Scrub for industrial coatings

Scrub detects B2C contamination in your search-term reports using NLP heuristics. In industrial coatings, contamination is severe: "powder coating" returns hobbyists, automotive enthusiasts, and garage refinishers at a much higher volume than production-shop buyers. Scrub flags terms that contain hobbyist language (DIY, hobby, garage, custom, restoration, hand-crafted, motorcycle, hot rod, frame, wheel, jewelry, home, Etsy) so you can bulk-negative them in one session instead of hand-reviewing 500 terms. For coating shops, the biggest contamination pools are automotive aftermarket (wheel coating, frame coating, motorcycle, hot rod, ATV restoration) and hobby metalwork (metal art, custom metal, decorative). Scrub's NLP heuristics catch ambiguous terms — "brass coating" could be aerospace-spec work or decorative jewelry, "steel finishing" could be ASTM-grade production or hobby tool restoration. When heuristics are unsure, Scrub flags for AI-assisted classification so you can make the call. Bulk negative export is ready for Google Ads Editor so the harvest goes straight into your account. When flagged-term volume drives Audit recommendations, you see contamination as a structural account-health issue, not just a reporting artifact. Recommendation: run Scrub weekly on your search-term reports and specifically look for the contamination pools (automotive aftermarket, hobby restoration, DIY, custom art) — harvest those negatives aggressively and re-run monthly because Smart Bidding is constantly finding cheaper contaminated-intent pools.