Learn how to conduct Google Ads search query analysis, apply negative keywords effectively, and optimise your marketing budget to reduce wasted spend.
Google Ads search query analysis involves using the Search Terms Report to examine actual user searches that triggered your ads. This process allows small business owners to refine their keywords, add negative search terms, and ensure their marketing budget is delivering a clear return on investment.
In practice, letting advertising platforms run unchecked is a fast track to draining your resources. Small businesses simply cannot afford to pay for irrelevant clicks. Setting up a solid, centralised foundation to monitor exactly what potential customers are typing into search engines makes all the difference. It provides clarity, removes ambiguity, and helps you build a highly targeted campaign that supports sustainable business growth.
Why is the Search Terms Report critical for small budgets?
There is a significant difference between the keywords you bid on and the actual queries users type into a search engine. You might bid on the broad term ‘accountant’, but a user might type ‘free accounting software for students’ and trigger your ad. If you are selling premium accounting services, paying for that click is a complete waste of your budget.
For a small business starting with a monthly budget of £500 to £1,000, every click matters. This budget range is generally enough to generate reliable data over two to four weeks. Anything less often yields insufficient data for meaningful analysis. By reviewing your search terms regularly, you can identify exactly where your budget is going. Building negative keyword lists based on this data can reduce wasted spend by 20 to 30 percent, freeing up capital to invest in the searches that actually convert.
How do you find and filter your search query data?
Accessing this data is a straightforward process. Within your Google Ads account, select a date range (the last 30 days is usually a reliable baseline), navigate to Insights and Reports, and then select Search terms. Here, you will see the exact queries alongside their matched keywords, impressions, clicks, and total spend.
When reviewing this data, your goal is to identify high-performing queries. Look for searches that have high click-through rates or, more importantly, those that result in conversions. Once you find these winners, you can add them to your campaigns as exact match keywords to capture more of that specific traffic. Conversely, you must analyse how different match types perform. Broad match keywords often attract irrelevant clicks, so shifting towards phrase and exact match gives you far more control over who sees your ads.
What rules should you follow when reviewing search queries?
When reviewing your Search Terms Report, you need a systematic plan for identifying wasted spend. We recommend following these core rules:
* **Contextualise the search against your business model:** Always consider what you actually sell before excluding a word. If you operate a free jobs search board, then ‘free’ and ‘jobs’ are highly relevant, valuable keywords. However, if you run a premium accounting software company, those same words will drain your budget rapidly.
* **Isolate the specific problem word:** The goal is not just to exclude an entire irrelevant search string, but to find the root cause. If our premium software provider sees a click for ‘free accounting software’, the entire phrase is not the problem. The core issue is the word ‘free’.
* **Extract and negate to protect your budget:** If you only exclude the full phrase, your ad might still trigger for ‘free accounting app’ or ‘free bookkeeping software’. By extracting the problem word ‘free’ and adding that specific word as a negative keyword, you protect your budget from all similar low-intent searches moving forward.
How do you apply negative match types correctly?
Once you identify a problem word or phrase, you must decide how to exclude it. Negative keywords operate differently from standard keywords, and understanding match types is critical. Follow these guidelines:
* **Use phrase match negatives for specific words:** Formatted with quotation marks, such as “free”. This prevents your ad from showing on any search containing that exact word or phrase in that order.
* **Use exact match negatives for specific queries:** Formatted with square brackets, such as [cheap accountant]. This will only block searches for that exact phrase and nothing else, which is useful for highly specific exclusions.
* **Never use broad match negatives:** We strongly advise against using broad match negatives. The rules around their potential usage are far too ambiguous, and you risk accidentally blocking highly relevant traffic without realising it.
Where should you assign your negative keywords?
Google Ads allows you to apply negative keywords at three different levels. Understanding when to use each prevents conflicting rules and keeps your account organised:
* **Account-level negative keyword exclusion lists:** These are perfect for universal terms you never want associated with your business. Returning to our premium software example, applying a list with terms like “jobs”, “salary”, or “free” at the account level ensures they are blocked across all current and future campaigns.
* **Campaign-level negatives:** These are useful for terms that are irrelevant to a specific service line but might be applicable elsewhere in your business.
* **Ad group-level negatives:** These are highly specific and used primarily to sculpt traffic. They ensure the correct ad group triggers for a particular search, keeping your data clean and your ad copy highly relevant to the user’s intent.
What is the best way to structure your ad groups?
Organising your campaigns logically is essential for keeping your data clean and actionable. A highly effective method is using a search query framework to structure ad groups around seven to eight core themes derived from keyword tools and validated against actual search intent.
By grouping your ads into tight themes, you can write highly specific ad copy that matches the user’s exact problem. This is also where the long-tail keyword advantage becomes apparent. A generic search for ‘plumber’ is highly competitive and expensive. A long-tail search like ’emergency plumber in Leeds’ indicates a specific, immediate need. These longer queries typically have higher conversion rates and lower costs-per-click. Structuring your ad groups to target these specific themes ensures your budget is spent on high-intent traffic.
How often should you review negative keywords?
Search query analysis is not a task you can do once and forget. Search behaviour changes, and Google’s matching algorithms frequently update. Conducting weekly reviews of your Search Terms Report is the most effective way to maintain campaign health.
During these weekly reviews, actively look for irrelevant queries. Competitor brand names require a considered approach. If a competitor is a direct rival offering a similar product or service, their brand name can be a highly effective keyword to bid on, allowing you to capture relevant market share. However, if a competitor operates at the opposite end of the market with no real overlap, paying for their brand traffic is a waste. In those instances, it is best to extract their brand name and add it as a negative keyword. A common pitfall for small businesses is failing to track conversions alongside this process. If you do not know which queries lead to actual sales or enquiries, you cannot accurately measure your return on investment.
How does centralising this data prepare you for AI?
For many small businesses, adopting artificial intelligence feels like a distant goal. However, preparing for AI starts with how you manage your data today. When you maintain clean, well-structured campaigns and track your performance accurately, you are building a cohesive dataset.
Artificial intelligence relies on this kind of structured information to identify trends and correlations at scale. By centralising your organisational data, you provide machine learning algorithms with the context they need to help you make better decisions. AI tools can process vast amounts of search query data to highlight anomalies or suggest new themes, helping human teams do more in less time. It is important to remember that AI does not replace your marketing expertise, it enhances it. The technology handles the heavy lifting of data processing, while your human team establishes the broad ethics, morals, and tone, bringing their own individual personalities to your communications.
Frequently Asked Questions
What is the difference between a keyword and a search query?
A keyword is the specific term you bid on within your Google Ads account to target your audience. A search query is the actual string of words a user types into the Google search bar that triggers your ad to appear.
How do I extract a problem word from a search query?
Review the full search string to identify the single word making it irrelevant. For example, in the query ‘free accounting software’, the word ‘free’ is the problem. Extracting and negating just ‘free’ protects your budget from all similar low-intent searches.
Why should I avoid using broad match negative keywords?
The rules governing broad match negative keywords are highly ambiguous. Using them can cause Google’s algorithm to unpredictably block relevant traffic. It is much safer and more effective to rely strictly on phrase match and exact match negative keywords.
What is a negative keyword exclusion list?
A negative keyword exclusion list is an account-level tool in Google Ads. It allows you to compile a master list of terms you never want associated with your business, applying them universally across all current and future campaigns simultaneously.
Should I bid on my competitors’ brand names in Google Ads?
Bidding on competitor names can be a smart strategy if they offer a very similar product or service to your own. However, if the competitor serves a completely different end of the market and there is no audience overlap, it is better to add their brand name as a negative keyword to avoid wasting your budget.
How often should I check my Search Terms Report?
You should review your Search Terms Report on a weekly basis. Frequent checks allow you to quickly identify and exclude irrelevant searches, add high-performing queries as exact match keywords, and prevent wasted spend before it accumulates.
How much should a small business spend on Google Ads to get started?
A starting monthly budget of £500 to £1,000 is generally recommended. This amount generates enough traffic and data over a two to four-week period to allow for meaningful analysis and optimisation. Budgets below £500 often yield insufficient data to make informed decisions.
Final Thoughts
Analysing your Google Ads search queries is a fundamental practice for any small business looking to maximise its marketing budget. By consistently reviewing your data, extracting problem words, and applying negative keywords at the correct account levels, you can drastically reduce wasted spend and focus on the traffic that drives real business results. More importantly, establishing these disciplined data habits lays the groundwork for future technological adoption, ensuring your business is ready to take advantage of advanced analytical tools.
