How to Organize Search Terms in Google Ads (and Turn Them Into Action)

This guide walks through a repeatable routine for organizing search terms in Google Ads, so the Search Terms report stops being a pile of rows and becomes a clear action list. You'll learn to sort every term into keywords to add, negatives to block, and terms to keep watching, using a Search campaign with a few weeks of click data.

The Search Terms report is where Google Ads shows you what people actually typed before they clicked your ad. It's also where hundreds of rows pile up and nobody knows what to do with them. This guide gives you a repeatable routine for organizing search terms in Google Ads: a way to sort every row into keywords to add, negatives to block, and terms to watch.

You need access to a Google Ads account with a Search campaign that has at least a few weeks of click data. Without that, there's not enough to sort.

Step 1: Open the Search Terms Report and Set Up Your View

In Google Ads, open Campaigns, then Insights and reports, then Search terms. Google moves menu items around fairly often, so if you don't see that path, check Google Ads Help for the current location as of September 2026.

Before you look at a single row, get the terminology straight, because the report mixes people up. A search term is the exact phrase a person typed into Google. A keyword is what you bid on. The report shows search terms, and one keyword can trigger many different search terms. Adding a search term to your account as a keyword, or blocking it as a negative keyword, is a decision you make row by row.

Next, set your date range. Aim for enough data to judge terms fairly:

  • High-volume accounts: the last 30 days is often plenty.
  • Lower-volume accounts: 60 to 90 days, so terms have a chance to accumulate clicks.
  • Long buying cycles (B2B, big-ticket purchases): stretch the range to cover a typical lead-to-sale window, since conversions may land late.

Then narrow the view to one campaign or ad group at a time. A term like "free trial" might be gold for a software campaign and junk for a premium consulting one. Judging terms against the whole account blurs intent, so pick one campaign, work through it, and move on to the next.

Step 2: Add the Columns and Sort Order That Show Waste and Winners

The default view rarely gives you enough to make a decision. Open the column picker and add these if they aren't already showing:

  • Clicks
  • Cost
  • Conversions
  • Cost per conversion
  • Conversion rate
  • Match type (the type of match that triggered the ad for that search term)

Column names can shift slightly between interface updates, so pick the closest equivalents if a label differs.

Now sort. Start with cost, descending. The top rows are where the most money went, so a bad term here hurts most and a good one deserves attention. Then re-sort by conversions, descending, to surface terms that have already proven themselves.

Use the Added/Excluded status to keep your work clean. Terms you've already added as keywords or excluded as negatives show a status, so filter them out and you won't review the same rows twice. This matters more each time you come back to the report.

One limit to know about: the report doesn't show every query. Google Ads Help explains that some search terms, mostly low-volume ones, are omitted for privacy reasons. So the rows you see are a large, useful sample, but not the full picture. Don't treat a clean report as proof that nothing else is triggering your ads.

Step 3: Sort Terms Into Four Buckets

Every row goes into one of four buckets. Deciding the bucket is the whole job; the actions come later.

  • Add as keyword: the term earns its place as a positive keyword of its own.
  • Add as negative: the term should never trigger your ads again.
  • Watch: there's not enough data to judge yet.
  • Ignore: already covered by an existing keyword, or not worth the effort.

Decision rules

Here's an illustration, with made-up numbers. Suppose your target cost per conversion is $40. A search term like "project management software for agencies" has 6 clicks, 2 conversions, and a $30 cost per conversion. That goes in add. Another term, "project manager jobs," has 14 clicks, $85 in spend, and no conversions. Someone looking for a job isn't your customer, so that goes in negative. A term like "free project management template" with spend and no conversions leans negative too, if you don't offer anything free.

The watch bucket is for terms with too few clicks to judge. Set a rule in advance, such as revisiting a term once it has spent about your target cost per conversion (or a multiple of it, if you want more certainty). The exact threshold is your call, but decide it before you look, not after.

Two common mistakes

First, judging by clicks alone. A term with 40 clicks and no conversions is a worse bet than one with 3 clicks and 2 conversions. Second, blocking a term because it looks strange. Odd phrasing, typos, and long-winded queries sometimes match your offer perfectly. Check the conversions column and the intent before you block anything.

Step 4: Group Terms by Theme and Intent

Scanning row by row is slow. Grouping is faster. Look for shared modifiers or meanings rather than identical wording. Common ones include "pricing," "near me," "free," "jobs," "vs," and "best." Ten different search terms containing "jobs" are one decision, not ten.

As you group, tag each cluster with an intent:

  • Commercial or transactional: ready to buy or compare vendors ("pricing," "quote," "buy").
  • Research: early-stage learning ("what is," "how to," "guide").
  • Brand: searches for your own name.
  • Competitor: searches for another company by name.
  • Irrelevant: unrelated to what you sell.

Clusters pay off in two ways. A single negative can remove a whole family of terms, such as one word that appears across a dozen wasted rows. And a theme with real conversions may deserve its own ad group, with ad copy and a landing page built around it, instead of being lumped in with broader keywords.

If you'd rather not group by hand, Keywordme's keyword clustering can group search terms inside the Search Terms report. Treat it as an optional shortcut, and check Keywordme's current documentation for exactly how it behaves. You still review the clusters yourself before acting on them.

Step 5: Add Winning Terms as Keywords With the Right Match Type

Now act on the "add" bucket. Start with the match type, because it decides how much traffic the new keyword can pull in.

  • Exact match suits proven converters. You're telling Google you want this meaning, and little else.
  • Phrase match suits close variants you want to explore, such as a converting term with room to grow.
  • Broad match reaches the widest set of queries and carries the most risk of irrelevant traffic, especially without strong conversion tracking and smart bidding behind it. Match-type behavior has changed over the years, so check Google Ads Help for how each type works as of September 2026.

Next, choose the ad group carefully. Put each term in the ad group whose ad copy and landing page fit it, not just the one where it happened to appear. A term that converted under a general ad group may do better in a tighter one with a matching headline.

Before adding, check that you're not duplicating a keyword already in the account. Duplicates can make your own keywords compete and muddy your reporting.

Natively, you select the terms in the report and use Add as keyword, then choose the match type and destination in the dialog. Keywordme lets you apply match types from within the report with a click, which saves steps when you're adding many terms. You still choose which terms go in and how.

Step 6: Add Negative Keywords at the Right Level

A negative keyword tells Google not to show your ad for searches containing that term. Where you place it matters as much as what it says.

  • Ad group level: for terms that are wrong for one ad group but fine elsewhere, such as steering a broad query toward the right ad group.
  • Campaign level: for terms that don't fit anything in that campaign.
  • Shared negative keyword list: for junk that applies across campaigns, like "jobs" or "free," but only if it truly applies to all of them. Check Google Ads Help for current list limits.

Match types work differently for negatives. Negative keywords don't match close variants the way positive keywords do, so a negative for "job" won't necessarily block "jobs" or a misspelling. Add singular, plural, and common misspelling variants when they matter, and confirm current behavior in Google Ads Help.

The classic mistake is a broad negative that blocks something valuable. Before you add one, sort by conversions and scan for the word you're about to block. If "free" appears in a converting term like "free demo," that negative would cut off good traffic. Use a more specific phrase or exact-match negative instead.

If you run an agency, keep a starter negative list per vertical (say, one for home services, one for SaaS) and reuse it across client accounts. Then adjust for each client's offer. Keywordme can add negatives directly from the report with a click, which helps when you're working through many rows.

Step 7: Set a Review Cadence and Track What You Changed

Search terms keep arriving, so the routine only works if it repeats. Match the rhythm to spend:

  • High-spend accounts: weekly.
  • Smaller accounts: every two to four weeks.

Keep a simple log with four columns: date, term, action, and reason. A shared doc works. When a client asks why a term was blocked, or you wonder why a keyword was added, the answer is right there. Use Google Ads change history to confirm the changes were actually applied to the account.

After each round, recheck the results a couple of weeks later. Is spend on the themes you blocked lower? Are the new keywords getting impressions? If a new exact-match keyword gets none, it may be too narrow, or a duplicate elsewhere may be absorbing the traffic.

Don't promise yourself or a client a specific saving. Results depend on the account, the query mix, and how much waste was there to begin with. Some accounts see a big difference; others just get cleaner data.

Make the Routine Stick on Your Busiest Campaign First

Run the seven steps on your highest-spend campaign first, since that's where sorting pays back fastest. Then confirm your added keywords and negatives show up in the account, with the right match types and at the right level. Repeat the routine on a schedule so the report never piles up again.

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