Every campaign structure I've been handed by a previous agency follows the same template:
Awareness campaigns for branded and generic terms. Consideration campaigns for mid-funnel terms. Decision campaigns for high-intent terms. TOFU, MOFU, BOFU. The three-layer cake.
The theory is elegant. A buyer enters the funnel at the top, moves through the middle, and exits at the bottom as a customer. Marketing nurtures them through each stage.
In industrial manufacturing, this model doesn't exist. Buyers don't follow it.
What actually happens
A procurement engineer at an aerospace manufacturer has a failing dot-peen marking system. Their current machine is breaking down mid-shift. Production is stopping.
They don't start at the top of the funnel. They search "dot-peen marker compatible with aluminum parts thermal cycling." That's not a TOFU query. It's an extremely specific, extremely urgent BOFU query from someone who might finalize a purchase order this week.
Meanwhile, another engineer at a different company searches "Brady marking systems" — what looks like a brand navigational query (BOFU). But they're actually just trying to download a technical spec sheet for their compliance documentation. Not in buying mode at all.
The funnel framework assumes that query format maps to buying stage. It doesn't. Technical specificity doesn't equal purchase intent. Brand queries don't equal conversion readiness.
The structural problem this creates
When you build campaigns around assumed funnel stages, you end up with:
Over-investment in "awareness" keywords that are cheap but attract the wrong audiences. You're getting students and researchers and people doing casual browsing.
Bid suppression on "mid-funnel" terms that might actually be bottom-funnel for a specific buyer. You set conservative bids because the keyword "looks informational" and miss the purchasing engineer who needed that page.
Budget allocation based on psychology theory rather than actual conversion data. TOFU gets a budget "because brand building matters." Non-brand gets a budget "because intent is high." The actual pipeline contribution of each group is often the inverse of the budget allocation.
I've seen accounts where the "awareness" campaign drove 40% of attributed pipeline (because engineers were researching specific technical challenges). And the "conversion" campaign drove 10% (because it was too generic to attract real buyers).
The funnel framework predicted the opposite.
What to do instead
Stop organizing campaigns by assumed psychological stage. Organize them by actual performance dimensions.
By product margin. High-margin products get more budget regardless of funnel stage. Every click that converts on a high-margin product is more valuable than a click that converts on a low-margin product.
By geographic priority. Markets where you have strong close rates, good sales support, and competitive pricing get more aggressive bids. Markets where you consistently lose deals get less.
By CRM close rate. Look at your Salesforce data. Which keywords — not keyword categories, specific keywords — have appeared most frequently in the click histories of closed-won deals? Those keywords get uncapped budgets.
This sounds obvious. It's not how most accounts are structured.
The funnel is a useful mental model for content strategy. For paid search budget allocation, it's a distraction. Allocate budget to what closes, not to what fits a theoretical stage model.
Alex Langton
Senior B2B paid media manager · ~$650K/mo industrial spend
12+ years running B2B Google Ads accounts in industrial, manufacturing, and B2B e-commerce. Builds Langton Tools because generic PPC SaaS was never designed for the multi-MCC, complex- pacing, B2B-vocabulary reality of the accounts that actually drive industrial revenue.