Google Ads Search Term Mining: A Step-by-Step Guide

Most Google Ads accounts are paying for traffic that will never convert. Not because the campaigns are badly structured, but because no one is regularly checking which actual search queries are triggering the ads.

That's what search term mining fixes. When you bid on a keyword, Google doesn't just show your ad for that exact phrase. Depending on your match type settings, it can match your keyword to a wide range of related (and sometimes completely unrelated) searches. Broad match especially can pull in queries that have nothing to do with what you sell. Without reviewing your Search Terms Report, you won't know this is happening until your budget is gone.

Search term mining is the process of regularly reviewing those actual queries, blocking the irrelevant ones with negative keywords, and promoting the high-performing ones to positive keywords you can bid on directly. It's one of the highest-leverage tasks in Google Ads management, and it's also one of the most skipped.

This guide walks you through a repeatable, practical process: how to access the report, what to prioritize, how to handle negatives correctly, and how to build a mining habit that compounds over time. We'll also cover where tools like Keywordme can speed up the manual parts without pulling you out of Google Ads to do it.

A quick note on terminology before we start. A keyword is what you bid on in Google Ads. A search term is the actual query a user typed that triggered your ad. A positive keyword is a keyword you're actively bidding on. A negative keyword is a term you've excluded from triggering your ads. These distinctions matter throughout this guide, so it's worth keeping them clear from the start.

Step 1: Access the Search Terms Report in Google Ads

To get started, open Google Ads and navigate to Campaigns > Search keywords > Search terms in the left-hand navigation. This is where Google shows you the actual queries that triggered your ads and generated clicks or impressions during your selected date range.

If you've never looked at this report before, the volume of data can feel overwhelming. That's normal. The goal isn't to review every single row—it's to build a systematic process for finding what matters.

Before you start reviewing terms, set a meaningful date range. At least 30 days of data gives you enough volume to spot patterns without drowning in noise. If your campaigns are newer or lower-traffic, you may want to extend to 60 or 90 days to get enough data to act on. Too short a window and you'll be reacting to one-off queries that may never appear again.

Next, consider applying a filter to keep things manageable. If your account has high traffic, filter for terms with at least one click. If traffic is lower, you can include terms with impressions only to catch queries that are appearing but not getting clicks yet.

One important thing to understand: the Search Terms Report does not show every query that triggered your ads. Google excludes low-volume searches and applies privacy thresholds that filter out some queries entirely. This is documented behavior, not a bug. It means the report is useful and actionable, but it's not exhaustive. You're seeing a meaningful sample, not the complete picture.

You can view the report at the account level to see everything at once, or filter it by campaign or ad group if you want to focus on a specific product line or service. For most accounts, starting at the campaign level and working through each campaign separately keeps the review focused and manageable.

Once you have your date range set and your filters applied, you're ready to start identifying which terms deserve your attention.

Step 2: Sort and Prioritize What's Worth Acting On

The most common mistake when reviewing the Search Terms Report is starting at the top and working down alphabetically. That's not how you find what matters. Instead, sort by cost descending. This puts the highest-spend search terms at the top, which means you're immediately looking at your biggest opportunities and your biggest risks.

From there, use the Conversions and Conv. rate columns to separate the terms that are earning their spend from the ones that aren't. You're looking for two categories in particular.

High spend, zero conversions: These are your strongest negative keyword candidates. If a search term has consumed meaningful budget and produced nothing, it's worth questioning whether it belongs in your campaign at all. The longer it runs without converting, the more it costs you.

Conversions present, but not in your keyword list: These are your positive keyword candidates. If a search term is converting and you're not bidding on it directly, you're leaving bid and ad copy control on the table. Adding it as a positive keyword lets you set a specific bid for it and write ad copy that matches the intent exactly.

You don't need to act on every term in the report. Focus on the ones that are meaningfully affecting your budget or performance. A term that spent $0.50 and didn't convert is not worth much of your time. A term that spent $200 and didn't convert absolutely is.

If you manage multiple products or services within one account, segment your review by campaign or ad group before sorting. Mixing terms from a high-ticket service campaign with terms from a low-cost product campaign makes it hard to apply the right threshold for what counts as "meaningful spend." Keep your context consistent as you work through the data.

Once you've sorted and identified your two categories, flag them for action. You can do this with a simple color-coded note, a spreadsheet export, or directly in the interface if your workflow supports it. The next two steps cover what to do with each category.

Step 3: Identify Which Terms to Exclude as Negatives

Negative keyword candidates usually fall into a few recognizable patterns. Once you know what to look for, they're easy to spot.

Wrong-intent queries: These are searches where the user clearly wants something you don't offer. If you sell a professional service, queries with "DIY," "how to do it yourself," or "free template" signal that the user isn't looking to hire anyone. If you sell a product, queries about "how to repair" or "how to fix" may indicate someone trying to solve a problem themselves rather than buy a replacement.

Job seeker queries: Searches like "[your industry] jobs," "careers in X," or "[company type] hiring" are common false matches for service and product businesses. Unless you're a recruiter, these queries will never convert for you. They're worth adding as negatives at the campaign level.

Competitor brand terms: Sometimes Google will match your keywords to searches for specific competitors. Whether you want to bid on those is a strategic decision, but if you're seeing competitor brand queries appearing unintentionally and not converting, they're worth excluding.

Research and student queries: Terms like "what is X," "history of X," or "X essay" often indicate informational intent rather than purchase intent. If you're running a commercial campaign, these are rarely going to convert.

When you spot junk terms, look for shared root words. If you're seeing "free accounting software," "free accounting template," and "free accounting tools," you don't need to add three separate negatives. A phrase match negative for "free accounting" will block all of them at once. Grouping similar terms by their shared root is a more efficient way to build your negative list.

Also decide where the negative should live. Campaign-level negatives apply across all ad groups in that campaign. Ad group-level negatives apply only to that specific ad group. If a term is irrelevant to your entire business, add it at the campaign level or even at the account level. If it's only irrelevant in one specific context, keep it at the ad group level.

If you're seeing a pattern of irrelevant queries and wondering why Google is matching your keywords to them in the first place, it's often related to match type behavior. Broad match in particular can generate unexpected matches. Understanding why broad match brings bad traffic and why your ads show for wrong keywords can help you make better decisions about both your negative keyword strategy and your match type settings.

Step 4: Add Negative Keywords Without Leaving the Report

Once you've identified your negative keyword candidates, adding them is straightforward from within the Search Terms Report. Select the relevant terms using the checkboxes on the left side of the report, then click Add as negative keyword in the toolbar that appears. Google will ask you to choose whether to apply the negative at the campaign level or ad group level, and to select a match type.

The match type decision matters more than most guides acknowledge. Here's how the three options work in practice.

Exact match negative blocks only that specific query. If you add [free accounting software] as an exact match negative, it will only block searches for exactly "free accounting software." Variations like "best free accounting software" will still get through. This is the safest starting point for most junk terms because it avoids accidental over-blocking.

Phrase match negative blocks any query containing that phrase in order. If you add "free accounting" as a phrase match negative, it will block "free accounting software," "free accounting tools," "download free accounting app," and any other query that contains those two words in sequence. This is more efficient when you have a clear root phrase that's always irrelevant.

Broad match negative blocks queries containing those words in any order. This is the most aggressive option and carries the highest risk of accidentally blocking terms you do want. Use it carefully and double-check before applying.

For most situations, start with exact match negatives for specific junk terms and phrase match negatives for root words that are universally irrelevant. Avoid broad match negatives unless you're confident about the scope of what you're blocking.

Before you apply any negative, do a quick sanity check: could this negative accidentally block a term you want to appear for? This is especially important with phrase and broad match negatives. A phrase match negative for "free" might seem like a good idea, but it could block "hands-free," "gluten-free," or other relevant terms depending on your industry.

If the checkbox-and-click workflow feels slow when you're working through a long list of junk terms, Keywordme's Chrome extension lets you flag and remove irrelevant search terms with a single click directly inside the Search Terms Report. No exporting to a spreadsheet, no switching tabs, no copying and pasting. You can read more about the mechanics of negative keyword workflows in this guide on the best way to add negative keywords in Google Ads.

Step 5: Promote High-Intent Terms to Positive Keywords

Blocking junk is only half the job. The other half is finding the search terms that are working and giving them the attention they deserve.

Look through your report for terms that have converted but aren't currently in your keyword list as exact or phrase match keywords. These terms are converting through a broader match keyword, which means Google is managing the bid and match behavior on your behalf. That's fine as a discovery mechanism, but it's not ideal for terms that have proven themselves.

When you add a converting search term as a positive keyword, you gain direct control over its bid, its quality score development, and the ad copy it triggers. You can write ad copy that speaks specifically to that query's intent, which typically improves click-through rate and conversion rate over time. You're also protecting that term from being outcompeted within your own account by a broader keyword that Google might decide to prioritize differently.

Before adding a term as a positive keyword, decide on the right match type. Exact match is the right choice for high-confidence terms where you want precise control. If a term has converted multiple times and you know exactly what the user is looking for, exact match gives you the tightest control over when your ad appears. Phrase match is a good option for terms where you want to capture close variations while still maintaining some intent filtering. For a deeper look at how to make this call, this guide on when to apply match types in Google Ads covers the decision framework in detail. You can also compare the tradeoffs directly in this breakdown of broad match versus exact match.

Once you've chosen the match type, assign the new keyword to the most relevant ad group. If the search term's intent is close to an existing ad group, it belongs there. If the intent is distinct enough that none of your existing ad groups fit well, consider creating a new ad group with its own ad copy tailored to that query.

Terms that have converted multiple times are especially strong candidates for their own dedicated ad group. The more specific your ad group, the more relevant your ads can be, and relevance is what drives quality score and cost efficiency over time.

Step 6: Make Search Term Mining a Scheduled Habit

Everything covered in the previous steps is only useful if you do it regularly. Search term mining is not a one-time setup task. Google's matching behavior shifts as you adjust bids, add keywords, or change match types. New queries appear constantly. An account you reviewed last month will have new junk terms and new opportunities waiting this month.

For active campaigns with meaningful daily spend, review the Search Terms Report weekly. A weekly cadence keeps the data fresh and prevents junk terms from running for too long before you catch them. For lower-spend campaigns, bi-weekly is a reasonable minimum.

A simple checklist makes each session faster and more consistent:

1. Set your date range (at least 30 days, or since your last review).

2. Sort by cost descending.

3. Flag high-spend, zero-conversion terms as negative candidates.

4. Flag converting terms not yet in your keyword list as positive candidates.

5. Add negatives at the right level with the right match type.

6. Add positive keywords to the right ad group with the right match type.

7. Document what you added and why, even briefly.

That last point is easy to skip but worth doing. A simple log of what negatives you've added and the reasoning behind them saves time when you're auditing an account later or handing it off to someone else. It also helps you spot patterns over time.

Keep a running negative keyword list at the account level for terms that are universally irrelevant to your business. These are terms you'll want applied to every new campaign you create, so maintaining them centrally saves you from rediscovering the same junk terms every time you launch something new.

If you're managing multiple client accounts, the process is the same but the volume multiplies quickly. Tools like Keywordme's multi-account support are designed for exactly this situation, letting you run the mining workflow across clients without constantly switching dashboards. For a broader look at when and why automation tools make sense for keyword management, this article on why automate keyword management covers the reasoning in practical terms.

Putting It All Together

Search term mining is the habit that separates well-managed Google Ads accounts from accounts that quietly drain budget on irrelevant traffic. The process itself is straightforward: open the report, sort by what matters, block the junk, promote the winners, and repeat.

What makes it compound over time is consistency. Each session builds on the last. Your negative keyword lists grow, Google's matching gets tighter, and the time you spend per session gets shorter. The accounts that run this process regularly tend to have cleaner keyword lists, lower wasted spend, and better quality scores than accounts where the Search Terms Report is an afterthought.

Here's a quick recap of the full process:

1. Set a 30-day date range and sort by cost descending.

6. Schedule your next review before you close the tab.

If the manual clicking is slowing you down, Keywordme's Chrome extension lets you do all of this directly inside Google Ads. One click to add a negative, one click to promote a term as a keyword, no spreadsheet exports, no tab switching. Start your free 7-day trial and see how much faster your next mining session goes. After the trial, it's $12 per user per month.