Every time you carry out a Google search, Google runs an auction to decide which Google Ads adverts to show and in which order. This is known as the ad auction.
You might think that, from Googleโs point of view, it would be best to simply sell the top positions to the highest bidders. After all, that would earn Google more money, wouldnโt it?
Well, actually it probably wouldnโt. You see, if any old advertiser could just buy their way to the top then that would lower the quality and relevance of the Google search results. That would lead to people switching away from using Google as their preferred search engine, and then no-one would want to advertise with them.
So the ad auction has to work in a way that balances the financial interests of Google with the interests of both the advertiser and the searcher.
Advertisers want their ads to be shown to relevant people so that those people click on them.
The searchers want to see ads that are relevant to what they searched for.
And Google wants both the advertisers and the searchers to have a good experience so as they keep coming back and using Googleโs services.

Each advertiser tells Google the maximum amount they are willing to pay for a click. And then the amount they actually pay will be just enough to beat the next highest bidder โ just like the way an eBay auction works.
The best way to illustrate this is to use a simplified example.
Letโs suppose there are three ad slots available and there are four advertisers competing for those positions.
The table below shows what each advertiserโs maximum bid is and what amount they actually end up paying if their ad is clicked:
Advertiser | Position | Max Bid | Amount Paid |
|---|---|---|---|
Bill | 1 | ยฃ4 | ยฃ3.01 |
Phil | 2 | ยฃ3 | ยฃ2.01 |
Gill | 3 | ยฃ2 | ยฃ1.01 |
Will | 4 | ยฃ1 | Ad not shown |
As you can see, the advertisers are ranked according to their maximum bid but they only pay a penny more than the maximum bid amount of the advertiser below them.
So if thatโs a simplified version, where itโs all about the money, how does it work once we factor in the all-important relevancy and quality factors that we talked about earlier? Well, thatโs where something called Quality Score comes into play.
When you advertise using Google Ads, Google gives each of your keywords a Quality Score from one to ten ( with ten being the best). The main components in determining Quality Score are:
The most important of these components is the CTR. Thatโs because Google treats a click on an ad as a vote in favour of it. By allowing users to vote with their clicks, Google is letting millions of people help it decide which ads are best for each search query. Itโs their way of incorporating user feedback into the Google Ads system.
Relevancy is the second largest component of quality score. Google takes into account the relevancy of the keyword to both the ad and to the search query. This helps to ensure that only useful ads are displayed to searchers. It also prevents advertisers buying their way to the top for a search thatโs unrelated to their product or service.
The third component of quality score is the quality and relevance of the landing page. An ad is only useful to the searcher if it takes them to a landing page where they can ๏ฌnd the information they were looking for.
As well as being relevant, the landing page should load quickly, be easy to navigate, and work well on mobile devices. It should also have a clear privacy policy.

Unlike in the simplified example we saw earlier, an advertiserโs position in the search results is determined not by their bid but by something called their Ad Rank. The formula for Ad Rank used to be simply:
Quality Score x Maximum Bid = Ad Rank
These days it also takes into account three additional factors:
So the bid is important, but it is not the only thing that determines which position an advertiser gets.
Letโs look again at our four advertisers from the previous example and this time weโll add Quality Score into the mix to find out what their Ad Rank is. To avoid over-complicating things weโll assume they are all equal in terms of the three additional factors listed above:
Advertiser | Quality Score | Max Bid | Ad Rank (QS x Max Bid) |
|---|---|---|---|
Bill | 1 | ยฃ4 | 4 |
Phil | 3 | ยฃ3 | 9 |
Gill | 6 | ยฃ2 | 12 |
Will | 5 | ยฃ1 | 5 |
If we sort the advertisers by their Ad Rank, we can see that they will actually be shown in this order:
Because there are only three ad slots available, and because his Quality Score is so low, Billโs ad wonโt be displayed at all even though he was the one bidding the most.
The basic principle we discussed earlier in the simplified example still applies โ namely that the winning advertiser (the one who gets the click) pays just enough to beat the advertiser below him. But now we need to factor in the Ad Rank too.
In the simplified version we said that the price the winning advertiser pays (p) was ยฃ0.01 more than the bid (b) of the advertiser below. So the equation was a very simple one:

The reality is that the price paid by the winning bidder is determined by saying that their price paid multiplied by their own Quality Score has to be greater than the bid of the advertiser below multiplied by that advertiserโs Quality Score.
So if we call the winning advertiserโs Quality Score q and we call the Quality Score of the advertiser below s then that means that:

which is the same as saying:

So the price that the winning advertiser has to pay (his actual CPC) is going to be ยฃ0.01 more than the Ad Rank of the advertiser below him (bid x Quality Score) divided by the Quality Score of the winning advertiser.
Now let's use an example to show how this works.
Advertiser | Quality Score | Max Bid | Ad Rank (QS x Max Bid) | Price Paid (Actual CPC) |
|---|---|---|---|---|
Kim | 8 | ยฃ4 | 32 | ยฃ3.01 based on 24 รท 8 = 3 |
Jim | 6 | ยฃ4 | 24 | ยฃ2.01 based on 12 รท 6 = 2 |
Tim | 3 | ยฃ4 | 12 | Auction minimum |
In the table above we have got three advertisers and they're all bidding ยฃ4, but they have different Quality Scores. As before, we can determine the Ad Rank of each advertiser by multiplying their bid by their Quality Score.
Whichever advertiser gets the searcherโs click will pay a click cost calculated by taking the Ad Rank of the advertiser below and dividing it by their own Quality Score.
So if Jimโs ad is the one that gets clicked he will pay Timโs Ad Rank (12) divided by his own Quality Score (6), which is ยฃ2, plus one pence.
Tim has no other advertiser below him. Therefore if his ad is clicked he will end up paying the minimum price that's determined for this auction.
A successful Google Ads advertiser will devote time to optimising their campaigns week-by-week and month-by-month. By doing this, they hope to improve, amongst other things, their Quality Scores.
The rewards for doing this can be significant.
Take Kim from the above example and suppose her Quality Score goes up to 10. That means her Ad Rank will increase to 40. So now her actual CPC (Jimโs Ad Rank divided by her Quality Score plus one pence) will drop to:

Google being Google, there are no doubt some additional subtleties in the way they calculate actual CPC which they donโt make public. But, from the good amount of detail that we do have, you can see that Google has created a system which is far more sophisticated than many people realise and which helps create a more even playing field for advertisers with smaller budgets.
Googleโs stated reason for creating this system is that:
It makes users happier because users get to see more relevant ads. It makes the advertisers happier because the advertisers are showing more relevant ads, ads that are more likely to get results from the viewers. And it makes Google happy because, with happy users and when happy advertisers, we get more people using our system.
Which means, of course, that Google makes more moneyโฆ. ๐
If you want to learn how to improve your CTRs and increase your Quality Scores by writing more relevant and compelling ad copy, then grab yourself a free copy of Top 10 Tips for Writing Better Google Ads.

As a digital marketing consultant, author and trainer, I specialise in helping businesses in the financial services and healthcare sectors use the internet to get more enquiries and increase profits.
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