A Practical Guide to Search Term Optimization in Google Ads (Step-by-Step)

TL;DR: Search term optimization is the process of reviewing what people actually typed before clicking your ad, then using that data to cut wasted spend, add high-intent keywords, and tighten your match types. Done consistently, it's one of the highest-ROI tasks in any Google Ads account. This guide walks you through the exact workflow—from pulling the report to building a smarter keyword structure—without the spreadsheet chaos.

If you've ever looked at your Google Ads spend and thought "where is all this money going?", the search terms report is usually where the answer lives. Google's broad and phrase match settings mean your ads can show up for searches you never intended to target. Some of those are great surprises. Most aren't.

Search term optimization isn't a one-time fix. It's an ongoing habit that separates accounts that slowly bleed budget from accounts that compound performance over time. The accounts I audit most often have the same problem: nobody's looked at the search terms report in weeks, sometimes months. The junk has piled up, the good converting queries are still being captured by loose broad match keywords, and the budget is quietly leaking.

Whether you're a freelancer managing a handful of clients, a marketer running in-house campaigns, or an agency juggling dozens of accounts, this guide gives you a repeatable process you can run in under 30 minutes per account. We'll cover what to look for, how to act on what you find, and how to build a system so nothing slips through the cracks.

Step 1: Pull Your Search Terms Report the Right Way

Before you can optimize anything, you need to be looking at the right data. In Google Ads, navigate to Keywords > Search Terms in the left-hand menu. This is where you'll see the actual queries people typed before clicking your ad—not the keywords you're bidding on, but the real searches that triggered them.

Set your date range to the last 30–90 days. Go shorter and you won't have enough data to make confident decisions. Go longer and you risk acting on historical patterns that no longer reflect current behavior. For most accounts, 30–60 days is the sweet spot.

Next, prioritize by spend. Filter for your highest-spend campaigns first. There's no point spending 20 minutes optimizing a campaign burning $50/month when you have one burning $5,000/month that hasn't been touched. Sort the report by cost descending so the most expensive terms surface immediately.

From there, look at two buckets: high-spend terms with zero conversions, and high-spend terms with strong conversion data. The first bucket is where your wasted spend lives. The second is where your hidden opportunities are. We'll handle both in the steps ahead.

One thing worth knowing: Google withholds some search terms from this report due to privacy thresholds. If a search query didn't meet a minimum volume threshold, it won't appear. This means your report is never 100% complete, and some spend will always be categorized under terms you can't see. That's a real platform limitation, not a bug in your setup.

If you're using a tool like Keywordme, you can work through this entire report directly inside Google Ads without exporting anything. More on that later. But even if you're working natively, the goal at this stage is simple: leave Step 1 with a filtered, prioritized list of search terms sorted by spend or cost-per-conversion before you move on.

Success indicator: You have a filtered list of search terms sorted by cost, with high-spend zero-conversion terms clearly visible and ready to review.

Step 2: Identify and Eliminate Junk Search Terms

Not all search terms are created equal. "Junk" has a specific meaning here: terms that are irrelevant to your offer, attract the wrong audience intent, or have burned through meaningful spend without producing results.

Let's define meaningful spend. A term with one click and no conversion isn't necessarily junk—it hasn't had enough exposure to tell you anything. But a term with 20+ clicks, significant cost, and zero conversions in an account with a functioning conversion setup? That's junk until proven otherwise.

Here are the most common junk patterns I see in accounts:

Job-seeker queries: If you're selling software and your ads are showing for "[your category] jobs" or "[your category] careers", you're paying for clicks from people looking for employment, not your product. These are almost always safe to exclude.

Free-tool seekers: Queries like "free [your product category]" or "free alternative to [competitor]" signal someone who isn't ready to pay. If you don't offer a free tier, these are typically poor fits.

Informational queries: "What is [your category]" or "how does [your category] work" are research queries. If you're running a conversion-focused campaign, these rarely convert and often inflate your cost-per-acquisition.

Off-topic broad match triggers: Broad match has expanded significantly in recent years, and Google will sometimes match your keywords to queries that share a theme but have nothing to do with your offer. These are easy to spot because they look completely unrelated.

When you find junk terms, add them as negative keywords at the right level. Campaign-level negatives block a term across the entire campaign. Ad group-level negatives block it only within a specific ad group. Use campaign-level for terms that are irrelevant to your whole offer, and ad group-level for terms that only misfire in a specific context.

A practical tip: batch your negative keyword additions. Don't add them one at a time as you scroll. Flag everything first, then add them all at once. It's faster and forces you to review your list before committing, which helps you catch overly broad exclusions before they accidentally block legitimate traffic.

That last point matters. Adding "free" as a broad negative match might block someone searching "free trial of [your product]"—which could be a high-intent query if you offer trials. Always think through the downstream impact before adding negatives.

Success indicator: You've identified at least 5–10 irrelevant terms and added them as negatives at the appropriate level, without accidentally blocking relevant traffic.

Step 3: Mine High-Intent Terms Worth Adding as Keywords

Here's where search term reviews stop being just a cleanup task and start becoming a growth lever. The flip side of removing junk is finding gems: search terms that are already converting but aren't explicitly in your keyword list as exact or phrase match.

Why does this matter? If a high-converting query is only being captured by a broad match keyword, you have limited control over how aggressively you bid on it, which ad copy serves it, and which landing page it hits. By pulling it out as its own keyword, you gain precise control over all three.

To find these terms, filter your search terms report for queries with one or more conversions. Then cross-reference against your existing keyword list. If a converting term doesn't already exist as a standalone keyword, it's a candidate for promotion.

Prioritize by conversion volume and cost-per-conversion. Add the strongest performers first as exact match or phrase match keywords with dedicated bids. This gives you the ability to push more budget toward what's already working, rather than letting Google decide how much to spend on it.

Here's a real workflow example. Say you're running a campaign for project management software with a broad match keyword like "task management tool." The search terms report surfaces "team task tracking software for remote teams." That's a specific, high-intent query from a clearly defined audience. If it's converting, it deserves its own keyword, its own bid, and ideally its own ad copy that speaks directly to remote teams.

When you find clusters of related high-intent terms, consider whether they warrant a new ad group. Grouping tightly related terms together improves ad relevance, which is one of the three components of Quality Score alongside expected click-through rate and landing page experience. Tighter relevance generally leads to better ad performance over time.

The mistake most agencies make here is skipping this step entirely. They remove the junk and call it done. But the keyword mining side is often where the real performance gains come from.

Success indicator: You've identified converting search terms not currently in your keyword list and added the top performers as exact or phrase match keywords with dedicated bids.

Step 4: Audit and Adjust Match Types Based on Performance

Match types are one of the most misunderstood levers in Google Ads. Get them wrong and you're either paying for irrelevant traffic or artificially limiting your reach on queries that would convert. Getting them right is a function of looking at actual performance data, not just theory.

A quick recap for context: broad match gives Google the most flexibility to match your keyword to a wide range of queries. Exact match restricts matching to queries that closely match your keyword. Phrase match sits in between. Google has expanded broad match behavior significantly in recent years, which means broad match keywords today can trigger for queries that feel quite distant from your original keyword. That's not necessarily bad—it can surface new converting queries—but it requires active management.

Here's how to approach the audit:

For each high-spend keyword, look at the ratio of relevant to irrelevant search terms it's generating. If a broad match keyword is consistently pulling in junk, that's a signal to consider tightening to phrase match. If a phrase match keyword is generating strong performance and you have a solid negative keyword list in place, you might leave it as-is or test loosening it slightly to capture more volume.

When to tighten: a broad match keyword generating a high proportion of irrelevant terms, burning budget with low conversion rates, is a strong candidate for phrase or exact match.

When to loosen: an exact match keyword with very low impression share, in an account with a well-developed negative keyword list, might benefit from testing phrase match to uncover additional converting queries.

One important caution: don't change match types on keywords with strong performance history without a clear reason. Switching match types can reset the algorithm's learning period, and you may temporarily see performance dip before it recovers. If it's working, be conservative about changing it.

What usually happens in accounts that haven't been audited in a while is that broad match keywords from early campaign setup are still running unchecked, generating a mix of great and terrible traffic, with no systematic review of whether the match type still makes sense given what the data shows.

Success indicator: Your high-spend keywords have match types that align with their performance data, and you've flagged any keywords where a match type change is warranted.

Step 5: Build and Maintain a Negative Keyword List System

Adding negative keywords one at a time, in the moment, is better than nothing. But it's not a system. Without a structured approach, the same junk terms re-enter your account every time Google's matching behavior shifts or a new campaign launches. You end up doing the same cleanup work over and over.

Google Ads has a native feature that solves this: shared negative keyword lists. You create a list once, then apply it to multiple campaigns simultaneously. Any updates to the list automatically apply across every campaign it's attached to. For anyone managing more than one campaign, this is essential.

Think about the categories of exclusions that apply broadly across your account. Job-seeker queries, free-tool seekers, competitor brand names you don't want to target, or industry-adjacent terms that attract the wrong audience. These belong in a shared list that runs across all relevant campaigns, so you never have to add them individually again.

For context-specific exclusions—terms that are irrelevant in one campaign but might be relevant in another—use campaign-level or ad group-level negatives instead of the shared list. The distinction matters: shared lists are for universal exclusions, campaign-specific negatives are for context-dependent ones.

For agencies managing multiple clients, consider building category-level negative keyword lists that can be reused across similar accounts. A list of common B2B SaaS junk terms, for example, can be applied as a starting point to any new B2B software client, then customized from there. This is a genuine time-saver that compounds over time.

Every time you run a search term review, add new irrelevant terms to your running list. Over months, this becomes a compounding asset: your account gets cleaner faster because the obvious junk is already excluded, and your reviews focus on increasingly nuanced decisions.

Set a quarterly reminder to review your negative keyword lists and remove any exclusions that might be blocking legitimate traffic as your campaigns evolve. Offers change, audiences shift, and a negative that made sense six months ago might now be too restrictive.

Success indicator: You have at least one shared negative keyword list applied to your campaigns, and a documented process for updating it after each search term review.

Step 6: Set a Recurring Search Term Optimization Schedule

Everything in this guide is only useful if you actually do it consistently. Search term optimization is not a one-time task. Google's matching behavior changes, your audience evolves, new irrelevant terms emerge, and what worked last quarter may need adjustment today.

Here's a simple cadence recommendation based on account spend level:

High-spend accounts (several thousand dollars per month or more): Weekly reviews. At this spend level, a week of unchecked junk traffic can represent meaningful wasted budget.

Mid-spend accounts: Bi-weekly reviews. Enough frequency to catch issues before they compound, without over-indexing time on lower-volume data.

Low-spend or low-volume accounts: Monthly reviews. Less data means less to act on, and over-optimizing on thin data can introduce more noise than signal.

Each review session should follow the same basic checklist. Filter for new search terms since your last review. Identify terms with new spend but no conversions. Check performance trends on keywords you recently added from previous reviews. Flag any match type issues. Update your negative keyword list.

The whole session should take 20–30 minutes for a single account once your system is set up. The first few reviews take longer because you're building your negative keyword lists from scratch. After that, the process gets faster because most of the obvious junk is already excluded.

For agencies managing multiple accounts, stagger your review schedule across the week rather than doing everything on the same day. Blocking out two accounts per day, for example, is more sustainable than a single marathon session every Monday.

Tools that work directly inside the Google Ads interface make this meaningfully faster. Keywordme, for instance, lets you complete this entire workflow without exporting to spreadsheets or switching between tabs. You can remove junk terms, add negatives, promote converting queries to keywords, and apply match types all from within the Search Terms Report. For anyone managing multiple accounts, that kind of in-interface efficiency adds up quickly.

Success indicator: You have a recurring calendar reminder set and a documented checklist that makes each review session consistent, fast, and repeatable.

Your Search Term Optimization Checklist

Here's the full workflow condensed into a quick-reference checklist you can use every time you sit down for a search term review:

1. Pull the report. Navigate to Keywords > Search Terms, set your date range to 30–90 days, and sort by cost descending.

2. Eliminate junk. Identify high-spend, zero-conversion terms and irrelevant queries. Add them as negatives at the campaign or ad group level. Batch your additions to avoid mistakes.

3. Mine for keywords. Filter for converting terms not already in your keyword list. Add top performers as exact or phrase match keywords with dedicated bids.

4. Audit match types. For high-spend keywords, review the ratio of relevant to irrelevant search terms. Tighten or loosen match types where the data supports it.

5. Update your negative lists. Add new exclusions to your shared negative keyword list so they apply across campaigns automatically.

6. Schedule the next review. Set your next session based on account spend level: weekly, bi-weekly, or monthly.

Consistency beats perfection here. A focused 20-minute weekly review builds more compounding value than an occasional three-hour deep dive. Each session makes the next one faster: your negative lists get smarter, your keyword structure gets tighter, and your budget works harder.

The goal is a keyword structure that gets more intentional over time. Fewer wasted clicks, better ad relevance, stronger Quality Scores, and a clearer picture of what's actually driving results in your account.

If you want to run this entire workflow without ever leaving Google Ads, start your free 7-day trial of Keywordme. It's built specifically for this process: remove junk search terms, build high-intent keyword lists, and apply match types instantly—right inside the Search Terms Report. No spreadsheets, no tab-switching, just faster optimization for $12/month after your trial.