Average Google Ads Wasted Spend per Month, Reconsidered

There is no honest single average for wasted spend

If you've searched "google ads wasted spend per month average", you've seen numbers like "a quarter of your budget". None of them come with a method you can repeat on your own account. Most come from companies selling a fix, and almost none say what they counted as waste or what they divided it by. Those two choices can move the result more than anything happening in your account.

The pages that rank for this query mostly talk about budgets: how much to spend per month, daily vs monthly caps, what a $250 account can expect. That's useful, but it answers a different question. Your budget tells you how much you spend. It says nothing about how much of that spend went to searches that were never going to buy.

So we won't give you a magic percentage. You'll get a way to work out your own number, an idea of what pushes it up or down, and a test for whether it's improving. That's less satisfying than "the average is X%". But you can act on it.

Your waste figure depends on how you define waste

Change the definition and the denominator, and the same account can look like it wastes 9% or nearly 29%. The 25% figure usually comes from the broadest definition. Here's the same account measured three ways.

Say an account spends $10,000 a month. That breaks down like this:

• $2,000 goes to placements and searches that show no query: Display inventory, Performance Max placements outside search, and search terms Google hides for privacy.
• $8,000 goes to search terms you can actually see in the report.
• Of that $8,000, $900 went to terms like "plumber salary", "how to unclog a drain yourself" and "plumbing apprenticeship near me". For a company selling emergency plumbing, those were never going to convert.
• Another $1,400 went to relevant terms like "emergency plumber" and "burst pipe repair" that simply didn't convert this month.
• The other $5,700 went to terms that converted.

Now the three ways to measure it:

The third line is where "a quarter of your budget" comes from. It treats every click that didn't convert as wasted. But "burst pipe repair" is exactly the search you want. If it didn't convert this month, that's the normal cost of buying traffic, or a sign of a landing page or offer problem. If you block it, next month's conversions go down. That's not cleaning.

The first line is the one we suggest. Wrong intent is the part negative keywords can actually fix. Dividing by visible spend keeps the number honest, because you can't classify searches you can't see.

Three kinds of non-converting spend

Before you measure anything, split non-converting spend into three groups. Each one gets a different fix:

1. Wrong intent. The searcher wanted a job, a free tool, a tutorial, a competitor or a different product. A negative keyword fixes this.
2. Right intent, no conversion. The searcher wanted what you sell and didn't buy. Bids, ads, landing pages, prices and conversion tracking fix this. Negatives don't. If you're not sure which group a term belongs in, Google Ads Low Quality Traffic: Bad Clicks or Bad Pages? walks through the difference.
3. Not visible. Spend with no search term attached. You can only reduce this through campaign structure, placement controls and exclusions, not through query-level judgment.

Invalid clicks are a fourth thing. Google filters and credits some of them, but not in a way that maps cleanly onto your monthly waste. Google Ads Invalid Clicks Refund: What You Actually Get covers what comes back.

What pushes your waste rate up or down

The biggest drivers are match types, campaign types, how ambiguous your keywords are, and how long since someone last cleaned the account. Industry matters less than people think. Two plumbers can have very different waste rates. A plumber and a software company with the same setup can look alike.

Match types and automation

An account running only exact and phrase match on well-chosen keywords leaves Google less room to match odd queries. Even then, exact isn't really exact. Close variants still bring in searches you never chose. Close Variants in Google Ads and Why Exact Isn't Exact shows how far that goes.

Broad match, Dynamic Search Ads, AI Max and Performance Max all give Google more freedom to decide which searches match. That's often why advertisers use them, and it can work. But more freedom means more searches nobody chose, so a higher wrong-intent rate is expected. A broad-heavy account shouldn't be judged against an exact-match account's numbers. Compare it with itself, or with accounts set up the same way. If you run DSA, Dynamic Search Ads Negative Keywords That Actually Hold covers which controls keep working.

Campaign type

Search campaigns show you most of their terms and accept negatives at every level. Standard Shopping does too, including shared lists. Performance Max reports search terms in the same campaign_search_term_view as Search and Shopping. It accepts up to 10,000 campaign-level negative keywords, but it doesn't accept shared negative lists. So in practice, PMax waste is often less closely managed and builds up. Performance Max Negative Keywords Not Working? Here's Why covers the usual problems.

Display, Video and App campaigns report no search terms at all. They have their own kinds of waste, but those can't be measured with the method in this article. Keep them out of your waste rate rather than guessing.

Ambiguous keywords

Some products share words with things nobody buys. "Plumber" also matches careers. "Accounting software" also matches free spreadsheet templates. "Running shoes" also matches size charts and reviews. "Lawyer" also matches salary and law school searches. The more of these meanings your core terms carry, the more wrong-intent traffic you pull in, even with tight match types. Negative Keyword Lists by Industry: Where to Start lists the usual problem words by sector.

Words like "free" and "cheap" are the hard case. They're waste for some advertisers and buyers for others. Blocking "Free" and "Cheap" Searches Without Losing Buyers explains how to decide.

Time since the last clean

This one gets the least attention. Waste isn't fixed. New search terms show up every week, and on broad-match and PMax-heavy accounts the long tail never stops growing. An account cleaned thoroughly in January and left alone until June will look worse in June. Not because anything broke, but because five months of new queries went unreviewed. In the accounts we audit, the gap between "cleaned last week" and "last cleaned when the account launched" is usually bigger than the gap between two industries.

Spend level changes what normal looks like

Small accounts have noisy waste rates. Large accounts have stable but stubborn ones. The same percentage means different things at different budgets, so set your benchmark with your spend level in mind.

Small accounts (a few hundred to a couple of thousand dollars a month)

At $1,500 a month, a single $40 click on "plumber salary" is about 2.7% of spend on its own. A few unlucky clicks and the waste rate jumps. A quiet month and it drops close to zero. Neither month tells you much.

For small accounts, don't judge the month-to-month percentage. Look at a 90-day window, and focus on whether the same wrong-intent themes keep showing up. If "salary", "jobs" and "DIY" queries come back every month, that's a real pattern even if the dollar figure is small. At this budget, small leaks also cost more in a less obvious way. With little conversion data, Smart Bidding learns from a small sample, and junk clicks weigh more in it. Smart Bidding Bad Data: How Junk Queries Skew Your Bids explains how.

Mid-size accounts (several thousand to tens of thousands a month)

This is where the percentage starts to mean something. There's enough volume for a monthly rate to be fairly stable, and few enough campaigns that a person can still review the search terms. Most of the waste usually sits in a manageable number of themes, plus a growing tail of one-off queries. A review routine like the one in How to Analyze a Search Terms Report in 20 Minutes can keep up here, as long as someone actually does it every week.

Large accounts (tens of thousands a month and up)

At high spend, the obvious waste is usually gone. Someone added "jobs" and "free" as negatives years ago. What's left is the long tail: thousands of terms with one or two clicks each. None of them look worth a look on their own, but together they're real money. Low Volume Terms in the Search Terms Report Add Up shows how that tail builds up.

The percentage at this level can look modest and still mean large dollar amounts. One point of waste at $100,000 a month is $1,000, every month, usually spread over hundreds of terms nobody will review by hand. For large accounts, the useful question isn't "is our rate normal?" It's "how many dollars a month are we leaving in terms we've never reviewed?"

How to set your own waste benchmark

Your benchmark is your wrong-intent rate, measured the same way every time, split by campaign type. You can do the first pass in an afternoon. Here's the method.

Step 1: Pull 90 days of search terms

Use the search terms report, or campaign_search_term_view if you work through the API or a script. It covers Search, Shopping and Performance Max. Ninety days smooths out weekly noise and matches the window PPCleaner uses to protect terms that converted. Write down total visible search-term spend and total account spend separately.

Step 2: Classify by intent, not by results

Go through terms in order of cost and put each one in a group: wrong intent, right intent, or unsure. Ask "could this person plausibly buy what this ad sells?", not "did it convert?". "Emergency plumber open now" with no conversion is right intent. "Plumber salary" with no conversion is wrong intent. A term that converted in the last 90 days goes in right intent, whatever it looks like.

Don't stop at terms with spend. Terms with impressions and no clicks tell you what Google thinks you match, even before they cost anything. Google Ads Search Terms With No Clicks, and When to Block covers when they matter.

Step 3: Calculate the rate per campaign type

Divide wrong-intent spend by visible search-term spend, separately for Search, Shopping and Performance Max. An account-wide average hides the fact that one campaign type is usually doing most of the damage. A clean Search campaign can make a leaky PMax campaign look fine in a combined number.

Step 4: Record what you couldn't see

Write down the share of spend with no search term attached. That's hidden terms, plus non-search inventory. That share isn't waste, but it's spend you can't judge. If it's large, your waste rate covers only part of the account, and you should say so whenever you report it. Google Ads Search Terms Hidden by Privacy, and What to Do explains what you can still learn about it.

Step 5: Turn the rate into a monthly dollar figure

Multiply the wrong-intent rate by monthly visible spend. In the earlier example, that's 11.25% of $8,000, or $900 a month. A dollar figure gets action from a client or a finance team in a way that a percentage rarely does. It's also the number you'll track from here on.

What a healthy trend looks like month to month

A good account isn't one with zero waste. It's one where wrong-intent spend shows up, gets caught quickly and doesn't come back. Track three things each month instead of one headline percentage.

New waste. Wrong-intent spend on terms that first appeared this month. Some of this is unavoidable on any account using broad match, PMax or AI Max, because Google keeps testing new queries. What matters is that new waste stays small because it gets caught fast. It shouldn't build up for weeks before anyone looks.

Repeat waste. Wrong-intent spend on terms or themes you've seen before. This should head toward zero. If "salary" queries are still costing you money three months after you first spotted them, the issue isn't the market. Either the negative wasn't added, or it was added at the wrong level, or it was added at the wrong match type. Broad negatives behave unpredictably across match types, so a theme you thought was blocked can still get through.

Over-blocking. Negatives that stopped searches you wanted. When the waste rate falls and conversions fall with it, you may have cut too deep. If you see that, review your recent negatives and roll back the bad ones. How to Undo Negative Keywords in Google Ads covers the cleanest way to do it.

When all three move the right way, your waste rate is "normal" for your account, whatever number it lands on. A broad-match e-commerce account with a steady, quickly caught rate is in better shape than an exact-match account with a lower rate that nobody has reviewed in a year. If you run a store, E-commerce Google Ads Search Terms That Drain Budget lists the themes that usually make up repeat waste in retail.

What no benchmark can tell you, and where PPCleaner fits

Any waste rate built from search terms has blind spots. The honest version of the number states them.

First, it covers only spend that has a visible query. Display, Video and App campaigns report no search terms. Part of Search, Shopping and PMax spend runs on terms Google hides. Neither shows up in your rate, and no tool can read queries that the API doesn't return. That includes PPCleaner.

Second, intent judgment isn't perfect. "Plumber cost" might be a buyer comparing quotes or someone budgeting a DIY job. Reasonable people will disagree on some terms, so your rate always has a margin of error. Be consistent: classify the same kinds of terms the same way each month, so the trend means something even if the absolute number is a bit off.

Third, blocking has a cost. Every negative removes some future traffic. Get it wrong and you lose buyers, which won't show up in any waste report because those searches stop appearing.

PPCleaner handles the part of this that has to happen every week and that people stop doing after a while. Every night it reads the search terms your Search, Shopping and Performance Max campaigns paid for. It judges which ones had no plausible path to conversion, and adds them as negatives. It never blocks a term that converted in the last 90 days. It never touches budgets, bids, ads or keywords. Every block can be undone in one click for 90 days. That keeps new waste small and repeat waste close to zero, which is what a healthy trend looks like.

It won't fix right-intent traffic that doesn't convert, it can't see hidden terms, and it doesn't touch Display, Video or App spend. Those parts of your number are still yours to work on. But you'll be working on a real figure, measured your own way, rather than someone else's 25%.