Optimizing AdSense and the Big Picture

Optimizing AdSense is a fairly simple procedure to get started on, and you will notice the results very quickly. But as you begin to do more of it, you have to take into consideration the possible negative effects of your optimization. Many sites have multiple revenue streams, including display media, leads, and sponsorship. Is your optimization hurting those other revenue streams?

In order to get a good idea of the effect you are having, it is necessary to segment users into groups, and see how those groups are monetizing with AdSense, along with any other useful metrics you have access to. For example, how many pageviews per user are you getting with each test style? How many leads are these users generating?

Depending on your site structure, and what tools or partners you are using, getting the answer to these questions will be different, but the overall methodology should stay the same. One simple way to look at the overall site performance is to start each page with a cookie. If a user already has a cookie, you check which test group they belong to, and assign that value to a variable. If they don't yet have a cookie, you randomly put them in one of your test groups, and give them the cookie for later pages in their session.

Once you have established a user in a group, you then make sure to pass this information anywhere it applies. For AdSense you will show the test style associated with that group. If you use a partner like shopping.com, you can pass in the test name for tracking leads from these users. For your analytics software, you likewise segment based on this test group.

Now instead of looking how just AdSense is performing, you can start to see a larger picture. In my experience, often what is best for AdSense often is a net gain for sites, but there are definitely exceptions. Using this framework, you can make sure that your testing gives you results that optimize your entire site.

Source : Danni Gabriner / www.ezinearticles.com