How to Eliminate Irrelevant Keywords in Google Ads (Step-by-Step)

Every click costs money. The problem is that a meaningful portion of those clicks often come from people who were never going to buy from you — students doing research, DIYers looking for free tutorials, or users in the wrong city searching for a service you don't offer there. Your budget drains, your conversion rate drops, and it feels like Google Ads just isn't working.

Here's the thing: the issue usually isn't your keywords. It's your search terms.

In Google Ads, keywords are what you bid on. Search terms are what users actually typed into Google that caused your ad to appear. These two things can be very different, especially when broad match is in play. A keyword like "accounting software" can trigger your ad for searches like "free accounting tools for students" or "how to do accounting yourself" — neither of which is your target customer.

So when people talk about eliminating irrelevant keywords, what they really mean in practice is: reviewing the search terms that triggered your ads, identifying the ones that don't fit, and blocking them with negative keywords. That's the actual lever you pull. Deleting a keyword from your list doesn't stop irrelevant traffic — understanding where that traffic comes from and cutting it off at the source does.

This guide gives you a repeatable workflow to do exactly that. You'll learn how to diagnose the root cause of irrelevant traffic, pull and read your Search Terms Report, decide what to block, add negative keywords correctly, tighten your match types, and build a recurring audit habit that keeps your campaigns clean over time.

Let's get into it.

Step 1: Understand What's Actually Causing Irrelevant Traffic

Before you start blocking search terms, it helps to understand why they're appearing in the first place. The answer almost always comes down to keyword match types and how Google's matching behavior works.

When you add a keyword to your campaign, you're telling Google the general topic your ad should be relevant to. But Google doesn't show your ad only for that exact phrase — it interprets your keyword and decides which user searches are close enough to match. With broad match, that interpretation can stretch quite far.

For example, a broad match keyword like "project management tool" might trigger your ad for searches like "how to manage a project without software," "free project tracker for students," or "what does a project manager do." Google considers these related to your keyword based on signals like your landing page content, other keywords in your ad group, and the user's search history. The intent behind those queries, though, is completely different from someone ready to buy a project management tool.

Phrase match is more controlled. It shows your ad for queries that include your keyword phrase in the same order, with additional words allowed before or after. Exact match is the tightest option, showing your ad only for the specific query or very close variants.

The more permissive your match type, the more search term variance you'll see — and the more actively you need to manage negatives to filter out the noise.

The ground truth for all of this is the Search Terms Report in Google Ads. This report shows you every search query that actually triggered your ads and received an impression. It's the most direct view of what's driving your traffic, and it's where this entire workflow starts.

Common culprits behind irrelevant traffic include: broad match keywords with no negative keyword coverage, overly generic keyword choices that attract multiple audiences, and ad groups that mix different intent levels without guardrails. Once you know which of these applies to your account, the fix becomes much clearer.

Step 2: Pull and Filter Your Search Terms Report

The Search Terms Report is your diagnostic tool. Here's how to access it and set it up for a useful review.

In Google Ads, navigate to your campaign, then look for the Search Terms tab within the Campaigns section. Depending on your interface layout, it may appear under a "Keywords" or "Insights & Reports" menu. Once you're there, you'll see a list of actual user queries that triggered your ads, along with performance data for each.

The first thing to do is set a meaningful date range. A single week of data is rarely enough to spot patterns — you want at least 30 days, and ideally 60 to 90 days for campaigns with moderate or lower spend. A longer window surfaces recurring junk terms that are worth adding to a shared negative keyword list, not just blocking at the campaign level.

Next, make sure the right columns are visible. The most useful columns for identifying waste are:

Impressions: How many times the ad was shown for this query. High impressions with low clicks can signal poor relevance — users saw your ad but didn't find it compelling, likely because the query didn't match their intent.

Clicks: How many times users actually clicked. High clicks with no conversions is a clear red flag.

Cost: How much you've spent on this search term. Sorting by cost descending is the fastest way to find expensive non-converting terms.

Conversions: How many conversions this search term generated. Zero conversions after meaningful spend is your primary filter.

Conv. Rate: Conversion rate helps you compare terms relative to their volume, not just their absolute numbers.

Start by sorting by cost, highest to lowest. Any search term that has spent a noticeable amount without generating a single conversion is an immediate review candidate. Work through these systematically before moving to lower-spend terms.

Don't stop at high-spend terms, though. Also scan for search terms with high impressions and very few or zero clicks. These terms are costing you in a different way: they're dragging down your click-through rate and signaling to Google that your ad isn't relevant to these queries, which can affect your Quality Score over time.

At this stage, you're not making decisions yet — you're building a list of terms to evaluate. Flag anything that looks off and move to the next step.

Step 3: Identify Which Search Terms to Eliminate

Not every non-converting search term is worth blocking. Some terms just need more time or volume before they show results. Others are clearly wrong and should be added as negatives immediately. Here's a practical framework for telling the difference.

A search term qualifies as irrelevant when it represents a fundamentally different audience or intent from what your campaign is designed to reach. The most common categories are:

Wrong intent (informational vs. transactional): A user searching "how to fix a leaking pipe" is looking for DIY instructions. A plumber running ads for "pipe repair service" doesn't want to pay for that click. The intent is informational, not commercial. Block it.

DIY and free-product seekers: Queries containing words like "free," "DIY," "how to do it yourself," or "template" often signal users who aren't looking to pay for a solution. These are worth adding as negative keywords across the account.

Student and academic searchers: Terms that include "for students," "school project," "essay," or "definition of" typically indicate research intent rather than purchase intent.

Wrong geography or language: If you serve a specific region and you're seeing search terms in other languages or referencing other locations, those are clear blocks.

Brand confusion: Sometimes your ads appear for searches that include a competitor's brand name or a completely different company in a different industry. These are worth reviewing — occasionally they're worth targeting intentionally, but usually they're just noise.

Now, there's an important distinction here. Some irrelevant search terms point to a negative keyword gap — the fix is adding a negative. Others point to a match type problem — the fix is tightening the match type on the triggering keyword, or both.

For example, if your broad match keyword "accounting software" is triggering dozens of irrelevant queries, you might add specific negatives for the worst offenders, but also consider whether that keyword should be phrase match instead. Adding negatives alone won't fully solve a structural match type issue.

At the campaign level, negative keywords block irrelevant terms across all ad groups in that campaign. At the ad group level, they apply only to that specific ad group. Use campaign-level negatives for terms that are universally irrelevant to your business. Use ad group-level negatives for terms that might be relevant in one context but not another — for instance, blocking "enterprise" in an ad group targeting small business buyers.

Step 4: Add Negative Keywords the Right Way

Adding negatives is where many advertisers make mistakes — not in identifying what to block, but in choosing the wrong match type when they do it. Getting this wrong can either leave irrelevant traffic running or accidentally block searches you actually want.

There are three negative match types, and they behave differently from their positive counterparts:

Negative broad match blocks any query that contains all the words in your negative keyword, in any order. For example, negative broad match for "free software" would block "free accounting software," "software that is free," and "free software download." This sounds comprehensive, but it can over-block. Use it carefully and only when you're confident every variation of those words is irrelevant.

Negative phrase match blocks queries that contain your negative keyword phrase in the exact order you specify, with other words allowed before or after. Negative phrase match for "free software" would block "download free software" or "free software for small business" but not "software free trial." This is the most practical choice for most junk terms — it catches variations without the risk of over-blocking that comes with negative broad match.

Negative exact match blocks only the precise query, nothing else. Use this when you want to block one very specific search term without affecting any related queries. It's the most surgical option.

For most situations, negative phrase match is the right default. It catches the intent pattern without being so broad that it starts blocking things you want.

To add negatives directly from the Search Terms Report, check the box next to the search term you want to block, then select "Add as negative keyword" from the action menu that appears. Google Ads will prompt you to choose the match type, the level (campaign or ad group), and whether to add it to an existing negative keyword list or create a new one.

Shared negative keyword lists are worth setting up if you're managing multiple campaigns or multiple client accounts. A shared list lets you maintain one master list of universally irrelevant terms — things like "free," "DIY," "how to," or "jobs" — and apply it across all campaigns at once. When you add a new term to the shared list, it automatically applies everywhere. For agencies managing multiple clients in similar industries, this is a significant time saver.

One common pitfall: advertisers who use negative broad match too aggressively end up blocking relevant traffic without realizing it. If your impression volume drops sharply after adding negatives, go back and audit your negative keyword list for terms that might be catching legitimate queries.

If reviewing the Search Terms Report and actioning negatives one by one feels slow, tools like Keywordme are built for exactly this workflow. The Chrome extension lets you flag junk terms and add them as negatives with a single click, directly inside the Google Ads interface — no exporting to spreadsheets, no switching tabs. It's particularly useful during weekly audits when you're moving through a long list of search terms quickly.

Step 5: Review and Tighten Your Keyword Match Types

Once you've added your negatives, take a step back and look at the keywords that generated the most irrelevant traffic. Negatives are a reactive fix — match types are a structural one. Getting both right is what keeps campaigns clean over time.

Broad match keywords will always generate more search term variance than phrase or exact match. That's by design. Google uses signals like your landing page, other keywords in the ad group, and user context to expand the reach of broad match keywords. Sometimes this surfaces genuinely useful traffic you wouldn't have found otherwise. Often, especially in accounts without strong conversion tracking or Smart Bidding, it just generates noise.

The question to ask for each broad match keyword is: is the variance working for me or against me? If a broad match keyword is generating a mix of good and bad search terms, the right move is usually to keep it and add more negatives, not to delete it. If it's generating almost entirely irrelevant traffic despite good negative coverage, switching to phrase match is the more efficient path.

Here's a practical way to think about the decision:

Keep broad match when: You have strong conversion tracking in place, Smart Bidding is active and has enough conversion data to optimize, and you're actively managing negatives. Broad match with Smart Bidding can work well when the algorithm has enough signal to distinguish good traffic from bad.

Switch to phrase match when: You're seeing consistent irrelevant traffic from a specific keyword despite adding negatives, or you want more predictable search term patterns without completely restricting reach.

Use exact match when: You've identified a specific search term that performs well and you want to capture it directly, without relying on match type expansion. If a search term is converting consistently, adding it as an exact match positive keyword is a smart move — it gives you direct control over that query and lets you set a specific bid for it.

One common mistake is removing broad match entirely from an account after a bad experience. Broad match can drive real volume and surface intent patterns you'd miss with tighter match types. The goal is to control it with negatives and Smart Bidding, not necessarily to eliminate it. Think of it as a tool that needs guardrails, not one that's inherently broken.

After adjusting match types, give the campaigns a few weeks to accumulate data, then revisit the Search Terms Report to see whether the variance has narrowed in the way you expected.

Step 6: Set Up a Regular Search Term Audit Routine

Eliminating irrelevant traffic is not a one-time project. Google's matching behavior evolves, user search behavior shifts, and new junk terms appear regularly — especially after Google updates how broad match interprets queries. Campaigns that were clean three months ago can develop new waste if no one is watching.

Building a recurring audit cadence is what separates accounts that stay efficient from those that gradually accumulate waste.

A practical starting point for review frequency:

Weekly: For active campaigns with significant daily spend. At this level, irrelevant clicks accumulate quickly, and a week of delay can mean meaningful wasted budget. A weekly review doesn't need to be exhaustive — focus on new high-cost non-converting terms and any new search themes that don't fit the campaign.

Bi-weekly or monthly: For lower-volume campaigns where spend is more controlled. The risk of missing something is lower, but you still want to catch recurring junk terms before they become a pattern.

During each audit session, look for three things:

New high-cost, non-converting search terms: These are your most urgent action items. Flag them, evaluate intent, and add negatives where appropriate.

New irrelevant search themes: Sometimes you'll notice a cluster of related junk terms appearing — for example, several queries all containing "free" or "DIY." This signals a gap in your negative keyword list that one well-placed negative phrase match term can close.

High-performing search terms worth promoting: Not everything in the Search Terms Report is a problem. If a search term is generating conversions consistently, consider adding it as a positive exact match keyword so you can bid on it directly and track it more precisely.

The main friction point with this routine is time. Exporting the Search Terms Report to a spreadsheet, filtering it, making decisions, then going back into Google Ads to add negatives is a slow loop — and it's the reason many advertisers let audits slip.

This is where Keywordme fits into the workflow. The Chrome extension works directly inside the Google Ads Search Terms Report, so you can review terms, flag junk, and add negatives with a single click without leaving the interface. For agencies managing multiple client accounts, the multi-account support and shared list functionality make the weekly audit significantly faster. It's not doing the thinking for you — you still make every decision — but it removes the mechanical friction that makes the routine feel like a chore.

Your Irrelevant Traffic Elimination Checklist

Here's a quick-reference summary of everything covered in this guide. Run through this each time you audit a campaign:

Understand keywords vs. search terms: Remember that irrelevant traffic comes from search terms, not keywords directly. Your match types determine how much variance is allowed.

Pull the Search Terms Report with a 30-90 day date range: Give yourself enough data to spot patterns, not just one-off anomalies.

Sort by cost and flag non-converting terms: Start with the most expensive non-converting search terms. Then scan high-impression, low-click terms for relevance issues.

Identify irrelevant intent categories: DIY intent, free-product seekers, student/research queries, wrong geography, brand confusion. Know what you're looking for before you start blocking.

Add negatives with the correct match type: Default to negative phrase match for most junk terms. Use negative exact match for surgical blocks. Avoid negative broad match unless you're confident about the scope.

Review and adjust keyword match types: Negatives fix the symptom; match types fix the structure. Evaluate whether broad match keywords are earning their variance or just generating noise.

Schedule a recurring audit cadence: Weekly for high-spend campaigns, bi-weekly or monthly for lower-volume accounts. Make it a fixed part of your campaign management routine.

The best next step right now is to open your Search Terms Report, set a 60-day date range, sort by cost, and work through the top 20 terms. That single session will likely surface your biggest sources of wasted spend.

If you want to make this whole process faster — reviewing terms, adding negatives, building keyword lists — without leaving Google Ads or touching a spreadsheet, Start your free 7-day trial of Keywordme and see how much time you save on your next audit. After the trial, it's $12/month per user — a straightforward cost for the time it gives back.