← Back to docs
Recipe

Sales outreach personalizer

Generate hyper-personalized cold outreach at scale using prospect signals, company data, and your product context.

Overview

This recipe ingests a CSV of prospects, enriches each row with public signals (job changes, funding rounds, tech stack), and produces per-prospect email drafts that reference specific triggers. Output lands in your CRM or a review queue.

Input schema

columns:
  - email (required)
  - first_name
  - company_name
  - linkedin_url
  - role

Steps

  1. Enrich — pull company news, tech stack, and recent role changes per prospect.
  2. Score — rank prospects by signal freshness and ICP fit.
  3. Draft — generate email body referencing the top signal, your value prop, and a soft CTA.
  4. Review — push drafts to a shared Google Sheet or Slack channel for human approval.
  5. Send — queue approved drafts through your outbound tool via API.

Output format

per_prospect:
  email: string
  subject_line: string
  body: string
  signals_used: string[]
  confidence: 0.0-1.0

Need help wiring this into your stack? Talk to us.