Sujoyee Chatterjee Sujoyee Chatterjee
Sujoyee was the marketing specialist for Sigmoid. She specializes in Digital marketing, PR operations & content marketing domains.
Sujoyee Chatterjee
She worked as marketing specialist for Sigmoid.
How to Identify the Best Performing Ad-units

It wasn’t a surprise when we found out that the most searched question for ad-unit performance was to identify which was the highest performing one. However, we feel it’s important to first understand why is a particular ad-unit outperforming the other.

The Ad-size plays a vital key is deciding an ad-unit’s performance. It is possible that a lot of times you’re missing out on a lot of good bids because of your selected ad-size choice. Additionally, the placement of an ad-unit also plays a very important role in performance.

If you’re unfamiliar to ad-sizes, you can go through this wikipedia article which explains in detail about various ad-sizes & formats.

You can use sigview to understand which ad-units are doing the best across your market place.

In this tutorial, we’ll select the dimensions that contribute to a high performance, and analyze why an ad-unit isn’t doing well. The dimension we’re selecting here on SigView dashboard is Device_OS.

Step 1: First we will expand the Device_OS dimension. Now we’re adding the metrics which would indicate the high performance like revenue, average bid price, fill-rate & CTR.


Fig 1.0: In the above image, we have selected the metrics Revenue, Avg_Bid_Price, Fill_Rate and CTR on Device_OS dimension.

Step 2: To understand which units are performing the best, we will further select on a particular Device_OS type, by filtering on it.


Fig 1.1: In the above image, we’ve selected a particular device type, Linux and we’re checking its performance based on the selected metrics.

Step 3: In this step, We will then expand the Ad_size dimension to see which ad sizes are performing best for the chosen Device_OS Linux.


Fig 1.2: In the image we can see the following ad_sizes against the following performance metrics.

Step 4: To understand which ad_sizes are performing the best – we’ll select the fill_rate metric in descending order.


Fig 1.3: In this image, we’ve sorted the Fill_Rate in descending order, to understand the top performing ad_sizes.

There are numerous ways in which you can determine the top performing ad-units, we’ve selected only one. For example you can also select ad_format and explore ad sizes within it.

If you wish to analyze more, you can also toggle between various dimensions & focus on a targeted customer by filtering on Geo, gender etc.

You can take a look at our old series to see if anything interests you. You can contact us directly for a free demo, to understand more about Programmatic ad analytics.

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