itself and the correlation you have between metrics. It was just… huge! [...]</p>
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		<title>By: Excellent Analytics Tip #12: Unsuspected... [ Avinash Kaushik ]</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-462253</link>
		<dc:creator>Excellent Analytics Tip #12: Unsuspected... [ Avinash Kaushik ]</dc:creator>
		<pubDate>Sat, 07 Jun 2008 21:43:26 +0000</pubDate>
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		<description>[...] 
Excellent Analytics Tip #12: Unsuspected Correlations Are Sweet!
February 19th 2008 8:31am
[ok] From: www.kaushik.net
[...]</description>
		<content:encoded><![CDATA[<p>[...]<br />
Excellent Analytics Tip #12: Unsuspected Correlations Are Sweet!<br />
February 19th 2008 8:31am<br />
[ok] From: <a href="http://www.kaushik.net" rel="nofollow">http://www.kaushik.net</a><br />
[...]</p>
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		<title>By: Avinash Kaushik</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-460453</link>
		<dc:creator>Avinash Kaushik</dc:creator>
		<pubDate>Mon, 02 Jun 2008 05:55:44 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-460453</guid>
		<description>&lt;font color=blue&gt;&lt;b&gt;Castle:&lt;/b&gt;&lt;/font&gt; My book is not about Google Analytics. 

Web Analytics: An Hour A Day was released 10 months ago and is a book that is about the business and technology and strategy of web analytics. It takes a fresh and deep look at what it means to be successful at web analytics, independent of what tool you might be using and what company you might be working at. Please check out the description at amazon for more: www.snipurl.com/wahour

If you want a Google Analytics then might I recommend these two excellent books:

Google Analytics Shortcuts by Justin Cutroni
http://www.oreilly.com/catalog/9780596514969/

Advanced Web Metrics with Google Analytics by Brian Clifton
http://tinyurl.com/4cd6p8

I know both of these guys and they are very very good at what they do (so buy their books right away and you won't regret it!). 

Hope this helps.

-Avinash.</description>
		<content:encoded><![CDATA[<p><font color=blue><b>Castle:</b></font> My book is not about Google Analytics. </p>
<p>Web Analytics: An Hour A Day was released 10 months ago and is a book that is about the business and technology and strategy of web analytics. It takes a fresh and deep look at what it means to be successful at web analytics, independent of what tool you might be using and what company you might be working at. Please check out the description at amazon for more: <a href="http://www.snipurl.com/wahour" rel="nofollow">http://www.snipurl.com/wahour</a></p>
<p>If you want a Google Analytics then might I recommend these two excellent books:</p>
<p>Google Analytics Shortcuts by Justin Cutroni<br />
<a href="http://www.oreilly.com/catalog/9780596514969/" rel="nofollow">http://www.oreilly.com/catalog/9780596514969/</a></p>
<p>Advanced Web Metrics with Google Analytics by Brian Clifton<br />
<a href="http://tinyurl.com/4cd6p8" rel="nofollow">http://tinyurl.com/4cd6p8</a></p>
<p>I know both of these guys and they are very very good at what they do (so buy their books right away and you won&#8217;t regret it!). </p>
<p>Hope this helps.</p>
<p>-Avinash.</p>
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		<title>By: Castle Baths</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-460008</link>
		<dc:creator>Castle Baths</dc:creator>
		<pubDate>Fri, 30 May 2008 12:43:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-460008</guid>
		<description>I'm interested in learning more about your book- I noticed your blogs started in 2006- is the book up to date with all of the new Google stuff brought out this year(2008)? If so- I'm ready to order to help my online bath body company soar! you seem to really understand this stuff incredibly clear:-)</description>
		<content:encoded><![CDATA[<p>I&#8217;m interested in learning more about your book- I noticed your blogs started in 2006- is the book up to date with all of the new Google stuff brought out this year(2008)? If so- I&#8217;m ready to order to help my online bath body company soar! you seem to really understand this stuff incredibly clear:-)</p>
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		<title>By: Woopra &#187; Blog Archive &#187; Web Analytics Book Reviews</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-454187</link>
		<dc:creator>Woopra &#187; Blog Archive &#187; Web Analytics Book Reviews</dc:creator>
		<pubDate>Sat, 26 Apr 2008 21:39:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-454187</guid>
		<description>[...] Excellent Analytics Tip #12: Unsuspected Correlations Are Sweet! [...]</description>
		<content:encoded><![CDATA[<p>[...] Excellent Analytics Tip #12: Unsuspected Correlations Are Sweet! [...]</p>
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		<title>By: Industry Benchmarking - New Google Analytics Breakthrough! &#124; Ophir Cohen - Web Marketing Done Right.</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-429592</link>
		<dc:creator>Industry Benchmarking - New Google Analytics Breakthrough! &#124; Ophir Cohen - Web Marketing Done Right.</dc:creator>
		<pubDate>Wed, 05 Mar 2008 17:45:22 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-429592</guid>
		<description>[...] Avinash Kaushik, one of my favorite bloggers and Web Analytic Guru, who also happens to consult Google with regards to Web Analytics, wrote a post a few weeks ago analyzing the correlations between radio ads and web site traffic, with deep insights into web site traffic, branded vs. general searches and direct visits. It now makes even much more sense. Google will now enable advertisers who run audio ads, to analyze their effect on their web site, with integrated data from the Google Audio Ads panel and get insights from the cross-channel advertising not only on the online but also offline. [...]</description>
		<content:encoded><![CDATA[<p>[...] Avinash Kaushik, one of my favorite bloggers and Web Analytic Guru, who also happens to consult Google with regards to Web Analytics, wrote a post a few weeks ago analyzing the correlations between radio ads and web site traffic, with deep insights into web site traffic, branded vs. general searches and direct visits. It now makes even much more sense. Google will now enable advertisers who run audio ads, to analyze their effect on their web site, with integrated data from the Google Audio Ads panel and get insights from the cross-channel advertising not only on the online but also offline. [...]</p>
]]></content:encoded>
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		<title>By: niel</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-425097</link>
		<dc:creator>niel</dc:creator>
		<pubDate>Wed, 27 Feb 2008 19:16:54 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-425097</guid>
		<description>Hi, Great information. From this site i got the information of on-line marketing and this is really helpful for us to increase our website traffic.</description>
		<content:encoded><![CDATA[<p>Hi, Great information. From this site i got the information of on-line marketing and this is really helpful for us to increase our website traffic.</p>
]]></content:encoded>
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		<title>By: Avinash Kaushik</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-425050</link>
		<dc:creator>Avinash Kaushik</dc:creator>
		<pubDate>Wed, 27 Feb 2008 17:56:59 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-425050</guid>
		<description>&lt;b&gt;&lt;font color=blue&gt;Alice :&lt;/b&gt;&lt;/font&gt; Second question first - the geo graphs are from good old Google Analytics (the "chicken pox" reports). Most web analytics have the ability to make nice Geo reports. I am unaware of a dedicated software (but that is just a gap in my knowledge).

For the first question I am going to cheat. Rick just asked a question via email about Geo data and its accuracy (especially that Virgina often shows up high). 

Here is my reply and I think it answers your question:
&lt;blockquote&gt;
Rick,

You are right, you'll see Virgina high because of AOL and often Georgia (Atlanta) high because of Earthlink.

Two things are changing the impact of those problems.

Both AOL and Earthlink are a lot less used and powerful than they used to be, hence the problem is reduced now. But if your customer demographic skews AOL/Earthlink then of course the impact will still be there.

Most web analytics tools are now using more sophisticated ip/geo location to identify the right visitor source. Recently I read some where that it is now 80% accurate (which is very high I think).

Besides if you compare the trends then you can still see impact from other cities.
&lt;/blockquote&gt;
Hope this helps.

-Avinash.</description>
		<content:encoded><![CDATA[<p><b><font color=blue>Alice :</font></b> Second question first - the geo graphs are from good old Google Analytics (the &#8220;chicken pox&#8221; reports). Most web analytics have the ability to make nice Geo reports. I am unaware of a dedicated software (but that is just a gap in my knowledge).</p>
<p>For the first question I am going to cheat. Rick just asked a question via email about Geo data and its accuracy (especially that Virgina often shows up high). </p>
<p>Here is my reply and I think it answers your question:</p>
<blockquote><p>
Rick,</p>
<p>You are right, you&#8217;ll see Virgina high because of AOL and often Georgia (Atlanta) high because of Earthlink.</p>
<p>Two things are changing the impact of those problems.</p>
<p>Both AOL and Earthlink are a lot less used and powerful than they used to be, hence the problem is reduced now. But if your customer demographic skews AOL/Earthlink then of course the impact will still be there.</p>
<p>Most web analytics tools are now using more sophisticated ip/geo location to identify the right visitor source. Recently I read some where that it is now 80% accurate (which is very high I think).</p>
<p>Besides if you compare the trends then you can still see impact from other cities.
</p></blockquote>
<p>Hope this helps.</p>
<p>-Avinash.</p>
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		<title>By: Alice Cooper Stalker</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-425046</link>
		<dc:creator>Alice Cooper Stalker</dc:creator>
		<pubDate>Wed, 27 Feb 2008 17:49:23 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-425046</guid>
		<description>Avinash,

Great post.  I have a question.  How/where did you get the baseline numbers to make the 1st Geomap chart from?  Was there an existing campaign going on that they captured these from or did the numbers come from elsewhere like a visitor geography report showing existing traffic levels from these locations?

How much faith can you put into visitor geography reports?  It seems like some of the data shows the location of internet service providers used by users instead of users themselves.  This can be misleading.

Do you have any suggestions for creating Geocharts in terms of software?</description>
		<content:encoded><![CDATA[<p>Avinash,</p>
<p>Great post.  I have a question.  How/where did you get the baseline numbers to make the 1st Geomap chart from?  Was there an existing campaign going on that they captured these from or did the numbers come from elsewhere like a visitor geography report showing existing traffic levels from these locations?</p>
<p>How much faith can you put into visitor geography reports?  It seems like some of the data shows the location of internet service providers used by users instead of users themselves.  This can be misleading.</p>
<p>Do you have any suggestions for creating Geocharts in terms of software?</p>
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		<title>By: Avinash Kaushik</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-425038</link>
		<dc:creator>Avinash Kaushik</dc:creator>
		<pubDate>Wed, 27 Feb 2008 17:22:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-425038</guid>
		<description>&lt;b&gt;&lt;font color=blue&gt;Winn :&lt;/font&gt;&lt;/b&gt; First off tell you client that I love her/him for reading the blog, and more importantly for wanting to take action!! :)

The graph is in good old excel so really not a big deal.

Perhaps you are struggling with how to get the data for "leads, campaigns, and tactics".

Three things can be awesome: 

1) It is just a matter of ensuring that you are tagging all the sources that you want to track. So make sure that your affiliate or banner or paid search or email or other campaigns have url's pointing to your site that are encoded with the right tracking.

This post on the Google Analytics Blog shows one example of how to semi automate campaign tagging with the URL Builder:

&lt;ul&gt; * &lt;a href="http://analytics.blogspot.com/2008/02/where-did-my-paid-search-traffic-go.html" rel="nofollow"&gt;Where Did My Paid Search Traffic Go?&lt;/a&gt;&lt;/UL&gt;
&lt;br&gt;&lt;p&gt;
2) Make sure your pages are tagged properly with the web analytics code. You will need this, for example, to get a accurate count of leads / goals / conversions.

3) Good old segmentation! What your client is asking you to do is essentially segment the traffic and outcomes and layer that on the graph (which is exactly what I have done in the graphs in the post). Use the segmentation capabilities of your tool to pull out the data for segments you are interested in.

Hope this helps a bit, good luck!

-Avinash.</description>
		<content:encoded><![CDATA[<p><b><font color=blue>Winn :</font></b> First off tell you client that I love her/him for reading the blog, and more importantly for wanting to take action!! :)</p>
<p>The graph is in good old excel so really not a big deal.</p>
<p>Perhaps you are struggling with how to get the data for &#8220;leads, campaigns, and tactics&#8221;.</p>
<p>Three things can be awesome: </p>
<p>1) It is just a matter of ensuring that you are tagging all the sources that you want to track. So make sure that your affiliate or banner or paid search or email or other campaigns have url&#8217;s pointing to your site that are encoded with the right tracking.</p>
<p>This post on the Google Analytics Blog shows one example of how to semi automate campaign tagging with the URL Builder:</p>
<ul> * <a href="http://analytics.blogspot.com/2008/02/where-did-my-paid-search-traffic-go.html" rel="nofollow">Where Did My Paid Search Traffic Go?</a></ul>
<p>
<p>
2) Make sure your pages are tagged properly with the web analytics code. You will need this, for example, to get a accurate count of leads / goals / conversions.</p>
<p>3) Good old segmentation! What your client is asking you to do is essentially segment the traffic and outcomes and layer that on the graph (which is exactly what I have done in the graphs in the post). Use the segmentation capabilities of your tool to pull out the data for segments you are interested in.</p>
<p>Hope this helps a bit, good luck!</p>
<p>-Avinash.</p>
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		<title>By: Winn</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-424982</link>
		<dc:creator>Winn</dc:creator>
		<pubDate>Wed, 27 Feb 2008 15:35:44 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-424982</guid>
		<description>A client read this blog and now wants a report similar to the graph above, but instead have "leads, campaigns, and tactics" instead of "direct visits, visits to extz.com, brand search". 
How do I track what my client wants and provide a report on that. I'm scratching my head on this issue.

thanks for your blogs.</description>
		<content:encoded><![CDATA[<p>A client read this blog and now wants a report similar to the graph above, but instead have &#8220;leads, campaigns, and tactics&#8221; instead of &#8220;direct visits, visits to extz.com, brand search&#8221;.<br />
How do I track what my client wants and provide a report on that. I&#8217;m scratching my head on this issue.</p>
<p>thanks for your blogs.</p>
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		<title>By: Sly Sexy 69</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-423781</link>
		<dc:creator>Sly Sexy 69</dc:creator>
		<pubDate>Tue, 26 Feb 2008 02:39:16 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-423781</guid>
		<description>Avinash,

Another great post. What so amazing to me is that media today is bought and measured in silos while from the consumer's point of view there is no difference. And in this case, offline drove traffic online.

I can envision some web team giving each other high-5's for a successful online campaign oblivious to the fact that their traditional media counterparts just spent 10x budget which drove more people to the site.

I also would think TV, PR and Event Marketing would have the same effect to a website.

Anyways great post. You sure are lucky to work with smart guys like Nick

-SS69</description>
		<content:encoded><![CDATA[<p>Avinash,</p>
<p>Another great post. What so amazing to me is that media today is bought and measured in silos while from the consumer&#8217;s point of view there is no difference. And in this case, offline drove traffic online.</p>
<p>I can envision some web team giving each other high-5&#8217;s for a successful online campaign oblivious to the fact that their traditional media counterparts just spent 10x budget which drove more people to the site.</p>
<p>I also would think TV, PR and Event Marketing would have the same effect to a website.</p>
<p>Anyways great post. You sure are lucky to work with smart guys like Nick</p>
<p>-SS69</p>
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		<title>By: Anil Batra</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-422543</link>
		<dc:creator>Anil Batra</dc:creator>
		<pubDate>Sun, 24 Feb 2008 00:16:23 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-422543</guid>
		<description>Great post Avinash. As Patrick M, mentioned above, I saw a negative correlation between blog post frequency and number of subscriber, here is the link to my post

http://webanalysis.blogspot.com/2007/07/increase-in-subscribers-with-longer-gap.html</description>
		<content:encoded><![CDATA[<p>Great post Avinash. As Patrick M, mentioned above, I saw a negative correlation between blog post frequency and number of subscriber, here is the link to my post</p>
<p><a href="http://webanalysis.blogspot.com/2007/07/increase-in-subscribers-with-longer-gap.html" rel="nofollow">http://webanalysis.blogspot.com/2007/07/increase-in-subscribers-with-longer-gap.html</a></p>
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		<title>By: Avinash Kaushik</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-422162</link>
		<dc:creator>Avinash Kaushik</dc:creator>
		<pubDate>Sat, 23 Feb 2008 06:18:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-422162</guid>
		<description>&lt;b&gt;&lt;font color=blue&gt;Ophir :&lt;/font&gt;&lt;/b&gt; There was slight uplift after the campaign ended but not that much. It was a function of the client and the product being advertised. 

The lessons from the Audio Campaign were invaluable in understanding the dynamics of driving traffic to the site and now the client it going with a robust portfolio of campaigns (audio and more). 

I am positive as the product gains wider recognition and the company matures we will end up seeing trends that we typically expect. But at this stage in the life cycle it was not surprising.

I am afraid that in this case I can't share any specific success metrics, the client is not comfortable with that. You understand.

But I can say that the campaign was very positive in terms of the ROI (actually traffic far exceeded expectations). 

The cost per acquisition was not quite what I have seen with paid search for other such companies but it was close, for this client. 

The more delightful thing (as I point out in the post above) was the precious learning about how people behave and get to the site.

Thanks for the kind words, I am thrilled you found the post to be of value.

-Avinash.</description>
		<content:encoded><![CDATA[<p><b><font color=blue>Ophir :</font></b> There was slight uplift after the campaign ended but not that much. It was a function of the client and the product being advertised. </p>
<p>The lessons from the Audio Campaign were invaluable in understanding the dynamics of driving traffic to the site and now the client it going with a robust portfolio of campaigns (audio and more). </p>
<p>I am positive as the product gains wider recognition and the company matures we will end up seeing trends that we typically expect. But at this stage in the life cycle it was not surprising.</p>
<p>I am afraid that in this case I can&#8217;t share any specific success metrics, the client is not comfortable with that. You understand.</p>
<p>But I can say that the campaign was very positive in terms of the ROI (actually traffic far exceeded expectations). </p>
<p>The cost per acquisition was not quite what I have seen with paid search for other such companies but it was close, for this client. </p>
<p>The more delightful thing (as I point out in the post above) was the precious learning about how people behave and get to the site.</p>
<p>Thanks for the kind words, I am thrilled you found the post to be of value.</p>
<p>-Avinash.</p>
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		<title>By: Ophir Cohen</title>
		<link>http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-421949</link>
		<dc:creator>Ophir Cohen</dc:creator>
		<pubDate>Fri, 22 Feb 2008 20:23:25 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/02/excellent-analytics-tip-12-unsuspected-correlations-are-sweet.html#comment-421949</guid>
		<description>Avinash, this is one post really worth reading. There are numerous articles and commentary about analytics but there are so few who really get deep enough and present it in such a practical way. You Rock!

One think I'd expect to see in the charts, is that the radio ads should have a longer effect i.e rather than just getting visits during the campaign, I'd expect to see a general rise even after the campaign ended (hence the quality of the campaign for a longer term can also be measured).

Secondly, a question: Is there a chance you can share some numbers such as conversion rate or cost per visit from the radio ads converted as visitors? i.e. if you invested $100K in radio, and the difference in traffic (organic, branded, direct) was 100K visitors then radio ad visits would cost 1$ each... I think this maybe be a number a lot of us could appreciate as a benchmark (even without the exact theme/vertical).

Thanks Again!
Ophir</description>
		<content:encoded><![CDATA[<p>Avinash, this is one post really worth reading. There are numerous articles and commentary about analytics but there are so few who really get deep enough and present it in such a practical way. You Rock!</p>
<p>One think I&#8217;d expect to see in the charts, is that the radio ads should have a longer effect i.e rather than just getting visits during the campaign, I&#8217;d expect to see a general rise even after the campaign ended (hence the quality of the campaign for a longer term can also be measured).</p>
<p>Secondly, a question: Is there a chance you can share some numbers such as conversion rate or cost per visit from the radio ads converted as visitors? i.e. if you invested $100K in radio, and the difference in traffic (organic, branded, direct) was 100K visitors then radio ad visits would cost 1$ each&#8230; I think this maybe be a number a lot of us could appreciate as a benchmark (even without the exact theme/vertical).</p>
<p>Thanks Again!<br />
Ophir</p>
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