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Google Ads Match Types: Phrase, Exact and Broad

Can Davarcı profile photo

Can Davarcı

Founder & Growth Lead

PUBLISHED

August 28, 2026

READING TIME

7 min read

30-Second Summary

What you'll learn from this article

  • The match type, not the keyword list, decides where the budget goes
  • Phrase match is the default in a new build
  • Exact match is reserved for keywords with proven conversions
  • Broad match spends a new account's budget on learning
  • None of them works without a three layer negative keyword list
Article summary: The match type, not the keyword list, decides where the budget goes. Phrase match is the default in a new build. Exact match is reserved for keywords with proven conversions. Broad match spends a new account's budget on learning. None of them works without a three layer negative keyword list

In a Google Ads account the same keyword can capture completely different searches depending on its match type. In one account "web design" reaches only that intent; in another it also shows for "free website builder". The difference is not the keyword, it is how that keyword is matched.

This guide separates the three types with examples and explains which one we use as the default in the accounts we run, and why.

What a match type actually decides

A match type is the rule that decides whether a search counts as the same thing as your keyword. Your keyword list says what you want to sell; the match type says how widely that intent will be interpreted. The second decision is what determines where your budget goes.

There are three types: phrase, exact and broad. None of them is wrong in itself; the problem is using them in the wrong place.

Phrase match: our default

Phrase match shows your ad when the meaning of your keyword is contained in the search. "adana web design" will capture "adana web design prices" and "adana corporate web design", but not "what is web design", because the intent is different.

In mid-2021 Google moved the behaviour of the now retired broad match modifier into phrase match. Today's phrase is therefore wider than it was a few years ago, and unexpected searches in older accounts usually come from that change.

We use phrase match as the default in every new search campaign. It keeps the intent while leaving a reasonable discovery window: exact match alone often cannot find volume, and broad match alone spends the budget on learning.

Exact match and the close variant question

Exact match is not as strict as the name suggests. Google has long included searches with the same meaning: singular and plural forms, misspellings, reordered words and synonyms. "web design agency" can also capture "web designing agency".

Exact match belongs on core keywords whose volume and conversions are already proven. If a keyword converts consistently in the search terms report, moving it to exact match in its own ad group with its own ad copy is sound. Setting everything to exact on day one usually prevents an account from collecting enough data.

Broad match: why it is not our default

Broad match looks beyond your keyword at the whole account: your landing page, the other keywords in the ad group, the user's earlier searches and location signals. That is powerful in a well built account with conversion data flowing, and expensive in a new account without it.

Our rule is clear: broad match is not the default in a new account. It belongs either in campaign types where the system does not take keywords, or in a deliberate discovery campaign inside a mature account with solid conversion tracking. Both require a weekly search terms review.

How to choose

New build and the first 30 days: phrase match. The goal is to see which searches actually arrive and to feed the negative list from them.

Core keywords with proven conversions: exact match, in a separate ad group, with its own ad copy, so that bids and messaging can be tuned to that intent.

Volume hunting in a mature account: controlled broad match on a small budget, in its own campaign, with weekly search term cleaning. Never mixed into the main campaign.

Match types alone are not enough: the negative keyword layer

The match type decides how wide you open the door; negative keywords decide who does not come in. They work together. Trying to cut irrelevant traffic by narrowing match types alone cuts the volume with it.

In our setup negatives sit in three layers: an account-wide shared list for searches that never fit the business model, a campaign layer for exclusions specific to that service, and an ad group layer of cross negatives that stop groups eating each other's traffic. The weekly search terms report feeds all three.

Quality score is tied to the same chain, because clicks from irrelevant searches damage your click-through rate and therefore your cost per click.

Three common mistakes

First, putting all three match types in one ad group. Your keywords compete with each other for the same search and the reporting becomes unreadable. Separate the types into different groups or campaigns.

Second, not reading the search terms report. A match type is an assumption; without the report you cannot know whether it held. Once a week is enough for most accounts.

Third, mistaking narrowness for quality. An account where no irrelevant search ever arrives is usually an account that is not getting enough searches either. The goal is to filter what is irrelevant, not to reduce traffic to zero.

Conclusion

The match type is the first decision that determines where your Google Ads budget goes. Start a new build with phrase, move proven keywords to exact, and use broad only once you have data and can control it. None of them works without a three layer negative list.

If you would like us to review the match structure in your account, you can reach us from our Google Ads management page. The full picture is in our Google Ads guide.

Frequently Asked Questions

Phrase match is the most balanced choice for a newly built search campaign. It preserves intent while leaving enough discovery to feed the search terms report.

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AUTHOR

Can Davarcı

Founder & Growth Lead

Digital growth strategist. Led digital transformation for 278+ brands with 10+ years of experience. Expert in data-driven marketing and AI integration.

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