In a few months, you will no longer be able to create Expanded Text Ads (ETAs) as Responsive Search Ads (RSAs) will become the default ad type. In getting ready for this transition, we are comparing ETAs and RSAs to better prepare for the upcoming changes.
This comparison will let you see how the performance data in your accounts might change with the transition as well as share strategies on how to best create and manage RSAs. We’ll have some upcoming posts on different ways you can create, manage, and test RSAs so you can hit your account’s goals.
In 2019, we compared RSAs to ETAs and found RSAs often won for CTR while ETAs often won for conversion rates. That was almost 3 years ago, so we expected to see RSAs win more often across the board as Google’s machine learning has had a lot of time to gather data and create a better algorithm.
In this post, we’ll not only look at an overall comparison of ETAs and RSAs, but we’ll also delve in detail into six different performance metrics to assess the severity of wins and losses by each ad type.
We used data from several thousands of accounts to find ad groups that met the following specific conditions:
By using the above criteria in selecting the ad groups, we are confident the conclusions reached in this post are as accurate as could possibly be, and the trends will hold across any large enough group of accounts.
When we look at the number of times one ad type outperformed the other in six different metrics, we find that ETAs won in every single one of the metrics analyzed.
In addition, we compared the impact of rotating ads evenly in campaigns that use manual CPC bidding versus scenarios where optimized rotation was used. We saw no difference in the data of the two sets as far as how often one ad type outperformed the other.
The above results tell us how often one ad type outperformed the other but don’t tell us by how much. To better understand the severity of the difference in performance between the two ad types, we will delve into each comparison in more detail. You will see charts below, for each metric, exposing a better breakdown of the above data.
The way the below charts are plotted are as follows:
This was a huge surprise to us. We expected RSAs to at least win by CTR as Google is excellent at optimizing CTR. While ETAs barely won, it was still unexpected.
From the above, we can conclude the following:
This result was not surprising as that has long been the main complaint against RSAs i.e. their inability to consistently convert better. However, the percentage of wins of 67% to 33% was surprising.
From the above, we can conclude the following:
The CPA data shares a lot of trends with the conversion rate data. From the above, we can conclude the following:
ROAS was one of the oddest metrics to work with as there were so many outliers and massive differences in ROAS by ad type. If the outlier was above 100, we lowered it to 100 to make the data easier to read as some of the outliers hit almost 2000, meaning one of the ad types was over 2000 times better than the other ad type.
From the above, we can conclude the following:
We also analyzed the data using a number of different filters e.g. include only ad groups where there were at least 10 conversions per ad, or at least 500 in conversion value, etc. Irrespective of how we sliced the data, the overall trends of huge differences and massive wins in ROAS remained.
We are confident that the reason ETAs won so overwhelming in ROAS is due to their higher conversion rates.
Conversion per impression (CPI) looks at the ratio between how often an ad is displayed (impression) and how often it receives a conversion. CPI is one of our favorite metrics since it combines both the frequency of clicks (CTR) and how often a click converts (Conversion Rate).
From the above, we can conclude the following:
Conversion value/impression is another favorite metric as it looks at how much revenue an ad brought compared to how often it was displayed. This metric takes into account CTR, conversion rate, and average checkout amount into a single metric. It’s a favorite among e-commerce sites and those that track and bid based upon revenue.
As with ROAS, there were a number of outliers in the 100-250 range, so we capped them all at 100. The outliers were not nearly as extreme as with ROAS, however, a lot of the same types of conclusions can be made as with CPI.
From the above, we can conclude the following:
Overall, ETAs brought in more revenue per impression than RSAs. Much of that is due to the conversion rate differences. We would not want to make this a firm statement, but what we often see is that ETAs are written in specific ways to try and incentivize users to both convert and to have higher checkout amounts through offers like free shipping at certain amounts, discount codes to increase shopping cart basket size, etc.
With ETAs, you know how these ads will be rendered and can make a direct connection from the ad impression to the products. With RSAs, that same control does not always exist. There are still ways of creating RSAs that can make them behave similarly to ETAs which will be covered in an upcoming post.
Overall, the win percentages of ETAs are higher than RSAs across all metrics. We feel this is partly due to the RSA format itself which requires more effort from the search marketer to create and manage in more strategic ways than they are used to with other ad types.
Based upon the above data, this is how we recommend most accounts should approach the ETA to RSA transition:
The transition period right now, where you can still create ETAs, is a good time to gain insights from all your ad types so that you are ready for the day ETAs will be sunsetted.
To help you create better performing RSAs, we’ll go into more detail in future posts about what you need to know during this transition. Keep an eye out for the next parts of this series in which we will cover:
Alex
Hi Brad,
Thanks for the analysis and insights it provides. Google says RSA’s participate in more auctions than ETA’s. Therefore a lower CTR, CVR etc. could be due to the fact that you are participating in lower quality auctions (less relevant). Still by participating in more auctions you can get more conversions and conversionvalue at a similar CPA or ROAS. Whats your opinion about this?
Kind regards,
Alex
Andrew G
Hi Brad,
On a much lower sample size, my impression of the trend is similar to yours.
A thought: one reason ETA’s perform well, in well-managed accounts (some of the time), is that they’ve been tested and honed by fire over the years. RSA’s, as you mention, “take more effort.” Sometimes, they do better. But oftentimes all they wind up doing is diluting your existing, well-honed ad elements with a jumble of ideas and triggers that aren’t as compelling. Google doesn’t mind: for the purposes of learning and training the machines, “throw anything and everything at the wall” (especially if it doesn’t harm CTR) is fine. But individual firms forgoing profit for a few quarters or even years, in the spirit of excessive experimentation… I think we can see how that’s problematic.
Odi Caspi
Hi Brad
Thank you for sharing this detailed comparison. I think it proves that a lot of advertisers have been seeing in their own accounts.
I have a question. If CPAs are higher and ROAS is lower, does that mean that Google has just increased the cost of advertising on search globally? Or will the market balance it out?
With no real competition in their field, I wonder how much incentive Google has to give us a better product that will bring client costs down.
Thanks
Odi
Ian
Awesome analysis Brad – thanks! Your conclusions align well with a study we did in December focused on the Rx Pharma Brand Manufacturer vertical, where we simply looked at # of ad headlines served by brand on specific keywords over a ten month period on Google and compared that to each respective brand’s average ad position on the same keywords. # of headlines was used as a proxy to help marketers understand if more modular assets (which RSAs enable) translates to better performance at least in terms of ad position. Limited insight, but adds additional context to the ETA>RSA migration conversation.
Essentially, we saw that more headlines tested translates to higher ad position. (Yes, this could be due to multiple other factors like bidding and ad copy relevance, but the trend is pretty clear.
I wonder if your dataset can be segmented to reveal whether ad groups containing RSAs that tested more headlines than the ETA ad groups performed better?
John Cammidge
Fantastic, in-depth article, Brad. We plan on creating RSA adverts across all accounts and running them alongside existing ETA’s.
However, we will be pinning headlines and descriptions so they mimic ETA’s. After discussing this with my team we have decided to test pinning multiple headline 1’s, and maybe headlines 2’s, providing they are readable from a customer intent point of view. Do you think this is a sensible approach to transitioning to RSA’a?
Al Mullowney
Hi Brad, great article. Is one RSA per ad group still the recommendation?
Hans
Hi Brad!
Very interesting, thank you. In his excellent book “Join or Die” (publish. 2020) Patrick Gilbert claims that some auctions is reserved for just RSA:s. Can you confirm this?
Jos
Thanks for researching and sharing your insights. Have you made any split up between adgroups using broad match keywords vs adgroups using only exact match or phrase match keywords? In other words, when slicing the data for the six metrics you described, is it possible that RSA’s still beat or equal ETA’s when only looking at broad match ad groups, or at least the difference in percentage is smaller?