How to Optimize Your Search Terms Report in Google Ads (Step-by-Step)

You set up your Google Ads campaigns, write the ads, set the bids, and hit publish. Then you move on. A week later, you check performance and wonder why costs are climbing while conversions stay flat. The culprit is often hiding in plain sight: the search terms that actually triggered your ads.

Here's the distinction that matters. A keyword is what you bid on in Google Ads. A search term is what a real user typed into Google before clicking your ad. These two things are not the same, and the gap between them is where budget quietly disappears.

The Search Terms Report shows you exactly what users searched before your ad appeared. It's one of the most actionable reports in Google Ads, yet many advertisers either ignore it entirely or open it once, feel overwhelmed by the volume of data, and close it again.

This guide is for marketers, freelancers, and agency owners who want a practical, repeatable workflow for working through that report efficiently. By the end, you'll know how to access and filter the report, cut wasted spend by adding negative keywords, promote high-performing search terms as proper keywords, group related terms to sharpen your campaign structure, and build a review cadence that keeps things clean over time.

No theory. No vague advice. Just a clear process you can run through on any account, starting today.

Step 1: Access the Search Terms Report and Set the Right Date Range

Before you can optimize anything, you need to get to the right place. In Google Ads, navigate to your campaign view, then look for Search terms in the left navigation panel. Depending on which version of the interface you're using, this appears either under the Keywords section or within the Insights and Reports menu. Google has shifted the UI layout a few times, so if you don't see it immediately, check both locations.

Once you're in the report, the first decision is your date range. This matters more than most people realize.

A date range that's too short, say three or four days, won't give you enough data to see meaningful patterns. A single day might look like a disaster or a triumph based on random variation. On the other hand, a range that stretches back six months can bury recent shifts in user behavior under older data that no longer reflects how your campaigns are performing now.

A 30-day window is a practical starting point for most accounts. It's long enough to surface patterns and give statistically useful click and conversion data, but recent enough to be actionable. If you're managing a high-volume account where significant spend accumulates quickly, a 7-day window can work well. For lower-volume accounts, you might extend to 60 or 90 days to get enough data to make confident decisions.

If you're managing multiple campaigns, use the campaign or ad group filter before you start reviewing. Looking at all campaigns at once turns the report into an unmanageable wall of data. Filter to one campaign at a time and work through them systematically.

One important limitation to acknowledge: Google does not show every search term that triggered your ads. Some queries are hidden due to privacy thresholds, as documented in Google's own help resources. This means your view is not complete, but it's still comprehensive enough to find meaningful waste and opportunity. Don't let the hidden data become an excuse to skip the review.

What good looks like here: You can see a populated list of actual user queries alongside impressions, clicks, cost, and conversion data, filtered to a sensible date range and scoped to a specific campaign.

Step 2: Sort and Filter to Surface What Actually Matters

A raw search terms list for an active campaign can easily run into hundreds of rows. Working through all of them without a strategy is how you spend two hours and come away with three negatives. The goal of this step is to get to a short, prioritized list of terms that are worth acting on.

Start by sorting the report by cost, descending. This puts the most expensive search terms at the top. High-spend, zero-conversion terms are your first priority. These are queries that users searched, clicked your ad, and didn't convert. If a term has spent a meaningful portion of your budget and produced nothing, it deserves immediate attention.

After you've scanned the high-cost terms, sort by conversions, descending. This surfaces the search terms that are already driving results. These are candidates for promotion to dedicated keywords, which we'll cover in Step 4.

Next, consider applying a minimum threshold filter. If a search term has appeared once with one impression and no clicks, it's not worth acting on yet. Filter to terms with at least a handful of clicks, or a minimum spend amount, to cut the noise. The specific threshold depends on your account's volume, but the goal is to focus on terms where you have enough signal to make a confident decision.

You can also temporarily filter out branded search terms if you want to focus specifically on non-brand waste. This is useful when your brand name is triggering a lot of traffic and you want to assess the efficiency of your non-brand campaigns without the branded data skewing the picture.

Understanding why irrelevant terms appear in the first place helps here. When you use broad match keywords, Google's matching algorithm looks for queries it considers related to your keyword's meaning, not just the exact words. This gives Google significant latitude, and it doesn't always get it right. Phrase match is more constrained, but it can still pull in unexpected queries. The Search Terms Report is how you see the consequences of those matching decisions.

If broad match is a consistent source of irrelevant traffic in your account, it's worth reading more about how broad match behavior works and when it makes sense to use it.

What good looks like here: You have a short, prioritized list of terms to act on: high-spend non-converters to exclude, and high-converting terms to promote. Not 500 rows, but a focused working list.

Step 3: Identify and Exclude Irrelevant Search Terms as Negative Keywords

This is where you start protecting your budget. When a search term is clearly irrelevant to what you're selling, you add it as a negative keyword, which tells Google not to show your ads when someone searches for that query.

The first decision is where to add the negative: at the campaign level or the ad group level.

A campaign-level negative blocks the term across every ad group within that campaign. This is the right choice when the irrelevant term has nothing to do with your offering at any level. For example, if you're advertising project management software and someone searched "free project management templates for students," that DIY or research intent is probably irrelevant across your entire campaign.

An ad group-level negative is more surgical. Use it when the term might be relevant in one ad group but not another. For instance, a term that's irrelevant in your enterprise-focused ad group might actually be fine in a different ad group targeting small businesses.

Common categories of junk terms to look for include: DIY or "how to" queries when you're selling a service, student or research-intent queries, competitor brand names appearing in your non-brand campaigns (unless you're intentionally running competitor targeting), geographic signals that don't match your service area, and searches from adjacent product categories that Google's algorithm incorrectly associated with your keywords.

If you manage multiple campaigns and see the same irrelevant terms appearing repeatedly, add them to a shared negative keyword list in Google Ads. This lets you apply the same exclusions across campaigns without repeating the work each time. It also makes future maintenance much easier.

One pitfall to watch: don't add negatives too aggressively without checking whether the term you're blocking overlaps with queries you actually want. Negative keywords in broad match form can block more than you intend. If you add "free" as a broad match negative because you saw "free project management software," you might also block "free trial" queries that could be valuable. Be specific with your negative match types when the situation calls for it. For a deeper look at how negative keywords work across match types, Google's own documentation on negative keywords is a reliable reference.

If you're doing this manually in Google Ads, the process involves selecting terms, clicking "Add as negative keyword," choosing the level and match type, and confirming. It works, but it's repetitive. Keywordme streamlines this by letting you select junk terms and add them as negatives with a single click directly inside the Search Terms Report, without exporting anything to a spreadsheet or switching tabs.

What good looks like here: Irrelevant terms are blocked at the appropriate level, and you've used shared lists where the same exclusions apply across multiple campaigns.

Step 4: Promote High-Intent Search Terms to Exact or Phrase Match Keywords

Cutting waste is only half the job. The other half is capturing more of what's already working.

When a search term is converting well and isn't already an explicit keyword in your account, you're leaving control on the table. Google is matching it to one of your existing keywords and showing whatever ad that keyword is associated with. By adding the search term as its own keyword, you gain the ability to set a specific bid for it, write ad copy tailored to that exact intent, and track its performance independently.

The match type you choose matters. Exact match gives you the tightest control: your ad will only show for that specific query or very close variants. This is the right choice for high-converting terms where you want precise control over when your ad appears and how much you pay. Phrase match is more flexible. It captures the search term along with queries that include it as part of a longer search, which can be useful when you want some reach while still maintaining relevance.

Broad match for newly promoted keywords is generally worth avoiding unless you have robust conversion data and a clear intent to expand reach deliberately. The whole point of promoting a term is to gain control, and broad match gives that back to Google's algorithm.

The ad group placement decision is just as important as the match type. Add the new keyword to an ad group where the existing ad copy closely matches the intent of that search term. If a user searched "project management software for remote teams" and converted, adding that keyword to a generic "project management software" ad group with generic ad copy is a missed opportunity. Ideally, it belongs in an ad group with messaging specifically about remote team use cases.

Mismatched ad copy hurts Quality Score, which affects both your ad rank and the cost you pay per click. Getting the ad group assignment right is worth the extra thirty seconds of thought.

Keywordme handles this step with a single click from within the Search Terms Report: select the term, choose your match type, and it's added as a keyword to the appropriate ad group without leaving the interface.

For a more detailed breakdown of when to use exact match versus phrase match versus broad match, it's worth reviewing the trade-offs between match types before making promotion decisions at scale.

What good looks like here: Your best-performing search terms have dedicated keywords with appropriate match types, placed in ad groups with relevant ad copy.

Step 5: Group Thematically Similar Terms to Improve Campaign Structure

Once you've gone through the individual actions of excluding junk and promoting winners, step back and look at the patterns across your search terms.

Clusters of related queries often signal an opportunity to tighten your campaign structure. If multiple converting search terms share a common modifier or intent signal, that cluster might be better served by its own ad group with tailored messaging, rather than being lumped into a broad bucket.

To illustrate with a hypothetical: imagine you're running ads for accounting software and you notice that several converting search terms all include the phrase "for freelancers." These users have a specific context. An ad group with messaging, headlines, and a landing page built around freelancer-specific needs will likely outperform a generic accounting software ad group for those queries. The search intent is more specific, and your ad should reflect that.

This kind of keyword clustering improves ad relevance, which contributes to a higher Quality Score. A higher Quality Score generally means better ad positions at lower costs. Beyond the mechanics, it also just makes your campaigns easier to manage. When ad groups reflect real user intent clusters rather than loose keyword buckets, it's clearer what each group is supposed to do and how to evaluate whether it's working.

For agency owners managing multiple client accounts, this pattern recognition becomes a transferable skill. Intent clusters that appear in one industry often have structural parallels in others. The habit of looking for clusters, not just individual terms, makes you a more efficient account manager over time.

Keywordme's keyword clustering feature helps identify these thematic groups without manually scanning hundreds of rows, which is particularly useful when working through large accounts or reviewing multiple campaigns in a single session.

What good looks like here: Your ad groups reflect distinct user intent clusters, with ad copy and landing pages that match what those users were actually searching for.

Step 6: Build a Repeatable Review Cadence

Everything you've done in the previous five steps will start to erode if you don't come back to it regularly.

Google's broad match and Smart Bidding strategies are designed to continuously explore new search queries as user behavior evolves. That's not inherently bad, but it means new irrelevant terms will appear over time, and new converting terms will surface that deserve promotion. A one-time optimization is not a sustainable strategy.

For active campaigns with meaningful spend, a weekly review is the right cadence. High-spend accounts accumulate waste quickly, and catching it early is much cheaper than letting it compound for a month. For lower-volume accounts or campaigns in a stable phase, a bi-weekly or monthly review is reasonable.

Each review session should cover three things. First, check for new high-cost, zero-conversion terms that appeared since your last review and add them as negatives. Second, look for new converting search terms that are worth promoting as keywords. Third, verify that previously added negatives are holding, meaning the terms you blocked aren't still appearing in the report through a different match pathway.

If you manage multiple client accounts, build this into a documented standard operating procedure. A simple checklist that any team member can follow ensures consistency regardless of who runs the review that week. Consistency matters more than perfection here. A thorough review done every two weeks is better than a perfect review done once a quarter.

Skipping reviews for several weeks means wasted spend compounds quietly. You might not notice it in week two, but by week six, the impact on cost-per-conversion can be significant. Reactive optimization, where you only dig into the report when performance drops noticeably, always costs more than proactive maintenance.

If you want to think more broadly about how search term reviews fit into a complete PPC workflow, it's worth exploring how other optimization tasks can be sequenced and systematized alongside this one.

What good looks like here: Search term review is a scheduled, documented task with a clear checklist, not something that happens reactively when a client asks why costs went up.

Putting It All Together

The Search Terms Report is one of the highest-leverage places you can spend optimization time in Google Ads. It shows you exactly what real users searched before clicking your ad, which means every action you take there is grounded in actual behavior, not assumptions.

Here's the six-step workflow in brief:

1. Access the report and set your date range — 30 days for most accounts, 7 days for high-volume campaigns.

2. Sort and filter to prioritize — start with high-cost, zero-conversion terms, then look for high-converting terms worth promoting.

3. Exclude irrelevant terms as negative keywords — at the campaign or ad group level depending on scope, using shared lists where applicable.

4. Promote high-intent terms as keywords — with the right match type and placed in the right ad group with matching ad copy.

5. Cluster thematically related terms — to tighten ad group structure and improve relevance.

6. Review on a regular cadence — weekly for active campaigns, bi-weekly or monthly for lower-volume accounts.

Run through this process consistently and your campaigns will gradually get cleaner, more efficient, and easier to manage. The first pass takes the longest. After that, each review builds on the last.

If you want to run this workflow faster without leaving Google Ads or touching a spreadsheet, Start your free 7-day trial of Keywordme. It lets you remove junk search terms, promote high-intent keywords with match types applied, and cluster related terms in one click, directly inside the Search Terms Report. After the trial, it's $12 per month per user.