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Which webpages are making you money?

Yesterday I generated four iGaming players from 15 clicks. That’s great, however with the data that was available to me, I had no idea which pages on my website was sending the clicks that were driving converting clicks.

I have event tracking labels on all of my outbound affiliate links, so in Google Analytics I can drill down to some level to understand what keywords and landing pages are driving those sales, but beyond that, on my affiliate portals, I cant tell which traffic my site gets actually converts.

So I thought, wouldn’t be great if I could see which pages on my affiliate website were the clicks that converted?

  1. On affiliate portals, create a different campaign URL for each of your main landing pages
  2. Cloak each URL using .htaccess
  3. Replace all of your outgoing links with variables
  4. In a PHP file, set a URL variable using the  $_SERVER function
  5. Write conditional statements that set the outgoing link based on matching the URL function
  6. BOOM!
Following this methodology, I can now break down my iGaming accounts and see of the pages that are driving clicks, which ones (and therefore what traffic) is actually making me sales.

The battle of transforming data into information

Microsoft Excel

Microsoft Excel

It is fast approaching two months I’ve been working as a SEO professional in digital marketing and there has been one constant theme, the usefulness of data. Rational decision making is limited by a lack of information and time, but by having knowledge and tools at hand, one can quite easily limit these bottlenecks.

At the SEOmoz Pro Training Seminar 2009 Excel was either referred to or used numerous times and reading some of the commentary about the two days, I wasn’t alone in feeling I need to improve my Excel skills. With some pivot tables, identifying the links your competitors have but you do not can take minutes instead of being a horrible laborious task.

One of my modules on my Master’s was quantitative research methods and it comprised of statistics. P values, confidence intervals, distribution models, regression models… all of that. It was the least enjoyable module I did at university but I worked hard and graded really well on it. Perhaps had I had a better understanding of SEM, I could have seen use for it and played around a little for the gain of digital marketing. I wasn’t a total stranger to Google Analytics when starting my job, but I hadn’t used it on any of my own websites. Google Analytics is really interesting and now it’s running on my sites.

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