Your ICP is right. The list built from it is wrong.
Most RevOps teams have done the ICP work. They’ve defined the firmographic criteria, built the filters in Salesforce, and aligned with Sales and Marketing leadership on what “good” looks like. The strategy isn’t the problem.
The problem is the data layer those criteria run against. Standard CRM fields capture company size, industry, and geography — the firmographic skeleton of your ICP, stripped of the signals that give it meaning. You may be leaving technology install, IT spend, and competitive stack data out of the equation.
The resulting list looks right. Surfaced accounts appear to be the right size, vertical, and region. But it fails in results. Meetings book, but don’t convert. Healthy pipeline at creation collapses at the 60-day mark. When shortfalls arrive, the conversation turns to sequence optimization or rep effort — not the list itself.
This white paper identifies the structural gap between ICP criteria and ICP execution, explains why it persists regardless of team quality or tool investment, and describes what signal-backed ICP execution looks like in practice.
“Our identified SAM in Salesforce grew by about 80% overnight.”
— Michael Freeman, VP of Marketing, Airbase
Specifically designed for people in charge of Revenue and Sales Operations at growth-stage B2B companies, this white paper guides you to the fix. Inside, you’ll learn how to:
- Diagnose the execution gap: Understand the three structural problems that degrade list quality — stale firmographic snapshots, CRM noise, and gut-check filters that have never been validated against actual outcomes.
- Stop blaming the wrong thing: Late-stage pipeline collapse looks like a messaging or sequencing problem. It's usually a list problem. Learn to tell the difference.
- Surface the high-fit accounts hiding outside your CRM fields: Technographic and IT spend signals don't live in standard CRM fields, so they never factor into scoring or prioritization.
- Cut CRM noise at scale: Use competitive install and IT spend signals to filter out accounts that are competitor-locked, budget-frozen, or structurally misaligned — before reps touch them.
- Validate your ICP filters: Build scoring models that test which criteria actually predict purchase readiness, not just which ones happen to exist as CRM fields.
Companies like Storyblok, and Hyland Software have used HG Insights to close this gap — building target lists that perform on the signal dimensions that matter, not just the firmographic ones that are easy to measure.