How to Optimize Google Ads Search Queries: A Step-by-Step Guide

Most Google Ads wasted spend doesn't come from bad keywords. It comes from bad search queries triggering those keywords.

That distinction matters more than most advertisers realize. A keyword is what you bid on. A search term (sometimes called a search query) is what someone actually typed into Google before your ad appeared. These two things are often very different, and that gap is where budget quietly drains away.

Think of it this way: you're bidding on the keyword "project management software," but your ad is showing up for searches like "free project management software for students" or "what is project management software used for." Neither of those is likely to convert for a paid B2B tool. But you're still paying for the clicks.

Google's matching behavior has evolved significantly. Broad match keywords in particular can now trigger a wide range of queries, especially when paired with Smart Bidding. That flexibility can work in your favor, but only if you're actively managing which queries you're showing up for and which ones you're blocking.

This guide walks you through a repeatable process for auditing and optimizing your search queries. You'll learn how to pull the right data, categorize queries by intent, build smarter negative keyword lists, promote high-performing terms to exact or phrase match, and tighten up your match type strategy. The same core workflow applies whether you're managing a single campaign or dozens of client accounts.

By the end, you'll have a clear, actionable system for turning your Search Terms Report from a passive data dump into an active optimization lever. Let's get into it.

Step 1: Pull Your Search Terms Report the Right Way

Before you can optimize anything, you need to see what you're actually paying for. The Search Terms Report is where that data lives, but a lot of advertisers either don't look at it regularly or pull it in a way that buries the most important information.

To access it in Google Ads, navigate to your campaign or ad group, then look for the Keywords section and select the Search terms tab. Note that this is a different view from the Keywords tab itself. The Keywords tab shows you what you're bidding on. The Search terms tab shows you what users actually typed. Conflating these two is one of the most common points of confusion for newer advertisers.

Once you're in the report, the first thing to do is set your date range. A minimum of 30 days gives you enough data to spot patterns. For lower-traffic accounts, 60 to 90 days is a better starting point—otherwise you're making decisions based on too few impressions and clicks to be meaningful.

Next, sort by cost descending. This surfaces the search terms that have consumed the most budget, which is exactly where you want to start. Expensive queries with no conversions are your highest-priority cleanup targets.

You can also apply a filter for terms with zero conversions above a certain cost threshold. What that threshold is depends on your account, but a common approach is to flag any term that has spent more than your target cost-per-acquisition without generating a single conversion.

One honest limitation worth acknowledging: not every search term is visible in this report. Google groups some lower-volume queries under "Other search terms" due to privacy thresholds. The exact rules governing this aren't publicly documented in detail, but it means your report will never show you 100% of the queries triggering your ads. Work with what you can see, and don't assume the visible data is the complete picture.

Success indicator: You have a filtered, date-scoped report showing your highest-cost and lowest-performing search terms, sorted in a way that makes your biggest problems visible immediately.

Step 2: Categorize Queries by Intent and Relevance

Once you have your report pulled, resist the urge to start adding negatives immediately. The more useful move is to sort every query into one of three buckets first, then act. Moving too fast here is how you accidentally block relevant traffic.

Bucket 1: High-intent, relevant queries. These are search terms you want to keep and potentially promote. Look for transactional language like "buy," "pricing," "hire," "near me," or "get a quote." Specific product or service terms belong here too, as do branded queries for your own brand. If someone searched your company name and clicked your ad, that's a signal worth paying attention to.

Bucket 2: Irrelevant or off-topic queries. These are candidates for negative keywords. Common low-intent signals include informational phrases like "what is," "how does," or "explained," queries with "free" when you're selling a paid product, competitor brand names you don't have a deliberate strategy around, and searches for entirely unrelated product categories. A search term like "google ads tutorial free" triggering an ad for paid PPC software is a clear example of a term that should be excluded. The person searching that isn't looking to buy anything right now.

Bucket 3: Borderline queries. These require more judgment. A term might be loosely related to what you offer but not quite right for the specific ad group it's triggering. Or it might have a reasonable click-through rate but a cost-per-conversion that's too high relative to your target CPA. Don't just look at whether a term converted—look at how efficiently it converted. A term with five conversions at three times your target CPA is still a problem.

For borderline terms, the question isn't always "should I exclude this?" Sometimes it's "is this in the right ad group?" or "is the match type too loose?" Those are different problems with different solutions.

Work through your report systematically. You don't need to categorize every single query in one session—start with the highest-spend terms and work your way down.

Success indicator: Every query in your report is assigned to one of the three buckets, with the highest-spend irrelevant terms clearly identified and ready for the next step.

Step 3: Build and Apply Your Negative Keyword List

Now that you know which queries to exclude, the next decision is how to exclude them. This is where a lot of guides skip over an important nuance: negative match type selection.

Negative keywords work differently from positive keywords. You have three options: exact negative, phrase negative, and broad negative (though broad negative match is rarely the right choice and carries real risk of over-blocking).

Exact negative blocks a specific query only when it matches that exact term. Use this for specific junk terms that are clearly irrelevant but where you don't want to risk blocking related queries. For example, adding [free google ads tutorial] as an exact negative blocks that specific search without affecting other "free" queries.

Phrase negative blocks any query containing that phrase. This is more efficient when you're seeing a pattern—for example, if multiple queries containing the word "free" are all irrelevant, adding "free" as a phrase negative blocks the whole pattern at once. Just be careful: phrase negatives are powerful, and a poorly chosen one can quietly eliminate a lot of valid traffic.

On the question of where to apply your negatives: Google Ads lets you add them at the campaign level or ad group level, and you can also create shared negative keyword lists under Tools and Settings in the Shared Library. Shared lists are worth setting up if you manage multiple campaigns or accounts where the same exclusions apply. You add the terms once and apply the list wherever it's relevant, which saves significant time during ongoing maintenance. For a deeper look at how shared lists compare to campaign-level negatives, this breakdown of shared versus campaign-specific negative keyword lists covers the trade-offs in more detail.

The most common mistake at this stage is over-blocking. Adding a phrase negative that's too broad can quietly eliminate a large chunk of relevant queries, and you won't necessarily notice until impression share drops. When in doubt, use exact negatives for specific terms and only move to phrase negatives when you've confirmed a clear pattern.

If you want to understand the broader context of what negative keywords are and how they work before diving into this step, this guide to negative keywords in Google Ads covers the fundamentals.

If you're using Keywordme, you can flag and remove junk search terms with a single click directly inside the Search Terms Report. There's no need to export to a spreadsheet or navigate to a separate negative keyword tool. The action happens right where you're already reviewing the data.

Success indicator: Irrelevant terms are excluded at the appropriate level (campaign or shared list) with the right match type applied, and you haven't accidentally blocked any high-intent queries in the process.

Step 4: Promote High-Intent Queries to Exact or Phrase Match Keywords

Cleaning up junk is only half the job. The other half is making sure your best-performing search terms are set up for success.

Here's the situation this step addresses: when a broad or phrase match keyword triggers a search term that converts well, you're relying on Google's matching to keep serving your ad for that query. That works sometimes, but it's not reliable. Google may shift budget toward other queries, or a competitor's bid change may affect your visibility for that specific term. Adding it as a keyword—specifically as an exact or phrase match keyword—gives you direct bidding control over it.

The process in Google Ads is straightforward. In the Search Terms Report, check the box next to the high-performing query you want to promote. Look for the "Add as keyword" option that appears. Select the ad group where it belongs, choose your match type, and set a bid if you're using manual or enhanced CPC. If you're running Smart Bidding, the match type still matters for targeting purposes even if the bid itself is managed automatically.

Before you add a term, check whether it already exists as an exact match keyword in the same ad group. Adding a duplicate creates redundancy and can cause confusion in your reporting. A quick keyword search within the ad group takes about ten seconds and is worth doing every time.

Exact match is the right choice when you want precise control over a specific query and you have enough volume to justify it. Phrase match makes sense when you want to capture close variants of a high-performing term without going fully broad. The right choice depends on your account's traffic levels and how tightly you want to manage things.

This step is also where Keywordme speeds things up noticeably. Rather than navigating through multiple screens to add a keyword and apply a match type, you can do it in one click directly from the Search Terms Report. For accounts with dozens of strong-performing queries to promote, that adds up quickly.

Success indicator: Your best-performing search terms are now exact or phrase match keywords with dedicated tracking and bidding, rather than incidental traffic from a broader keyword.

Step 5: Review Match Types Across Your Existing Keywords

With your search term cleanup and keyword promotions handled, it's worth stepping back and looking at the match type landscape across your existing keyword list. This is a different task from the previous steps—you're not looking at individual queries now, you're looking at the keywords themselves and whether their match types still make sense.

Broad match keywords generate the widest variation in search terms. In earlier years, broad match was often treated as a low-priority setting that needed heavy negative keyword support to be usable. Google's current guidance is more favorable toward broad match, particularly when paired with Smart Bidding, because the system uses additional signals (like audience data and landing page context) to try to match queries more intelligently. That said, broad match still requires active negative keyword management—the matching is more informed, but it's not perfect.

For a more detailed look at when to use broad match versus exact match, this comparison of broad match and exact match walks through the trade-offs in practical terms.

Look at your existing keywords and cross-reference them with the search term data you've been reviewing. If a broad match keyword is consistently triggering irrelevant queries despite your negative keyword work, that's a signal it might need to be tightened to phrase or exact. If a phrase match keyword is generating strong, relevant traffic across a variety of closely related queries, you might have room to keep it as-is.

The trade-off is real: broader match types capture more volume but require more ongoing maintenance. Tighter match types are easier to control but limit your reach. Neither extreme is automatically correct. The goal is to make sure your match types reflect a deliberate intent-targeting strategy, not just whatever defaults were set when the campaign was originally built.

One practical note: don't switch multiple keywords from broad to exact all at once. Make changes in stages and monitor the impact on impression volume and conversion rate before moving on. Sudden changes to match types across a large keyword set can produce unpredictable results.

Success indicator: Your keyword match types reflect your current targeting strategy and have been reviewed against actual search term data, not just left at their original settings.

Step 6: Turn This Into a Weekly Habit

Everything covered in the previous steps is valuable. But the accounts that consistently benefit from search query optimization aren't the ones that run a thorough cleanup once a quarter. They're the ones that run a lighter, faster version of this process every week.

New queries appear constantly. User behavior shifts. Google's matching evolves. A keyword that was generating clean, relevant traffic last month might start triggering something off-topic this month. The only way to catch that before it costs you is to check regularly.

Set a recurring calendar reminder to review your Search Terms Report weekly. For lower-traffic accounts where the data moves more slowly, bi-weekly works fine. The review doesn't need to take long—prioritize high-spend, zero-conversion queries first, then look at any new terms that have appeared since your last check.

For agencies managing multiple client accounts, building this into your SOPs is worth the upfront effort. Document the workflow, set the cadence, and make sure whoever is doing the review knows exactly what to look for and what decisions they're authorized to make. Consistency across accounts matters more than perfection in any single review session.

This is also where tooling makes a real difference. Keywordme's multi-account support and bulk editing features are designed for exactly this scenario—running a fast, consistent weekly review across multiple accounts without the overhead of exporting data or switching between tools. If you want to understand what bulk editing in Google Ads actually involves, this overview of bulk editing explains the concept and where it fits into a PPC workflow.

The compounding effect of weekly optimization is real. Accounts that run this process consistently tend to have cleaner traffic, tighter match type control, and more efficient spend over time. That's not a guarantee—it's a function of the work being done regularly.

Success indicator: You have a scheduled, repeatable review process on your calendar, not a reactive cleanup you run when you notice spend spiking unexpectedly.

Putting It All Together

The core loop for Google Ads search query optimization is straightforward: review your Search Terms Report, categorize queries by intent, exclude irrelevant terms, promote high-performing queries as keywords, tighten match types where needed, and repeat.

Here's a quick checklist to keep handy:

1. Pull your Search Terms Report with a 30 to 90-day date range, sorted by cost descending.

2. Categorize every query into high-intent, irrelevant, or borderline buckets.

3. Add irrelevant terms as negative keywords using the right match type and level (campaign or shared list).

4. Promote high-performing search terms as exact or phrase match keywords with direct bids.

5. Review existing keyword match types against your current intent-targeting strategy.

6. Schedule a weekly (or bi-weekly) review and stick to it.

This process compounds over time. Each week you run it, your account gets a little cleaner. Junk traffic gets blocked earlier. Strong queries get the bidding attention they deserve. Match types reflect what's actually working rather than what was set up at launch.

If you want to run this workflow faster and without leaving Google Ads, Start your free 7-day trial of Keywordme. You can remove junk search terms, build high-intent keyword lists, and apply match types instantly—right inside the Search Terms Report. No spreadsheets, no tab-switching. Just cleaner campaigns, faster.