Comments on: Convert Data Skeptics: Document, Educate & Pick Your Poison http://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html Pluralitas non est ponenda sine neccesitate. Mon, 15 Mar 2010 22:32:21 +0000 http://wordpress.org/?v=2.9.2 hourly 1 By: 12 Most Important Business Books From Last 10 Years / stevechenoweth.comhttp://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html/comment-page-1#comment-491455 12 Most Important Business Books From Last 10 Years / stevechenoweth.com Mon, 08 Mar 2010 22:14:07 +0000 http://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html#comment-491455 [...] Web Analytics: An Hour a Day – What, you’re thinking, and now a web analytics book? What gives? Simple. Avinash Kaushik has given deep thought to the importance of metrics and how companies can create the ones that really matter. While the book speaks about web analytics in particular, many of the lessons apply to any measurement effort. See this recent post for just one example. [...] [...]
Web Analytics: An Hour a Day – What, you’re thinking, and now a web analytics book? What gives? Simple. Avinash Kaushik has given deep thought to the importance of metrics and how companies can create the ones that really matter. While the book speaks about web analytics in particular, many of the lessons apply to any measurement effort. See this recent post for just one example.
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]]> By: Avinash Kaushikhttp://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html/comment-page-1#comment-484859 Avinash Kaushik Mon, 06 Apr 2009 01:10:22 +0000 http://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html#comment-484859 <strong><font color=blue> Typicalwebgirl: </font></strong> First it is important to realize that most of the time your AdWords number will be higher than your Omniture/Google Analytics/WebTrends number. They do attribution in very different ways.Some of the reasons mentioned here would apply in your case as well:<ul> <a href="http://adwords.google.com/support/bin/answer.py?hl=en&answer=55610" rel="nofollow">Why do AdWords and Analytics show different figures in my reports?</a> </ul> <br> <p>My buddy John and I had done a short series of videos that goes much deeper into this. You'll find it here:<ul> <a href="http://www.kaushik.net/avinash/2008/03/standard-metrics-revisited-5-conversion-roi-attribution.html" rel="nofollow">Standard Metrics Revisited: #5 : Conversion / ROI Attribution</a> </ul> <br> <p>Hope this helps.-Avinash. Typicalwebgirl: First it is important to realize that most of the time your AdWords number will be higher than your Omniture/Google Analytics/WebTrends number. They do attribution in very different ways.

Some of the reasons mentioned here would apply in your case as well:

My buddy John and I had done a short series of videos that goes much deeper into this. You'll find it here:

Hope this helps.

-Avinash.

]]> By: typicalwebgirlhttp://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html/comment-page-1#comment-484857 typicalwebgirl Mon, 06 Apr 2009 00:28:54 +0000 http://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html#comment-484857 Stumbled across this article today while reading up on conversion metrics. I just dealt with this at work comparing numbers between Google Adwords and our new webanalytics tool. The Adwords numbers are much higher than the analytics tool, and I was pretty much blamed for not being vigilant enough about the numbers--because the difference was deemed more than acceptable and there is too much double counting going on. But the more I read on this the more I'm convinced the double counting is good because all marketing items work together to create a customer. Of course, that does make it hard to determine which marketing effort does attribute what amount of the conversions. How does one reconcile these two things? Stumbled across this article today while reading up on conversion metrics. I just dealt with this at work comparing numbers between Google Adwords and our new webanalytics tool. The Adwords numbers are much higher than the analytics tool, and I was pretty much blamed for not being vigilant enough about the numbers–because the difference was deemed more than acceptable and there is too much double counting going on. But the more I read on this the more I'm convinced the double counting is good because all marketing items work together to create a customer. Of course, that does make it hard to determine which marketing effort does attribute what amount of the conversions. How does one reconcile these two things?

]]> By: Sevenhttp://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html/comment-page-1#comment-318646 Seven Mon, 29 Oct 2007 08:56:34 +0000 http://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html#comment-318646 Thank you very much for your answer. It may be really hard to indentify the unique visitor(cookie is a way to indentify this but certainly it can not represent the exact unique visitor as you said),I think that we shouldn't be restricted in the metrics, what we should do is to pay more attention to the customer orientation.All the metrics that can lead us into this intent are good metrics. By the way, really happy to read your articles, it helps me to enlarge my knowledge.I hope i can learn more from this. Thank you. Thank you very much for your answer.
It may be really hard to indentify the unique visitor(cookie is a way to indentify this but certainly it can not represent the exact unique visitor as you said),I think that we shouldn't be restricted in the metrics, what we should do is to pay more attention to the customer orientation.All the metrics that can lead us into this intent are good metrics.
By the way, really happy to read your articles, it helps me to enlarge my knowledge.I hope i can learn more from this. Thank you.

]]> By: Avinash Kaushikhttp://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html/comment-page-1#comment-318419 Avinash Kaushik Mon, 29 Oct 2007 05:37:15 +0000 http://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html#comment-318419 <font color=blue><b>Seven : </b></font>The way Unique Visitor is identified usually is by the use of a anonymous cookie that is placed on a computer. This is a text file that usually does not contain any personal information.In as much it is very difficult to tie things down to a person.Some companies will capture and store PII (Personally Identifiable Information) in the cookies or url stems but this is a practice that is usually not looked upon approvingly (both by practitioners and customers).At the moment capturing and showing demographic information is lots of guess work (there are third parties that can provide you this information). But I want to stress that purely knowing someone is Male or Female is usually of marginal value (in terms of your ability to then take that data and find insights and turn them around into action).There is a lot more behavioral data you can, and do, capture in your web analytics tool that can be greatly actionable (and more than demographic). Additionally understanding micro-segments of your customers (campaigns, sources, organic / ppc, new vs returning, content consumed etc etc) are super actionable. I would recommend chasing those (and perhaps you are already on that path!).Hope this helps.-Avinash. Seven :

The way Unique Visitor is identified usually is by the use of a anonymous cookie that is placed on a computer. This is a text file that usually does not contain any personal information.

In as much it is very difficult to tie things down to a person.

Some companies will capture and store PII (Personally Identifiable Information) in the cookies or url stems but this is a practice that is usually not looked upon approvingly (both by practitioners and customers).

At the moment capturing and showing demographic information is lots of guess work (there are third parties that can provide you this information). But I want to stress that purely knowing someone is Male or Female is usually of marginal value (in terms of your ability to then take that data and find insights and turn them around into action).

There is a lot more behavioral data you can, and do, capture in your web analytics tool that can be greatly actionable (and more than demographic). Additionally understanding micro-segments of your customers (campaigns, sources, organic / ppc, new vs returning, content consumed etc etc) are super actionable. I would recommend chasing those (and perhaps you are already on that path!).

Hope this helps.

-Avinash.

]]> By: Sevenhttp://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html/comment-page-1#comment-310127 Seven Thu, 25 Oct 2007 08:39:04 +0000 http://www.kaushik.net/avinash/2007/10/convert-data-skeptics-document-educate-pick-your-poison.html#comment-310127 Really great post,Avinash.I am writing to get help from you, in the problem of how to calculate the unique visitor?Just assume that we are in a retail web site,we may use email_id or something like that to identify the unique visitor.But if I want to analyze the correlation between age and product consume, and I think this method is going to break down. For example, I use this email_id to login while my father also uses this id to login to pursue different product. And we are in the same personal information while actually we are in different age; this definitely makes the result inaccurate.Any suggestion? Thanks. Really great post,Avinash.

I am writing to get help from you, in the problem of how to calculate the unique visitor?

Just assume that we are in a retail web site,we may use email_id or something like that to identify the unique visitor.But if I want to analyze the correlation between age and product consume, and I think this method is going to break down. For example, I use this email_id to login while my father also uses this id to login to pursue different product. And we are in the same personal information while actually we are in different age; this definitely makes the result inaccurate.Any suggestion? Thanks.

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