How to Filter Irrelevant Traffic in Google Ads: A Step-by-Step Guide

If you're running Google Ads and watching your budget drain on clicks that never convert, irrelevant traffic is likely the culprit. Google's broad matching behavior means your ads can show up for searches that have little to do with what you actually sell. Think job seekers clicking your B2B software ad, students researching a topic you happen to sell products around, or DIY enthusiasts looking for free solutions when you're offering a paid service.

The frustrating part is that this isn't a bug. It's how Google's matching system works by design. And without active management, it quietly eats through your budget while your conversion rate stays flat.

The good news: most irrelevant traffic is filterable. This guide walks you through a practical, repeatable six-step process for identifying and blocking irrelevant traffic in Google Ads. You'll go from auditing your search terms report to building a negative keyword strategy that holds up over time. No spreadsheets required.

By the end, you'll know exactly which search terms are wasting your budget, how to block them efficiently using the right match types, and how to set up a weekly review workflow that keeps junk traffic from creeping back in. Whether you're a solo advertiser managing one account or an agency handling dozens of clients, this process applies directly to your situation.

Let's get into it.

Step 1: Understand Why Irrelevant Traffic Happens

Before you can fix the problem, it helps to understand the mechanics behind it. There's a foundational distinction that trips up a lot of Google Ads users: the difference between keywords and search terms.

Keywords are what you bid on. They're the terms you enter into Google Ads to tell the system which searches you want your ads to appear for. Search terms are what users actually typed into Google before clicking your ad. These two things are not the same, and the gap between them is where irrelevant traffic lives.

When you use broad match or phrase match keywords, Google doesn't just show your ads for exact matches. It expands your targeting to queries it considers "related." Over time, Google's matching has become more expansive, which means the definition of "related" has gotten looser. A broad match keyword like "project management software" might trigger your ad for "free project management tools for students" or "project management certification course" — neither of which is a buying query.

Some of the most common irrelevant traffic patterns include:

Informational queries: Searches using "how to," "what is," "tutorial," or "guide" signal research intent, not purchase intent. Users are looking for information, not a vendor.

Job and career searches: Queries like "google ads jobs" or "PPC manager salary" can trigger ads in the marketing software space. These users are job hunting, not buying.

DIY and free-solution seekers: Searches containing "free," "DIY," or "do it yourself" suggest the user wants to avoid paying for a solution. They're not your customer right now.

Student and academic traffic: Terms like "google ads for beginners assignment" or "PPC course" attract learners, not buyers.

Competitor brand names: Broad match can trigger your ads when someone searches for a competitor by name, especially if you share category terminology.

Understanding these patterns matters because it shapes how you categorize and block irrelevant terms in the steps that follow. The problem isn't always that you're bidding on the wrong keywords. Sometimes it's that your match types are too permissive, and Google is filling in the gaps with traffic you never intended to buy.

Step 2: Pull and Review Your Search Terms Report

The search terms report is your primary diagnostic tool. It shows you the actual queries that triggered your ads and resulted in clicks. This is where you find out what you're actually paying for.

To access it in Google Ads, navigate to your campaign, then look for the Search terms tab. Depending on your interface view, you may find it directly within the campaign view or under Insights & reports > Search terms. If you don't see it immediately, check that you're inside a Search campaign, not a Display or Performance Max campaign.

Once you're in the report, set your date range to at least the last 30 days. If your account has lower traffic volume, extend it to 60 or 90 days so you have enough data to spot patterns. A single week of data can be misleading.

Now sort by cost descending. This surfaces the search terms that have consumed the most budget first, which is exactly where you want to start. You're not looking for every irrelevant term right away. You're looking for the ones doing the most damage.

As you scan through the list, look for:

Clicks with zero conversions: A search term with multiple clicks and no conversions isn't automatically irrelevant, but it's worth scrutinizing. Ask whether the query matches the intent of someone likely to buy from you.

Low-relevance queries: Does the search term relate to what you sell? If you're advertising accounting software and you see "accounting homework help" in your report, that's a clear mismatch.

Informational or navigational intent: When you need commercial intent (users ready to evaluate or purchase), informational queries are a drain. Terms like "how does [your product category] work" or "what is [your service]" may not be your buyers.

One important note: keep the keyword-versus-search-term distinction clear as you review. The search terms report shows you actual user queries, not your keyword list. Don't confuse the two when making decisions about what to block.

If you're managing multiple campaigns, running this review across each one manually is time-consuming. Tools like Keywordme surface search term data directly inside the Google Ads interface, letting you take action without exporting to a spreadsheet or switching between tabs.

Step 3: Identify and Categorize Irrelevant Search Terms

Reviewing your search terms report gives you raw data. Categorizing what you find turns that data into an actionable negative keyword strategy. The goal here is to spot patterns, not just individual bad terms.

Group the irrelevant search terms you've identified into categories. Common ones include:

Informational intent: Terms containing "how to," "what is," "tutorial," "guide," "learn," "course," or "certification." These users are researching, not buying.

Free or low-cost signals: Terms containing "free," "cheap," "affordable," "DIY," or "open source." These users may not be willing to pay for your solution.

Job and career queries: Terms like "[your industry] jobs," "[your product] salary," or "[your category] career." These are people looking for employment, not a product.

Competitor brand names: If a competitor's name is appearing in your search terms, broad match is pulling in brand-comparison or direct-competitor searches.

Unrelated industries sharing terminology: Some words mean different things in different contexts. If you sell "Mercury" branded products, you might get traffic from people searching for Mercury cars or the planet.

To make this concrete: imagine an agency running Google Ads for a B2B SaaS client. After pulling the search terms report, they find queries like "google ads tutorial," "google ads certification exam," and "google ads jobs near me" racking up spend. None of these represent buyer intent. They're informational, academic, and career-related queries that the broad match keyword "google ads" happened to trigger. This is an illustrative example, but it reflects a pattern that's common in software and marketing categories.

As you categorize, flag terms that are borderline. Some informational queries do convert for certain businesses. A "how to" search might convert for a tool that solves a specific task. Don't over-block. The goal is to remove traffic that clearly doesn't match your buyer profile, not to eliminate every non-commercial query by default.

Also distinguish between terms that should become negatives and terms that signal a match type problem. If a single broad keyword is generating dozens of irrelevant queries, the issue may be the keyword itself, not just the individual search terms. In that case, tightening the match type (covered in Step 5) may be more effective than adding a long list of negatives.

Step 4: Add Negative Keywords to Block Irrelevant Traffic

Now you're ready to act on what you've found. Adding negative keywords is how you tell Google which search terms should never trigger your ads. There are a few decisions to make: where to add them and which match type to use.

Where to Add Negative Keywords

Google Ads gives you three levels for negative keywords, and choosing the right one matters.

Ad group-level negatives apply only to a specific ad group within a campaign. Use these when you want granular control, for example, if one ad group should block a term that another ad group should still be eligible for.

Campaign-level negatives apply to all ad groups within a single campaign. This is appropriate for terms that are irrelevant to the entire campaign, not just one ad group.

Shared negative keyword lists apply across multiple campaigns. You build the list once under Tools > Shared library > Negative keyword lists, then attach it to any campaign you choose. This is especially useful for agencies managing multiple clients or advertisers running several campaigns with overlapping irrelevant traffic patterns.

For most accounts, a combination of campaign-level negatives and a shared list is the most efficient approach. You block campaign-specific irrelevant terms at the campaign level, and you maintain a master list of universally irrelevant terms (job queries, free-solution seekers, competitor names) in a shared list that covers all campaigns.

Which Match Type to Use for Negatives

Negative keyword match types work differently from positive keyword match types. Getting this wrong can either under-block (still showing for irrelevant terms) or over-block (accidentally excluding relevant traffic).

Negative exact match blocks your ads only when the search query matches that exact term, in that exact order, with no additional words. Use this for specific irrelevant queries you've confirmed in your search terms report.

Negative phrase match blocks your ads when the search query contains that exact phrase, in order, anywhere within it. This is effective for intent-based patterns. Adding "how to" as a negative phrase match blocks any query containing "how to" in sequence, which covers a wide range of informational queries efficiently.

Negative broad match (the default when you add a negative keyword) blocks your ads when the search query contains all the words in your negative keyword, in any order. Use this carefully. It can over-block in ways that aren't obvious. For example, adding "project free" as a negative broad match could inadvertently block queries like "free project management software trial" if the words appear in any order.

In practice, negative exact match is the safest choice for specific confirmed irrelevant terms. Negative phrase match works well for intent-based patterns like "how to," "free," or "tutorial." Avoid negative broad match unless you're confident about the scope of what it will block.

You can add negative keywords directly from the Search Terms report by selecting a term and clicking Add as negative keyword. This is the fastest method for acting on what you've just reviewed. Keywordme enables the same one-click action directly inside the Search Terms Report, letting you apply the right match type and add negatives without leaving Google Ads or touching a spreadsheet.

Step 5: Tighten Your Match Types to Reduce Future Irrelevance

Negative keywords fix the symptoms of irrelevant traffic. Match type adjustments address one of the root causes.

Here's a quick refresher on how the three positive keyword match types behave:

Exact match shows your ad only when someone searches for your keyword or a very close variant (such as a plural, misspelling, or reordering of words Google considers equivalent). It gives you the tightest control over which searches trigger your ads.

Phrase match shows your ad when the search query contains your keyword phrase in the correct order, but may include additional words before or after. It's more flexible than exact match but more controlled than broad match.

Broad match gives Google the most latitude to decide what counts as "related" to your keyword. It can drive volume, but it also generates the most irrelevant traffic, especially in accounts without a strong negative keyword list.

If your search terms report shows that broad match keywords are responsible for most of your irrelevant traffic, consider shifting your highest-spend broad match keywords to phrase or exact match. Start with the keywords generating the most wasted spend, not all of them at once.

That said, broad match isn't always the wrong choice. When paired with smart bidding strategies and a well-maintained negative keyword list, broad match can surface queries you wouldn't have thought to bid on explicitly. The issue arises when broad match runs without active oversight. It requires more management, not less.

To identify which keywords are causing the most problems, go back to your search terms report and look at the "Match type" column. Filter or sort by broad match to see which keywords are generating the widest variety of queries. Those are your candidates for match type tightening.

Changing a keyword's match type in Google Ads means pausing the existing keyword and adding a new version with the tighter match type. You'll want to monitor performance after making changes, since tightening match types reduces reach and can lower impression volume before conversion rates improve.

Step 6: Build a Repeatable Weekly Review Process

Filtering irrelevant traffic is not a one-time task. Google's matching evolves, new search trends emerge, and new irrelevant queries will appear in your account over time. The accounts that stay clean are the ones with a consistent review rhythm.

Set a recurring task to review your Search Terms report weekly for active campaigns, or bi-weekly for smaller accounts with lower traffic. Each time you review, filter the date range to the last 7 to 14 days so you're looking at new data, not rehashing terms you've already handled.

During each review session:

1. Sort by cost descending and scan for new irrelevant terms that have accumulated spend.

2. Add confirmed irrelevant terms as negative keywords at the appropriate level (ad group, campaign, or shared list).

3. Check whether any new terms suggest a match type issue rather than just a negative keyword gap.

4. Update your shared negative keyword list with any universally irrelevant terms so they carry over to new campaigns automatically.

For agencies managing multiple client accounts, this process benefits from standardization. Document the common irrelevant term patterns you encounter by industry. A shared negative keyword list built from one client's account often applies directly to a new client in the same category, saving setup time significantly.

Keywordme supports this kind of workflow. Its bulk negative keyword actions and multi-account management features work directly inside the Google Ads interface, which means your team can run through search term reviews across multiple accounts without switching between tools or maintaining separate spreadsheets for each client.

Over time, a consistent review process produces measurable results. As junk traffic decreases, your clicks become more qualified. Cost per click may not change dramatically, but the quality of traffic hitting your landing pages improves, and that tends to show up in conversion rates and cost per acquisition.

Your Six-Step Checklist for Filtering Irrelevant Traffic

Here's the full process in a quick-reference format you can return to each week:

1. Understand the mechanics: Know the difference between keywords (what you bid on) and search terms (what users typed). Irrelevant traffic happens when match types allow Google to expand beyond your intended targeting.

2. Pull your Search Terms report: Navigate to your campaign's Search terms tab, set a 30-day minimum date range, and sort by cost descending to find the highest-spend irrelevant queries first.

3. Categorize what you find: Group irrelevant terms by intent type: informational, free/DIY, job-related, competitor brand, or off-category. Look for patterns, not just individual terms.

4. Add negative keywords: Choose the right level (ad group, campaign, or shared list) and the right match type (negative exact for specific terms, negative phrase for intent patterns). Add directly from the Search Terms report when possible.

5. Tighten match types where needed: If broad match keywords are generating most of your irrelevant traffic, shift the worst offenders to phrase or exact match for tighter control going forward.

6. Review weekly: Set a recurring review cadence, maintain a shared negative keyword list, and document patterns by industry if you manage multiple accounts.

This is a system, not a one-time fix. The accounts that waste the least on irrelevant traffic are the ones where someone is consistently running this process.

If you want to run through this workflow faster, Keywordme lets you remove junk search terms, build high-intent keyword lists, and apply match types instantly right inside Google Ads. No spreadsheets, no switching tabs, just quick, seamless optimization. Start your free 7-day trial (then just $12/month) and take your Google Ads optimization to the next level.