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Let Me Show You the Budget Line
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The Surface Problem: Falcon Means Everything and Nothing
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The Deeper Problem: We Bought a Name, Not a Need
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The Cost Nobody Puts on the Dashboard
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The Deepest Cause: We Didn't Have a Prevention System
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What Worked: A Boring Checklist
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One More Thing: Apply the Same Logic to Every Claim
Let Me Show You the Budget Line
In Q3 2024, I audited our paid search spend and found a line item that made me stop. We spent $4,817 on search ads where the only keyword was "falcon." The vendor called it "brand enhancement." I called it a drain.
I'm the procurement manager at a 110-person energy and mining equipment company. I've managed our services budget—about $420,000 a year—for six years, and I've negotiated with more than 20 agencies, tool vendors, and content providers. I don't mention that to sound important. I mention it because this story starts with a dashboard and ends with a spreadsheet. It always does.
The Surface Problem: Falcon Means Everything and Nothing
The obvious problem is that "falcon" is not a keyword. It's a bird, a knife brand, a LEGO set, a building on Black Falcon Avenue in Boston, and a few sports teams. When our search term report came back, it was full of phrases like:
- "flying falcon knife"
- "88 black falcon ave boston"
- "millennium lego"
- "jonah vice"
- "white vs knicks"
Every one of those got at least one click on our ad. None of them mentioned a pump, a valve, a coil, or anything we actually manufacture. A handful of clicks isn't an emergency. But it becomes one when it repeats every day for a year.
At least, that's been my experience with mid-sized B2B manufacturers. If you sell consumer products, a five-cent click from someone looking for a knife may not hurt. In B2B equipment, every click that doesn't become a conversation is money, attention, and sales time gone.
The Deeper Problem: We Bought a Name, Not a Need
It would be easy to blame Google. "The algorithm doesn't understand our brand." That's lazy. We were bidding on "falcon" in broad match, with no product qualifiers and no negative keywords. The algorithm was doing exactly what we told it to do.
The uncomfortable part is the campaign looked healthy. Click-through rate was around 6%. Average cost per click was $1.10. That all seemed fine. But when I pulled the lead routing logs, the conversion rate from those clicks was 0.9%—and most of those "conversions" were people saying, "Do you sell the knife?" or "Is this the address for the Boston office?" Let me rephrase that: our conversions were misdirected questions. We had to apologize, explain the kind of equipment we make, and then point them somewhere else. That's not a sale. That's a chore.
The surprise wasn't the waste. It was how much of it looked like performance. A 6% CTR on irrelevant terms is not a sign of success; it's a sign that our ad was ambiguous enough to attract everyone. The system rewarded us for the wrong behavior.
The Cost Nobody Puts on the Dashboard
Let's do the visible math. Thirty-one clicks from "88 black falcon ave boston" at $1.10 per click: $34.10. Not terrible. But when you add "flying falcon knife," "millennium lego," "jonah vice," "white vs knicks," and about 60 other off-target variations, it came to $1,380 per month. Over a year, that's $16,560. That was roughly 15% of our total paid search budget.
Then there are the hidden costs:
- Sales reps spent about 15 minutes a week redirecting wrong inquiries. That's 13 hours a year of people doing work that wasn't in anyone's job description.
- We mailed sample literature to 14 "leads" in six months that turned out to be hobbyists or window-shoppers. Each mailing cost $1.78 in postage: $1.50 for a one-ounce large envelope plus $0.28 for the extra ounce, according to USPS rates effective January 2025. Add $12 in printing and handling, and we burned $193 on mail that went to the wrong people.
- Our content team wrote a page for "falcon," and the page started ranking for the wrong intent. People came to ask about knives and LEGO, not about our equipment. That creates topical confusion that's hard to undo.
That last one bothers me most. It means we were accidentally becoming a reference site for unrelated searches. Every wrong ranking reinforces the wrong association.
The Deepest Cause: We Didn't Have a Prevention System
I don't have hard data on how many good buyers didn't find us because our budget was getting eaten by bad clicks. But based on six years of watching deal flow, my sense is it cost us at least two qualified opportunities per quarter. Two mid-sized orders in our industry is not a rounding error.
In my opinion, the root cause was simple: we had no checklist. The keyword list came from an agency that was evaluated on clicks, not on qualified meetings. We didn't have a process for asking, "If someone types this, what are they actually looking for?" That question now sounds obvious. It wasn't, because the vendor report didn't include it.
After tracking 47 orders and three full campaign reviews in our procurement system, we found something similar to what I'd expect in any cost review: 62% of our paid search overruns came from vague terms that had never been formally approved. We fixed that by adding a keyword approval policy. The policy didn't slow us down; it saved us money.
What Worked: A Boring Checklist
We didn't stop advertising. That would have been an overreaction. Instead, we treated "falcon" like a component with a questionable supply chain. Every keyword now has to pass a five-point inspection:
- Does it include a product category or application? Examples: "mining conveyor belt," "drilling rig parts."
- Does it include a location that could be a street address? If yes, is that location actually our location?
- Does it overlap with a consumer product, toy, sports team, or public figure?
- Is the match type phrase match or exact match, with negative keywords in place?
- What is the projected cost per qualified lead, not cost per click?
We added negative keywords for "knife," "lego," "millennium," "black falcon ave," "knicks," "jonah vice," and a few variations. We paused the generic "falcon" campaign and rebuilt it around "Falcon equipment" plus our actual product terms. Within two months, cost per qualified lead from branded search dropped from $214 to $63. That wasn't a brilliant move. It was just stopping the leak.
There's something satisfying about watching that number drop—not because it makes the dashboard prettier, but because it means fewer pointless conversations. Personally, I think prevention gets too little credit. A five-minute keyword check is not exciting. But the math is simple: $340 in prevention saved us $16,000 in correction. Not every prevention measure needs to look impressive to be worth doing.
One More Thing: Apply the Same Logic to Every Claim
Per FTC guidelines (ftc.gov), advertising claims need to be truthful and substantiated. I used to think that was a legal team issue. Then I realized it applies to how we buy media too. If we can't substantiate the intent behind a keyword, we shouldn't spend on it. "Falcon" by itself doesn't substantiate anything. "Falcon mining conveyor replacement coil" does.
That said, things change. This was accurate as of Q4 2024. Search costs and USPS rates change, so verify current pricing before you budget. I'd also check your latest search term report before building negatives—your waste will be different from ours.
If you're seeing useless clicks on your brand terms, don't just raise the bid. Trace the intent, add the negatives, and build the checklist. The goal isn't to make the dashboard prettier. It's to make every dollar work for a qualified conversation.