The Complete Negative Keyword Playbook for Google & Microsoft Ads

Overview

Negative keywords are terms or phrases that prevent an ad from being eligible for searches containing unwanted intent. They are not simply a list of words that look irrelevant. A useful negative keyword list reflects your offer, landing page, conversion goal, business model, and campaign structure.

For example, a company selling paid accounting software may want to review searches containing “free,” “template,” “course,” or “jobs.” A company offering free educational resources may want to exclude “pricing,” “implementation,” or “enterprise.” The right decision depends on whether the search can lead to the conversion that a particular campaign is designed to generate.

Use negative keywords at the narrowest sensible level:

• Campaign level: apply exclusions to every ad group in a campaign when the rule is universal.
• Ad group level: use exclusions when one theme should not compete with another or when a query belongs in a different group.
• Shared lists: use carefully for recurring exclusions across multiple campaigns, such as employment-related searches for a product campaign.

Before adding any term, ask three questions: Does the search clearly indicate an unsuitable intent? Could the term appear in a valuable query? Will excluding it block a campaign, product, or audience that matters? This simple review prevents an aggressive negative keyword list from removing qualified demand.

For a broader search-term process, pair this guide with the Google Ads Search Terms Report workflow. Search-term data should supply most of your evidence; keyword tools and brainstorming are useful for preparing lists, but they should not replace query review.

Checklist by scenario

1. New campaign or major restructure

• Write down the campaign’s intended conversion and the audiences it serves.
• List clearly unsuitable intents: employment, education, troubleshooting, free alternatives, definitions, downloads, or second-hand products where relevant.
• Review close variants, spelling variations, plural forms, and common modifiers rather than adding one isolated phrase.
• Separate universal exclusions from campaign-specific exclusions.
• Check whether a proposed negative could also occur in a valuable commercial query.
• Apply the list at the correct scope and record the date, owner, rationale, and affected campaigns.
• Confirm that ads and landing pages still match the remaining search intent.

2. After reviewing search terms

• Filter for spend, impressions, clicks, and conversions, but do not ignore low-volume queries that reveal a clear mismatch.
• Group unwanted queries by intent, not only by individual word. Examples include “careers,” “DIY,” “customer support,” and “free trial” when the offer does not support those needs.
• Add a negative when the pattern is confidently irrelevant or repeatedly consumes budget without a plausible path to conversion.
• Move a potentially valuable query to a more suitable campaign when the problem is organization rather than relevance.
• Record rejected suggestions as well as approved exclusions. This prevents the same debate during the next audit.

3. Brand and non-brand campaigns

Brand and non-brand campaigns often need different rules. A brand campaign may exclude unrelated product categories, employment searches, or support requests. A non-brand campaign may need to exclude the brand name if the account has a separate brand campaign and the reporting objective is to measure incremental demand. Do not use this rule automatically: decide based on budget control, attribution, and the role of each campaign.

4. Ecommerce and catalog campaigns

• Exclude product types, sizes, materials, or conditions that the catalog does not carry.
• Review compatibility and model terms before excluding them; a seemingly narrow term may be valuable for another product line.
• Separate research intent such as “reviews” or “comparison” only when the campaign is not designed to capture that stage.
• Recheck exclusions when inventory, product feeds, or seasonal assortments change.

5. SaaS and lead-generation campaigns

• Classify searches by fit: individual versus business, student versus professional, free resource versus paid solution, and small team versus enterprise.
• Do not exclude “pricing,” “demo,” “implementation,” or “integration” without checking whether those are high-intent signals for your sales process.
• Use lead-quality feedback, not only form volume, to decide whether a recurring query theme belongs on the list.
• Coordinate exclusions with the landing page promise so the campaign does not filter out a legitimate use case.

Google Ads and Microsoft Ads comparison

The two platforms support negative keyword workflows, but account interfaces, import options, scope controls, and match-type behavior can change. Treat this table as an operating guide rather than a substitute for checking the current platform interface before a bulk upload.

When moving lists between platforms, do not assume that identical labels produce identical outcomes. Export the list, map fields deliberately, verify match types, and test a sample of expected included and excluded queries.

What to double-check

Match type and wording

Negative match types should be treated as controls with different coverage, not as interchangeable labels. A single-word negative may block more useful searches than intended if it appears in a relevant phrase. Before publishing, write five example searches that should be excluded and five that should remain eligible. If the proposed setting cannot distinguish them, narrow the term or apply it at a more limited scope.

Intent versus vocabulary

Words such as “cheap,” “review,” “alternative,” “comparison,” or “free” can signal different levels of value in different businesses. They are not universal negatives. Review the full query and its relationship to the offer. A comparison search may be valuable for a consideration-stage landing page; “free” may be a strong lead signal for a free product but a poor fit for a paid-only service.

Conversions and reporting

Check whether a query appears wasteful because tracking is broken, not because targeting is wrong. Before making a large exclusion, review conversion definitions, duplicate conversions, offline lead imports, and attribution gaps. The conversion tracking audit checklist and marketing attribution QA checklist can help separate targeting problems from measurement problems.

Message match

When a query is relevant but performance is weak, the answer may be a better ad or landing page rather than a negative keyword. Compare the search intent with the ad headline, offer, form, and call to action. The ad copy testing framework provides a useful next step when the issue is message alignment.

Common mistakes

1. Using a giant prebuilt list without review. Templates are starting points. Importing every suggested term can remove legitimate demand and make diagnosis difficult.
2. Adding negatives from one anomalous query. Look for a meaningful pattern, repeated mismatch, or clear intent signal before applying an account-wide rule.
3. Mixing campaign objectives. A term that is unsuitable for lead generation may be useful for an awareness, remarketing, or content campaign.
4. Ignoring close variants and themes. Excluding “jobs” while leaving “careers” and “employment” may solve only one expression of the same intent.
5. Failing to document changes. Without a change log, teams cannot explain delivery shifts or recover from an overbroad exclusion.
6. Assuming imports are perfect. Always verify list names, campaign scope, encoding, duplicates, and match-type mapping after moving data between Google Ads and Microsoft Ads.
7. Optimizing for clicks alone. A low-cost query can still be commercially irrelevant, while a higher-cost query may produce qualified outcomes. Use conversion quality and business value where available.

When to revisit

Run a light search-term review weekly for active campaigns with meaningful volume, and complete a documented negative-keyword audit monthly. The monthly audit should include these steps:

1. Export the latest search terms from Google Ads and Microsoft Ads for the review period.
2. Sort by spend, clicks, impressions, and conversion or lead-quality signals.
3. Cluster new queries by intent and identify repeated irrelevant themes.
4. Check each proposed negative against current products, landing pages, promotions, and campaign objectives.
5. Choose the narrowest safe scope and record the reason for the change.
6. Apply changes in each platform, verify match types and imports, and save a dated version of the list.
7. Review delivery and query quality during the following period for unintended loss of relevant traffic.

Repeat the full checklist before a major campaign launch, seasonal promotion, product release, inventory change, or landing-page repositioning. Refresh example exclusions monthly to account for new search behavior and seasonal language. Recheck platform match-type and import notes quarterly, or sooner when a platform workflow changes. Review connected negative-keyword tools and integrations annually.

Keep a simple negative keyword list template with these columns: term or phrase, intent category, match type, platform, campaign scope, reason, date added, owner, and review status. Before the next launch, download the latest version, compare it with the account, and run the five included-query and five excluded-query tests for every high-impact list. That recurring habit is more reliable than trying to create a perfect list once.