Niche industrial keywords pull in tire-kickers, students, and consumer traffic. Philip filters for buyers.
Industrial B2B keywords like 'stainless steel fabrication' or 'precision CNC machining' sound specific, but Google's broad-match expands them into student research, hobbyist queries, and consumer-grade comparison shopping. You pay for clicks that will never become RFQs.
Industrial purchases involve multiple stakeholders, RFQ rounds, and decision windows measured in months. Default Google Ads attribution credits the last click before conversion, which usually means a branded search at the end of a long process. The keywords that actually started the journey get defunded.
A search for 'DN50 PN16 flange manufacturer Germany' is worth more than a thousand searches for 'industrial supplier'. Google's automation pushes you toward broad themes, away from the long-tail technical queries where qualified buyers actually search.
Philip applies exact-match strategies and B2B-focused negative keyword libraries automatically. Tire-kicker queries get blocked at the keyword level, not after the click.
Position-based attribution that credits the keywords starting the conversation, not just the branded search at the end. Multi-touch insight without manual data layer setup.
Long-tail keyword discovery tuned for technical and industrial vocabulary across English, German, French, Italian, and Dutch. Philip surfaces the queries Google's broad-match would have buried.
Lead quality improves 40% in the first quarter. Measured by RFQ-to-quote conversion.
For European SMBs and freelance media buyers running their own Google Ads.
For agencies and freelance media buyers managing multiple clients.
Prices exclude VAT. Billed monthly. Cancel anytime.
