To understand how Quality Score (QS) is used, you first need to understand a little about Google and their advertising platform AdWords. Whenever someone searches on Google there are two processes that happen at the same time. First, Google must go to their index of internet sites and find the top search results for that specific query. These are the “organic” results that you see on every search page. The second process is an ad auction where Google goes to AdWords to find which advertisers may want to advertise on that specific query.
Once a list of potential advertisers is found, AdWords must conduct an auction to determine which advertisers will show, what positions those ads will show in, and how much each advertiser will be charged if their ad is clicked by the user. This ranking is done using a metric called Ad Rank. Ads are placed on the page with the highest Ad Rank first and going in descending order to fill available placements.
Ad Rank is calculated by multiplying Quality Score by the maximum cost/click (CPC) bid an advertiser has given the eligible keyword. So the higher your Quality Score, the better placement you can get and you can pay less per click to compete with other advertisers. So how does AdWords determine Quality Score?
Quality Score (QS) is a number from 1-10 that AdWords assigns to each keyword in an advertiser’s account. It takes into account 3 main factors; Expected CTR (click through rate), Ad Relevance and Landing Page Experience. Each of these components is given a score of “Below Average”, “Average” or “Above Average” in the AdWords system. Let’s talk about each of these:
As you might imagine, each component is not weighted equally in Quality Score. In the early days of Quality Score, it was very opaque and highly correlated with CTR. This made sense because Google only makes money when someone clicks an ad and high CTR indicated “profitable” keywords for Google. However, Google now has released their scores for each component which allowed AdWords grandmaster Brad Geddes to calculate the following breakdown:
AdWords Quality Score components (weighted)
As you can see, Landing Page Experience and Expected CTR are most important with Ad Relevance bringing up the rear. Expected CTR is big because it indicates how likely Google is to make money on a search and so high CTR will always be favored. And when we consider the user experience, Ad Relevance is only a small part of the process. It only connects the search with the ad (and is somewhat already being factored into Expected CTR). But the landing page experience is the real make or break of the experience. No matter how appealing the ad, if people click and immediately hit their back button it makes Google look bad. Basically a bad recommendation.
As I mentioned earlier, you now have the ability to see not only a specific quality score, but the rating of each component. By default these columns are not visible, so you’ll need to navigate to the Keywords section in AdWords and then customize columns. Look for these:
There are both current and historical values that you can view. I recommend starting with your current metrics and you can compare to historical values later. Here is an example for an account I work with:
The bottom keyword has a QS of 5 and we can see that the Expected CTR is Below Average. Therefore I would focus on ad copy testing and maybe add some negative keywords to help improve this component, and thus improve my quality score.
The same goes for Landing Page Experience and Ad Relevance. Anytime you see “Below Average” it shows that you need to make some changes.
Quality Score is a vital component of any AdWords account and has a direct impact on results. Maintaining high Quality Scores leads to better position and lower CPC versus your competitors. Poor Quality Scores will necessitate higher bids to compensate, thus hurting the bottom line.
PPC (Pay Per Click), or the process of helping businesses drive traffic to their site from places like Google, LinkedIn, Facebook, etc., has proven to be one of the fastest ways to get the results you need to grow your business. These articles are focussed on the best practices of online advertising.
Big tech companies are talking a lot about machine learning and AI right now. And if you believe the
Google Ads is always testing new formats for ads that appear on search results pages. In the
Facebook has been facing immense pressure concerning their advertising platform. The Cambridge
Over the years Google has built a massive network of websites that display advertising. These ads
Comments