Google AdSense has been around for more than a decade and a half now, this along with DoubleClick for Publishers allows website owners to monetize their traffic.
One of the key challenges in this was to figure out the optimum ad placements without impacting readability and user experience of the site. This trade-off that the publisher had to do was to decide on the different ad slots to create on the web page, and then balance that with the Revenue Per Thousand Impressions (RPM) metric that the digital advertising industry is so familiar with.
In order to help publishers out, AdSense had experiments where you could test different ad layouts and figure out the best layout to monetize the site.
So what has changed now?
This is the applications of artificial intelligence which gives programs the ability to discover new rules and learn from experience without additional programming. So that means, for newbie publishers instead of having to figure out by themselves what ad formats work and what ad placements work for them, you can apply machine learning and let the platform learn on its own.
What that means, is that the publisher is now free to focus on content, and let the AdSense platform figure out the best way to monetize that content on the ad network.
With every new feature, comes a series of disclaimers. Machine Learning requires a lot of data to get things right. If you are a small site such as this blog, then it will take a long time for AdSense to optimally figure out the right ad formats and the proper ad placements.
Having said that, here’s a very simple way using which you can get started with Auto Ads in AdSense.
Setting up Auto Ads
In your AdSense console, in the Ads section you will now find a Auto ads menu item. Click on this, and get started with the setup wizard that’s present there. If you want to know how to embed the Auto ads code in your site, Google also has a helpful support article here.
That’s it! Once the code is setup in your website, you choose the formats you want to add (I chose everything) and let it run.
So far, the results haven’t been that great. However, time will tell if applying machine learning gives great benefits for the publisher.
What benefits should one look at?
Ultimately, it boils down to increasing the aggregate Revenues per thousand impressions metric (RPM). That’s what I’d look at, I would also look at the Click through Rates (CTRs) to go up.