Semiconductors & Computing
Companies designing advanced computing platforms, processors and graphics technologies for enterprise and developer markets.Featured companies: NVIDIA
Case Study
Key takeaways
- 3:04Target accounts average nine-plus decision-making unit members across three core roles (C-level, staff evaluators, IT), so uncoordinated messaging from six to eight different channels either confuses buyers or lands as irrelevant — and prospects judge you by the worst touch.
- 9:08Account-level ABM is low resolution: reaching 5,000 of Microsoft's 156,000 employees sounds like good engagement, but gives almost no assurance of touching anyone in the ~400-person buying committee — PBM targets those specific individuals instead.
- 13:14NVIDIA's person-based campaigns hit nearly 29,000 targets across 10,000 accounts and automated 273 engaged in-market DMU members into sales' hands at an 89% account match rate — work that previously took a quarter or two of manual legwork.
- 14:15Move beyond the MQL to an 'automation qualified lead' metric that diversifies intent data — blending account engagement, ad-interaction scoring from Influ2, on-site behavior and third-party signals rather than trusting a single vendor's intent feed.
- 18:19Around 80% of inbound leads use personal email addresses, so they never match enrichment or industry tracks; the next step is push-button orchestration that lets SDRs trigger person-based ad plays in real time right after a call.