How to Find Negative Keywords in Google Ads: 2026 Step-by-Step Guide

Finding negative keywords in Google Ads is not simply a matter of looking for search terms with zero conversions.

The safest method is to analyze the actual queries in your Search Terms Report, identify clearly irrelevant intent, measure repeated patterns of wasted spend, and check whether a potential negative keyword could also block valuable traffic.

A practical negative keyword workflow looks like this:

1. Open your Google Ads Search Terms Report.
2. Find search terms with clearly irrelevant intent.
3. Review terms that repeatedly spend without producing useful outcomes.
4. Group repeated words and phrases to uncover waste hidden across long-tail queries.
5. Protect converting, branded, and strategically valuable traffic.
6. Choose the correct negative keyword match type.
7. Apply the negative at the right account, campaign, or ad group level.
8. Continue reviewing new search terms as traffic changes.

The important part is not finding more negative keywords.

It is finding the right negative keywords without blocking searches that may still create value.

What Are Negative Keywords in Google Ads?

Negative keywords tell Google Ads that you do not want your ads to appear for certain search queries.

For example, imagine that you sell paid project management software.

Your ads might appear for searches such as:

• free project management software
• project management jobs
• project management course
• open source project management software
• project management software for agencies

Some of these searches may be irrelevant to your business. Others may still represent valuable prospects.

That distinction is why negative keyword management requires more than downloading a generic list.

The purpose of negative keywords is to reduce irrelevant traffic while preserving searches that can still contribute to your advertising goals.

Search Terms vs. Keywords: Start With the Right Data

Before finding negative keywords, it is important to distinguish between a keyword and a search term.

A keyword is something you add to Google Ads.

A search term is the actual query a person typed before your ad appeared.

For example:

Keyword:

project management software

Possible search terms could include:

• best project management software
• free project management software
• project management software jobs
• simple project management software for small teams

This matters because negative keyword decisions should usually begin with the searches people are actually making—not only with the keywords already inside your account.

Broad match, phrase match, Dynamic Search Ads, automated targeting, and Google's expanding use of machine learning can all create search traffic that looks very different from the original keyword list.

Your Search Terms Report is therefore one of the most important sources for discovering negative keyword opportunities.

Step 1: Open the Google Ads Search Terms Report

In Google Ads, go to:

Campaigns → Insights and reports → Search terms

The Search Terms Report shows actual queries that triggered your ads.

Before reviewing the data, customize the report so you can evaluate both relevance and performance.

Useful columns include:

• Search term
• Keyword
• Match type
• Campaign
• Ad group
• Impressions
• Clicks
• Cost
• Conversions
• Conversion value
• Cost per conversion

The Keyword column is particularly useful because it shows which keyword triggered the search.

This allows you to understand not only whether a search term is good or bad, but also why Google matched the query to your campaign.

Choose a Meaningful Date Range

Avoid making decisions from an extremely short period unless the search term is obviously irrelevant.

For many accounts, reviewing the last 30 days is a useful starting point.

Higher-volume accounts may have enough data to review shorter periods. Lower-volume or high-ticket businesses may need 60 or 90 days before a pattern becomes clear.

The correct window depends on:

• conversion volume
• average CPA
• sales cycle
• click volume
• account maturity
• campaign objective

The goal is to gather enough evidence to distinguish random variation from a repeatable pattern.

Step 2: Find Search Terms With Clearly Irrelevant Intent

The easiest negative keyword candidates are searches whose intent does not match what your business offers.

Suppose you sell accounting software for businesses.

Searches such as:

• accounting jobs
• accounting degree
• accountant salary
• accounting textbook
• accounting course

may represent completely different intentions from someone trying to purchase accounting software.

These searches are often safer negative keyword candidates because the problem is not weak performance.

The problem is intent mismatch.

Common Intent Categories to Review

Depending on your business, possible irrelevant modifiers may include:

• jobs
• careers
• salary
• definition
• meaning
• course
• training
• certification
• template
• PDF
• torrent
• open source
• free
• login
• support
• customer service
• download

But none of these terms should automatically become negatives across every account.

For example:

A company offering a free trial may want searches containing “free.”

A recruitment platform obviously should not exclude “jobs.”

A SaaS company with useful templates may intentionally target “template” searches for lead generation.

The correct question is not:

Is this word usually bad?

The correct question is:

Does this search intent have a realistic path to value for this specific business?

Step 3: Find Search Terms That Spend Without Creating Value

The next category is more difficult.

A search term may be highly relevant to your product but still consume a significant amount of budget without converting.

For example:

It is tempting to sort the report by cost and immediately exclude the most expensive zero-conversion terms.

That can be dangerous.

There Is No Universal “X Clicks = Negative Keyword” Rule

A search term with 20 clicks and zero conversions could be terrible in one account and completely normal in another.

Imagine two advertisers:

Advertiser A

• Average CPC: $2
• Target CPA: $25
• Conversion rate: 10%

Advertiser B

• Average CPC: $15
• Target CPA: $500
• Conversion rate: 3%

Twenty clicks have very different meanings for those two businesses.

Before excluding a relevant search term, compare its performance with the economics of the account.

Ask:

• How much has this term spent relative to the account's normal CPA?
• How many clicks would normally be required to generate a conversion?
• Is this a high-value commercial query?
• Has this search intent converted elsewhere?
• Could conversion lag explain the result?
• Is the term still statistically under-sampled?

Negative keyword decisions should be contextual.

A high-cost search term deserves investigation.

It does not automatically deserve exclusion.

Step 4: Look Beyond Individual Search Terms With N-Gram Analysis

This is where manual Search Terms Report reviews often miss significant waste.

Imagine your account contains these searches:

• free CRM for freelancers
• free CRM for small company
• best free CRM platform
• CRM free download
• free online CRM system
• completely free CRM software

Individually, each search term may have spent only a few dollars.

None of them appears important when you sort the report by cost.

But together, searches containing the word free may have spent hundreds or thousands of dollars.

This is distributed waste — the same pattern that shows up when you look at where Google Ads budgets actually bleed.

What Is N-Gram Analysis?

N-gram analysis breaks search queries into recurring words and phrases.

A 1-gram looks at individual words:

• free
• jobs
• software
• training

A 2-gram looks at two-word combinations:

• free software
• project management
• online course
• customer service

A 3-gram examines three-word combinations:

• free project management
• project management jobs
• project management course

Instead of reviewing thousands of search terms one row at a time, N-gram analysis asks:

Which words or phrases repeatedly appear across expensive or low-value searches?

This can reveal patterns that are almost invisible at the individual-query level.

Example

Consider ten different search terms.

Each spent only $8.

You might ignore every individual query.

But if all ten contain the same irrelevant modifier, that modifier has effectively consumed $80.

Across hundreds or thousands of queries, these patterns can become a meaningful source of wasted spend.

This is why effective search term auditing should evaluate both:

individual search terms

and

patterns shared across multiple search terms

AdKinex uses this principle when analyzing uploaded Google Ads search term data, helping surface recurring terms and patterns that would otherwise require manual aggregation. For a deeper look at how intent, n-grams, and account baselines stack into a verdict, see reading search terms like an auditor.

Step 5: Check Search Intent Before Adding a Negative

Performance metrics tell you what happened.

Search intent helps explain why.

Consider these searches:

• project management software pricing
• project management software free
• project management software tutorial
• best project management software
• project management software login

All of them contain the same product category.

But the user behind each query may be at a very different stage.

Commercial Intent

Examples:

• buy CRM software
• CRM software pricing
• best CRM for agencies
• CRM software comparison

These searches frequently deserve more protection because they indicate evaluation or purchase intent.

Informational Intent

Examples:

• what is CRM software
• how does CRM work
• CRM tutorial

Informational searches may or may not be valuable depending on your campaign strategy.

Navigational Intent

Examples:

• HubSpot login
• Salesforce support
• Zoho CRM customer service

If you are not the brand being searched for, these queries may represent low-value or competitor-navigation traffic.

Employment or Education Intent

Examples:

• CRM jobs
• CRM certification
• CRM training course
• Salesforce developer salary

These searches can be completely irrelevant for a company selling CRM software.

Intent classification prevents you from treating every zero-conversion search term as equally bad.

Step 6: Protect Valuable Traffic Before You Exclude Anything

Finding a suspicious search term is only half of the process.

Before adding a negative keyword, check what else it could block. Proven performers deserve active protection — the same idea behind the six governance states every search term falls into.

This is especially important when you move from a negative exact keyword to phrase or broad negative keywords.

Check Historical Conversions

Suppose you are considering excluding:

free

because searches containing “free” have generated significant cost.

Before making it a broad negative, check whether searches such as:

• free trial accounting software
• accounting software free trial
• try accounting software free

have generated customers.

The modifier may look inefficient in aggregate while still participating in profitable commercial searches.

Protect Brand Terms

Be cautious whenever a candidate negative overlaps with:

• your company name
• product names
• high-performing product categories
• strategic commercial modifiers
• important competitor campaigns
• existing profitable keywords

A negative keyword can solve one traffic problem while silently creating another.

Check Cross-Campaign Conflicts

Sometimes a search is irrelevant to one campaign but highly relevant to another.

For example:

A company offers both accounting software and payroll software.

The word:

payroll

might be irrelevant inside a narrowly focused accounting campaign.

But adding it as an account-level negative could block an entire profitable payroll campaign.

Negative keyword decisions need a scope.

Step 7: Choose the Right Negative Keyword Match Type

Google Ads supports three negative keyword match types for Search campaigns:

• negative broad match
• negative phrase match
• negative exact match

They do not behave exactly like positive keyword match types.

Choosing the wrong negative match type can either leave unwanted traffic untouched or block more traffic than intended.

Negative Exact Match

Example:

[free crm]

A negative exact keyword blocks searches that match the exact negative keyword without additional words.

It is the most conservative way to exclude a specific query.

For example:

Negative exact is useful when:

• one specific search term performs poorly
• the underlying words may still be useful elsewhere
• you do not yet have enough evidence to exclude a wider pattern

When negative keywords are added directly from the Google Ads Search Terms Report, they are added as negative exact match by default.

That makes sense: Google starts with the narrowest exclusion before you deliberately choose a broader rule.

Negative Phrase Match

Example:

"free crm"

Negative phrase match blocks searches containing the phrase in the same order, even when other words appear before or after it.

For example:

Phrase negatives are useful when a specific phrase consistently represents unwanted intent.

They provide wider protection than exact negatives without blocking every search containing the individual words.

Negative Broad Match

Example:

free crm

Negative broad match blocks searches that contain all of the negative keyword terms, even when the terms appear in a different order.

For example:

This can be powerful—but it also requires more confidence.

If the combination of those terms consistently represents irrelevant traffic, negative broad match can eliminate many variations at once.

If not, it can suppress useful searches.

Important: Negative Keywords Do Not Behave Like Positive Keywords

One of the most common mistakes is assuming that Google's negative keyword system automatically understands every related variation.

It does not.

Negative keywords do not automatically cover all close variants, synonyms, singular forms, or plural forms.

For example, excluding one form of a word does not necessarily guarantee that every semantic variation will also be excluded.

Google does account for casing and misspellings, but advertisers still need to think carefully about:

• singular vs. plural forms
• synonyms
• alternate wording
• reordered phrases
• different user intent

This is another reason negative keyword management should be an ongoing process rather than a one-time setup.

Step 8: Choose Where the Negative Keyword Should Apply

A negative keyword can be correct but applied at the wrong level.

Google Ads gives you several ways to control the scope of exclusions.

Ad Group-Level Negative Keywords

Use these when a term is unwanted in one ad group but may be valuable elsewhere.

Example:

An ad group targets:

accounting software for agencies

You may want to exclude a search modifier related specifically to freelancers from this ad group while still targeting freelancers in another part of the account.

This is the narrowest practical level of control.

Campaign-Level Negative Keywords

Use campaign-level negatives when the search intent is irrelevant to an entire campaign.

For example, a campaign dedicated to enterprise software may exclude certain consumer-focused searches.

This keeps the rule contained without affecting unrelated campaigns.

Negative Keyword Lists

Negative keyword lists are useful when multiple campaigns share the same exclusions.

For example, you may maintain reusable lists for:

• employment intent
• education intent
• support queries
• irrelevant industries
• unrelated product categories

Instead of maintaining the same exclusions campaign by campaign, a shared list makes them easier to manage consistently.

Account-Level Negative Keywords

Account-level negatives apply broadly across eligible search and shopping inventory in the account.

They should therefore be reserved for search intent that you are confident has no value anywhere in the account.

Examples might include:

• products your company never sells
• completely unrelated industries
• universally irrelevant intent
• certain brand-safety exclusions

The broader the scope, the higher the cost of making the wrong decision.

Use account-level negatives carefully.

7 Common Negative Keyword Mistakes

1. Downloading a Generic Negative Keyword List and Importing Everything

A list of 500 “negative keywords every advertiser needs” may sound efficient.

But your business is not every advertiser.

Words such as:

• free
• cheap
• review
• comparison
• template
• example

can represent poor traffic for one company and highly valuable traffic for another.

Generic lists can provide ideas.

They should not replace account-specific evidence.

2. Negating Every Search Term With Zero Conversions

Zero conversions do not automatically mean zero value.

The term may:

• have too little data
• be early in the buying journey
• suffer from conversion lag
• belong to a high-value intent cluster
• perform well when aggregated with similar terms

Context matters.

3. Looking Only at High-Cost Individual Queries

A large amount of wasted spend can be distributed across hundreds of low-cost long-tail searches.

If you analyze only the top-spending rows, you may never see the underlying pattern.

Use recurring word and phrase analysis alongside individual search term analysis.

4. Using Broad Negatives Too Quickly

A broad negative can solve a traffic problem efficiently.

It can also block many searches you never intended to exclude.

Start narrow when uncertainty is high.

Expand only when the evidence supports a broader pattern.

5. Ignoring Historical Conversions

A candidate negative may look inefficient during the last 30 days but have generated customers over a longer period.

Before applying a wider negative, check the history of that intent.

6. Applying the Negative at the Wrong Level

A term irrelevant to one ad group is not necessarily irrelevant to the entire account.

Think about scope before pushing the change.

7. Treating Negative Keyword Management as a One-Time Task

Search traffic changes.

Google's matching systems evolve.

New products launch.

Campaign structures change.

User language changes.

A negative keyword list that made sense six months ago may not reflect today's search behavior.

Negative keyword management should be continuous.

A Practical Negative Keyword Decision Framework

Before adding a negative keyword, run through these questions:

1. Is the search intent relevant?

If clearly no, the term is a strong candidate.

2. Has the term spent enough to justify a decision?

If not, you may need more data.

3. Does the same pattern appear across other search terms?

Look for recurring words and N-grams.

4. Has this term or pattern produced conversions before?

Protect proven traffic.

5. Could the negative block another valuable search?

Check nearby queries and semantic context.

6. What is the narrowest effective match type?

Use exact when uncertainty is high.

Expand only when the broader pattern is clearly unwanted.

7. What is the correct scope?

Choose between:

• ad group
• campaign
• shared list
• account

This turns negative keyword management from a simple delete operation into a repeatable decision process.

How Often Should You Review Search Terms?

There is no single schedule that works for every account.

High-spend accounts may need frequent review.

Smaller accounts may not generate enough new data to justify daily analysis.

A useful principle is:

Review search terms frequently enough that meaningful waste does not accumulate unnoticed, but not so frequently that you make decisions from insufficient data.

The more Google Ads relies on broad matching and automated systems to discover demand, the more important independent search term review becomes.

Automation can expand reach.

Search term auditing determines whether that expansion is producing traffic you actually want.

Can You Automate Negative Keyword Research?

Yes, parts of the process can be automated.

Software can help identify:

• high-cost search terms
• zero-conversion terms
• recurring N-grams
• repeated intent patterns
• unusual search traffic
• historical performance
• potential negative keyword candidates

But automation should not reduce the process to:

Cost > X = add negative keyword.

The difficult part is deciding whether the search is genuinely unwanted.

A good system needs to distinguish between:

bad performance with meaningful intent

and

bad traffic caused by irrelevant intent

Those are not the same problem.

Find Negative Keyword Opportunities With AdKinex

Manual Search Terms Report analysis works well when an account has a small number of queries.

The process becomes harder when an account generates hundreds or thousands of search terms.

Important patterns become distributed across long-tail searches.

Individual rows hide recurring waste.

And aggressive exclusions can accidentally block traffic that still has value.

AdKinex is built to help analyze Google Ads search term data more systematically.

Upload your Search Terms Report to review search traffic, surface recurring patterns, identify potential negative keyword opportunities, and inspect the reasoning before taking action.

Rather than asking only:

Which search terms spent money without converting?

AdKinex helps you ask the more important question:

Which search terms or recurring patterns are actually safe to block?

Frequently Asked Questions

Final Takeaway

Finding negative keywords is not about building the longest possible exclusion list.

It is about controlling where your advertising budget goes.

Start with real Search Terms Report data.

Identify clearly irrelevant intent.

Look for waste distributed across recurring words and phrases.

Compare poor performance against the economics of the account.

Protect searches that have demonstrated value.

Then apply the narrowest negative keyword rule that solves the problem.

The strongest negative keyword strategy is not the one that blocks the most searches.

It is the one that removes unwanted traffic without cutting off the demand you still want to capture.