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

Every Google Ads account leaks budget on searches that will never convert. A user searching "free software download" clicks your paid ad. Someone looking for a job at a company you sell to lands on your landing page. A competitor quietly researches your pricing on your dime. These are junk search terms, and they cost real money every single time they trigger your ads.

The frustrating part? Google's broad and phrase match settings are designed to cast a wide net, which means some irrelevant traffic is almost inevitable. Google's matching algorithms have grown more expansive over time, and if you're not actively managing what triggers your ads, your budget will drift toward searches that have no realistic path to conversion.

The good news is that reducing junk search terms is a repeatable process, not a one-time fix. And it doesn't require spreadsheets, complex pivot tables, or a separate dashboard. It requires a clear methodology and consistent follow-through.

In this guide, you'll learn how to audit your search terms report, identify what actually counts as junk in your specific account, add the right negative keywords at the right level, tighten your match types to prevent future waste, and set up a review cadence that keeps irrelevant spend from creeping back. Whether you're managing a single campaign or a portfolio of client accounts, these steps will help you spend your budget on searches that actually matter.

If you want to go deeper on the broader topic of search term hygiene, this overview of what search term optimization actually means is a useful starting point. For now, let's get into the process.

Step 1: Understand What "Junk" Actually Means in Your Account

Before you start flagging terms, you need a working definition of junk that's specific to your account, not just a generic checklist.

A junk search term is any search query that triggered your ad but has no realistic path to conversion for your specific business goal. That last part matters. A term that's irrelevant to a B2B software company might be exactly what a consumer brand wants to capture. Junk is account-specific.

It's also worth being precise about terminology here, because this distinction comes up constantly in Google Ads work. A search term is the actual query a user typed into Google that triggered your ad. A keyword is the term you bid on inside your Google Ads account. These are not the same thing, and confusing them leads to poor decisions. You bid on keywords; you review search terms.

With that foundation in place, junk search terms generally fall into a few recognizable categories:

Wrong intent: Informational searches from users who want to learn, not buy. Think "how does project management software work" when you're selling a paid tool to businesses with purchasing intent.

Wrong audience: Job seekers searching for roles at companies that use your product, students doing research, or competitors checking your positioning. None of these people are in a buying mindset.

Wrong geography or language: If your service only operates in specific regions, searches from outside those areas are pure waste, even if the intent looks right.

Competitor branded terms you're not targeting intentionally: If users are searching for a competitor by name and landing on your ad, that's usually low-converting traffic unless you've built a specific campaign around it.

Unrelated products or services: Broad match keywords can pull in searches that share a word with your keyword but describe something entirely different.

One important caution before you start blocking: a term that looks odd or irrelevant might still be converting. Always check conversion data before adding a negative keyword. Blocking on gut feel alone is how you accidentally cut off a traffic source that was quietly driving results. The data review comes in the next step.

Step 2: Pull and Filter Your Search Terms Report

Now that you know what you're looking for, it's time to pull the data. The Search Terms Report in Google Ads shows you the actual queries that triggered your ads and the performance associated with each one.

To access it, navigate to your Google Ads account and look for the Search Terms section, typically found under Campaigns, then Insights and Reports, or within the Keywords section depending on your interface version. Google updates its UI periodically, so the exact path may shift slightly, but the report is consistently available somewhere in those areas.

Once you're in the report, the first thing to do is set your date range. Use at least 30 days of data, and 90 days is better for accounts with lower traffic volume. Shorter windows miss patterns and can lead you to act on statistical noise rather than real trends.

Next, apply filters to surface the highest-priority waste. Two filters that work well:

High spend, zero conversions: Filter for search terms that have spent above a meaningful threshold for your account (this will vary depending on your average cost per click and target CPA) and have recorded zero conversions. These are your most urgent targets.

High impressions, zero conversions: Terms that appear frequently but never convert are worth reviewing even if the individual cost is low, because they signal a pattern of misaligned matching.

Sort the filtered list by cost in descending order. This puts the most expensive irrelevant terms at the top, which is where your budget is actively bleeding. Work from the top down.

A few practical notes worth keeping in mind: Google does not show all search terms. Low-volume queries may be withheld for privacy reasons, which means your report is a sample, not a complete picture. This is a known limitation of the platform, documented in Google's own help resources. Work with what you have rather than waiting for perfect data.

If you manage multiple campaigns, segment the report by campaign or ad group before diving in. Reviewing everything in one undifferentiated list makes it harder to spot patterns and harder to decide where to apply negatives later.

Step 3: Identify and Flag Irrelevant Search Terms

With your filtered list in front of you, the next task is to go through it systematically and categorize what you find. This is where judgment comes in, and it's worth slowing down rather than rushing through.

For each search term, ask one question: does this search have a realistic path to conversion for this specific campaign? If the answer is clearly no, flag it for negative keyword addition. If the answer is uncertain, set it aside for a second look once you have more data.

As you work through the list, look for patterns rather than just individual terms. Individual junk terms are a symptom; recurring patterns are the root cause. If the word "free" appears across dozens of search terms, that's not a coincidence, it's a signal that broad match is pulling in users with fundamentally different intent than your target buyer. The same applies to words like "DIY," "jobs," "salary," "tutorial," "course," or "example," depending on your industry.

Categorize what you find into a few buckets:

Clearly irrelevant: Wrong intent, wrong audience, or completely unrelated to your product or service. These go straight to negative keyword addition in the next step.

Competitor branded terms: Decide whether you want to compete on these intentionally. If not, add them as negatives. If you do want to run competitor campaigns, keep them separate and manage them deliberately.

Ambiguous terms: These look odd but might still be driving value. Check the conversion column before acting. If a term has generated conversions at an acceptable cost, leave it alone regardless of how it looks on the surface.

Patterns worth blocking at the word level: Terms that share a common word with consistently poor performance. These will become phrase or broad negatives in the next step rather than exact-match negatives on each individual query.

Keep a running log of the junk patterns you discover across review cycles, for example, "free," "DIY," "jobs," "how to," "what is." This log becomes a reference for future reviews and speeds up the process considerably over time.

If you use Keywordme, this flagging step happens directly inside the Search Terms Report. You can mark and remove junk terms with a single click without exporting to a spreadsheet or switching between tabs. That's particularly useful when you're working through a long list and want to act on findings immediately rather than managing a separate document.

Step 4: Add Negative Keywords at the Right Level

Adding a negative keyword sounds simple, but where and how you add it makes a significant difference in how well it works and whether it causes unintended collateral damage.

Start with the question of level. Negative keywords in Google Ads can be applied at three levels: ad group, campaign, or via a shared negative keyword list at the account level. Understanding where to add negative keywords in Google Ads is one of the decisions that separates a clean account structure from a messy one.

Ad group level: The most surgical option. A negative added here blocks a term only within that specific ad group, leaving other ad groups in the same campaign unaffected. Use this when a term is irrelevant to one ad group but potentially valuable in another.

Campaign level: Blocks a term across all ad groups within that campaign. Use this when a term is irrelevant to everything in that campaign but might still be relevant in a different campaign.

Shared negative keyword list: A list managed at the account level that can be applied to multiple campaigns at once. This is the most efficient option for terms that are irrelevant across your entire account, for instance, "free," "jobs," or "how to" if you're running a purely transactional account. You build the list once, apply it to each relevant campaign, and then manage all future additions from one place. For more on this approach, this article on why negative keywords matter covers the structural reasoning in more detail.

Next, choose the right match type for each negative. This is where many advertisers make mistakes:

Exact negative [free software]: Blocks only searches that exactly match that phrase. Highly precise, but you'll need to add many variations to cover all the ways users might phrase a query.

Phrase negative "free": Blocks any search containing that word in that sequence. More efficient for common junk words, but still directional.

Broad negative free: Blocks searches containing that word in any order. The broadest protection, but also the highest risk of over-blocking.

Over-blocking is a real risk worth taking seriously. Adding a broad negative for a common word can accidentally exclude searches that were driving conversions. Before adding any broad or phrase negative, think through what other searches it might block. To illustrate with a hypothetical: if you sell project management software and "free project management" keeps appearing in your search terms, adding "free" as a phrase negative at the campaign level is more efficient than exact-matching every variation. But if "free" also appears in terms like "free trial comparison" that are converting, you'd want to use exact negatives for specific phrases instead. For a practical breakdown of approaches, this guide on the best way to add negative keywords in Google Ads walks through the tradeoffs in detail.

Keywordme handles this step directly inside the Search Terms Report. You can select junk terms, choose your negative match type, and apply them to the appropriate level without leaving the interface or opening a separate tool. For agencies managing multiple client accounts, that reduction in steps adds up quickly across a week of optimization work.

Step 5: Tighten Your Match Types to Prevent Future Junk

Adding negative keywords is a reactive measure. Adjusting your match types is how you reduce the volume of junk that enters your account in the first place.

Broad match is the primary driver of junk search terms. It gives Google the most latitude to match your keywords to searches, including queries that share only a loose semantic connection to what you're actually bidding on. That flexibility can be useful when paired with Smart Bidding and a well-maintained negative keyword list, but it's not a setting you should leave unmanaged.

Start by identifying which keywords in your account are set to broad match and generating the most irrelevant traffic. Cross-reference with your search terms data from Steps 2 and 3. If a broad match keyword is consistently pulling in searches that don't align with your campaign goal, it's a candidate for a match type change.

Here's how the three match types compare in practice:

Broad match: Maximum reach, minimum control. Google can match your keyword to searches that are conceptually related, including synonyms, related topics, and queries that don't contain your keyword at all. Useful when paired with Smart Bidding and a robust negative list, but requires active management.

Phrase match: A middle ground. Your ad can show for searches that include the meaning of your keyword, but the core concept needs to be present in the query. It captures more variation than exact match while being more targeted than broad.

Exact match: The most control, the least reach. Your ad shows only when the search closely matches your keyword. Use this for your highest-intent, highest-value terms where you know exactly what the user is looking for. For a more detailed look at when each option makes sense, this article on broad match versus exact match is worth reading alongside this step.

A few practical guidelines for making match type changes:

Don't switch everything to exact match at once. A sudden shift can cause a significant drop in impression volume, and you may lose traffic that was actually converting. Test match type changes on a campaign-by-campaign basis and monitor impression share and conversion volume for at least two to four weeks before drawing conclusions.

If you move a broad match keyword to phrase or exact, keep the original broad match version paused rather than deleted for a period. This lets you compare performance before committing to the change permanently.

Use broad match intentionally, not by default. If you're running broad match keywords, pair them with Smart Bidding, a strong negative keyword list, and a regular review cadence. Broad match without those guardrails is where budget tends to disappear fastest. For more on timing these decisions, this guide on when to apply match types in Google Ads covers the strategic side of the decision.

Keywordme lets you apply match types directly from the Search Terms Report, which is useful when you're reviewing terms and want to act on match type decisions in the same workflow rather than navigating to a separate Keywords view.

Step 6: Set a Regular Review Cadence

A one-time cleanup won't hold. Google's matching behavior evolves, search trends shift, and new junk terms appear continuously as user behavior changes. The accounts that stay clean are the ones with a consistent review process built into the weekly or monthly workflow.

How often you should review depends on your account's spend and maturity:

Weekly: High-spend campaigns, newly launched campaigns, or any campaign that has recently undergone significant changes to keywords, bids, or audience settings. New campaigns in particular can generate unexpected search term patterns in the first few weeks.

Bi-weekly or monthly: Stable, lower-spend campaigns where the keyword structure is well-established and the negative keyword list is already robust. These accounts still need attention, but the urgency is lower.

During each review, repeat the process from Steps 2 through 4: pull the search terms report, filter for high-spend or high-impression terms with poor performance, flag what's junk, and add negatives at the appropriate level. The process gets faster with each cycle as your shared negative keyword list grows and patterns become familiar.

Track the impact of your cleanup work over time. After adding a round of negatives, monitor changes in average cost per click, click-through rate, and conversion rate over the following two to four weeks. Improvement in these metrics is a signal that the cleanup is working. If you're not seeing any change, it may mean the junk terms you removed weren't a significant portion of your spend, or that new junk is entering through different keywords.

Build your shared negative keyword list incrementally with each review. Rather than re-adding the same terms repeatedly across accounts or campaigns, maintain a central list that captures everything you've learned. For agencies, this list becomes a reusable asset across client accounts. For more on reducing wasted spend as an ongoing practice, this guide on reducing wasted spend in Google Ads covers the broader workflow.

Set a calendar reminder or tie your search term review to your regular reporting schedule so it doesn't get skipped during busy periods. The accounts that drift back toward wasted spend are almost always the ones where the review cadence was inconsistent. Keywordme's in-interface workflow makes these weekly reviews faster and less tedious, which matters especially when you're managing multiple client accounts and need to get through each one efficiently.

Putting It All Together

Reducing junk search terms isn't a one-time project. It's an ongoing habit that compounds over time as your negative keyword list grows, your match types tighten, and your review process becomes faster and more systematic.

Here's the six-step process as a quick checklist:

1. Define junk for your account: Identify what "no realistic path to conversion" means for your specific business goal, and distinguish search terms from keywords before you start.

2. Pull and filter the Search Terms Report: Use a 30-to-90-day window, filter by high spend or impressions with zero conversions, and sort by cost descending.

3. Flag irrelevant terms systematically: Categorize by type, look for patterns rather than just individual terms, and always check conversion data before adding negatives.

4. Add negative keywords at the right level: Choose between ad group, campaign, and shared list based on how broadly irrelevant the term is, and select the match type carefully to avoid over-blocking.

5. Tighten match types proactively: Identify broad match keywords generating consistent junk and test moving them to phrase or exact match, one campaign at a time.

6. Review on a regular cadence: Weekly for active or high-spend campaigns, monthly for stable accounts. Track CPC, CTR, and conversion rate changes to measure the impact.

The goal isn't to eliminate all broad traffic. It's to ensure that every dollar you spend has a realistic shot at driving a conversion. That's a standard worth holding consistently, not just after a bad month.

If you want to run this entire process without leaving Google Ads or opening a spreadsheet, Start your free 7-day trial of Keywordme and run your first junk search term cleanup directly inside the Search Terms Report. After the trial, it's $12 per month per user, flat rate. No clunky dashboards, no tab switching, just faster optimization right where you're already working.