We built the targeting system we couldn't find.

If you've ever tried to systematically prioritize which accounts to target, you know the challenge. Standard filters give you thousands of companies: "B2B software, 50–200 employees, UK-based." Great. Which 200 of those 8,000 actually have your specific pain point? Which are in a buying window? Which will actually convert?

You try the "intelligent" tools. They promise AI-powered prospecting, intent signals, account scoring. What they actually deliver: surface-level firmographics that miss what really predicts conversion. You're back to reps picking accounts by gut feel.

We lived this across multiple businesses — as founders, as GTM leaders, as consultants. Every time we needed to systematically target accounts, we hit the same wall: no way to identify which companies truly fit without manual research that doesn't scale. No way to move from "looks like a good fit" to "scientifically ranked by conversion likelihood."

That's not a tooling gap. That's a foundational problem. And we decided to fix it.

Firmbase is built on a premise: sales teams shouldn't guess which accounts to prioritize. Targeting should be systematic, data-driven, and based on what actually predicts conversion — not just industry and size. We built two ways to solve this:

For teams who want to explore themselves: A self-serve platform with natural language search across 5M+ UK companies, scored by conversion intelligence. Build live targeting queries that stay current — not one-time lists that go stale.

For teams who need it done for them: A service that analyzes your ICP, scores UK companies by fit, and deploys a live targeting system into your CRM in 5 weeks. Your reps get prioritized accounts ranked by conversion likelihood, maintained monthly.

Both are built on the same foundation: the UK's deepest company dataset (Companies House + 50 enrichment sources), scored by multi-variable conversion intelligence. Whether you use the tool or hire us to build your system, the outcome is the same — reps working accounts most likely to convert, not guessing.

Targeting shouldn't be an art. It should be science. The best salespeople have pattern recognition — they "know a good fit when they see one." But that knowledge stays in their heads. New reps don't have it. The approach doesn't scale.

We believe every company should be able to systematically identify which accounts to prioritize, based on what actually predicts conversion for their specific product. Not generic filters. Not gut feel. Data-driven prioritization that gets better over time.

That's what we built.