When Peanut Butter Shows Up in a B2B Keyword Plan, Look at Total Cost, Not Click Price
I review vendor bills for a living. That sounds narrower than it is. Several years into managing procurement for an industrial equipment distributor, I found myself inside our paid search budget, looking at a Q4 search term report and trying to figure out where the money went.
Our marketing lead forwarded it to me with one question: Does anything look odd? It did. The report was supposed to support search campaigns for the industrial brands we distribute, including Messer cutting equipment. Instead, the keyword list included these terms:
messer, sog messer, messer construction louisville, simparica, peanut butter, how many fumbles does henry have
The first clue was peanut butter. The second clue was how many fumbles does henry have, which is not a purchasing question unless we somehow started selling fantasy football advice. My first reaction was not anger. My first reaction was confusion about how an industrial equipment campaign ended up with a veterinary product, a food item, and an NFL stat in the same list.
Then I looked at the invoice.
The Surface Problem: Cheap Traffic Is Not the Same as Low-Cost Traffic
Most of those strange keywords were cheap. That was exactly the trap. When an ad platform expands a short brand keyword like messer, it does not necessarily expand it to cutting nozzles or replacement consumables. It can expand to sog messer, which points someone toward knives, not industrial equipment. It can expand to messer construction louisville, which points toward a completely different business.
The single biggest mistake I see in B2B procurement is treating the per-click price as if it were the total cost. A keyword can cost $0.20 per click and still be outrageously expensive if it never produces a real sales conversation. We paid for clicks that had no connection to our buying process. Not one query in that list produced a request for quotation. Not one produced a meaningful download. The clicks were cheap, and the outcome was worthless.
The question everyone asks is who approved this keyword list. The question they should ask is why the list was judged by cost per click instead of potential value per inquiry.
The Deeper Issue: Ambiguous Keywords Get Judged by the Wrong Metric
What I mean by that is simple: search advertising is not inventory. You are not buying discounted traffic in bulk. You are renting an opportunity to be useful to someone at the exact moment they type a question. That only works when the keyword tells you something about what the person wants.
The word messer is ambiguous. It is a brand name in industrial gas and cutting systems. It is also the German word for knife. It is part of other business names, including construction companies. And when you let an algorithm decide which close variations count, you end up paying for searches that look similar but have nothing to do with your product category.
Most people assume that the solution is to add more negative keywords. Negatives help, but they do not fix the core problem. The core problem is that a buying keyword should contain more than just a brand name. It should contain a product category, a model family, or a buying action. If it does not, the auction system will fill in the blanks with its own assumptions. Those assumptions are not priced into the bid.
What the Mess Actually Costs
Here is the part that convinced me to change how we review vendor performance.
In our Q4 2024 internal tracking system, the broad expansion group generated roughly 14,000 impressions and 876 clicks at an average cost per click of $1.14. Total spend was about $999. It produced zero completed inquiries. The group built around specific product terms cost more per click, about $4.20, and generated far fewer clicks, around 340. That group cost about $1,428 and produced six inquiries by the end of the quarter. That worked out to roughly $238 per real inquiry.
Neither number is beautiful. But one of them is a price for a possible opportunity. The other is a price for nothing.
The less obvious cost was data pollution. Once garbage search terms enter your reporting, every downstream decision gets distorted. Brand search volume looks inflated. Cost per lead numbers look wrong. Attribution reports point to keywords that have no relationship to revenue. That causes internal distrust, and distrust causes budget cuts in areas that actually need investment. I don't have hard data on how often this happens across our industry, but based on seven years of reviewing vendor invoices, my sense is it is far more common than people want to admit.
As of February 2025, Google Ads Help still describes broad matching as a way to find variations using search behavior, landing page context, and other signals. That works when your keywords are explicit. It fails quietly when your keyword is a short word with multiple meanings. If you rely on the platform to interpret a word like messer, you are not really running a B2B campaign. You are running a lottery with someone else's algorithm choosing the numbers.
The Fix Is Shorter Than the Problem
Stop buying keyword lists. Start buying inquiry paths.
That means separating brand terms from product terms. It means targeting phrases like messer replacement nozzles or messer cutting machine consumables instead of a naked brand word. It means measuring the total cost per qualified inquiry, not the cost per click.
When a vendor presents low-cost keywords, ask what those keywords will do after the click. If the answer does not lead to a quote request, a spec sheet download, or a direct sales conversation within 90 days, its low price is just waste that has not been counted yet.
Peanut butter can be a perfectly good product. Simparica can be a perfectly good medication. Neither one belongs in an industrial cutting equipment campaign unless someone has found a way to cut steel with a sandwich. The cheapest click in the world is still too expensive when the only thing it produces is a zero.