Why enrichment decides whether outbound works
Most lists die in the gap between “we have the account names” and “we know enough to write a relevant email.” Manually researching each row doesn’t scale past a few dozen leads, and one-source data vendors leave a third of your fields empty. The result: reps write generic emails to unverified addresses, and reply rates show it.
Liquid Rows treats enrichment as a spreadsheet column, not a batch job. Each column knows how to fill itself — from an API, an AI model, or a research agent that reads the live web — and runs across ten rows or ten thousand.
What you can enrich
- Company facts: summaries, CEO and founders, founding year, headquarters
- Funding rounds and investors
- LinkedIn profile URLs for people and companies
- Verified email addresses with deliverability status
- Custom research questions — pricing model, hiring signals, tech stack — answered with citations
- Anything an HTTP API returns, mapped into columns
How it works
- Import your list. Drop a CSV, map the headers, pick a dedupe key so re-imports never create duplicates. Or start from the built-in lead enrichment template.
- Add enrichment columns. Pick from starter enrichments (company facts, funding, LinkedIn lookup, email verification) or ask your own question in plain language.
- Test, pilot, then run. Test a column on one row, pilot it on the first ten to check quality and cost, then run the whole sheet with a spend limit as your guardrail.
- Push to your CRM. Rows sync to any webhook or CRM endpoint the moment they finish — or export a CSV that honors your active filters.
Built for go-to-market teams
Saved views slice one sheet into everyone’s workflow — “Qualified,” “Missing email,” “Enterprise only” — with filters evaluated server-side. Multi-select and bulk runs handle the messy middle, and a cost ledger records what every cell cost, so scaling from a pilot to a full campaign is a decision, not a leap of faith.
Frequently asked questions
What is lead enrichment?
Adding missing information to leads you already have — company size, industry, decision-makers, contact details, verified emails — so your team can qualify, segment, and personalize. Liquid Rows automates it: import a list and enrichment columns fill in every row.
What data can Liquid Rows enrich?
Anything an API or the open web can answer: firmographics (summaries, founders, funding, HQ), LinkedIn profiles, verified emails, and custom research questions answered by AI agents with cited sources.
How does waterfall enrichment improve match rates?
Providers run in sequence and stop at the first hit, so total coverage is the union of every source rather than the ceiling of one. Cells no source can answer are explicitly marked “not found.”
How much does it cost?
Liquid Rows is bring-your-own-key: connect your own AI and data provider keys and pay providers directly at cost, with no per-row markup. Pilot runs preview cost; per-sheet spend limits cap it.