Marketers lost more than $100 billion to wasted ad spend online last year. Not to fraud, not to bots – to the very platforms they trusted to spend that money wisely.
Here’s how it works, using a simple example: a cookie shop.
The Setup
Imagine you run a local bakery. You tell your ad platform: target “cookies near me.” Spend $5. Get a sale. On paper, that’s a win – a new customer, found through a broad, high-intent search term, for pennies. It feels like growth.
The Catch
What the platform doesn’t advertise is that it rarely sticks to the exact term you gave it. Ad platforms are built to widen the net , matching your keyword to a broader pool of related searches that can look similar on paper but behave very differently in practice.
So “cookies near me” might end up triggering an impression, and a sale, for someone searching your branded term. Say, “Mark’s Cookie Company.” That’s not a stranger discovering your bakery. That’s someone who already knew about a your brand, searching for it by name.
Why This Matters
The platform still credits the sale to your original keyword – “cookies near me”, even though the actual search term that triggered it was a branded query from someone who wasn’t a new prospect at all. Your dashboard shows a cheap, efficient new-customer acquisition. The reality is you likely just paid to intercept traffic that was going to convert anyway.
This is common in accounts left on default settings like “broad match” or automated matching settings, settings most platforms nudge advertisers toward because they’re marketed as easier and more “AI-optimized.” And it’s a meaningful piece of why ad dollars quietly burn without anyone noticing: not one dramatic failure, but thousands of small, mislabelled matches, each one looking like a win.
The Tools Exist. Most Businesses Don’t Know About Them.
Two things can catch this: negative keywords (which exclude irrelevant or unwanted matches) and search term reports (which show what people actually typed before your ad served). Both are available inside most ad platforms today.
The problem isn’t that the tools don’t exist, it’s that most business owners don’t know to look for them. And the platforms serving those ads have little incentive to point them out.
This is a simplified, single example. It’s one issue out of hundreds tied up in modern marketing technology – attribution models, match-type defaults, automated bidding, cross-channel double-counting. The cookie shop example just makes one of them visible.
What’s Next
This month, free ad account audits are being offered to any business spending over $50,000 a month on ads, a chance to see, concretely, where these gaps might be costing you.
Our goal is building a business through value first, and transparency about how these systems actually work, rather than how they’re marketed.
