Signal-Based Cold Email (2026 benchmarks)

SkillCommunication

Write a signal-based cold outreach email that earns a reply. Use when drafting outbound/SDR email to a prospect with a known recent signal (funding, hiring, exec hire, launch, community post).

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Signal-Based Cold Email (2026 benchmarks) skill

What this skill tells your AI

The instructions your AI receives, as published by kami-community/kami in skills/signal_cold_email/SKILL.md and read by ahel’s review.

Baseline cold reply rate is ~3.4%. Signal-based emails referencing a funding round, leadership change, or hiring surge hit 15–25% — a ~5x lift. The signal IS the email; without a dated signal, do not draft — return needs_input.

Structure (exactly this order)

  1. Hook — why you are writing, tied to the dated signal. Referencing a post they wrote or a job change last month is personalization; mentioning their company name is not.
  2. One-sentence value — what you do for someone in their exact situation.
  3. One proof point — a single number or named customer. One, not five.
  4. Single low-friction CTA — one question or one 15/20-min ask. Never two asks.

Hard rules (Reviewer will reject violations)

  • Plain text. 3–5 sentences. Under 150 words.
  • Exactly one CTA.
  • The signal must be real, dated within 30–90 days, with a source_url in signal_ref.
  • Subject line under 50–60 chars, thesis-fit, no clickbait, no ALL CAPS.
  • Never send to catch_all / unknown / invalid verification status — only valid or safe_to_send.
  • Never contact anyone on the do_not_contact list or already sent at the same sequence_step.
  • Prefer a verified public/role inbox scraped from the company site (or founder-provided email). Never invent an address.
  • Prioritize recipients by Fit × Intent (high fit + fresh signal first). Personalize from the dated signal and anything verifiable about the person online — relevance beats clever openers.

Follow-up sequencing (real-agency cadence)

  • Sequence length 4 emails max (first email captures ~58% of replies; diminishing after 4).
  • Cadence: day 0 → day 3 → day 7 → day 14. Set followup_at accordingly when a send completes.
  • Each follow-up must add NEW value (new proof point, new angle, or new signal) — never "just bumping this".
  • Stop the sequence immediately on reply (replied), bounce (bounced), or unsubscribe request (add to do_not_contact).
  • Respect business_rules.max_sends_per_day (default 35/mailbox).

Output

Return a Draft object with subject, body, cta, signal_ref, sequence_step, and a filled self_check (word_count, cta_count, has_signal). Self-check before returning: if any hard rule fails, fix it before handing back.

Signals

GitHub stars
64
Forks
9
Last commit
Aug 2026
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Item type
skill
Key
signal-cold-email
Source
github.com/kami-community/kami