RE DEFINING THE EMAIL MARKETING FUNNEL

The Email marketing funnels are being changing during last years. The most commonly used is the following: Later people fount out that there is another important metric, mainly with the landing of the called “viral marketing“, forwards and/or tell a friend. This new metric added complexity to the funnel and each Analytic Professional opted for a different design. The most commonly used (at least the one I saw the most) is the following one (forwards are inserted into the funnel in different places): The problem with the above displayed funnel is that Forwards aro not part of the conversion process of a single user. I mean people can

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TWIN INTERVIEW – JIM STERNE AND ERIC PETERSON

In order to get some different point of views about some topics of our industry I interviewed two of the main referents, Eric Peterson and Jim Sterne. Everybody know them so there isn’t  so much to add but my personal feeling… Great people and passionate professionals.  Eric Peterson, with more than 10 years of working in the industry, is one of the most experienced professionals in the world. He is the Author of the book Web Analytics Demystified, one of the most important books in this field and founded Web Analytics Demystified Inc. in 2007 after working as an Analyst for Jupiter Research. His blog Web

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AVINASH IN THE EARTH OF TANGO

It’s been so long since I’ve interviewed Avinash in this blog (Actually the blog was called damia.com.ar in that time). In that moment I’ve just don’t even imagine having Avinash visiting our country or even Latin America. However some years later that is a fact. The 17th of march Avinash will be landing Buenos Aires bringing with him his contagious passion and love for Web Analytics. The day after he will be presenting at a very exclusive event sponsored by Google. If you don’t know Avinash, something difficult if you work in Internet (and/or had a chat with me  ), he is one of

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I’VE RECEIVED AN INDECENT PROPOSAL

Today I was looking at the blogs are linking to Analytics 2.0 and found a post at the blog elwebmaster.com called “ahora los bloggers se desnudan” which means now the bloggers get naked. My first thought was, what does this post has to do with mine, so my first reaction was using apple + search and type [analytics 2.0] and nothing happened. So I read the entire post which talks about the 10 frech bloggers that got naked and at the end it says “Here in Buenos Aires, the blogger chicks propose a photo session but this time we get guys naked  ¿Could

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YAHOO! WEB ANALYTICS VS. GOOGLE ANALYTICS, AND THE WINNER IS…THE USER

Yesterday I found a very interesting post at vnunet.com. The post called “Yahoo! Trumps Google enterprise Web Analytics” mentioned a report from the independent analyst CMS Watch which, in few words, says that Yahoo! Web Analytics fit best the Enterprise requirements than Google Analytics. You can download the report here. The report confirms what everybody already know but in my opinion doesn’t mention something important that gives relevance to the analysis. Google Analytics and Yahoo! Web Analytics (former Indextools) came from different markets. Google Analytics until last year was focused on SMBs and end users while Yahoo! Web Analytics on the Corporative market. So, what we

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How to improve your online businesses and not die trying

The main goal in online projects, like in the rest of the industries, it is to maximize the benefits. If you want to do that the key is taking as much as you can from you current capacity (what you already have). The best thing that could happen to us is that much of what we are looking for (our goal) crosses through our system (campaign, website, shopping cart, etc). The effective quantity of things that flows through your system is called throughput. In order to simplify the process lets say that our online project is based on three main

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Relevant information in non-perfect enviroments

If you lose more than 30 minutes a day analyzing your site its probably that you are not doing things as good as possibleMost of the people I know carry on the following analyzing process: 1- Login to the Web Analytics tool and I look at the traffic. If it looks similar to yesterday (or the same day from the last week), then we are ok.  If the traffic is higher or lower, then I try to find why. 2- To find the “why” I look at the different reports and (if available) I cross data trying to get some

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