Every RevOps leader has felt the pain of unreliable headcount data—acquired brands still floating in the CRM, duplicate records with mismatched domains, and reps wondering why “SMB” accounts have 15,000 employees.
Nooks was no different. Their SDR & marketing teams route deals by employee count, but parent‑child confusion was flooding Enterprise reps with tiny prospects and forcing mid‑cycle re‑assignments.
Traditional enrichment methods—manual LinkedIn checks or blunt data vendors—couldn’t untangle mergers & acquisitions or verify live headcounts fast enough.
That’s when Peter Mullins, VP Marketing at Nooks, tapped Sculpted + Clay to bring order (and trust) back to their CRM.
“We needed to validate the exact employee counts and whether there was a parent‑child relationship—otherwise our team was chasing the wrong accounts.” — Peter Mullins
Challenges | Solutions |
---|---|
❌ M&A Chaos – Acquired brands borrowing parent headcount ruined routing rules. | ✅ Automated M&A detection isolates acquiring vs. acquired and fixes domain/name mismatches. |
❌ Headcount Inaccuracy – Wrong employee numbers sent reps to the wrong segment. | ✅ 3‑layer enrichment (LinkedIn ➜ ClayGPT search ➜ Apify scrape) delivers >95 % accuracy. |
❌ DIY Clay Attempts – Internal tests couldn’t separate active vs. absorbed subsidiaries. | ✅ Modular Clay workflow flags brands as active or inactive before pushing to HubSpot. |
❌ Lost Productivity – Reps spent time fixing data instead of prospecting. | ✅ Clean, trusted headcounts let SDRs focus on selling, not data entry. |
Nooks’ target‑account list was littered with brands like Clearbit.com (acquired by HubSpot) still showing a 10 k+ employee count pulled from the parent. SDRs were wasting touches on the wrong segment, and marketing campaigns were mistargeted.
“A small company acquired by a larger one would inherit a huge headcount—obviously inaccurate, and it disrupted outbound.” — Peter Mullins
Internal Clay experiments helped—but separating true subsidiaries from dissolved brands proved too brittle and credit‑intensive.