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

TL;DR: Junk search terms are irrelevant queries triggering your ads and draining your budget. This guide walks you through exactly how to find them, remove them, and prevent them from coming back—without spreadsheets or clunky workarounds.

If your Google Ads campaigns are spending money but not converting, junk search terms are often the culprit. These are the random, off-topic, or low-intent queries that Google's matching algorithms decide are "close enough" to your keywords—but your customers would never actually use.

The result? Clicks that don't convert, CPCs that creep up, and a quality score that suffers quietly in the background.

The good news is that learning how to eliminate junk search terms is one of the highest-ROI optimizations you can make in Google Ads. It's not complicated, but it does require a clear, repeatable process. Whether you're managing one account or twenty, this guide gives you a practical workflow you can follow right now.

We'll cover how to audit your search terms report, spot the patterns that signal wasted spend, build negative keyword lists that actually work, and set up a routine that keeps junk terms from piling up again. By the end, you'll have a cleaner, tighter account that spends smarter—not just more.

Step 1: Pull Up Your Search Terms Report and Know What You're Looking At

Before you can eliminate anything, you need to see what you're dealing with. Head to Google Ads > Keywords > Search Terms to access the report. If you haven't spent much time here, this is where the real story of your campaign lives.

Here's the distinction that matters: keywords are what you bid on. Search terms are what users actually typed into Google before clicking your ad. These two things are often very different, especially if you're running broad or phrase match keywords. Google's algorithm decides what counts as a "relevant" match—and it's not always right. Understanding the difference between search terms and keywords is foundational to cleaning up your account effectively.

Set your date range to at least 30–90 days. Too short a window and you'll miss low-frequency junk terms that are still quietly burning budget. In most accounts I audit, the worst offenders aren't the terms that appear daily—they're the ones that show up a few times a month but cost $15–$30 each click with zero conversions.

Before you start reviewing, make sure these columns are enabled:

Search term: The actual query the user typed.

Match type: Which of your keywords triggered it and how.

Clicks, Impressions, Cost: Your spend exposure per term.

Conversions and Conv. rate: Whether any of that spend is paying off.

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

What you're immediately looking for: search terms with significant spend and zero conversions, queries that have nothing to do with your product or service, competitor brand names you didn't intend to target, and navigational queries (people looking for a specific website, not a solution).

The most common mistake here is only reviewing the last 7 days. You'll catch the obvious stuff, but you'll miss the patterns. A term that triggers once a week at $20 a click adds up fast over a quarter—and you won't see it if you're only looking at a week of data.

You know this step worked when: You can clearly see which search terms triggered your ads, what they cost, and whether any of them converted. If that picture is murky, adjust your columns before moving on.

Step 2: Identify the Patterns Behind Junk Search Terms

Here's where experienced PPC managers work faster than beginners: instead of reviewing junk terms one by one, they look for patterns. Junk terms rarely appear in isolation—they follow predictable structures you can learn to spot quickly.

Sort your search terms report by Cost descending first. This surfaces your most expensive junk at the top. Then look for these recurring patterns:

Pattern 1: Informational intent mismatch. Queries like "how to manage a project" or "what is CRM software" triggering ads for a paid tool. The user is researching, not buying. These are classic low-intent search terms for commercial campaigns.

Pattern 2: Wrong audience signals. Job seekers, students, and DIYers frequently trigger B2B and professional service ads. If you're running ads for a project management platform and "project manager jobs" or "project management certification" keeps appearing, you've got an audience mismatch problem.

Pattern 3: Free or cheap intent signals. "Free," "cheap," "DIY," "template," and "download" are classic signals that someone isn't looking to pay for your product. If you're selling a premium SaaS tool, these terms will consistently underperform.

Pattern 4: Competitor and brand queries. Broad match campaigns often pull in competitor brand names you never intended to target. Unless you have a specific competitor targeting strategy, these are usually wasted spend.

Pattern 5: Plural, abbreviation, or meaning-shift variations. Sometimes a small change in phrasing completely changes the intent. "Ad management" versus "ad management jobs" is a small difference with a big impact on relevance.

Once you've spotted these patterns, look for the root words or prefixes that keep appearing across multiple junk terms. "Free," "cheap," "DIY," "jobs," "course," "tutorial," "salary," "template"—these become your negative keyword seed list. You're not just blocking individual bad queries; you're blocking entire categories of irrelevant intent.

In most accounts I review, you can identify 3–5 of these root patterns within the first 15 minutes of looking at the search terms report. That's your leverage point. If you're dealing with a high volume of irrelevant search terms eating budget, pattern recognition is what lets you fix the problem at scale.

You know this step worked when: You've identified at least 3–5 recurring patterns in your junk terms, not just a list of individual bad queries. Patterns are what let you build scalable negative keyword lists instead of playing whack-a-mole with one term at a time.

Step 3: Build Your Negative Keyword List the Right Way

This is where most advertisers either get it right or create new problems for themselves. The goal isn't just to block bad terms—it's to block them precisely, without accidentally cutting off traffic you actually want.

Start with the three negative match types and when to use each:

Exact negative [-keyword]: Blocks only that specific query. Use this when you want to exclude a precise term without any risk of collateral damage. Good for brand names or very specific queries where blocking the phrase version might be too broad.

Phrase negative ["keyword"]: Blocks any query containing that phrase in order. This is your workhorse. Most of the root words and patterns you identified in Step 2 work best as phrase negatives.

Broad negative [keyword]: Blocks any query containing all those words in any order. Use this carefully. It has the widest reach and the highest risk of blocking queries you actually want. In most accounts, phrase negatives do the job more safely.

Now, organize your negatives by theme. Don't just dump everything into one list. Structure them so they're manageable and auditable:

Informational intent list: "how to," "what is," "guide," "tutorial," "definition," "examples."

Job seeker list: "jobs," "careers," "salary," "hiring," "job description," "resume."

Free/cheap intent list: "free," "cheap," "DIY," "template," "download," "open source."

Educational intent list: "course," "certification," "learn," "study," "training."

Competitor list: Specific competitor brand names you're not intentionally targeting.

Here's a real example of how to think through this: if you're running ads for a project management SaaS and "free project management template" keeps appearing, adding "free" as a phrase negative to that campaign makes sense. But before you do, check whether "free trial" is a query you actually want to capture. If it is, you'd use an exact negative for [-free project management template] instead of a phrase negative for ["free"]—which would block "free trial" searches too.

That kind of thinking is what separates a clean negative keyword strategy from one that accidentally starves your campaigns of good traffic. For a deeper look at how to research negative keywords systematically, it's worth building this into your standard campaign setup process.

Next, decide where to apply your negatives: campaign-level or shared negative keyword list. If the same junk terms are appearing across multiple campaigns, a shared list is far more efficient. You add the negative once and it applies everywhere. For campaign-specific issues, apply at the campaign or ad group level.

You know this step worked when: Your negative keyword list is organized by theme, uses the right match types for each category, and is applied at the appropriate level—not just dumped into a single unstructured list.

Step 4: Apply Negatives and Tighten Your Match Types

Two things happen in parallel at this stage: you apply your negative keyword lists, and you review whether your existing match types are contributing to the junk term problem.

To add negatives directly in Google Ads, go to Tools > Shared Library > Negative Keyword Lists for account-wide shared lists. For campaign or ad group level negatives, go into the campaign, select Keywords, and find the Negative Keywords tab. Apply your themed lists to the relevant campaigns.

While you're in there, run a quick match type audit on your existing keywords. If broad match keywords are generating the majority of your junk terms, that's a signal. Broad match isn't inherently bad—it can surface valuable queries you'd never have thought to bid on—but it requires active, ongoing negative keyword management to stay clean. If you're not doing that maintenance, broad match becomes expensive. Understanding how match types affect search term targeting is essential before making any changes here.

Consider shifting some of your highest-spend broad match keywords to phrase or exact match if they're consistently triggering irrelevant queries. This gives you tighter control without abandoning reach entirely. Many advertisers run a mix: exact match for their highest-intent, highest-converting terms, phrase match for mid-funnel coverage, and broad match with heavy negative layers for discovery.

The mistake most agencies make is applying broad match across the board and then only doing a search terms review once a month. That's how budgets get quietly drained.

On the workflow side: if you're doing this manually—exporting to CSV, filtering in Excel, identifying negatives, then re-uploading via Google Ads Editor—you already know how slow and error-prone that process is. Tools like Keywordme let you flag junk terms and add negatives directly inside the Google Ads search terms report with one click. No tab-switching, no spreadsheets, no re-uploading. For anyone managing multiple campaigns, the time savings compound quickly.

After applying your negatives, give it 1–2 weeks before evaluating impact. Impression and spend patterns need time to shift. Don't panic if you don't see immediate changes in the first 48 hours.

You know this step worked when: The junk terms you identified are no longer appearing in your search terms report after the exclusions have had time to take effect.

Step 5: Set Up a Weekly Search Terms Review Routine

This is the step most advertisers skip—and it's why junk terms keep coming back. Google's matching evolves constantly. New queries emerge. Campaigns drift. What you cleaned up last month can get messy again within weeks if you're not checking in.

The recommended cadence: weekly review for active campaigns with significant spend, bi-weekly for smaller or more stable campaigns. This isn't as time-consuming as it sounds if you have a structured process. If you're unsure about the right frequency, this guide on how often you should review your search terms report breaks down the decision by campaign size and spend level.

Here's a simple weekly checklist that works in practice:

1. Filter search terms by cost above your threshold (set this based on your average CPC—something like 1–2x your target CPA) with zero conversions.

2. Sort by impressions descending to catch high-volume junk that may not have cost much per click but is eating impression share.

3. Flag irrelevant terms and identify any new patterns you haven't seen before.

4. Add flagged terms to the appropriate themed negative list.

5. Note any new root words or patterns that should be added as broader negatives.

That's the full loop. In a well-maintained account, this takes under 15 minutes per campaign. In a neglected account, the first cleanup takes longer—but it gets faster every week as your negative lists mature.

For agencies managing multiple accounts, this is where workflow tooling makes a real difference. What used to take 30–45 minutes per account using the export-filter-upload approach can be done in under 10 minutes when you're working directly inside the Google Ads interface without context-switching. A structured Google Ads search terms report workflow is what separates accounts that stay clean from those that drift back into wasted spend.

One more thing worth setting up: budget threshold alerts in Google Ads. If a campaign's spend spikes unexpectedly, it often signals new junk terms eating budget before your next scheduled review. Getting alerted early means you can act before the damage compounds.

You know this step worked when: Your weekly review takes under 15 minutes per campaign and your conversion rate trends upward over 4–6 weeks of consistent maintenance.

Step 6: Measure the Impact and Refine Your Strategy

You've done the work. Now you need to know if it's paying off—and what to do next based on what you find.

The key metrics to track before and after your cleanup:

CTR: Should improve as irrelevant impressions drop. If your ads are showing to more relevant audiences, more of them will click.

Conversion rate: Should improve as unqualified clicks are excluded. The same budget hitting a more relevant audience converts at a higher rate.

Cost per conversion: Your primary efficiency metric. A downward trend here over 4–6 weeks confirms the cleanup is working.

Average CPC: May decrease as Quality Score improves from better CTR and relevance signals.

Impression share: Watch this carefully. If it drops significantly alongside conversions, you may have over-excluded.

Use Google Ads' built-in comparison date ranges to measure before and after. Set your "before" period to the same number of days as your "after" period for a clean comparison. This is the fastest way to see whether your negative keyword additions moved the needle.

Watch for over-exclusion. If impressions drop significantly but conversions drop too, you've likely blocked relevant traffic somewhere. Go back through your recently added negatives and check for any that might have been too broad. This is especially common with broad match negatives added in bulk.

Here's the part most advertisers miss: the best search terms you discover in this process should become new keywords. Junk term cleanup and keyword expansion are two sides of the same coin. High-performing search terms that aren't already in your keyword list should be added as exact or phrase match keywords with their own ad groups and tailored ad copy. This is how you turn a cleanup exercise into a growth strategy. The process of finding new keywords from your search terms report is one of the most underused tactics in PPC.

If you're managing client accounts, document your negative keyword lists and update them as campaigns evolve. A well-maintained negative keyword library becomes a genuine asset—one that carries institutional knowledge about what doesn't work for that client's audience.

You know this step worked when: Month-over-month, your cost per conversion is decreasing while conversion volume holds steady or grows. That's the signal that your account is spending smarter.

Your Junk Search Term Elimination Checklist

Here's the full workflow condensed into a format you can reference every time you sit down to optimize a campaign:

Pull the search terms report with a 30–90 day date range and enable the right columns (search term, match type, clicks, cost, conversions, conv. rate, CTR).

Identify patterns and root words by sorting by cost descending and looking for recurring intent signals: informational queries, job seeker terms, free/cheap modifiers, educational intent, competitor names.

Build themed negative keyword lists organized by intent category, not dumped into a single unstructured list.

Choose the right match type for each negative: phrase negatives for root word patterns, exact negatives for precise terms where collateral damage is a risk, broad negatives only when you're confident about scope.

Apply at the right level: shared negative keyword lists for terms that appear across multiple campaigns, campaign or ad group level for campaign-specific issues.

Tighten match types on broad match keywords that are consistently generating junk terms—consider shifting high-spend keywords to phrase or exact match.

Set a weekly review cadence and follow the five-step checklist: filter by cost with zero conversions, sort by impressions, flag irrelevant terms, add to negative lists, note new patterns.

Track CTR, conversion rate, and cost per conversion week-over-week using comparison date ranges. Watch for over-exclusion.

Add winning search terms as new keywords with dedicated ad groups and tailored ad copy.

This process compounds over time. Accounts that go through a weekly search terms review consistently outperform accounts that are set and forgotten. The first cleanup is the hardest—after that, it's maintenance.

If you're managing Google Ads and want to do this entire workflow without leaving the platform or touching a spreadsheet, Start your free 7-day trial of Keywordme—it lets you flag junk terms, add negatives, and build keyword lists with one click directly inside your search terms report. Then just $12/month after that.