Tastybuds

Google’s two products, AdSense for Search (AFS) and AdSense for Content (AFC), have much in common, but there are also some key differences. Most people who signup start with AFC, but they are missing out if they don’t implement AFS.

AFC targets content pages, and tried to find a relevant advertiser given everything you put on that page. It is a difficult task, but Google does a fairly good job of matching advertiser to publisher. To help, you can implement Section Targeting, which gives Google a better idea of what your true content is, and can increase CPC (better advertiser match) and CTR (more relevant).

AFS is triggered when a user searches through you site, and in these cases, Google really excels. Google is given an exact keyword or phrase that the user is looking for. Also, Google has more advertises paying into AFS specifically because it is better targeted. The payouts are almost always higher, and because the ads are way more relevant, the CTR is usually way higher.

Most sites do not implement AFS, even though it is fairly easy to set up. Once you are set up, there are several things you can do to optimize. First of all, just like any other ad, you should test several styles and locations on the page. You wihout a doubt will find something at least 20% better than where you started, and often more.

But after doing these basic optimizations, you might realize that one of your main problems is not enough traffc to the search results pages. To fix this, you need to play around with where your search boxes are. Add more of them, put them in different locations, and start testing how they are styled. Once again, you will fairly quickly see large gains to traffic, which then leads to revenue.

One last tip is to start playing around with forced keyword searches. This is where you create a direct link to a valuable search results page. This page might be valuable because it has a ton of good article results which you users will like, or because of high paying AFS ads. Use <a href=”https://adwords.google.com/select/KeywordToolExternal?defaultView=3″>Google’s Keyword Tool</a> to find the best paying, but still relevant terms, and start trying them out. Don’t forget to once again test style, location, and which terms you are using to maximize your Google revenue.

One of the most critical aspects of a testing and optimization is choosing proper segments. You can lump everything together, and run one test for your entire site, but the gains will be far less than if you were to run 3 or 4 tests, one for each segment you are interested.

You can segment on just about anything. One of the most obvious variables is pagetype. For example, if you run a blog, the front page may be structured different from your article pages, which might be different from your links page. Each of these pages might be able to comfortably fit a different amount of ad units (for example, your homepage might get one below each article, while your article pages might only have one on the right side). Even if you do have the same initial layout on all your pages, you will find out that the same exact ad unit will perform different on each page.

Another variable you can segment on is whether a user is logged in. Regular visitors behave differently than casual ones, so you you should treat them as such. Often, the best style for one set of visitors will not perform as well for another set.

Time of day, or day of week, is another thing you can split on. If your site is business oriented, you might see different types of users during regular work hours than on weekends. Weekend users might be better optimized for multiple units, while business users for a single precise unit.

The point is that you have a ton of information about your users, and you should use that information segment. Each of these segments may perform different, and you should optimize accordingly. Other ideas dr segmentation include:
Time on site
Browser type
Country of origin
IP
Users from Google
Category or topic of page

Not all sites will be able to segment on all of these variables easily. Also, some of these variables might or might not have a huge impact. But the point is that you should be testing as much as you can, and when performing your tests, you should break things down as granular as you can.