How to Choose the Right Match Type for Quality Score: A Step-by-Step Guide

TL;DR: Match type selection directly affects your Quality Score by influencing ad relevance, expected CTR, and landing page experience. Choosing the wrong match type can tank your QS, inflate your CPCs, and drain your budget on irrelevant traffic. This guide walks you through exactly how to audit your current setup, evaluate each match type's impact on Quality Score, and make smarter decisions—step by step.

Whether you're a solo advertiser or managing multiple client accounts, understanding how to choose match type for Quality Score is one of the highest-leverage moves you can make in Google Ads. We'll cover how broad, phrase, and exact match types each interact with Quality Score components, how to read your search terms report to spot mismatches, and how to apply the right match type at the right time.

No fluff. Just a practical workflow you can start using today.

Step 1: Understand How Match Types Affect Quality Score Components

Before you touch a single keyword, you need to understand the mechanics. Quality Score is Google's 1–10 diagnostic rating that reflects the quality of your ads, keywords, and landing pages relative to other advertisers. It's built from three components: expected CTR, ad relevance, and landing page experience. Match type influences all three—more than most advertisers realize.

Here's how the scoring breaks down. Each component gets rated as "Above Average," "Average," or "Below Average." A keyword scoring 7 or above typically indicates strong alignment across the board. A score of 4 or below is a red flag—you're likely paying more per click than you should be, and your ads are probably showing for searches that don't fit.

Now let's connect match types to each component directly.

Expected CTR: This measures how likely your ad is to get clicked when it's shown. Broad match casts a wide net and often triggers queries that are loosely related to your keyword. When your ad appears for irrelevant searches, users don't click—and those non-clicks drag your expected CTR score down over time. It's a slow bleed that's easy to miss until your CPCs start climbing.

Ad Relevance: This measures how closely your keyword matches the intent of the user's search. Exact match makes this relationship predictable and tight. When you know exactly what query is triggering your ad, you can write copy that speaks directly to it. Broad match introduces variability—your ad might show for a dozen different intents, making it nearly impossible to write copy that scores well on relevance for all of them.

Landing Page Experience: Match type affects this indirectly. If broad match is sending users with mismatched intent to your landing page, they'll bounce. Google picks up on that signal. Tighter match types mean more consistent intent, which means your landing page is more likely to feel relevant to the visitor.

Here's the core motivation for getting this right: a low Quality Score means you pay more per click for the same ad position. Google's auction rewards relevance. Higher QS advertisers can outrank competitors while paying less. Poor match type selection is often the root cause of a low QS, and it's also one of the most controllable variables in your account.

One important nuance: Google no longer uses Quality Score directly in the real-time ad auction. The auction uses real-time signals. But QS is still a reliable diagnostic indicator of how well your keywords, ads, and landing pages are aligned—and improving it almost always correlates with better auction performance.

Step 2: Audit Your Current Match Types and Quality Score Data

In most accounts I audit, QS data is sitting right there in Google Ads and nobody's looked at it in months. Let's fix that.

Start by navigating to the Keywords tab in your Google Ads account. By default, Quality Score columns aren't shown—you need to add them manually. Click the columns icon, search for "Quality Score," and add these four columns: Quality Score, Ad Relevance, Expected CTR, and Landing Page Experience. Save the view.

Now sort by Quality Score ascending. You want your worst-performing keywords at the top. This is where your budget is bleeding.

Next, look at the match type column alongside each QS rating. Start spotting patterns. In most accounts, you'll see something like this: broad match keywords clustering at QS 3–5, with "Below Average" ratings on ad relevance and expected CTR. Exact match keywords sitting at QS 6–8 with "Above Average" or "Average" ratings. That pattern is telling you something direct about how match type is affecting performance.

Flag any keyword that meets both of these criteria: QS of 4 or below, and it's running on broad or phrase match. These are your priority candidates for match type adjustment. Understanding what causes low Quality Score in the first place will help you prioritize which adjustments to make first.

After reviewing the keywords tab, pull your Search Terms Report. Go to Keywords, then Search Terms. This report shows you the actual queries that triggered your ads. This is where the real story lives.

Look at the search terms associated with your low-QS keywords. Are they semantically aligned with your keyword and ad copy? Or are they all over the place? If you're seeing a wide range of loosely related queries, that's your match type being too loose for that keyword's context.

This audit can get time-consuming, especially if you're managing multiple campaigns or client accounts. Tools like Keywordme let you work through this directly inside the Search Terms Report in Google Ads, without exporting to spreadsheets or jumping between tabs. One-click actions for adding negatives and adjusting match types make the cleanup significantly faster.

The goal of this step is simple: know exactly which keywords have a QS problem, understand which component is dragging the score down, and identify whether match type is the likely culprit. That context drives everything in the next steps.

Step 3: Map Match Types to Search Intent and Funnel Stage

Here's where the strategic thinking comes in. Not every keyword should be exact match—but every keyword should have a deliberate match type choice based on intent and funnel stage. The mistake most agencies make is defaulting to broad match for reach and then wondering why their QS is suffering. A solid understanding of how to choose the right match type for each campaign goal is what separates accounts that scale from those that stall.

Think of it this way:

Exact Match = Bottom-Funnel, High-Intent Queries. These are searches where you know exactly what the user wants. Something like [buy running shoes size 10] or [project management software free trial]. The intent is clear, the query is predictable, and you can write ad copy that speaks directly to it. Exact match on your proven converters almost always produces the strongest QS because the search-to-keyword-to-ad alignment is tight. Protect these keywords. They're your foundation.

Phrase Match = Mid-Funnel Discovery. Phrase match gives you flexibility while preserving the core intent of your keyword. A phrase match keyword like "running shoes for flat feet" will capture variations around that central idea without completely opening the floodgates. It's a reasonable middle ground when you want to expand reach but still maintain enough relevance to write focused ad copy. Just know that your ad relevance score will be slightly harder to optimize here compared to exact match.

Broad Match = Top-of-Funnel Exploration. Broad match has its place, but it's not a default. Use it when you're deliberately prospecting for new keyword ideas, when you have smart bidding strategies running with strong conversion data, and—this part is non-negotiable—when you have a robust negative keyword list in place. Without negatives, broad match will find every irrelevant query it can and send traffic your way. Your expected CTR component will tank as impressions pile up without proportional clicks.

A practical framework that works well in most accounts: start with exact match on your known converters, layer in phrase match to expand into adjacent queries, and use broad match only in dedicated prospecting campaigns with their own budget and aggressive negative keyword management.

To make this concrete: a keyword like [project management software] in exact match will almost always outperform "project management" in broad match on both ad relevance and CTR. The exact match version tells you precisely what the user wants. The broad match version might trigger searches like "project management certification courses" or "project management books"—completely different intents, and your ad copy can't serve all of them well at once.

The takeaway: match type is your intent filter. Use it deliberately.

Step 4: Use Your Search Terms Report to Validate Match Type Decisions

The Search Terms Report is your ground truth. Everything else in this guide is theory until you validate it here.

Pull the report for a keyword you've identified as having a QS problem. Look at the actual queries it's triggering. Ask yourself: if someone searched this exact phrase and saw my ad, would they click? Would my landing page feel relevant to them? If the answer is "probably not" for a significant portion of the queries, your match type is too loose.

A rough rule of thumb: if more than 20–30% of the search terms triggering a keyword feel semantically distant from your ad group theme, your match type is likely contributing to a QS problem. This isn't a hard scientific threshold—it's a gut-check signal that something needs tightening. Learning how to optimize match types using the Search Terms Report is one of the most direct ways to improve your QS components systematically.

Here's the two-sided workflow once you're in the report:

Identify high-performing search terms. Look for queries with strong CTR or conversion data. These are gold. If a specific search term is consistently driving good results, consider adding it as an exact match keyword in its own tightly themed ad group. This locks in the QS signal, lets you write copy tailored to that exact query, and prevents it from getting diluted by the broader match type bucket.

Identify irrelevant search terms and add them as negatives immediately. This is how you protect your expected CTR score. Every time your ad shows for a query it won't win—because the intent doesn't match—you're accumulating non-clicks that suppress your CTR signal. Adding negatives stops that bleed. It's one of the most direct actions you can take to improve Quality Score with negative keywords.

What usually happens here is that advertisers do one big cleanup and then let the report drift for weeks. Search behavior evolves, new queries emerge, and the mess builds back up. This is why the review cadence in Step 6 matters.

If you're managing multiple campaigns, doing this manually in the native interface can be slow. Keywordme is built specifically for this workflow—you can add keywords with match types and push negatives directly from the Search Terms Report with single clicks, without leaving Google Ads or opening a spreadsheet. For agencies reviewing multiple accounts, that speed difference adds up fast.

Success indicator for this step: after a thorough cleanup of negatives and match type adjustments, your expected CTR component should start improving within two to four weeks as irrelevant impressions drop off and your click rate on remaining impressions improves.

Step 5: Structure Ad Groups to Align Match Types with Ad Copy

This is one of the most overlooked Quality Score levers in the entire guide. Your ad copy must closely match your keyword—and match type determines how predictable that relationship is.

Think about what happens with a broad match keyword in a general ad group. The keyword might trigger 50 different query variations. Your ad copy has to cover enough ground to feel relevant to all of them, which means it ends up being generic. Generic ad copy scores poorly on ad relevance. It's a structural problem, not a copywriting problem.

The solution is tighter ad group structure. Single Keyword Ad Groups (SKAGs) or tightly themed ad groups built around exact match keywords make it easy to write hyper-relevant copy. When you know exactly what query is triggering your ad, you can mirror the language directly in your headlines and descriptions. That tight alignment is what drives "Above Average" ad relevance ratings. For a deeper look at how to build this out at scale, structuring multi match type campaigns covers the architecture in detail.

A recommended structure that works well in practice: group your exact match keywords by tight theme, write ad copy that mirrors the keyword as closely as possible, and run phrase match in separate ad groups specifically for expansion. Keep the two separate so you can write appropriate copy for each intent range.

Dynamic Keyword Insertion (DKI) can help with phrase match ad groups by pulling the triggering query into your headline automatically. It's a useful tool for maintaining relevance across a range of phrase match variations. Use it carefully, though—DKI can produce awkward or irrelevant headlines if your keyword list isn't tightly curated. Test it, don't just deploy it blindly.

Here's a practical scenario: you have a keyword with a QS of 5 sitting in a mixed match type ad group alongside a dozen other keywords. Before you write it off, try isolating it in its own ad group with exact match and copy written specifically for that keyword's intent. In many cases, that structural change alone moves the QS needle. The keyword wasn't the problem—the context it was living in was. This is also a good moment to review how to write ads for match type variants so your copy strategy keeps pace with your structural changes.

The principle is simple: the more predictable the query, the more targeted your copy can be, and the higher your ad relevance score. Match type is the mechanism that controls query predictability.

Step 6: Monitor, Test, and Refine Match Types Over Time

Match type optimization isn't something you do once and forget. Search behavior shifts, competition changes, and Google's match type algorithms continue to evolve. What worked six months ago might be drifting today.

Set a recurring audit cadence. For active campaigns with significant spend, a weekly check of QS changes and search term drift is worth the time. For more stable campaigns, bi-weekly works. The goal is to catch degradation early before it compounds into a CPC problem.

Watch for these QS degradation signals: rising CPCs on keywords that were previously stable, falling impression share, or a declining CTR trend on keywords that used to perform well. These are often early indicators that your match type is attracting increasingly irrelevant traffic, or that competitors are tightening their targeting and winning more relevant impressions. Understanding how match types impact CPC helps you connect these signals to specific match type decisions before the damage compounds.

For testing, consider running the same keyword in exact match versus phrase match in separate ad groups with equal budget allocation. After two to three weeks, compare QS ratings, CTR, and conversion rate. This kind of structured test gives you real account-specific data rather than relying on general industry assumptions. Every account behaves differently.

Use Google Ads' change history to correlate QS changes with match type adjustments. This builds your institutional knowledge over time. When you can see that a specific match type change led to a QS improvement two weeks later, you start developing pattern recognition that makes future decisions faster and more confident. Pairing this with a formal approach to running A/B tests on keyword match types gives you a repeatable system for continuous improvement.

For agencies managing multiple client accounts, the challenge is consistency. It's easy for the match type review process to fall through the cracks on smaller accounts when you're busy with larger ones. Standardizing your review workflow across clients—and using tools like Keywordme's multi-account support to move through search terms reviews efficiently—keeps everything on schedule without the overhead of manual tab-switching and spreadsheet work.

The mindset shift here: treat match type optimization as an ongoing signal-reading exercise, not a setup task. The accounts that maintain strong Quality Scores over time are the ones where someone is regularly checking the search terms report and making small, consistent adjustments.

Putting It All Together: Your Match Type + Quality Score Checklist

Here's a quick reference covering everything in this guide:

1. Understand the QS components. Expected CTR, ad relevance, and landing page experience are all influenced by match type. Tighter match types give you more control over relevance signals.

2. Audit your current setup. Add QS columns to your Keywords tab, sort by QS ascending, and flag keywords with QS 4 or below on broad or phrase match. Pull the Search Terms Report to understand what's actually triggering those keywords.

3. Match types to intent. Exact match for proven converters and high-intent bottom-funnel terms. Phrase match for mid-funnel expansion. Broad match only with smart bidding and a strong negative keyword list.

4. Validate with the Search Terms Report. Promote high-performing queries to exact match keywords. Add irrelevant queries as negatives immediately to protect your expected CTR score.

5. Align ad group structure with match types. Tightly themed ad groups with exact match keywords make it possible to write highly relevant ad copy. Keep phrase match expansion in separate ad groups.

6. Monitor and test continuously. Set a recurring audit cadence, watch for degradation signals, and A/B test match types when you have enough data to do it properly.

The compounding effect is worth emphasizing: better Quality Score means lower CPCs, which means your budget goes further, which means more clicks and conversions for the same spend. It builds on itself over time.

If you want to move through the search terms review and match type application workflow faster, Start your free 7-day trial of Keywordme—it lets you remove junk search terms, apply match types, and build negative keyword lists with single clicks directly inside Google Ads. No spreadsheets, no tab-switching, just faster optimization right where you're already working. After the trial, it's $12/month per user.