Negative Keywords in Google Ads: How to Filter Queries and Keep Your Budget on Target
In Google Ads, an irrelevant click can consume budget without creating a corresponding business opportunity. Users may search for a product using overly broad terms, want to consult free information, be looking for a job, need do-it-yourself instructions, or be interested in a segment completely different from the services a business provides. If a campaign focuses only on adding target keywords while ignoring unwanted queries, the ads may still reach the wrong audience.
Negative keywords are one of the important tools for addressing this issue. Rather than only telling Google Ads when an ad should appear, advertisers also define the contexts in which the ad should not participate. This approach is not intended to narrow reach mechanically, but to direct more of the budget toward searches that are likely to match the product, service, and business objectives.
How do negative keywords work?
Negative keywords are words or phrases added to a campaign or ad group to prevent ads from appearing when a user’s query contains unsuitable signals. For example, a business selling licensed software might consider excluding phrases related to free versions, unofficial downloads, or cracking instructions if those needs fall outside its offering. A company that provides custom website design may need to review queries focused on jobs, courses, or free templates.
An important point to note is that negative keywords are not simply a list of words that sound irrelevant. A word may be appropriate in one context but result in lost opportunities in another. For example, the word “price” often indicates commercial interest and should not be excluded simply because the searcher has not made an immediate purchase. Conversely, a phrase such as “recruitment” may not be suitable for a service sales campaign, but it is an intentional keyword if the business is promoting a hiring page.
Therefore, the decision to add negative keywords should be based on the campaign’s specific objectives, the ad content, the landing page, and the business’s actual ability to serve customers. Query filtering is not about eliminating every user who is not ready to convert, but about limiting visits that clearly deviate from the offer conveyed by the ad.
Start with the search terms report
The most practical source of data for building a negative keyword list is the search terms report. This report shows which queries users entered before the ad received an impression or a click, depending on the campaign type and report configuration. When reviewing the data, do not look at a single high-cost query and immediately exclude it. You should also consider search intent, relevance to the product, and the outcome after the click.
A review process can begin by dividing queries into three groups. The first group consists of relevant queries that accurately reflect the needs the business wants to reach. These should be retained and may be used to develop additional target keywords, ad content, or landing page ideas. The second group consists of related but insufficiently clear queries. These should be monitored further rather than immediately excluded, because they may generate customers at a different stage of the research journey.
The third group consists of queries that are consistently unsuitable. These may involve job searches, free materials, products from a different segment, requests for support with a business service that is not provided, or research purposes that are unlikely to become business opportunities. Queries in this group are good candidates for inclusion in a negative keyword list, especially when they recur or generate unnecessary costs.
Identify types of queries to consider excluding
Job and recruitment queries
If a campaign targets customers who purchase products or use services, phrases related to recruitment, jobs, salaries, job descriptions, and internships generally reflect a different intent. These queries may appear when a brand name or industry name is also used in hiring information. However, check carefully before excluding them at the account level, because a business may also be running a separate recruitment campaign.
Free or do-it-yourself queries
Words such as “free,” “template,” “do it yourself,” “instructions,” or “download” do not always indicate low-quality queries. Some people begin by looking for free information and later use professional services. However, if the business does not provide free resources and the data shows that this group of queries only generates irrelevant visits, excluding them may help the campaign become more focused. The extent of application should be based on the product, sales model, and customer acquisition objective.
Wrong-product or wrong-segment queries
Businesses whose product names closely resemble another type of product need to pay particular attention to this group of queries. Users may be searching for a cheaper version, another brand, a replacement accessory, or a product with only a similar name. If the landing page does not address that need, the click will often provide no value even if the query contains the main keyword.
Post-purchase support queries
People who have already purchased a product may search for a warranty phone number, login instructions, installation guidance, or troubleshooting information. These needs may be important to the business, but they are not necessarily suitable for a campaign aimed at acquiring new customers. If the campaign’s objective is to generate consultation requests or orders, the business can separate support into its own group and consider excluding those query phrases from the sales campaign. This helps make the messaging and budget for each target group clearer.
Choose the application level and match type
Negative keywords can be organized at different levels, such as the campaign or ad group level, depending on the account structure and intended use. A phrase that is never relevant to any campaign can be added to a shared list after careful checking. Meanwhile, a phrase that is unsuitable only for one product group should be limited to the necessary scope. Applying exclusions too broadly may prevent ads from appearing for queries that should still have value.
Match type should also be considered rather than adding negative keywords out of habit. A single word may block many queries containing it, including relevant ones. A specific phrase can control the intent being excluded more precisely. When the need for exclusion appears only in a particular combination, prioritize wording that is specific enough to reduce the risk of blocking the wrong queries.
Before publishing a negative keyword list, test it against queries that have previously produced good results. If a negative word unintentionally appears in relevant and valuable queries, narrow the scope or change the wording. This checking step is especially important for words with multiple meanings and industries with overlapping terminology.
Establish a review process instead of making subjective edits
A negative keyword list should not be created once and then neglected. Search language changes with seasons, promotions, new products, and the ways users express their needs. A campaign that previously received only service-related queries may start receiving recruitment queries after the business posts hiring information across multiple channels. Conversely, a phrase once considered unsuitable may become valuable when the business expands its product range.
Businesses should establish a review schedule appropriate to the account’s data volume. Accounts with many searches should be reviewed more frequently, while smaller accounts can collect data over a longer period to avoid drawing conclusions from an overly small sample. Each time a review is conducted, record the reason for the exclusion, the scope of application, and the update date. These notes help future managers understand why a phrase was removed and also limit the practice of deleting and re-adding the same keyword due to a lack of context.
In addition to cost, monitor signals such as traffic quality, the number of contact requests, revenue, or business results that align with the objectives that have been set. A low-cost phrase is not necessarily valuable, while a higher-cost phrase may bring in high-quality customers if the product has a large contract value. Negative keywords should support an overall effectiveness assessment, not become a tool used only to reduce spending.
Common mistakes when using negative keywords
The first mistake is excluding overly broad keywords simply because they appeared in one ineffective query. This approach can easily eliminate relevant traffic and make it harder for the campaign to reach new ways customers express themselves. The second mistake is excluding a keyword based on a single click without considering sufficient data. A query that has not converted immediately does not necessarily lack potential, especially when the product has a long consideration cycle.
Another mistake is using the same list for every campaign without checking differences in products and audiences. The word “course” may not be suitable for a service sales campaign, but it may be entirely necessary for a campaign promoting a training program. Similarly, queries with an intent to seek information may be a good source of customers for a consulting business, but unsuitable for a store that sells only finished products.
Another risk is adding too many exclusions when the account does not yet have enough data. Before it is clear what language customers use, a dense negative keyword list can eliminate opportunities for discovery. In the early stage, maintain a sufficiently safe structure, monitor actual queries, and add exclusions based on evidence. Good control does not mean controlling everything from the very first day.
Turn query data into an operational advantage
The search terms report is not used only to eliminate irrelevant clicks. Valuable queries also provide the language that customers actually use. Businesses can use them to adjust ad content, reorganize product groups, add frequently asked questions, or identify needs that are not yet addressed on the landing page. In this way, the negative keyword list becomes part of a learning process rather than a keyword table disconnected from marketing operations.
When data is organized, advertisers can more clearly distinguish between targeting problems, messaging problems, and post-click experience problems. If the query is correct but the customer still does not take action, the cause may lie in the offer, pricing information, level of trust, or contact process. Conversely, if most queries are already misaligned with the need from the outset, optimizing the negative keyword list may be the priority before adjusting other elements.
Negative keywords are most effective when used selectively, based on objectives, and reviewed together with business data. Businesses do not need to eliminate every query that has not generated a conversion; they need to identify groups of needs that fall outside their service scope or are not worth continuing to spend budget on. When a negative keyword list is built carefully, ads have a better chance of appearing in the right context, teams can interpret data more easily, and the budget becomes more closely aligned with real-world objectives.
