Exact match or phrase match: which offers the most value?

Match types aren’t just about range

When advertisers choose a match type, they often think in terms of simple logic:

• Exact match gives you control
• phrase match gives more volume
• Broad match provides the widest reach

That is still more or less true. But in practice, the distinction is less clear-cut than it used to be.

Google now places greater emphasis on intent and semantic proximity when matching queries. This means that exact match is no longer entirely exact, and that phrase match can, in some verticals, open up more opportunities than many people realise. Therefore, match types should not be viewed as rigid technical categories, but as varying degrees of interpretation.

It is this interpretation that determines whether the budget is spent on searches with genuine commercial value or on traffic that appears relevant but does not convert.

The search term report remains the most important checkpoint

If an account is spending too much money without delivering enough value, the search terms report is still one of the first places you should look.

This is where you can see whether Google actually returns results for the types of searches you had in mind. And this is often where problems become apparent.

In practice, you often see accounts where a keyword looks strong on paper, but where the actual traffic comes from searches with low or misguided intent. This is particularly true in sectors where the same word can be used by users ready to buy, job seekers, students and people who are simply doing research.

That is also why match types should not be assessed in isolation. They should be assessed in relation to the search terms they actually trigger.

Exact match makes it easier to read the account correctly

One of the major advantages of exact match is not just control; it is also data quality.

When keywords are more closely aligned with actual search queries, it becomes easier to understand what drives performance. You get clearer signals to base your optimisation on. This makes it easier to fine-tune bids, ad copy and landing pages more precisely.

This is particularly useful in accounts where you work closely with commercial searches such as:

• local services
• high-value services in B2B
• specific product categories
• searches with a clear intention to make a decision

In this context, exact match is often less spectacular than broader match types, but more reliable.

However, exact match is no longer a closed system

It is important to be honest about how Google Ads works today. Exact match does not provide total control. Google still matches close variations and searches that are deemed to have the same intent.

In some accounts, this is an advantage. In others, it creates noise. That is why exact match is still best understood as “tighter control” rather than “full control”.

This is also where many advertisers become too conservative. They believe that ‘exact’ alone protects the account. It doesn’t. If the search terms aren’t monitored, even ‘exact’ campaigns can start to go off track.

Phrase match is useful, but often more risky than it seems

Phrase match is often described as the happy medium. More flexible than exact match, but still more controlled than broad match. That’s generally fair enough. The problem is that many accounts treat phrase match as if it were far more precise than it actually is.

In practice, phrase match can be quite broad in some sectors. This is particularly true when searches are semantically related, or when Google assesses that the search intent is similar. This means that phrase match can be powerful, but it can also cause an account to be penalised far more quickly than many people expect.

Phrase match is good for discovery

When phrase match is used correctly, it is often used as a discovery tool. Not as a passive default setting.

The great advantage is that this match type can capture variations you hadn’t anticipated yourself. These might include longer search terms, new combinations or phrasing that the target audience actually uses, but which aren’t already set as exact matches in the account.

This is particularly valuable when:

• The account is new
• search volume is limited
• The market uses many variations
• you will find new Exact candidates
• there is probably not enough data to make firm decisions

In such situations, phrase match is often a better tool for learning than for long-term monitoring.

Phrase match requires more tidying up than many people realise

A common mistake is to enable phrase match and assume that the account will then automatically identify the best search terms. This rarely happens without incurring costs.

In practice, it is often the case that phrase campaigns without strong negative keywords start to attract increasingly mixed traffic. Not necessarily completely irrelevant traffic, but traffic with lower commercial value. And this is often worse, because it can appear relevant at first glance.

This is where many accounts gradually lose their effectiveness. Not because phrase match is the wrong approach, but because it’s left too open for too long.

The most important strategic issue is not the match type alone

The main mistake in many accounts is not that they use the wrong match type. It is that the match type does not fit in with the rest of the account.

Exact match in an account with insufficient volume can unnecessarily limit learning. Phrase match in an account that hasn’t been tidied up can make the search term report a mess within a few weeks. Broad match in an account without strong signals can burn through the budget faster than management realises.

The match type should therefore not be chosen on the basis of theory alone. It should be chosen on the basis of:

• budget level
• cost per click
• data volume
• maturity in smart bidding
• the power of conversion tracking
• the difference between high and low market sentiment

The strongest set-up typically uses several match types with different roles

In practice, the most robust accounts rarely look straightforward. They often use several match types at the same time, but for different purposes.

Exact match is used for searches that have already proven their worth. Phrase match is used to identify new variations and gain further insights. Broad match is used in some accounts as an additional layer of growth, but only when the foundation is strong enough.

The important thing is not to give all match types equal prominence. The important thing is to give them the right role.

A common error we see in accounts

One of the most common mistakes is allowing phrase match to account for too large a proportion of the account. This often happens because, initially, phrase match generates more traffic and more conversions. It looks promising. But over time, the search terms start to broaden, and the CPA rises gradually.

The opposite mistake also occurs. Exact campaigns become so narrow that they barely gather enough data to evolve. This keeps the account clean, but also makes it inflexible.

This is typically where the best results are achieved: not by choosing one match type as the definitive one, but by using them in different ways and adjusting according to what the data actually shows.

A concrete example

Imagine a B2B account for commercial cleaning in Copenhagen.

If you only use exact match for searches such as “commercial cleaning Copenhagen”, you’ll achieve high relevance, but also limited learning. You’ll probably attract the most obvious buyers, but you won’t necessarily realise that searches such as “office cleaning company Copenhagen” or “cleaning contract business Copenhagen” perform just as well.

If you only use phrase match, you’ll get higher search volume and more variations. However, you also risk paying for searches related to jobs, prices, salaries or general information if your negative keywords aren’t specific enough.

In many cases, the most effective solution will be:

• phrase match for discovery
• exact matches for the searches that have proven their worth
• ongoing negative keywords
• possibly broad match at a later stage, if volume and data quality allow

It’s rarely any more complicated than that. But it does require discipline.

What offers the most value?

If the aim is tight control and high commercial relevance, exact match often delivers the most value.

If the aim is to identify new search terms and build up search volume, phrase match often offers the greatest value.

If the account is mature, the tracking is robust and Smart Bidding has enough signals, broad match can, in some cases, drive additional growth.

For most advertisers, the right approach is therefore not to choose a single match type and stick to it. It is to understand the role each type should play within the account, and how much leeway Google should actually be given.

Does your Google Ads account have the correct match type structure?

Many accounts do not, in theory, use the wrong match types. They simply use them incorrectly in practice.
That is where the budget becomes less effective than it ought to be.

If you want to get more out of your Google Ads, it’s worth taking a closer look at:

• which search terms are actually using up the budget
• whether phrase match is too broad
• whether exact-match campaigns have become too narrow
• whether broad match is being used too early or too indiscriminately
• whether negative keywords are strong enough
• Smart bidding ensures they receive the right signals

Get an assessment of your current Google Ads structure

At Siite, we help businesses set up Google Ads accounts where match types, bidding strategies and search intent are better aligned.

If your account is generating clicks but not getting enough value from them, we’d be happy to review your structure and assess where you’re losing relevance, learning or budget control.

Would you like to know whether your account is using exact match, phrase match and broad match correctly?
We’d be happy to take a look at your current setup and provide specific feedback on where the structure could be improved.