Intent Classifier for industrial coatings

Intent Classifier routes search terms to TOFU (top-of-funnel research), MOFU (mid-funnel evaluation), BOFU (bottom-funnel ready-to-buy), and EXISTING (current customer reorders) so you can point different terms to different landing pages and bid strategies. In industrial coatings, a TOFU searcher might type "what is electroless nickel plating" or "ASTM B633 vs B634", a MOFU searcher might type "electroless nickel plating services near me", a BOFU searcher might type "electroless nickel plating quote RFQ", and an EXISTING customer might type "order status plating vendor". These are all specification-related but entirely different intents and funnel stages. Most shops run them all in one campaign and watch ROAS collapse. Intent Classifier sorts them so you can build TOFU landing pages around process education (ASTM specifications, salt-spray testing, PPAP documentation), MOFU landing pages around capability proof (certifications, past customers, turnaround times), BOFU landing pages around quote requests (file upload, pricing, lead-time calculator). AI-assisted classification handles edge cases — queries that look TOFU but are actually BOFU because the searcher is trying to verify a specific spec before sending an RFQ. BOFU volume hands off to Forge as exact-match keywords so ready-to-buy traffic gets the most-specific bid structure. Recommendation: run Intent Classifier on your specification-tier search terms (ASTM, MIL, AMS, electroless nickel, hard anodize, PPAP, salt-spray testing) and separate TOFU education pages from MOFU capability pages from BOFU quote pages — the funnel-stage split improves conversion rates by 30%+ because each stage gets the landing page it actually needs.