Negative Keyword Strategy for 2026: Lists, Scripts, and Automation Tips

Every dollar your Google Ads account spends on an irrelevant click is a dollar that could have driven a conversion. And in 2026, the irrelevant-click problem is worse than ever. The explosion in search query diversity driven by AI-powered matching means advertisers are seeing 3-5x more unique search queries than they did just two years ago. Broad match keeps expanding. AI Max casts wider nets. Performance Max touches every channel Google owns. The common thread? Each of these shifts gives Google's algorithms more latitude to match your ads to queries you never anticipated.

The average Google Ads advertiser wastes 15-30% of their budget on irrelevant clicks. For a company spending $50,000 a month, that's $7,500-$15,000 disappearing into searches that will never convert. Negative keywords are the primary mechanism you have to stop that bleeding-and most advertisers are doing it wrong, doing it too little, or doing it too late. This guide covers the full negative keyword workflow from a practitioner's perspective: how match types actually work (they're not what you think), how to build and organize lists that scale, how to use scripts and n-gram analysis to find waste faster, and how to maintain your lists so they don't silently sabotage your own campaigns.

How Negative Keyword Match Types Actually Work (and Where They Diverge from Positive Keywords)

The single most common mistake in negative keyword management starts with a misunderstanding of match types. Negative match types haven't changed-they still work exactly as originally designed. That's fundamentally different from positive keywords, where phrase match, broad match, and close variants have been overhauled multiple times. Here's what that means in practice:

• Negative broad match blocks your ad when the search contains all your negative keyword terms, in any order.

Your ad may still show if the search contains only some of your keyword terms.

• Negative phrase match blocks your ad when the search includes the exact keyword terms in the same order-additional words before or after don't matter.

The search may include additional words, but the ad won't show as long as all the keyword terms are included in the search in the same order.

• Negative exact match blocks only when the search matches the keyword terms precisely, in the same order, with no extra words.

The critical divergence: negative keywords won't match to close variants or other expansions. If you add "flowers" as a negative broad match, ads won't be eligible to serve when a user searches "red flowers", but can serve if a user searches for "red flower." You need to manually add synonyms, singular/plural forms, and abbreviations yourself. Unlike regular keywords, which use AI to match your ads to synonyms and related intent, negative keywords do not match to synonyms. If you add "shoes" as a negative, your ad could still show for "sneakers," "boots," or "footwear."

The Default Match Type Trap

When you add a new negative keyword, Google defaults to exact match. That's not an accident. Exact match blocks the fewest searches, which keeps your spend higher. This means if you add a negative keyword directly from the search terms report without changing the match type, you're only blocking that exact query. Tomorrow, the same irrelevant root word will appear with one extra word tacked on, and your ads will show again.

When you add a negative from the Search Terms Report, Google defaults to exact match. You almost always want to change it to phrase match before saving. Build this into your workflow as a non-negotiable step.

Building Negative Keyword Lists That Scale

Random negative keywords added one at a time to individual campaigns don't scale. The professional approach is building structured, shared lists that can be applied across campaigns in seconds.

You can create a maximum of 20 negative keyword lists per account, with up to 5,000 negative keywords in each list. That's 100,000 potential negative keywords across all lists-far more capacity than most advertisers realize.

Structuring Your Lists by Category

The most effective framework segments lists by purpose. Here are categories worth maintaining:

• Universal negatives: Terms irrelevant to virtually any commercial campaign (job-related queries, DIY/tutorial terms, adult content terms, "free," "torrent," "crack")
• Industry negatives: Terms specific to your sector that attract wrong-fit traffic
• Competitor negatives: Competitor brand names if you don't want brand conquest traffic
• Geographic negatives: Cities, states, or countries you don't serve
• Seasonal negatives: Terms you toggle on and off based on business cycles

Separate your negatives into evergreen negatives (competitor names, job searches, and completely irrelevant categories) that you can review annually, and seasonal negatives (terms that don't work during certain periods) that you swap in and out based on your business calendar. Set specific calendar reminders to activate/deactivate seasonal lists.

Pre-Launch Lists Save Money from Day One

You don't have to wait for a campaign to collect click data to start adding negative keywords. Add as many as you can before launching the ad campaign. Most industries have a large list of common irrelevant keywords you can block before setting a campaign live.

Agencies benefit especially from maintaining master lists. If you have a lot of industry-specific accounts, you may want to consider taking this one step further-universal negative lists by industry. Having a list for dentists or plumbers makes account building much easier. It's likely that searches come up that you'll want to block in one industry but not another.

Performance Max Negative Keywords: The 2025-2026 Transformation

Performance Max negative keywords deserve their own section because the landscape changed dramatically. Google announced that while negative keywords are helpful, the cap of 100 felt too restrictive. That's why they started to roll out an update raising the limit to 10,000 negative keywords per campaign, now available in all Performance Max campaigns.

This was a 100x increase from the original limit. By August 2025, Google officially completed the rollout of negative keyword lists for Performance Max, enabling advertisers to create shared lists and apply them across multiple campaigns simultaneously.

Two things to keep in mind. First, Performance Max negative keywords are applicable to Search and Shopping inventory only. Display and YouTube impressions within your PMax campaign are not affected by negative keywords, which remains a significant blind spot. Second, thanks to the rollout of full Search Terms Report access within Performance Max, advertisers can now see the exact queries that triggered their ads. You finally have both the visibility and the control mechanism.

A Practical PMax Negative Keyword Workflow

Start by auditing your PMax search terms report, which is now accessible the same way you'd pull a standard Search campaign report. Sort by impressions first, then by cost. Sort your search terms by highest to lowest impressions. Filter out queries above a desirable minimum CTR. Add these as negatives to limit exposure to low relevance queries. This will help increase your overall CTR and you may see your CPC start to drop as a result.

For most advertisers, high-impact categories include brand safety terms, competitor brands, price-focused searches for premium brands, job-seeking terms, DIY and tutorial terms, and informational intent queries. A well-structured initial list across these categories typically runs 400-800 keywords.

N-Gram Analysis: Finding Waste at Scale

Reviewing search terms one at a time is the slow way. N-gram analysis is the fast way-and it reveals patterns that individual term reviews miss entirely.

N-grams are one, two, or three-word patterns found in your search terms. You can aggregate performance data for each n-gram to evaluate its impact on your account. Instead of looking at 10,000 individual search queries, you might be looking at 2,000 word patterns that each contain dozens of related queries.

An account with a million search terms often only has 30,000-50,000 n-grams. That compression ratio is what makes this approach powerful.

How N-Grams Expose Hidden Waste

By far, the biggest use of n-grams is finding wasted spend and potential negative keywords. For instance, the phrases 'and leisure' and 'lawn and leisure' appeared in 265 search terms. With 99 clicks each, the average click per search term is less than one. Finding this type of pattern manually across thousands of search terms is almost impossible. With n-grams, it becomes clear that search terms including 'and leisure' or 'lawn and leisure' have spent over $1,000, with zero conversions.

WordStream's Michelle Morgan, Co-Founder of Paid Media Pros, offers a practical rule of thumb: one and two-word n-grams typically are great resources to find new negative keywords and the three and four-word n-grams tend to help find new keywords to target as either exact or phrase match.

Running an N-Gram Script

The most widely used n-gram script was originally created by Brainlabs and has been updated for the current Google Ads scripting environment. The script adds up the clicks, impressions, cost, converted clicks and conversion value of each query containing the n-grams-and calculates the click-through rate, cost per click, conversion rate, CPA and value/cost-so you can see their impact. If the performance is good, you might want to make new ad groups around the n-gram; if the performance is bad, you might want to exclude the n-gram as a negative phrase-match keyword.

The setup requires creating a blank Google Sheet, pasting the script into your Google Ads scripts editor, configuring the date range and campaign filters, and running a preview before executing. If you find the script keeps timing out, it may be that your account is too big. Try running the script multiple times using campaign name filters to look at different campaigns each time.

For practitioners who want to skip the script overhead, some third-party tools, such as Adalysis, automatically create and evaluate your n-grams. This makes it easier to jump straight into your analysis. You can spend your time assessing and working with the data, instead of compiling your dataset. Optmyzr's Search Term N-Grams tool offers similar functionality with the ability to add negatives directly from its interface.

Google Ads Scripts for Negative Keyword Automation

Scripts go beyond n-gram analysis. They can monitor your search terms daily and flag-or automatically exclude-non-converting queries while you focus on strategy.

The Negative Keyword Suggestions Script

Nils Rooijmans created a script that suggests negative keywords for search terms that had a significant number of clicks, but little to none conversions.

This script suggests negative keywords for search terms that had a significant number of clicks, but little to none conversions. If new negatives are suggested the negatives are reported via email. The email contains a link to a Google Doc spreadsheet documenting all the negative keyword suggestions.

This approach keeps a human in the loop. The script identifies candidates; you review and approve them. That's the right balance because scripts can't replace strategic thinking. They execute the logic you provide but don't independently understand your business context.

Google Sheets Sync Scripts

If you manage multiple campaigns, a shared negative keyword list helps keep everything consistent. Instead of adding negative keywords to each campaign manually, you update one list, and all linked campaigns follow the changes. Several script variants allow you to manage negatives in a Google Sheet and sync them to your account programmatically. A practical implementation: maintain a Google Sheet with columns for keyword, match type, date added, and the reason for exclusion. Run a sync script daily. This creates an auditable record that's invaluable when multiple team members manage the same account.

The Negative Keyword Conflicts Script

This is the script most teams overlook-and it catches expensive mistakes. It sends an email alert if an account has positive keywords which are blocked by negative keywords. The script saves all such conflicts to a spreadsheet and sends out the email alert.

Negative keywords are intended to prevent ads from showing on irrelevant search queries, but they may inadvertently block normal keywords from matching relevant search queries, making your campaigns less effective. This happens more often than you'd think, especially in large accounts where shared lists interact with campaign-level negatives in unexpected ways.

Script Limitations to Know

Google Ads Scripts face strict limitations: 250 authorized scripts per account and a 30-minute maximum execution time. For large accounts processing thousands of search terms across dozens of campaigns, scripts may time out before completing. In these cases, you need to segment execution by campaign or consider moving to Google Ads API automation, which runs on your own infrastructure without execution time limits.

Scripts only work for Search campaigns directly. If you need to automate negative keywords for Shopping or PMax campaigns, you must use a shared negative keyword list approach or a no-code alternative.

Avoiding the Over-Negation Trap

The most underappreciated risk in negative keyword management isn't doing too little-it's doing too much. Aggressive negation can silently strangle your campaigns.

Andrew Lolk described taking over an account where the previous agents had overly focused on negative keywords and tried to enforce strict control. The result of removing these over-aggressive negatives? "We saw an increase in CPC. That's fine. But we also saw a 6x or 5.5x increase in revenue simply by doing that."

That case study carries an important lesson: a slightly higher CPC on relevant traffic is infinitely better than a low CPC on traffic that never converts.

Common Over-Negation Mistakes

Adding root words without checking context. If you realize that "green running shoes" doesn't garner great results, you might think of adding "green" as a negative keyword. However, on further analyzing you realize that though "green running shoes" doesn't convert, "green trekking shoes" gets great results-so you end up blocking that search term too. It's better to add "green running shoes" as a phrase match negative keyword instead of the word "green."

Applying campaign-level negatives when ad group-level would suffice. You see a search query not converting from an ad group and add the negative at the campaign level. The issue is that the keyword might not have been in the ad group-it could have been a different match type causing the ad to show. If that keyword is in another ad group, then you might have just blocked it from showing ads you intended to show.

Failing to audit existing negatives periodically. Your negative keyword lists need regular updates because search behavior changes and new junk traffic appears over time. Old lists miss new irrelevant searches and might still block terms that are now relevant to your business.

Before adding any term as a broad match negative, search your own search terms report for variations of that word to see what you'd be blocking. For example, if you want to block "cheap," first search your report for all terms containing "cheap." You might find "cheap" paired with premium product names that actually convert well. Force yourself to justify why each negative needs a broader match type.

A Maintenance Cadence That Actually Works

The right cadence depends on spend. Higher spend means more data faster and more urgency. Here's a realistic schedule:

• Weekly: Review search terms report for high-impression, high-cost, zero-conversion queries. Add negatives with appropriate match types. Takes 30-60 minutes with scripts flagging candidates.
• Monthly: Run n-gram analysis. Look for single-word and two-word patterns driving spend without conversions. Cross-reference with existing negative lists to avoid conflicts.
• Quarterly: Audit existing negative keyword lists. Remove terms that may now be relevant. Check for conflicts between negatives and active bidded keywords. Review seasonal lists for upcoming calendar events.
• Annually: Reassess your universal negative list against current business offerings. Products and services change-your negatives should keep pace.

Prioritize by impact. As PPC expert Adam Gorecki advises: if you don't have time to review everything, start with the search terms getting the most impressions-then move on to the ones costing you the most. Ignore the one-off impressions and go after what's driving cost and volume.

--- Negative keyword strategy isn't a set-it-and-forget-it task. It's a living system that requires the same ongoing attention you give to bids, budgets, and creative. The advertisers who treat it as maintenance-tedious but essential-consistently outperform those who only think about negatives when waste becomes obvious. The tools have never been better. PMax finally has real negative keyword controls. Scripts can monitor your search terms around the clock. N-gram analysis compresses weeks of manual review into a single afternoon. But none of these tools replace judgment. Every negative keyword is a decision to cut off potential traffic, and every good practitioner knows the difference between pruning and hacking. Start with structure. Build your lists by category. Automate the detection. Keep a human on the approval step. And audit ruthlessly, in both directions-for what you're missing and for what you're accidentally blocking. That's the strategy that protects budgets without strangling growth.