Google Ads Search Term Waste: How to Find and Fix It

The average Google Ads account spends between 15-25% of its budget on search terms that will never convert. On a $5,000/month account, that's $750-$1,250 every month going to clicks. With nothing to show for them.

This isn't really a match type problem. It isn't really a bidding problem either. It's a visibility problem. Most practitioners never sit down and look, line by line, at the actual queries they're paying for. The waste is sitting in the Search Terms report, but until somebody pulls it and sorts by spend, it stays invisible.

By the end of this article, you'll know what search term waste actually is, how to find it in your own account, the most common categories it falls into, the negative keyword process that fixes it, and why it tends to get worse over time if you let it.

What Search Term Waste Actually Is

Your keywords are your intent. Your search terms are reality. The gap between them is where money disappears.

When you bid on a keyword, Google decides which actual user queries that keyword is eligible to match. Depending on your match type settings, that can be a tight set of closely related queries (Exact) or a surprisingly wide net (Broad). Broad match has gotten more capable in recent years, but it has also gotten more aggressive about widening the net.

Search term waste is the spend that goes to queries with no realistic chance of converting for your business. Off-topic queries. Informational queries. Competitor brand queries. Queries from the entirely wrong audience. The waste isn't visible at the campaign or keyword level. It only shows up when you pull the Search Terms report and look at what people actually typed.

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The Most Common Categories of Search Term Waste

Once you start looking, the same patterns repeat across almost every account. Here are the categories that catch the most budget, with real-world examples drawn from anonymized accounts.

1. Informational queries (researching, not buying)

These are queries containing "how to," "what is," "what does," "guide," "tutorial," "learn," or "explained." The user is in research mode, not purchase mode. If your campaign is targeting bottom-funnel intent keywords on Broad match, you will catch these.

A B2B software company bidding on "project management software" on Broad match was paying for "how to improve project management skills." 312 clicks. $1,840 spend. 0 conversions.

2. Job seekers

Queries with "jobs," "careers," "salary," "how much does a [role] make," "hiring," "apprentice," or "apply." This is one of the most reliably wasteful categories, and it shows up in almost every account using Broad match.

A home services company bidding on "plumber near me" was serving ads to "plumber jobs near me" and "plumber apprentice salary." Combined spend $340. 0 conversions.

3. Free seekers

Queries with "free," "no cost," "open source," "free trial," "free download," or "free alternative to." If you don't have a free tier, this traffic isn't going to convert. Period.

A SaaS tool bidding on "email marketing platform" was matching "free email marketing software" and "free mailchimp alternative." 89 clicks. $620 spend. 0 conversions.

4. Wrong-audience brand queries

Competitor brand names appearing as search terms. This usually happens when Broad match keywords trigger on competitor-branded queries you never intended to bid on.

An e-commerce retailer bidding on "running shoes" was serving ads to "[Competitor Brand] running shoes review." 44 clicks. $190 spend. 0 conversions.

5. Irrelevant context queries

The triggering keyword is loosely related, but the query is from a completely different use case. These are harder to spot because they don't fit a tidy pattern, and reviewing them takes a little judgment.

A local accounting firm bidding on "tax help" was matching "turbotax help line" and "h&r block appointment." 67 clicks. $280 spend. 0 conversions.

6. Low-intent browse queries

Queries with "reddit," "youtube," "review," "vs," "forum," "complaints," or "problems with." These users are in evaluation or skepticism mode. They are not ready to convert today, and most of them will never come back.

A software company bidding on "CRM tool" was matching "salesforce reddit" and "hubspot problems." 55 clicks. $390 spend. 0 conversions.

How to Find Your Search Term Waste

Time to pull your own data. You can do this entirely in the Google Ads UI.

1. In Google Ads, click Campaigns in the left navigation panel.
2. Under Insights and reports in the sub-menu, click Search terms.
3. Set your date range to at least the last 30 days. 60 to 90 days is better, because waste patterns take time to add up to meaningful dollar amounts.
4. Click the Columns icon above the statistics table and make sure Cost, Clicks, Impressions, CTR, and Conversions are all visible.
5. Click the Cost column header to sort by spend, descending.
6. Scan down the list. For every search term that has spent more than $20 to $50 (set your threshold based on your account's average CPC) and shows 0 conversions, ask: "Is there any reasonable scenario where this query would convert for my business?" If the answer is no, it's waste.
7. Export the report as a CSV by clicking the Download button above the table and selecting **.CSV**.
   

Calculate two numbers from the export. Total spend on zero-conversion search terms, and that number as a percentage of your total search term spend. If it's above 15%, you have a meaningful waste problem. If it's above 25%, it's urgent.

Or skip the manual steps.

Kindling reads your Search Terms CSV and surfaces your top wasters automatically.

[Run a free audit](#).

How to Fix It: The Negative Keyword Process

The immediate fix is to add the worst offenders as negative keywords. Sort your search terms by spend, filter to zero-conversion terms, and work from the top down. Every term that fails the "would this ever convert?" test goes on a negative keyword list.

Where you add negatives matters. Campaign-level negatives block the query across every ad group in that campaign. Account-level negative keyword lists (under Tools) let you apply exclusions across multiple campaigns at once, which is the right move for universal waste categories like "jobs," "free," and "how to." Ad group-level negatives are for narrower exclusions where the term is wasteful in one ad group but valuable in another.

Negative match types matter too. For a query like "plumber jobs near me," adding "jobs" as a Broad match negative at the campaign level will block any query containing the word "jobs." Adding it as an Exact match negative [-jobs] only blocks that exact single-word query. Use Broad match negatives for waste categories. Use Phrase or Exact negatives when you need more precision.

This is not a one-time task. Google continuously evolves, which means your keywords are eligible to match, especially with Broad match and Performance Max. Waste accumulates. A search term that wasn't in your account 60 days ago may be burning budget today. Build a review cadence. At a minimum, check your Search Terms report once a month. Weekly is better for accounts with significant spend.

Quick-reference negative keyword starter list

Add these as Broad match negatives to almost any Search campaign as a starting point.

• Job seekers - jobs, careers, salary, hiring, apprentice, internship, resume
• Free seekers - free, open source, no cost, gratis
• Informational - how to, what is, tutorial, guide, learn, course, certification
• Competitor platforms - (your top 2 to 3 competitor brand names)
• Review and forum - reddit, youtube, forum, review, complaint, problem, alternative

Why Waste Gets Worse Over Time

Waste is not static. As Google expands Broad match aggressiveness over time, and as campaigns pick up more data signaling interest in adjacent topics, the range of queries your keywords match tends to widen. A campaign that was running efficiently three months ago may have a materially different search term mix today, with the same keywords and the same budget.

The worst pattern is the one that starts small and accelerates. A new Broad match keyword added without a negative keyword foundation can generate dozens of irrelevant query variants in the first week alone. By month two, those variants have settled into recurring spend that nobody flagged because nobody pulled the report.

The practical implication: "I already checked my search terms" is not a durable answer. The check needs to be on a schedule, and the negative keyword list needs to be a living document.

Find Your Wasted Spend in 60 Seconds

Everything in this article can be done manually. It takes 30 to 60 minutes for a moderately sized account, and it requires exporting your data, sorting through it, and building negative keyword lists by hand. That's a perfectly reasonable thing to do.

Or, you can upload your Search Terms CSV to Kindling right now. The tool surfaces your top wasters with spend amounts attached, identifies the waste categories, and generates a prioritized negative keyword list. All in under 60 seconds. The results are free.

Find your own wasted spend in 60 seconds.

Upload your Search Terms CSV. No account access, no login required. Your top wasters are free to see.

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