How to Clean Up Junk Search Terms in Google Ads (Step-by-Step)

If your Google Ads search terms report looks like a dumpster fire—full of irrelevant queries, random brand names, and searches that have nothing to do with what you sell—you're not alone. Broad and phrase match keywords cast a wide net, and a lot of what they pull in isn't worth paying for.

Junk search terms drain your budget, inflate your cost-per-click, and drag down your conversion rate without you even noticing. By the time you spot the damage, you've already paid for it.

The good news: cleaning this up is a repeatable process, not a one-time scramble. This guide walks you through exactly how to audit your search terms report, identify what counts as junk, add the right negative keywords, and set up a workflow that keeps things tidy going forward.

A quick but important distinction before we dive in: search terms are the actual queries users typed into Google. Keywords are the terms you bid on in Google Ads. These are not the same thing, and the search terms report shows search terms—not keywords. Keeping that distinction clear matters throughout this process.

Whether you're managing one account or twenty, these steps work the same way. By the end, you'll have a cleaner search terms report, a tighter negative keyword list, and a process you can run regularly—without spending hours in spreadsheets.

Step 1: Pull Your Search Terms Report and Set the Right Date Range

Start by navigating to your Google Ads account and going to Campaigns > Search terms in the left-hand menu. This is not the Keywords tab. The Keywords tab shows what you're bidding on. The Search terms tab shows what users actually typed before clicking your ad. That distinction matters.

Once you're in the Search terms report, set your date range. A common mistake is pulling just the last 7 days and calling it a sample. That's too short. You want at least 30 days of data, and 60 to 90 days is better if your account has moderate spend. Shorter windows miss patterns—a search term might look harmless with 2 clicks but reveal itself as a budget drain over a longer period.

If you're running multiple campaign types, filter to Search campaigns only. Performance Max campaigns have their own search terms insights section, and Display campaigns report differently. Mixing them muddies your analysis. Focus on Search first, then revisit Performance Max separately if needed.

One thing to know upfront: Google Ads does not show you every search term that triggered your ads. Low-volume queries are filtered out by the platform by default. This is a known limitation. You're working with the data Google gives you, which is still plenty to identify patterns and surface the worst offenders.

You can work directly in the interface or download the report as a CSV. Working in the interface is often faster for active cleanup, especially if you're using a tool that lets you take action without exporting. Either way, once you can see actual user queries alongside cost, clicks, and conversions, you're ready to move on.

Success indicator: You can see real queries users typed, with associated spend and conversion data, covering at least 30 days of activity.

Step 2: Define What "Junk" Actually Means for Your Account

Before you start flagging terms, you need a working definition of junk. It's tempting to think of junk as "anything irrelevant," but that's too vague to act on consistently.

A more useful definition: a junk search term is any query that consistently spends budget without contributing to your campaign goals. That framing keeps the focus on business impact, not just topical relevance.

Here are the most common junk categories to look for:

Competitor brand names: If you're not intentionally running competitor campaigns, queries containing competitor brand names are usually junk. Someone searching for a specific competitor is probably not in the market for you—at least not yet.

Informational queries: Terms like "how to," "what is," "DIY," and "free" often signal research intent, not purchase intent. Someone asking "what is project management software" is not the same buyer as someone searching "project management software for small teams."

Wrong geography or audience signals: If you sell to businesses, queries with "jobs," "salary," or "internship" are job-seeker traffic, not buyer traffic. If you serve a specific region, queries tied to other locations are similarly wasteful.

Account context matters here. A B2B SaaS company would treat "free trial no credit card" very differently than an e-commerce store would. One might see it as a high-intent signal; the other might see it as a freebie-seeker signal. Know your buyer before you judge the query.

One caution: don't auto-exclude every search term with zero conversions. Low-volume terms need more data before you can make a fair judgment. A term with 2 clicks and 0 conversions tells you very little. A term with 40 clicks, meaningful spend, and 0 conversions is a different story.

A simple decision rule that works well in practice: Does this search term match the intent of someone likely to buy from me? If the honest answer is no, it's junk. If you're not sure, give it more time or more data before acting.

Step 3: Sort and Filter to Surface the Worst Offenders First

You've pulled the report and you know what you're looking for. Now you need to work efficiently—because a large account can have hundreds or thousands of search terms in a 90-day window.

Start by sorting the report by Cost, descending. This puts the most expensive search terms at the top. These are your priority. If a junk term has spent a significant portion of your budget with zero conversions, that's where you recover money fastest. Don't start with low-cost terms that barely moved the needle.

Next, apply filters to isolate the clearest problem cases:

1. Cost greater than $0 (removes terms with impressions but no clicks)

2. Conversions equal to 0

3. Clicks greater than 5 (adjust this threshold based on your average CPC—if your average CPC is $10, even 3 clicks with no conversion is worth a look)

This combination surfaces search terms that have spent real money and produced nothing. That's your starting hit list.

After you've worked through the high-cost offenders, sort by Impressions, descending and look for high-volume terms that haven't spent much yet but will as your campaigns run. Catching these early is how you prevent future waste, not just clean up past waste.

As you scan the list, look for patterns. Junk rarely shows up as isolated one-off terms. It clusters. You might notice "free" appearing in a dozen different queries. Or a competitor's name showing up repeatedly. Or a job-related modifier like "careers" or "hiring." These patterns matter because they become the foundation of your negative keyword list in the next step—and one well-placed negative keyword phrase can block an entire category of junk at once.

If you find yourself exporting to a spreadsheet just to sort and filter, that's a workflow problem worth solving. Tools like Keywordme let you do this filtering and sorting directly inside the Google Ads interface, so you can spot patterns and take action without toggling between tabs or managing CSV files.

Step 4: Build Your Negative Keyword List the Right Way

This is where the cleanup actually happens. Negative keywords tell Google which queries should never trigger your ads. But adding them carelessly can cause as many problems as it solves.

First, understand the two levels where you can apply negatives:

Campaign-level negatives apply only to a specific campaign. Use these for terms that are irrelevant to one campaign but might be fine in another. For example, a product-specific term might be junk in your brand campaign but appropriate in a competitor campaign.

Account-level shared negative keyword lists apply across multiple campaigns at once. Use these for terms that are universally irrelevant to your business—competitor names you never want to target, job-seeker terms, or informational queries that never convert across any campaign. In Google Ads, you manage these under Tools > Shared Library > Negative keyword lists, then apply each list to the relevant campaigns.

Match type selection for negatives is where most guides fall short, so let's be precise:

Exact match negatives block only that specific query, typed exactly. Adding [free project management] as an exact match negative blocks that precise phrase but not "free project management software" or "best free project management."

Phrase match negatives block any query that contains that phrase. Adding "free project management" as a phrase match negative blocks any search containing those words in that order, which is usually more useful for catching a category of junk.

Broad match negatives are the most aggressive and the most risky. Blocking "free" at broad match could accidentally exclude queries like "free shipping included" that might convert well for an e-commerce account. Use broad match negatives sparingly and only for terms where you're confident no variation is worth keeping.

Organize your negatives into logical groups rather than dumping everything into one list. A structure like "Competitor Names," "Job Seeker Terms," and "Informational Queries" makes it much easier to audit and maintain your lists later.

If you're using Keywordme, you can add negatives directly from the search terms report with one click, applying the correct match type without leaving the Google Ads interface. That removes a lot of the friction from what is otherwise a multi-step process.

Step 5: Rescue High-Intent Terms Worth Keeping

Here's a step most cleanup guides skip entirely: the search terms report is not just a list of things to remove. It's also a keyword discovery tool.

As you review your search terms, you'll likely find queries that are performing well—clicks, conversions, or strong engagement—but don't closely match any of your current keywords. These are opportunities, not problems.

When a search term converts but isn't tightly matched to one of your existing keywords, Google is making the match decision for you. That means your bid, your ad copy, and your landing page assignment are all happening by default rather than by design. Adding that search term as an explicit keyword—usually exact match or phrase match—gives you control over all of those elements.

Look specifically for long-tail queries that appear in your search terms report with conversions. These often convert at lower CPCs than your broader keywords because they're more specific and face less competition. Leaving them uncontrolled in your broad match bucket means you're not maximizing what's already working.

The practical step: as you go through your review, create two action categories. One for "add as negative keyword" and one for "add as a new keyword to the relevant ad group." Work through both before you close the report. Treating the search terms report as purely a cleanup task means leaving keyword opportunities on the table.

Success indicator: By the end of your review session, you have a clear list of terms to exclude and a separate list of terms to promote as new keywords.

Step 6: Set a Regular Search Terms Review Cadence

A one-time cleanup does not stick. Google's keyword matching behavior—especially with broad match—means new search terms are constantly entering your account. The junk you remove today will be replaced by different junk next week if you don't have a system for catching it regularly.

Here's a practical cadence to work from:

Weekly reviews make sense for active campaigns with meaningful daily spend. If you're spending enough that a week of junk traffic adds up to real money, weekly is worth the time investment.

Bi-weekly reviews work for smaller accounts or campaigns with lower spend where weekly reviews would produce too little new data to act on.

Each review session, once you're working from a clean baseline, should take 15 to 30 minutes. If your sessions are consistently running longer than that, it usually means you've fallen behind on the cadence and are dealing with accumulated junk rather than fresh additions.

The practical side of maintaining this cadence is simple: put it on your calendar as a recurring task. Manual negative keyword management doesn't scale without a system, and "I'll do it when I remember" is not a system.

Track one metric over time to measure whether your reviews are working: what percentage of your total spend goes to search terms that have converted versus search terms that haven't. As your negative keyword lists mature and your account tightens up, that ratio should improve.

Keywordme's in-interface workflow is particularly useful for recurring reviews because you're not exporting files, opening spreadsheets, or switching between tools. You work directly in the search terms report, take action with single clicks, and move on. That lower friction makes it easier to stick to the cadence, which is ultimately what determines whether your account stays clean.

Your Six-Step Checklist and What to Watch Next

Before you close out your cleanup session, run through this checklist:

1. Date range set to 30 to 90 days of data

2. Junk criteria defined for your specific account and goals

3. Report sorted by cost to surface the worst offenders first

4. Negative keywords added with the correct match types, organized into logical lists

5. High-intent search terms promoted to explicit keywords in the right ad groups

6. Review cadence scheduled as a recurring task

After cleanup, watch these metrics over the following two to four weeks. Your click-through rate should improve as irrelevant impressions drop and your ads show more often to people actually searching for what you offer. Your cost per acquisition should trend down as budget concentrates on search terms that actually convert rather than spreading across junk traffic.

If your search terms report still feels overwhelming after a thorough cleanup, the underlying issue is often your match type settings. Broad match without adequate conversion data or Smart Bidding signals pulls in a very wide net. That's worth addressing separately—but the negative keyword process you've just completed is the right first step regardless of your match type strategy.

If you want to make recurring search terms reviews faster and less painful, Keywordme is built exactly for this workflow. It runs as a Chrome extension directly inside Google Ads, so you can remove junk search terms, add negatives with the right match types, and promote high-intent terms to your keyword list—all without leaving the interface or touching a spreadsheet. Start your free 7-day trial and see how much faster your next review session can be. After the trial, it's $12 per user per month.