How to Refine Your Keyword List with Filters: A Step-by-Step Guide

TL;DR: Refining your keyword list with filters means systematically removing irrelevant terms, grouping high-intent keywords, and applying match types so your Google Ads campaigns only spend money on searches that actually convert. This guide walks through the exact six-step process to turn a bloated keyword dump into a lean, profitable list.

Most advertisers start with a mess. Whether you pulled your list from the Search Terms Report, ran it through a keyword research tool, or brainstormed in a spreadsheet, the raw output is almost always bloated. You've got junk terms mixed in with gold, informational queries sitting next to buying-intent searches, and no clear structure to any of it.

Without filtering, you end up bidding on searches that will never convert. The budget bleeds slowly, the reports look confusing, and you're left wondering why a campaign with hundreds of keywords is barely breaking even.

The fix is a repeatable filtering process. Performance-based filters cut the obvious waste. Intent-based filters keep only the terms that buyers actually use. Structural filters organize what's left into groups you can actually work with. Together, they transform a raw keyword dump into something you can confidently bid on.

Whether you're working inside Google Ads natively, using spreadsheets, or using a tool like Keywordme directly in the Search Terms Report, these steps apply. The workflow is the same. The only difference is how fast you can move through it.

Let's get into it.

Step 1: Export or Access Your Raw Keyword and Search Term Data

Before you can filter anything, you need the right data in front of you. And there's an important distinction here that a lot of advertisers miss: the keywords you're bidding on are not the same as the search terms triggering your ads.

The Search Terms Report inside Google Ads shows you what people actually typed into Google before clicking your ad. That's the data you want. It's the most honest view of where your budget is going, and it's where the real filtering work happens. Learning how to connect search terms to negative keyword lists is a critical part of this process.

Keyword Planner and third-party tools like Semrush or Ahrefs are useful for building new lists, but if you're trying to clean up an existing campaign, start with the Search Terms Report. Every time.

To access it: go to your campaign, click on "Search terms" in the left-hand navigation, and set your date range. For most accounts, 30 days gives you enough data to make meaningful decisions. If you're running a seasonal account or a campaign with lower traffic volume, stretch that to 90 days so you're not filtering based on noise.

Make sure your view includes these columns at minimum: impressions, clicks, cost, conversions, and CPA. Without conversion data attached, performance filtering becomes guesswork.

From here, you can export to a spreadsheet or, if you're using a tool like Keywordme, work directly inside the Search Terms Report without ever leaving Google Ads. The spreadsheet route works fine, but it adds steps. More on that later.

Success check: You have a raw list of search terms with impressions, clicks, cost, and conversion data attached. You're looking at real user queries, not just your bid keywords.

Step 2: Apply Performance Filters to Eliminate Wasteful Terms

This is where you cut the obvious dead weight. Performance filtering is straightforward in theory but surprisingly powerful in practice. In most accounts I audit, there's a cluster of search terms that have spent real money and produced nothing. Filtering for those first gives you an immediate win.

Start with the highest-impact filter: cost with zero conversions. Sort your data by cost, then look at every term that has spent above your threshold (a reasonable starting point is anything above your target CPA, or a flat dollar amount like $30-$50) with zero conversions attached. These are your budget drains. They're not borderline cases. They're confirmed waste.

Add every one of those terms to your negative keyword list before you do anything else. If you need a structured approach, our guide on how to build a master negative keyword list walks through the full setup.

Next, filter for high impressions with low CTR. This signals a relevance problem. If a search term is triggering your ad thousands of times but almost nobody is clicking, your ad isn't resonating with that query. Sometimes this is a match type issue. Often it's a sign the term is too broad or too irrelevant to your offer. Either way, flag it for removal or further review.

Then look at CPA outliers. Filter for terms where the CPA is significantly above your target. These terms are converting, but at a cost that doesn't make sense for your account. They might be worth keeping at a lower bid, or they might need to come out entirely depending on your margin.

A quick example of what this looks like in practice: filter your search terms for anything that spent over $50 with zero conversions in the last 30 days. In most active campaigns, that list surfaces immediately. You'll often find terms like brand names you're not targeting intentionally, generic informational queries, or completely unrelated searches that slipped through on broad match.

What usually happens here is that advertisers are surprised by how much spend is tied up in a handful of junk terms. A few negatives added at this stage can noticeably tighten up your cost efficiency without touching a single bid.

Success check: You've identified search terms that are actively wasting money and added them as negative keywords. Your remaining list is smaller and made up of terms that have at least some signal of relevance or performance.

Step 3: Filter by Search Intent to Keep Only High-Value Keywords

Performance data tells you what has happened. Intent filtering tells you what's likely to happen with new terms you're evaluating or terms that don't yet have enough data to filter on performance alone.

The framework here is simple. Search queries fall into three buckets:

Informational intent: The user wants to learn something. Queries like "what is project management," "how does CRM software work," or "difference between SaaS and on-premise." These people are not ready to buy.

Navigational intent: The user is looking for a specific brand or website. "Salesforce login," "HubSpot pricing page," "Asana app." Unless you're bidding on competitor terms intentionally, these rarely belong in your campaigns.

Transactional and commercial intent: The user is actively evaluating or ready to purchase. "Best project management software pricing," "buy CRM for small business," "project management tool free trial," "Asana alternative for agencies." These are the terms that convert. Knowing how to find the best keywords for PPC starts with understanding this intent distinction.

For most PPC campaigns, you want to prioritize transactional and commercial intent terms and filter out the informational ones. The exception is if you're running top-of-funnel awareness campaigns specifically designed to capture early-stage interest. But even then, those should be separate campaigns with separate budgets, not mixed in with your conversion-focused efforts.

Use text-based filters to find intent signals quickly. Words like "buy," "price," "pricing," "cost," "near me," "hire," "free trial," "demo," and "quote" are strong transactional signals. Words like "how to," "what is," "definition," "tutorial," "free," and "DIY" often signal informational intent that won't convert in a direct-response campaign.

The contrast is worth spelling out clearly. "Best project management software pricing" is someone actively comparing options and ready to make a decision. "What is project management" is someone who might not even know they need software yet. Both might show up in your Search Terms Report if you're running broad match. Only one belongs in your campaign.

The mistake most agencies make is leaving informational terms in the account because they have decent click volume. Volume without intent is just wasted impressions. A deeper dive into prioritizing keywords by ROI potential can help you quantify which terms actually deserve your budget.

Success check: Your remaining keyword list is dominated by terms that a buyer, not just a browser, would search. Informational queries have been filtered out or moved to a separate top-of-funnel bucket.

Step 4: Use Keyword Clustering to Group and Organize Filtered Terms

At this point you've cut the waste and kept the high-intent terms. Now you need to organize what's left. This is where keyword clustering comes in.

Keyword clustering means grouping semantically related keywords together based on shared meaning, intent, or topic. Instead of one flat list of 200 keywords, you end up with 10-15 tightly themed groups that each represent a specific angle of your offer. We have a dedicated guide on how to cluster keywords into themes if you want a deeper walkthrough of this step.

Why does this matter for Google Ads specifically? Because tighter ad groups lead to more relevant ads, and more relevant ads lead to better Quality Scores. Google rewards you with lower CPCs when your keywords, ads, and landing pages align closely. Loose, unfocused ad groups work against that.

The manual approach: sort your filtered keyword list alphabetically or by root term. Keywords that share a core word or phrase usually belong together. "CRM for small business," "small business CRM software," and "best CRM small business" are all variations of the same theme. Group them.

As you cluster, you'll also start to see natural negative keyword opportunities. If you have a cluster around "free CRM tools" and you don't offer a free tier, that entire cluster becomes a negative keyword list rather than an ad group.

Tools like Keywordme offer clustering features built directly into the interface, which speeds this up considerably. Instead of copying terms into a spreadsheet and sorting manually, you can group and organize right inside Google Ads.

Each cluster you build becomes either a candidate for a new ad group or a structured negative keyword list. Both outcomes are useful.

Success check: Your filtered keywords are organized into logical, themed groups. You're no longer looking at a flat, undifferentiated list. Each group has a clear focus that could support a specific ad and landing page.

Step 5: Apply the Right Match Types to Each Filtered Keyword Group

Once your keywords are grouped, you need to assign match types intentionally. This step is where a lot of the work from the previous steps either gets protected or gets undone.

Quick refresher on the three match types:

Exact match triggers your ad only when someone searches your keyword or a very close variant. Highest control, lowest reach. If you rely heavily on exact match, understanding how to avoid traffic loss with exact match keywords is essential.

Phrase match triggers your ad when your keyword appears as part of a longer query, in the same order. Moderate control and reach.

Broad match gives Google the most latitude to match your keyword to related searches. Highest reach, lowest control. Google has significantly expanded broad match behavior in recent years, which makes filtering and negative keywords even more critical when you use it.

After filtering, the logic for match type assignment becomes clearer. Your high-confidence converters, the terms that have already proven they convert at a good CPA, get exact match. You've earned the right to be precise with them. Your exploratory terms, the ones that look promising based on intent but don't have enough conversion data yet, get phrase or broad match so you can gather more signal. For a more thorough breakdown, see our guide on how to understand keyword match types.

Apply match types in bulk where possible. Going through a list of 150 keywords one by one to assign match types is tedious and error-prone. In-interface tools like Keywordme let you select groups and apply match types in a single action, which is where the time savings become significant.

The common mistake to avoid: leaving everything on broad match after you've done all this filtering work. Broad match without tight negative keyword lists and careful monitoring will re-introduce the same junk terms you just spent time removing. The filtering process and the match type strategy have to work together.

Success check: Every keyword group has an intentional match type assignment. Your proven converters are on exact or phrase. Your exploratory terms are on phrase or broad with negatives in place to contain them.

Step 6: Build Negative Keyword Lists from Your Filtered-Out Terms

Here's a step that gets skipped more often than it should: don't just delete the terms you filtered out. Turn them into negative keyword lists.

When you remove a junk search term from your report without adding it as a negative, Google can and will match your ads to that same query again next month. You'll end up filtering the same terms over and over. Building structured negative lists breaks that cycle.

Google Ads gives you two options for managing negatives: shared negative keyword lists (applied at the account level across multiple campaigns) and campaign-specific negatives. Use shared lists for themes that are universally irrelevant to your business. Use campaign-specific negatives for terms that are only irrelevant to certain campaigns but might be valid elsewhere. Our walkthrough on how to manage negative keyword lists efficiently covers this structure in detail.

Organize your negatives by theme. A few useful buckets to start with:

Informational queries: "how to," "what is," "tutorial," "guide," "definition" — terms that signal research mode, not buying mode.

Irrelevant industries or use cases: If you sell B2B software, terms related to personal or consumer use cases likely don't belong in your campaigns.

Competitor brand names: Unless you're running intentional competitor campaigns, competitor brand searches often produce low-quality clicks. Separate these out and make a deliberate decision about whether to include or exclude them.

Geographic mismatches: If you only serve certain regions, location-specific terms for areas outside your service area should be negated.

Price or quality mismatches: Terms like "free," "cheap," or "discount" can signal a buyer who won't convert at your price point, depending on your offer. Be careful though — you need to balance negative keywords without limiting reach so you don't accidentally block valuable traffic.

This step is what prevents the same junk from coming back. Think of your negative keyword lists as a filter that runs automatically in the background, protecting all the work you've done in the previous steps.

Success check: You have structured negative keyword lists organized by theme and applied to the right campaigns. Your account has a system for keeping junk out, not just a one-time cleanup.

Making Keyword Filtering a Recurring Practice

Here's the thing about keyword filtering: it's not a one-time project. It's an ongoing practice. New search terms enter your account every week. Google's broad match behavior evolves. Your offers change. What was irrelevant six months ago might be worth testing today, and what converted last quarter might be bleeding budget now.

Set a recurring schedule. For most active accounts, a weekly or biweekly review of the Search Terms Report is the right cadence. It doesn't need to take long once you have the process down. You're looking for new junk to add to negatives, new high-intent terms worth promoting, and performance outliers that need attention.

Here's a quick checklist to run through each time:

1. Pull Search Terms Report for the last 7-14 days with cost, clicks, and conversion data.

2. Filter for high-spend terms with zero conversions. Add to negatives immediately.

3. Filter by intent signals. Remove or segment informational queries.

4. Identify new high-intent terms worth adding as keywords. Assign to the right cluster and match type.

5. Update negative keyword lists with any new junk themes that emerged.

6. Check that match type assignments still make sense for your top-performing groups.

As your account matures, this process gets faster. You'll start recognizing patterns. You'll know which query types consistently waste money in your specific account. Your filters get sharper over time, and the list of new junk terms to catch each week gets shorter.

Tools like Keywordme are built specifically for this recurring workflow. Because it lives directly inside Google Ads, you're not exporting data, switching tabs, or maintaining separate spreadsheets. You review, filter, and act on search terms in one place, which makes it realistic to do this weekly rather than putting it off until the budget damage is already done.

A refined keyword list isn't a destination. It's an ongoing practice that compounds over time. The accounts that consistently outperform their competition aren't necessarily the ones with the biggest budgets or the most sophisticated bidding strategies. They're often the ones that simply do this filtering work on a regular basis and never let junk terms accumulate unchecked.

If you're ready to make this process faster and less painful, start your free 7-day trial of Keywordme. It lets you remove junk search terms, build high-intent keyword lists, and apply match types instantly, right inside Google Ads. No spreadsheets, no switching tabs, just quick, seamless optimization for $12/month after your trial.