How to Identify Junk Keywords in Google Ads (Step-by-Step)
This guide explains how to identify junk keywords in Google Ads — the mismatched search terms that burn budget without delivering conversions — and gives you a clear, repeatable weekly workflow to spot and eliminate wasted spend before it adds up.
If your Google Ads campaigns are burning through budget without delivering conversions, junk keywords are often the culprit. These are the search terms Google matches your ads to that have nothing to do with what you're actually selling. Think of someone searching for a free DIY tutorial clicking your paid ad for a professional service. The clicks look real. The spend is real. But the intent is completely wrong.
This guide walks you through exactly how to identify junk keywords in your Google Ads account, step by step. You'll learn where to look, what signals to watch for, and how to act on what you find — without needing to export a single spreadsheet.
Whether you're managing one account or twenty, the process is the same. By the end, you'll have a clear method for spotting wasted spend before it drains your budget, and a repeatable workflow you can run every week.
One important distinction before we start: in Google Ads, the keywords you bid on are different from the search terms users actually type. When practitioners talk about "junk keywords," they're really referring to junk search terms — the actual queries triggering your ads that don't match your offer. A keyword like "plumber near me" is what you bid on. "Plumber salary near me" is the search term a job seeker typed that your ad appeared for. That distinction matters throughout this guide.
Step 1: Open the Search Terms Report in Google Ads
The Search Terms Report is where this entire process lives. It shows you the actual queries people typed into Google before clicking your ad — not the keywords you're bidding on, but the real searches that triggered your ads.
To find it, navigate to your Google Ads account and select a campaign from the left-hand navigation. Then go to Keywords in the left menu and click Search Terms. Alternatively, you can access it from the top navigation under Search Keywords > Search Terms. Note that Google occasionally updates its interface, so the exact path may shift slightly — but the report is always accessible from within the Keywords section of any search campaign.
This is not the same as the Keywords tab. The Keywords tab shows you what you're bidding on. The Search Terms tab shows you what's actually happening. Confusing the two is one of the most common mistakes advertisers make when auditing campaigns, and it leads to wasted effort reviewing the wrong data entirely.
Before you start reviewing, set your date range to at least the last 30 days. Shorter windows miss patterns. A search term might only appear a handful of times per week, but over 30 days it becomes visible enough to evaluate. If you're doing a deeper audit, 60 or 90 days gives you even more signal.
One practical tip: start with your highest-spend campaigns first. You're looking for the biggest waste fastest, and budget naturally concentrates in your most active campaigns. There's no point combing through a low-spend campaign while your top spender is hemorrhaging clicks on irrelevant queries.
Once you're in the Search Terms Report with a 30-day window open, you'll likely see dozens or hundreds of rows depending on your campaign volume. That's fine — you're not going to read every one. The next step is about surfacing the worst offenders quickly.
Step 2: Sort and Filter to Surface Problem Search Terms
Reading through every search term row by row is inefficient and easy to miss things. Instead, use sorting and filtering to pull the most problematic terms to the top of your list.
Start by sorting by Cost (descending). This immediately shows you which search terms are consuming the most budget. A search term that's spent twice your target cost-per-acquisition without a single conversion is a clear problem, and sorting by cost makes those terms impossible to ignore.
Next, sort by Clicks (descending). High click volume with low or zero conversions is a red flag. Some search terms attract lots of clicks from people who have no intention of buying — they're curious, they're researching, or they're simply in the wrong stage of the funnel.
The most powerful filter you can apply is a combination: Conversions = 0 combined with Cost greater than your target CPA threshold. This isolates pure waste — search terms that have spent real money and returned nothing. Your target CPA threshold is whatever you've defined as an acceptable cost per conversion in your account. If you're targeting a $50 CPA and a search term has spent $75 with no conversions, it's a candidate for review.
Also look at the Impressions and CTR columns together. A search term with high impressions but very low CTR often signals an irrelevant match — Google is serving your ad for that query, but users aren't clicking because your ad clearly doesn't match what they're looking for. That's actually a useful signal. It means Google's matching is drifting, even if the financial damage is limited so far.
The Conversion Rate column is worth adding to your view if it isn't already visible. Use it to spot outlier terms dragging down your campaign averages. A single search term with a 0% conversion rate across many clicks can pull your overall campaign conversion rate down significantly, which distorts your optimization decisions elsewhere.
The goal of this step is to isolate the noise from the signal. You're not reading every row — you're surfacing the worst offenders so you can evaluate them deliberately in the next step.
Step 3: Recognize the Patterns That Signal a Junk Search Term
Once you've filtered your Search Terms Report to show the highest-cost, lowest-converting queries, you need to evaluate what you're actually looking at. Most junk search terms fall into recognizable patterns. Learning these patterns makes the review process much faster over time.
Informational intent: Search terms containing words like "what is," "how to," "DIY," "free," "tutorial," or "guide" almost always indicate someone in research mode, not buying mode. These users want information. They're not ready to spend money, and they're unlikely to convert on a paid offer. If you're a professional service provider and someone searched "how to fix a leaky pipe yourself," that's a mismatch with your offer no matter how well your ad copy is written.
Wrong-audience signals: Terms like "student," "cheap," "salary," "jobs," "resume," or "hire" indicate the wrong person entirely. Job seekers, students, and people comparing salaries are not your buyers. These terms often appear when broad match keywords expand into adjacent but irrelevant territory.
Competitor or brand confusion: Broad match can trigger your ads for searches containing competitor names or unrelated brand names. If someone is specifically searching for a competitor, they're unlikely to convert on your ad. This doesn't mean you should never bid on competitor terms — that's a separate strategy — but it does mean unintentional competitor matches from broad match expansion are worth reviewing.
Completely unrelated topics: This is where broad match can cause the most damage. A plumbing company bidding on the keyword "pipe" might find their ads triggered by searches like "pipe tobacco," "pipe dream," or "pipe organ." None of those searchers are plumbing customers. This kind of expansion is common with short, ambiguous keywords and is a strong argument for tightening match types on high-spend campaigns.
Geographic or demographic mismatches: If your service is local or region-specific, watch for search terms that include locations outside your service area. These can appear even with location targeting set correctly, particularly in campaigns using broader match types.
When you spot these patterns, you're not just identifying individual bad search terms — you're identifying systemic issues in how your keywords are matching. That context matters when you get to the negative keyword step. Understanding why a junk term appeared helps you block the pattern, not just the single query.
Step 4: Score Each Search Term Against Your Buyer Intent Criteria
Sorting and pattern recognition gets you most of the way there. But for search terms that aren't obviously junk, you need a simple evaluation framework to make a confident decision.
Before you start reviewing individual terms, define your buyer intent checklist. Think about: what problem does your customer have when they're ready to buy? What language do they use when they're close to a purchase decision? What do they typically search when they're comparing options? Write this down, even informally. It becomes your reference point when a search term is ambiguous.
For each search term you're unsure about, ask three questions:
1. Does this person want what I sell? Not a related topic, not something adjacent — specifically what you offer.
2. Can they afford it or are they in the right context? A search for "cheap" or "free" versions of your service often signals price sensitivity that doesn't match a premium offer. A search for "enterprise" when you sell to SMBs is a mismatch in the other direction.
3. Are they ready to act now? Research-phase queries ("what is," "how does," "comparison of") suggest they're not at the decision stage yet.
If a search term fails two or more of these criteria, flag it as a junk candidate. You don't need to be certain — you need to be confident enough to exclude it.
As you flag terms, group them by pattern: informational intent, wrong audience, unrelated topic, geographic mismatch. This grouping isn't just for organization — it directly informs your negative keyword strategy. Grouping by pattern lets you write phrase match negatives that block entire categories of irrelevant queries, not just one-off terms.
One practical technique when you're genuinely unsure about a term: search for it yourself in Google and look at the organic results. If the search engine results page is dominated by blog posts, YouTube videos, and Wikipedia entries, the intent is informational. If it shows product pages, service providers, and comparison sites, the intent is commercial. The SERP tells you what Google thinks the searcher wants — and that's a reliable signal.
Keep a running log of the patterns you find across your review sessions. Over time, this log becomes your negative keyword seed list and helps you build protection faster in new campaigns.
Step 5: Add Junk Search Terms as Negative Keywords
Once you've identified and flagged your junk search terms, the next step is converting them into negative keywords. This is where you actually stop the bleeding.
In the Search Terms Report, select the terms you've flagged and use the "Add as negative keyword" option. Google Ads lets you add negatives at the campaign level or the ad group level — and the choice matters.
Campaign-level negatives block a search term across all ad groups within that campaign. Use this when the term is irrelevant to your entire campaign, not just one ad group. For example, if you run a professional plumbing service campaign and "DIY" is never relevant, add it as a campaign-level negative.
Ad group-level negatives are more surgical. Use them when a term is only irrelevant to one specific ad group but might be acceptable in another. This level of precision helps you avoid over-blocking.
Match type selection for your negatives is equally important:
Exact match negative blocks only that specific query. Use this when you've identified a precise irrelevant term and want to be conservative about blocking. It's the safest starting point when you're unsure how broad your exclusion should be.
Phrase match negative blocks any query containing that phrase in that order. This is powerful for pattern-based exclusions. Adding "free" as a phrase match negative blocks "free plumber," "free plumbing quote," "free pipe inspection," and any other query containing the word free. It's efficient, but test it carefully — phrase negatives can sometimes block legitimate terms if the phrase appears in queries you actually want.
When you find recurring junk patterns across multiple campaigns, consider adding those terms to a shared negative keyword list. Shared lists apply across campaigns and save you from repeating the same exclusions in every campaign you manage. For agency teams managing multiple client accounts, this is a significant time saver.
A word of caution: don't add negatives too aggressively in a single session. It's better to start with exact match negatives on confirmed junk terms and move to phrase match negatives once you're confident in the pattern. An overly broad negative can accidentally block search terms you actually want.
If you're doing this work directly inside Google Ads, Keywordme's Chrome extension lets you add negatives from the Search Terms Report with a single click — no exporting, no switching tabs, no copy-pasting into a spreadsheet. You stay in the interface and move through your list faster.
Step 6: Promote High-Intent Search Terms as Positive Keywords
Not everything in your Search Terms Report is a problem. Some of what you find are valuable queries you're not explicitly bidding on — and those deserve attention too.
Look for search terms that have generated conversions or show strong CTR but don't match any of your existing keywords exactly. These are candidates to add as new positive keywords. When a search term is performing well but only being captured incidentally through a broad or phrase match keyword, adding it explicitly gives you direct control over bid, match type, and ad copy alignment.
Explicit control matters because it lets you write ad copy that speaks directly to that specific query, set a bid that reflects its actual conversion value, and track its performance independently rather than buried inside a broader keyword's aggregated data.
When adding high-intent search terms as positive keywords, apply the appropriate match type deliberately:
Exact match is best for high-confidence, high-value terms where you want precise control and are willing to potentially miss some variations.
Phrase match works well when you want to capture natural variations of a term while maintaining some control over the core phrase.
One technique worth using as your campaign structure matures is cross-negation: add a search term as a positive keyword in the ad group where it belongs, then add it as a negative in other ad groups where it would compete. This keeps your campaign structure clean and prevents your own ad groups from cannibalizing each other's traffic.
Keywordme lets you add high-intent search terms as positive keywords and apply match types without leaving the Search Terms Report, which keeps this step fast when you're working through a long list.
Step 7: Build a Repeatable Weekly Review Routine
Identifying junk keywords once is useful. Doing it consistently is what actually protects your budget over time.
Junk search terms accumulate continuously. Google's matching evolves, user behavior shifts, and campaigns drift as budgets change or new ad groups launch. A campaign that was clean last month can develop new irrelevant matches this month — especially after you increase budgets, add new keywords, or adjust match types. These changes often trigger new matching behavior that introduces fresh junk.
The solution is a recurring review block on your calendar. For most accounts, 15 to 30 minutes per account per week is enough if you follow the same filter and sort process each time. The consistency matters more than the duration. A quick weekly review catches junk before it compounds; an infrequent deep audit catches it after the damage is done.
Use consistent date ranges to make your reviews comparable week over week. For weekly reviews, use the last 7 days. For monthly audits, use the last 30 days. Switching date ranges arbitrarily makes it harder to spot trends or know whether you've already reviewed a particular search term.
Keep your shared negative keyword list updated with each new pattern you discover. This is where your reviews compound in value. Each week you add new exclusions, you're building a layer of protection that carries forward into future weeks and into new campaigns you create. Over time, your negative keyword list becomes one of your most valuable campaign assets.
Two metrics worth tracking over time to measure the impact of your negative keyword hygiene: Search Lost IS (Budget) and average CPC. As you remove irrelevant traffic, your budget concentrates on higher-quality clicks. You should see your average CPC stabilize or improve as the wasted spend is eliminated and your quality signals strengthen.
Schedule your review after any major campaign change — new ad groups, match type adjustments, significant budget increases. These events are the most common triggers for new irrelevant matches, so reviewing immediately after them catches problems early rather than letting them run for weeks.
Putting It All Together
Identifying junk keywords is a core skill for any Google Ads practitioner. The process comes down to seven repeatable steps: open the Search Terms Report, sort by cost and conversions, recognize junk patterns, score terms against buyer intent, add negatives, promote high-intent winners, and review weekly.
None of this requires a third-party dashboard or a spreadsheet. It requires a consistent habit and knowing what to look for. The faster you build this routine, the less budget you lose to irrelevant clicks.
The biggest gains usually come early. Your first thorough review of a neglected account often surfaces significant wasted spend concentrated in a handful of patterns — informational queries, wrong-audience terms, and broad match expansion into unrelated topics. Fixing those quickly moves the needle on campaign efficiency, and maintaining the habit keeps it there.
If you want to speed up the process — especially across multiple campaigns or client accounts — Start your free 7-day trial of Keywordme. The Chrome extension lets you do all of this directly inside Google Ads: one-click negatives, one-click keyword additions, match type application, no tab-switching, no spreadsheets. Then just $12/month per user after the trial.