How to Eliminate Low Quality Traffic in Google Ads: A Step-by-Step Guide

Low quality traffic is one of the leading causes of wasted Google Ads budget — clicks from the wrong searchers, irrelevant query matches, and audiences that never convert. This guide delivers a practical, repeatable process to audit your search terms report, build negative keyword lists, tighten match types, and establish a review cadence that keeps junk traffic from eroding your results.

Low quality traffic is one of the most common reasons Google Ads campaigns burn through budget without producing results. You're getting clicks, but they're coming from the wrong people: searchers who were never going to convert, irrelevant queries that Google matched to your keywords, or audiences that have nothing to do with your offer.

The result is inflated costs, a poor cost per conversion, and a search terms report full of noise.

This guide walks you through a practical, repeatable process to identify and cut low quality traffic from your Google Ads campaigns. No vague advice, no filler—just the specific steps that actually move the needle. By the end, you'll know how to audit your search terms report, build out negative keyword lists, tighten your match types, and set up a review cadence that keeps junk traffic from creeping back in.

Before we get into it, one distinction worth locking in: a keyword is what you bid on. A search term is the actual query a user typed that triggered your ad. These are different things, and the difference matters throughout every step below.

Whether you're managing a single account or juggling multiple clients, these steps apply directly to how Google Ads works today.

Step 1: Audit Your Search Terms Report to Find the Junk

The search terms report is where this process starts. It shows you the actual queries that triggered your ads and generated clicks—which means it's also where low quality traffic becomes visible for the first time.

To access it, navigate to your Google Ads account and look for the Search Terms report under Campaigns, then Insights and Reports. The exact menu label can shift as Google updates its interface, but the report is consistently available in that general area.

Once you're in, set your date range to at least 30 days. Sixty to ninety days gives you more data to work with, which makes patterns easier to spot and reduces the risk of excluding a term based on a single irrelevant click. Then sort by cost, descending. This surfaces the queries that have spent the most of your budget first, which is where your attention should go.

Now start scanning. You're looking for clear mismatches between what you're offering and what the searcher was looking for. Common patterns include:

Brand names you don't carry: Someone searching for a specific brand you don't sell is unlikely to convert on your ad.

Informational queries: Terms starting with "how to," "what is," "why does," or "can I" typically signal a user who's researching, not buying. These can be worth targeting intentionally in some funnels, but if they're appearing by accident, they're usually wasted spend.

Competitor names (unintentional): If you're not deliberately running a competitor-targeting campaign, competitor brand names showing up in your search terms report is a problem worth addressing.

Unrelated industries or products: Sometimes broad match pulls in queries from completely different verticals. A plumbing supply company showing ads to people searching for software tools is a straightforward example of this kind of mismatch.

Terms with zero conversions and significant spend: Flag anything that has eaten meaningful budget without producing a single conversion. These are your primary targets.

One important rule for this step: don't exclude anything yet. Just document what you find. You might use a spreadsheet, a notes doc, or a tagging system inside whatever tool you prefer. The goal here is to get a clear picture of the problem before you start making changes. Acting too fast without categorizing first is one of the most common mistakes advertisers make—and it leads to accidentally blocking traffic that was actually working.

Step 2: Categorize Traffic by Intent Before You Act

Not all irrelevant traffic is equally harmful, and not everything that looks irrelevant at first glance actually is. Before you start excluding terms, spend time categorizing what you found in Step 1. This prevents you from cutting traffic that occasionally converts while making sure you act quickly on the clear junk.

A simple four-category system works well here:

Category 1: Clear negatives. These are terms completely unrelated to your offer. Wrong industry, wrong product, or intent that directly conflicts with your business model (for example, "free" or "DIY" queries when you sell a paid service). These should be excluded without hesitation.

Category 2: Borderline terms. These are queries that could plausibly convert but haven't yet in your data. Maybe they've had five clicks and no conversions, but the intent isn't obviously wrong. These need more data before you make a call. Mark them to watch rather than exclude immediately.

Category 3: Competitor terms. Competitor brand names require a deliberate decision. If you're intentionally bidding on competitor terms as a strategy, that's one thing. If they're appearing because broad match pulled them in, decide now whether you want them or not—don't leave it to chance.

Category 4: Informational queries. Queries like "what is," "how does," or "X vs Y" typically have low commercial intent. They can be worth targeting at the top of a funnel if your campaign is designed for that, but if your campaign is built for bottom-of-funnel conversions, these are usually wasted clicks.

Why does categorizing first matter? Because excluding a term that occasionally converts costs you revenue. Excluding clear junk saves budget immediately with no downside. Treating every irrelevant-looking term the same way leads to over-blocking, which can quietly hurt campaign performance.

A simple tagging approach works: label each flagged term as "exclude now," "watch," or "keep." That gives you a clear action list for the next step without requiring you to make judgment calls under pressure.

Step 3: Build and Apply Your Negative Keyword Lists

With your categorized list ready, you can start adding negatives. This is where you actually stop the bleeding.

The most direct method is adding negatives straight from the Search Terms Report. Google Ads lets you select a search term and add it as a negative keyword without leaving the report. For a short list, this works fine. For a longer list, it can get tedious quickly—more on that in a moment.

Before you start adding, you need to make two decisions for each negative: the level and the match type.

Choosing the right level: Campaign-level negatives apply only to the campaign you add them to. Account-level negatives, managed through shared negative keyword lists, apply across every campaign you attach the list to. If a term is irrelevant to your entire account (for example, "jobs," "salary," "free," or "DIY"), add it to a shared list so it's blocked everywhere. If a term is only irrelevant to one specific campaign, add it at the campaign level.

Choosing the right match type for negatives: This is where many advertisers make mistakes. Negative match types work differently from positive keyword match types.

A broad negative blocks any query containing that word, in any order. This is powerful but can over-block if you're not careful. A phrase negative blocks queries containing that exact sequence of words. An exact negative blocks only that precise query. If you use exact match negatives when you actually need phrase match, you'll find many irrelevant variations still slipping through.

For most common junk terms ("free," "cheap," "jobs"), broad negatives are appropriate. For more specific exclusions where you only want to block a particular context, phrase or exact negatives give you more control.

Building a shared negative keyword list for account-wide exclusions is worth the setup time. Common candidates include navigational or employment-related terms, free-intent modifiers, and any industry-specific terms that are consistently irrelevant to your offer.

If you're working through a long list of terms in the Search Terms Report, the process of adding negatives one by one through Google's native interface can take a while. Keywordme's Chrome extension is built specifically for this workflow: it lets you add negatives with a single click directly inside the Search Terms Report, without opening separate menus or leaving the Google Ads interface. For accounts with significant junk to clear, that speed difference adds up.

After you've applied your negatives, verify they're working. Check the Search Terms Report in the following weeks and confirm the excluded terms are no longer appearing. If they are, revisit the match type you applied—there's a good chance you used exact match when phrase match was needed.

Step 4: Tighten Match Types to Prevent Future Junk

Negative keywords fix the problems you've already identified. Match type strategy is what reduces how many new problems appear going forward.

Broad match gives Google the most latitude to match your keywords to user queries. It's the most expansive option, and with Google's AI-driven matching becoming more aggressive over time, broad match today reaches a wider range of queries than it historically did. That reach can be valuable when it's working, but it's also the most common source of irrelevant traffic in accounts that haven't layered in strong negative keyword coverage.

If your audit revealed that broad match keywords are generating a disproportionate share of junk search terms, consider shifting your highest-spend broad match keywords to phrase or exact match.

Phrase match requires the core meaning of your keyword to be present in the query, while allowing variations. It's a reasonable middle ground for most campaigns: more control than broad, more reach than exact.

Exact match gives you the tightest control, showing your ad only for queries that match the intent of your keyword closely. Use it for your highest-value, highest-intent terms where precision matters more than volume.

To audit your current match type mix, look at your keywords list and note what proportion is broad versus phrase versus exact. If the majority is broad and you're seeing consistent irrelevant traffic, that's a contributing factor worth addressing.

A few practical guidelines for making changes:

Don't switch everything at once. Start with your highest-spend broad match keywords that are generating the most irrelevant search terms. Changing too many keywords simultaneously makes it hard to isolate what's working.

Don't eliminate broad match entirely. Broad match can drive good results when it's constrained by a solid negative keyword list and monitored regularly. The goal is to use it intentionally, not to remove it wholesale. Keep it where it's performing and add negatives to constrain it where it isn't.

Match type adjustments and negative keywords work together. Neither alone is as effective as both applied in combination.

Step 5: Review Your Audience and Targeting Settings

Keyword strategy accounts for a large portion of low quality traffic, but it's not the only source. Your targeting settings also determine who sees your ads, and gaps there can undermine everything you've done in the previous steps.

Location targeting: Check whether you're targeting the right locations and, just as importantly, check which location targeting setting you're using. Google Ads offers "Presence or interest" and "Presence" as options. "Presence or interest" will show your ads to people outside your target area who are searching about it—for example, someone in another country researching your city. If your business only serves a specific geography, switching to "Presence" ensures your ads reach people who are actually in that location.

Ad schedule: Are your ads running at times when your target audience is unlikely to convert? Review your performance by hour of day and day of week. If certain time windows consistently show high spend and low conversion rates, adjusting your ad schedule or applying bid adjustments for those periods can reduce wasted spend.

Device performance: Check how your campaigns are performing across desktop, mobile, and tablet separately. If mobile traffic is consistently generating clicks without conversions, reducing your mobile bid adjustment is a straightforward way to limit spend on that device type without turning it off entirely.

Audience segments: If you have audience segments applied in observation mode, review their performance data. Audiences with high costs and zero conversions over a meaningful time period are candidates for exclusion. This is especially relevant for display and Performance Max campaigns, but it applies to search as well.

These settings compound with keyword targeting. Fixing your keywords without reviewing these settings leaves a secondary source of low quality traffic open. Think of it as closing the front door while leaving the side window unlocked.

Step 6: Set a Weekly Search Terms Review Cadence

Everything you've done in the previous steps will degrade over time if you don't maintain it. New junk terms appear constantly as campaigns run, user behavior shifts, and Google's matching evolves. Eliminating low quality traffic is not a one-time project—it's an ongoing process.

The most effective way to stay on top of it is to block recurring time in your calendar specifically for Search Terms Report review. Weekly works well for active campaigns with meaningful spend. Bi-weekly is workable for smaller accounts or campaigns with lower daily budgets.

During each review session, the process is straightforward: filter for the past seven to fourteen days, sort by cost, identify new irrelevant terms, categorize them using the same system from Step 2, and add the clear negatives to your lists. The whole thing should take fifteen to thirty minutes once you've done it a few times and your negative lists are in good shape.

For agency owners managing multiple client accounts, prioritize your review schedule by account spend. Higher-spend accounts accumulate junk faster and the cost of delay is higher, so they warrant more frequent attention.

It also helps to establish a personal threshold for exclusion decisions. For example, you might decide that any term with a certain number of clicks and zero conversions after a set period is an automatic exclude candidate. The right threshold depends on your average cost per click and the value of a conversion in that account—there's no universal number. Setting your own threshold removes the guesswork during each review and makes the process faster.

For teams managing multiple client accounts, Keywordme's multi-account support and bulk editing features are directly relevant here. Rather than processing each account's search terms one by one through Google's native interface, you can move through a week's worth of junk terms across accounts considerably faster. The extension handles the repetitive clicking so you can focus on the judgment calls.

The signal that your process is working: over time, your search terms report should show a higher proportion of relevant, converting queries and fewer irrelevant ones. That ratio improving week over week is confirmation that the cadence is doing its job.

Your Action Checklist Before You Start

Cutting low quality traffic from Google Ads comes down to a consistent process: audit your search terms, categorize what you find, add the right negatives, tighten match types where needed, check your targeting settings, and repeat on a schedule. None of these steps require advanced technical skills. They require discipline and a regular review habit.

Here's a quick checklist to keep things on track:

Pull at least 30 days of search terms data. Sixty to ninety days is better if your campaign has the history.

Sort by cost to find the biggest offenders first. Focus your attention where the budget is going.

Categorize terms before excluding anything. Clear negatives, borderline terms, competitor terms, and informational queries each need a different response.

Apply negatives at the right level. Campaign-level for campaign-specific issues, shared lists for account-wide exclusions.

Use the right negative match type. Phrase match covers more irrelevant variations than exact match in most cases.

Review match types on your highest-spend keywords. If broad match is generating significant junk, consider shifting to phrase or exact on those specific keywords.

Check location, device, and schedule settings. Keywords aren't the only source of low quality traffic.

Set a recurring review date in your calendar. Without a cadence, junk terms accumulate silently.

If you want to move through the Search Terms Report faster without toggling between spreadsheets and the Google Ads interface, Keywordme's Chrome extension lets you add negatives, apply match types, and build keyword lists with single clicks—right inside Google Ads. Start your free 7-day trial and see how much faster the process gets when the tool is built into the workflow you're already using.

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