How Does Google Ads Work?
The auction, quality score, and where budgets are most often wasted.
How does Google Ads work?
Google Ads runs an auction each time someone searches. Advertisers bid on keywords, and position is determined by a combination of bid and ad quality — expected click-through rate, ad relevance and landing page experience. Better quality can win a higher position at a lower cost per click than a competitor bidding more.
Understanding the auction explains why some accounts pay far less per click than others for the same terms, and why landing pages matter to advertising costs and not just to conversion.
How is the cost per click decided?
By the auction: your bid combined with quality signals determines your rank, and you pay only what is needed to hold that position against the next advertiser. Improving quality can lower what you pay while keeping the same position.
This is why landing page relevance affects cost. An ad sending traffic to an unrelated homepage scores worse and pays more for the same visibility.
What is quality score?
A diagnostic estimate of ad quality based on expected click-through rate, ad relevance to the search term, and landing page experience. It is an indicator rather than the actual auction input, but the underlying factors genuinely affect cost and position.
Treat it as a guide to what to improve rather than a number to optimise directly. Tight ad groups with matching landing pages address all three factors at once.
Where is Google Ads budget most often wasted?
Broad match keywords with no negative keyword list, which attract irrelevant searches. Missing or incorrect conversion tracking, which leaves automated bidding optimising towards nothing useful. And sending all traffic to a homepage rather than to a relevant page.
Reviewing the search terms report regularly and adding negatives is ongoing work, not a setup task. Accounts left unattended drift towards irrelevant traffic.
What are match types?
They control how closely a search must match your keyword. Exact match is narrowest, phrase match is broader, and broad match is widest and relies heavily on the platform's interpretation. Broad match without negatives is where most wasted spend occurs.
A common structure is exact and phrase match for known-good terms, with broad match used deliberately and monitored closely for discovery.
Should I use automated bidding?
It works well with accurate, sufficient conversion data. With weak or missing tracking it optimises towards the wrong outcome efficiently, which is worse than manual bidding. Get tracking right before enabling it.
Automated strategies also need enough conversion volume to learn from. Very low-volume accounts often do better on manual control.
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