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]]> By: EricFriedman http://www.marketing.fm/2009/06/30/analytics-matters/comment-page-1/#comment-3759 EricFriedman Wed, 01 Jul 2009 14:00:29 +0000 http://www.marketing.fm/?p=2024#comment-3759 I think more folks are starting to get out of the way of analytics providers<br>and let people bring in their own code. Then again some companies do not<br>have any tracking themselves so who knows where this will net out. It is<br>definitely a cool feature that is worth talking about. I think more folks are starting to get out of the way of analytics providers
and let people bring in their own code. Then again some companies do not
have any tracking themselves so who knows where this will net out. It is
definitely a cool feature that is worth talking about.

]]> By: Spencer Fry http://www.marketing.fm/2009/06/30/analytics-matters/comment-page-1/#comment-3758 Spencer Fry Wed, 01 Jul 2009 02:09:17 +0000 http://www.marketing.fm/?p=2024#comment-3758 I'm not trying to self promote. This is merely a suggestion to any website owner out there. We allow all of our users to install their own Google Analytics code directly into their portfolio and it's worked out fantastically well. It's one of our most talked about features. I'm really surprised that I don't see more websites allowing that. I'd love to be able to hook in Google Analytics to my Twitter and Facebook accounts, for instance. I'm not trying to self promote. This is merely a suggestion to any website owner out there. We allow all of our users to install their own Google Analytics code directly into their portfolio and it's worked out fantastically well. It's one of our most talked about features. I'm really surprised that I don't see more websites allowing that. I'd love to be able to hook in Google Analytics to my Twitter and Facebook accounts, for instance.

]]> By: dherman76 http://www.marketing.fm/2009/06/30/analytics-matters/comment-page-1/#comment-3756 dherman76 Tue, 30 Jun 2009 18:19:14 +0000 http://www.marketing.fm/?p=2024#comment-3756 I think there is opportunity to overlay "models in a box" on top of data sets to help predict. The one issue about data is that it's historical and people don't know how to action it. While I know you can't predict the future accurately, there are ways to look at data and forecast what is going to happen. Is there opportunity there for someone to create a solution?<br><br>D I think there is opportunity to overlay “models in a box” on top of data sets to help predict. The one issue about data is that it's historical and people don't know how to action it. While I know you can't predict the future accurately, there are ways to look at data and forecast what is going to happen. Is there opportunity there for someone to create a solution?

D

]]> By: EricFriedman http://www.marketing.fm/2009/06/30/analytics-matters/comment-page-1/#comment-3755 EricFriedman Tue, 30 Jun 2009 18:15:19 +0000 http://www.marketing.fm/?p=2024#comment-3755 Exactly. It helps present a picture that different people interpret<br>differently. Looking at the datasets becomes important <24 hours after you<br>start collecting it, and only grows in importance as you collect data over<br>time.<br><br>GA is one free start, but there are many many more great options. Exactly. It helps present a picture that different people interpret
differently. Looking at the datasets becomes important <24 hours after you
start collecting it, and only grows in importance as you collect data over
time.

GA is one free start, but there are many many more great options.

]]> By: dherman76 http://www.marketing.fm/2009/06/30/analytics-matters/comment-page-1/#comment-3754 dherman76 Tue, 30 Jun 2009 18:12:34 +0000 http://www.marketing.fm/?p=2024#comment-3754 Great post Eric. Collecting stats/data from day 1 is extremely important. Different people look can look at the same data set and extrapolate different meanings as illustrated above and you never know when you're going to need to look under the hood at the data sets.<br><br>Google Analytics is a good free place to start and there are additional services you can add to dive deeper into certain areas of the data. Great post Eric. Collecting stats/data from day 1 is extremely important. Different people look can look at the same data set and extrapolate different meanings as illustrated above and you never know when you're going to need to look under the hood at the data sets.

Google Analytics is a good free place to start and there are additional services you can add to dive deeper into certain areas of the data.

]]>