How to Optimize Match Types Using the Search Terms Report (Step-by-Step)

Your search terms report is one of the most underused tools in Google Ads. Most advertisers check it occasionally, maybe when they notice spend spiking, but very few treat it as the strategic decision-making tool it actually is.

TL;DR: The search terms report shows you exactly what people typed before clicking your ad. That data tells you which match types to tighten, which keywords to add, and which searches to block. This guide walks you through a repeatable, practical workflow for using the search terms report to make smarter match type decisions—no spreadsheets required.

Here's the thing: match type decisions shouldn't be made in a vacuum. You can't just pick broad, phrase, or exact at campaign launch and walk away. The search terms report is your feedback loop. It shows you whether your match types are doing their job or quietly bleeding your budget on searches that have nothing to do with your business.

Whether you're a freelancer managing a handful of accounts or an agency juggling dozens of clients, this process will help you cut wasted spend and sharpen your keyword strategy fast. We'll cover how to read the report properly, how to categorize what you find, how to act on it without second-guessing yourself, and how to build a workflow that keeps your campaigns clean on an ongoing basis.

Let's get into it.

Step 1: Understand What the Search Terms Report Is Actually Telling You

Before you can use this report effectively, you need to be clear on a distinction that trips up a lot of advertisers: keywords and search terms are not the same thing.

A keyword is what you bid on. A search term is what a real person actually typed into Google before clicking your ad. These two things can be identical, or they can be completely different—and that gap is exactly where wasted spend lives.

Your match type determines how wide or narrow that gap is. Here's how each one behaves in practice:

Broad Match: Your ad can show for searches related to your keyword, including synonyms, related concepts, and variations that Google's AI deems relevant. This casts the widest net. In most accounts I audit, broad match is where you find both the most interesting new keyword opportunities and the most embarrassing irrelevant traffic.

Phrase Match: Your ad shows for searches that include the meaning of your keyword. The core intent needs to be present, but there's still some flexibility around it. This is a middle ground that works well once you have a clearer picture of how people are searching.

Exact Match: Your ad shows for searches that match the meaning or intent of your keyword closely. Close variants still apply, but you're working with a much tighter filter. This is where you put your proven, high-converting terms.

The search terms report shows you the result of all this. It surfaces the actual user queries that triggered your ads. One important caveat: Google doesn't show you every query. Low-volume or privacy-restricted terms get filtered out, so the report is a sample, not a complete picture. But it's still the most actionable data you have.

The common pitfall here is treating your keyword list as if it represents what users are actually searching for. It doesn't. Your keyword list represents your intentions. The search terms report represents reality. Understanding the difference between search terms and keywords is foundational to every match type decision you make.

Step 2: Pull and Filter Your Search Terms Report the Right Way

Finding the report is straightforward: in Google Ads, navigate to Campaigns > Keywords > Search Terms. Depending on your UI version, you may also see a Search Terms tab directly within your campaign view. Either path gets you there.

The first thing most people get wrong is the date range. If you're looking at seven days of data, you're making decisions on noise. A minimum of 30 days is workable, but 60 to 90 days gives you a much more reliable signal, especially for lower-traffic campaigns. You need enough data to see patterns, not just outliers.

Once you've set your date range, make sure you have the right columns enabled. The ones that matter most for match type optimization:

Search term: The actual query. This is your raw material.

Match type: Which of your keywords triggered this search term, and what match type was it on. This context changes how you interpret the data.

Clicks: How many times someone clicked after seeing your ad for this query.

Impressions: How often your ad showed for this query.

CTR: A low CTR on a high-impression term often signals a relevance mismatch.

Conversions and Cost: The most important columns for prioritization. High cost with zero conversions is a red flag. High conversions at a good CPA is a green flag.

Conv. value: If you're tracking revenue or lead values, this helps you spot your highest-value search terms quickly.

Once your columns are set, sort by Cost descending. This puts the search terms that are eating the most budget at the top, which is where you should focus first. You can also sort by Clicks if you want to see volume before spend.

One more thing: segment by campaign or ad group before diving in. Mixing search terms from a branded campaign with those from a generic one, or blending a high-intent bottom-funnel campaign with a broad awareness campaign, creates noise. If you want to analyze your search terms report efficiently, keeping campaigns segmented is one of the most important habits to build.

Step 3: Categorize Search Terms into Three Buckets

This is where the actual thinking happens. Once you've pulled your report and sorted it, go through the terms and assign each one to one of three buckets. This simple framework keeps the process fast and prevents analysis paralysis.

Bucket 1: Promote

These are high-intent search terms that are either already converting or are clearly aligned with what you're selling. They should be added as keywords with a tighter match type—typically exact or phrase match—so you can control bidding and ad copy for these specific queries.

What usually happens here is that a broad match keyword is doing a decent job of capturing these terms, but you're not able to bid on them specifically or write ad copy that matches the exact intent. Promoting them to their own keyword gives you that control. Learning how to add converting search terms as keywords is one of the highest-leverage actions you can take from this report.

Bucket 2: Monitor

These are relevant search terms that haven't converted yet but aren't obviously wrong either. Maybe they're newer, or the volume is low, or the intent is adjacent to what you're targeting. Don't act on these yet. Flag them and check back in your next review cycle. Premature decisions based on thin data cause more problems than they solve.

Bucket 3: Block

These are the terms you need to add as negative keywords. They're irrelevant, off-topic, or clearly from an audience that won't convert for your offer. This is where you cut waste.

A practical example: say you're running ads for a project management software product. Your broad match keyword "project management software" starts triggering impressions for "free project management templates." That's a Block. The person searching for free templates is not in the market for a paid software subscription. If you leave it running, you're paying for clicks that will never convert.

Match type context matters when you're categorizing. A search term triggered by a broad match keyword that's already spending heavily is more urgent to address than the same term triggered by a phrase match keyword with minimal impressions. The match type column in your report tells you which of your keywords opened the door to each search term—use that information.

Step 4: Apply the Right Match Type Based on What You Find

Now you act on your buckets. Here's how to think through the match type decision for each scenario.

When to upgrade to Exact Match: A search term has a solid conversion history, the intent is tight, and you want full control over bidding and ad copy for that specific query. Exact match is your way of saying, "I know this works—let me optimize specifically for it." Add it as an exact match keyword and consider adjusting bids up if the CPA is strong.

When to use Phrase Match: The intent is clear but there are natural variations you want to capture. For example, if "project management software for teams" is converting, phrase match lets you also capture "best project management software for remote teams" without you having to add every variation manually. It's a good middle ground for terms where you're confident in the core intent but want some flexibility.

When to keep or move to Broad Match: Early in a campaign when you're still gathering data, or when you need volume to find new keyword opportunities. Broad match is a discovery tool. Use it intentionally, not by default.

The match type tightening workflow follows a natural progression: broad match to discover, phrase match to refine, exact match to lock in. As your confidence in a term grows, you move it down the funnel toward tighter control. Understanding how match types affect search term targeting helps you make these decisions with confidence rather than guesswork.

To add a search term as a keyword directly from the report, check the box next to the term and use the "Add as keyword" option. You can set the match type and destination ad group right there. This is important for Quality Score: when a keyword matches the actual search query closely, Google tends to reward you with better ad rank at lower cost.

The mistake most agencies make is going too aggressive with exact match too early. If you lock down every converting term as exact match in week two of a campaign, you can strangle your reach and volume before you've had a chance to discover what else might be working. Balance tightening with leaving room to learn.

Step 5: Build and Apply Your Negative Keyword List

Your Bucket 3 terms are your raw material for negative keywords. This step is where you protect your budget from searches that will never convert for your offer.

Before you start adding negatives, think about match type for the negatives themselves. This is an area where a lot of advertisers make costly mistakes.

Negative Exact Match: Blocks only that specific query. Use this when you want to block a precise term but don't want to accidentally exclude related searches that might be relevant.

Negative Phrase Match: Blocks any search containing that phrase. Use this for broader exclusions—for example, adding "free" as a negative phrase match will block any search that includes the word "free." This is powerful but needs to be applied carefully, because it can block more than you intend. Understanding how match types work for negative keywords is essential before you start applying them at scale.

Campaign-level negatives apply across all ad groups within that campaign. Ad group-level negatives are more surgical. A practical rule: if a term is irrelevant to your entire campaign, add it at the campaign level. If it's only irrelevant in a specific ad group context, keep it at the ad group level.

A real-world example: if you're selling a premium product and terms like "free," "DIY," "cheap," or "budget" keep appearing in your search terms report, adding these as negative phrase match at the campaign level is a quick way to cut low-quality traffic across the board.

You can add negatives directly from the search terms report in Google Ads. Check the box next to the term, select "Add as negative keyword," and choose your match type and level (campaign or ad group). No export required.

For agencies managing multiple clients, shared negative keyword lists are a time-saver. You build a list once in Google Ads and apply it across multiple campaigns simultaneously. If you're seeing the same junk terms across different client accounts in the same vertical, a shared list means you only have to add them once.

Step 6: Make This a Weekly Workflow, Not a One-Time Fix

Here's something that catches a lot of advertisers off guard: match type optimization is not a setup task. It's an ongoing process. Google's broad match in particular keeps expanding over time as the algorithm updates its understanding of relevance. What was a clean, well-targeted campaign last month can develop new irrelevant traffic patterns by next month.

The recommended review cadence for most accounts is weekly for active campaigns with meaningful spend, and bi-weekly for lower-spend accounts where data accumulates more slowly. If you're unsure how to set the right schedule, this guide on how often you should review the search terms report breaks down the decision by account size and spend level. Skipping reviews for a month on a high-spend broad match campaign is how you end up with a nasty surprise when you look at where the budget actually went.

In each weekly session, focus on three things:

New high-spend search terms: Any term that's consumed significant budget since your last review. These need immediate categorization.

New converting terms: Fresh opportunities to promote to exact or phrase match keywords, or to refine your ad copy and bidding.

Newly irrelevant terms: Search behavior shifts over time. A term that was borderline relevant six months ago might now be clearly off-target based on your conversion data.

Keyword clustering is useful here. Instead of reviewing every search term in isolation, group similar terms together to spot patterns. If you're seeing a cluster of searches around a theme that you hadn't anticipated, that's a signal worth acting on—either by creating a new ad group targeting that intent, or by blocking the whole cluster if it's off-target.

For agencies scaling this across multiple client accounts, the manual approach of exporting to spreadsheets and working through them one by one becomes a bottleneck fast. Managing the search terms report across multiple accounts requires a more systematic approach, and this is where tools that integrate directly into the Google Ads interface make a real difference. Keywordme, for example, lets you do all of this—adding keywords, applying match types, blocking negatives—with one-click actions inside the search terms report itself. No tab switching, no spreadsheet juggling. It's built specifically for the workflow we've described in this guide, and it's particularly useful when you're managing multiple accounts and need to move quickly without sacrificing accuracy.

Frequently Asked Questions

How often should I review the search terms report?

Weekly for active campaigns with meaningful spend. Bi-weekly is acceptable for lower-spend accounts. The key is consistency—irregular reviews mean you're always catching problems late rather than preventing them.

What's the difference between a search term and a keyword in Google Ads?

A keyword is what you bid on. A search term is what a user actually typed before clicking your ad. Your match type determines how closely the two need to align. Broad match creates the widest gap between keyword and search term; exact match creates the narrowest.

Should I add every converting search term as an exact match keyword?

Not necessarily. Before tightening match type, consider the volume. A search term that's converted once on low impressions may not have enough data to justify adding it as a standalone exact match keyword. Focus on terms with consistent conversion history and meaningful volume. Going too aggressive with exact match too early can reduce your reach before you've fully mapped out the search landscape.

Can I optimize match types without leaving Google Ads?

Yes. Google Ads lets you add search terms as keywords or negatives directly from the search terms report. If you want to speed this up significantly, tools like Keywordme enable one-click actions for adding keywords, applying match types, and blocking negatives—all inside the native Google Ads interface, without exporting anything.

What match type should I use for new campaigns?

Start with broad or phrase match to gather data. New campaigns need volume to generate meaningful search term data. Once you've identified which queries are converting and which are wasting budget, you can tighten match types based on evidence rather than assumptions.

How do I stop paying for irrelevant clicks in Google Ads?

Regular search terms report reviews combined with a well-maintained negative keyword list is the core answer. Tightening match types on your core keywords is the second layer. If you're consistently seeing irrelevant traffic, it's usually a sign that your match types are too loose and your negative keyword list is underdeveloped. A weekly review habit fixes this over time.

Your Action Checklist

If you want to start applying this workflow today, here's the sequence to follow:

1. Pull your search terms report with at least 60 days of data and enable the key columns: search term, match type, clicks, impressions, CTR, conversions, cost, and conversion value.

2. Sort by spend descending so you're working on the highest-impact terms first.

3. Go through the list and categorize each term into Promote, Monitor, or Block.

4. Add your Promote terms as exact or phrase match keywords directly from the report, assigned to the appropriate ad group.

5. Add your Block terms to your negative keyword list, choosing the right match type (exact or phrase) and level (campaign or ad group) for each.

6. Set a recurring calendar reminder to repeat this process weekly for active campaigns.

That's the whole workflow. It's not complicated, but it does require consistency. The accounts that stay clean and efficient are the ones where someone is checking the search terms report regularly and acting on what they find.

If you want to make this faster, Keywordme is built for exactly this. It puts one-click actions for adding keywords, applying match types, and blocking negatives right inside the Google Ads search terms report. No spreadsheets, no switching tabs, no copy-pasting. Just faster, cleaner optimization directly where you're already working. Start your free 7-day trial and see how much time you get back on your next search terms review.