Setting up ad placeholders

Ezoic’s technology is going to test thousands of different ad sizes, locations and density of ads to find the combinations that work best for each user to maximize ad revenue and improve user experience. To do this, it will use placeholders – potential ad locations – to determine the optimal ad layout for each user. 

To set up the placeholders, follow the instructions below:

  1. Make sure you’ve downloaded Ezoic’s Chrome Extension 
  2. You will see the Ezoic logo in the top, right-hand side of your browser 
  3. Click on the Ezoic extension and enter the login details provided via email.
  4. Navigate to your site, and make sure that you are logged out of WordPress.
  5. Start adding placeholders to your site! You can follow along with this tutorial on setting up ad placehodlers.

Remember: The minimum number of placeholders you must set up is 10. Visitors will not see ads in all of these places—these are just potential ad locations. The more placeholders you add to the site, the better the results.

Ezoic will learn and place ads that maximize your revenue while delivering your users an improved experience.

Learn more about how Ezoic’s A.I. increases the value of your ad inventory.
When it comes to ad placements, publishers are often met with dilemmas. Which ad do you show: top of page or sidebar?

Let’s say you look at your ad data and the CPM for “top of page” and “sidebar” are both $3.02. But is the amount the same for those two ad placements when more visitor behavior variables are introduced?

Instead of doing all of this investigating yourself, you can outsource this work to Ezoic’s artificial intelligence, powered by tensorflow.

Next, we tell tensorflow what features in our data we want it to learn from.

After that, we tell tensorflow what type of model to use: here, we’re using a deep neural network regressor (which is a good model to predict numbers, like CPMs)

Now, we tell tensorflow how to load and read the data

And lastly, we initiate training. 8 lines of code in total! It’s that easy. So what does it find?

Tensorflow figured out how to segment the data automatically, in a scalable way. This neural network found an extra 12% of ad revenue hidden in the data.

Summary statistics are uninformative, and you’re leaving money on the table by not digging deeper into your data.

Learn more about how Ezoic’s A.I. increases the value of your ad inventory.
When it comes to ad placements, publishers are often met with dilemmas. Which ad do you show: top of page or sidebar?

Let’s say you look at your ad data and the CPM for “top of page” and “sidebar” are both $3.02. But is the amount the same for those two ad placements when more visitor behavior variables are introduced?

Instead of doing all of this investigating yourself, you can outsource this work to Ezoic’s artificial intelligence, powered by tensorflow.

Next, we tell tensorflow what features in our data we want it to learn from.

After that, we tell tensorflow what type of model to use: here, we’re using a deep neural network regressor (which is a good model to predict numbers, like CPMs)

Now, we tell tensorflow how to load and read the data

And lastly, we initiate training. 8 lines of code in total! It’s that easy. So what does it find?

Tensorflow figured out how to segment the data automatically, in a scalable way. This neural network found an extra 12% of ad revenue hidden in the data.

Summary statistics are uninformative, and you’re leaving money on the table by not digging deeper into your data.