What problem does it solve?
Cold email personalization about a prospect's funding round often fails because databases mix in secondary sales, PE stakes, and stale dates, and spintax cannot conditionally render a variable. This playbook produces a verified, copy-ready funding sentence per company plus the list-building filters that select funded companies.
Core Features & Use Cases
- Three-lane signal routing: separates "ever raised" list filtering (free search filter), per-row copy line generation (the tested path), and "raised in the last 30 days" (documented as unsolved due to 3-4 month index lag).
- Code-enforced fact guards: domain-equality check, equity-stage filter, and 12-month recency window all run in code before the model, so the AI only chooses wording and cannot invent a round.
- Self-erasing output variable:
funding_line carries the whole sentence including the leading "Saw" and trailing period, so abstaining rows render nothing instead of broken copy like "Saw .".
- Use Case: Building a cold email campaign targeting recently funded startups — filter the TAM to equity-stage companies, generate a first line like "Saw you raised $52M in the Series B." per lead, and push it as a custom variable to the sequencer.
Quick Start
Ask the assistant to generate funding-round first lines for a list of company domains using the fundraising playbook, then push the funding_line variable into the email body on its own line.