Google Ads Search Terms Report: How to Filter Queries to Reduce Wasted Costs
In Google Ads, the keywords set up in a campaign are only the starting point the system uses to determine which queries may trigger an ad. What users actually enter in the search box can differ considerably from the original keyword list. A keyword with purchase intent may simultaneously attract queries seeking information, jobs, free materials, or products outside the business’s scope. Without examining this layer of data, businesses can easily misjudge traffic quality and continue spending their budget on clicks that do not create suitable opportunities.
The search terms report is an important tool for seeing the gap between campaign structure and actual search behavior. Rather than only asking which keywords an ad is running with, advertisers need to know which phrases users entered, which ads were shown, whether those queries generated useful interactions, and whether the system should continue expanding its reach. This is not a task performed only once when a new account is set up, but an ongoing control process in Google Ads operations.
Why analyze actual search terms?
Keyword lists are often built from the way a business describes its products or services. However, customers may use local names, abbreviations, misspellings, long questions, or everyday expressions that the business did not anticipate. Some queries may still be relevant even if they do not exactly match the keywords that were set up. Conversely, a keyword that appears relevant on paper may still trigger ads for unsuitable needs.
For example, a website design service provider may want to reach people looking for a company to build a website for their business. However, the ad may also appear for queries seeking free interface templates, design courses, job openings, or instructions for building a website themselves. Such impressions and clicks do not necessarily indicate that the ad is unattractive. The issue is that the intent behind the query does not match the business objective.
Analyzing the search terms report helps separate three groups of data. The first group consists of relevant queries that indicate the potential to generate customers. The second consists of queries related to the topic but not currently aligned with the conversion objective. The third consists of completely unwanted queries. Each group requires a different approach, rather than hastily adding everything to the keyword list or excluding everything.
A systematic process for reading the report
Before reviewing individual rows of data, it is necessary to identify the campaign’s objective. If a campaign is intended to generate consultation calls, a query with many clicks but no calls may need to be evaluated differently from one in an online sales campaign. If the goal is to collect forms, query quality should be compared with the number of valid forms, not just traffic volume. The clearer the objective, the less decisions about keeping, expanding, or removing queries will depend on intuition.
The first step is to sort the data by relevance. Read the exact phrase the user searched for, paying attention to elements that indicate their need, such as the product name, location, situation requiring assistance, or desired action. A query containing the main keyword is not necessarily valuable, while a differently worded query may still be highly relevant. Evaluation should not be based on a single word while ignoring the full context of the search phrase.
The next step is to compare queries with the metrics being tracked in the account. Impressions indicate reach, clicks indicate initial appeal, and conversion data helps determine whether a query contributes to the objective. When a query incurs costs but produces no results, advertisers still need to consider whether enough data has been collected to draw a conclusion. Not every query without a conversion is a bad query, and not every conversion necessarily represents a valuable customer.
Finally, record the decision for each group of queries. Phrases with clear and relevant intent can be used to expand the keyword structure, rewrite ad copy, or create specialized ad groups. Unsuitable phrases should be considered for addition as negative keywords. Cases with insufficient data should be placed on a watchlist rather than handled hastily.
Identifying queries that commonly cause waste
Informational search queries are a group that requires careful consideration. Words such as “guide,” “how to,” “concept,” or “materials” may indicate that users are not ready to buy. However, not every question-based query should automatically be considered valueless. A customer researching a solution may also become a contact later. The decision to exclude a query should be based on the campaign objective, landing page content, and ability to nurture demand, not just on a few opening words.
Queries related to jobs, recruitment, and training often need to be separated if the business does not provide these services. Similarly, terms indicating a need for free offerings, downloads, unsuitable trials, used goods, or do-it-yourself repairs may generate clicks without leading to the commercial opportunities the business wants. Queries containing other brand names should also be evaluated according to the specific strategy. In some industries, they may represent an opportunity to reach customers who are comparing options; in others, they simply increase costs without creating an advantage.
Location and service coverage are also common reasons why queries become unsuitable. Businesses operating only in certain areas may receive clicks from places where they cannot yet provide services. When a recurring pattern is identified, advertisers should check location settings, ad copy, and landing pages as well, rather than adding negative keywords for each individual place name. An issue at the settings level should be resolved at the settings level to avoid prolonged manual handling.
Adding negative keywords without losing good opportunities
Negative keywords help prevent ads from appearing for unwanted queries. However, this tool must be used in a controlled manner. If exclusions are too broad, a business may accidentally eliminate valuable searches simply because they contain a common word. Before adding a negative keyword, review the full phrase, its connection to the product, and the possibility that the query may appear in other contexts.
Negative keywords should be organized into meaningful management groups, such as job-seeking, free offerings, learning, or products that are not provided. This organization makes it easier for the person responsible to review the list and understand why a query was excluded. For multiple campaigns serving the same objective, a shared negative keyword list can reduce repetitive work, but it should only be applied after checking the suitability across campaigns. A word may be unsuitable in one campaign while still being valuable in another.
After negative keywords are added, changes in impressions, costs, new queries, and conversion results should be monitored. Evaluating the impact immediately after too short a period may lead to unstable conclusions. Conversely, leaving a negative keyword list unreviewed for too long may allow unsuitable queries to continue returning. An effective process usually includes a fixed review schedule, an assigned person responsible, and a way to record the reasons for adjustments.
Turning good queries into data for campaign improvement
The search terms report is not only used to cut costs. Relevant queries also show the language customers use to express their needs. This is useful information for adjusting ad headlines, descriptions, landing page content, and questions in forms. If users frequently search for a specific issue that the current content does not address, the business can add the corresponding explanation instead of simply increasing the budget.
Queries with the same intent but different wording can also reveal opportunities for segmentation. A group of people searching for a service because of an urgent need may require ad copy that emphasizes fast response capabilities. Another group interested in the process, scope of work, or cost may need more detailed information before making contact. When the message accurately reflects the concerns expressed in the query, the experience from the ad to the landing page is usually more consistent.
Advertisers can also use high-quality queries to supplement content planning beyond paid advertising. Repeated questions reveal topics that customers care about, while local variations or industry terms help businesses understand how the market refers to a product. This data does not replace customer research, but it provides a practical perspective based on search behavior that has already occurred within the account itself.
Mistakes to avoid when filtering queries
The first mistake is looking only at clicks and costs while ignoring the ultimate objective. A low-cost query is not necessarily valuable if it generates unsuitable contacts. The second mistake is adding negative keywords based on a single case. A query without a conversion may need more time, or it may simply be a rare variation. It is important to distinguish insufficient data from data that has already revealed a clear trend.
Another mistake is equating relevance with the ability to generate revenue. A query closely related to the product may still come from someone who is only looking for information. Therefore, evaluation should combine intent, interaction quality, and post-conversion results. If the business has a process for qualifying leads, data from that qualification stage is even more important to avoid optimizing ads for superficial conversions.
In addition, query analysis should not be separated from the account’s overall structure. When unwanted queries appear repeatedly, the cause may lie in the match type, keyword grouping, ad copy, or targeting settings. Negative keywords are a useful layer of control, but they should not become the sole solution for a campaign structure that is not clearly defined.
Conclusion
The search terms report allows businesses to view Google Ads from the perspective of users’ actual behavior. By categorizing queries, comparing them with objectives, selectively adding negative keywords, and leveraging high-quality phrases, advertisers can reduce unsuitable clicks while improving their messaging to the market. The value of the report does not lie in eliminating as many queries as possible, but in enabling more accurate decisions about where the budget should be spent.
This process should be carried out regularly and connected to business data, not just metrics within the advertising platform. When every adjustment has a reason, is monitored after implementation, and is compared with the quality of actual opportunities, the campaign will have a stronger foundation for sustainable growth.
