I want personalized cold outreach for these 20 prospects
A ready-to-send cadence for a 20-prospect list, each message grounded in signal-based research.
A ready-to-send cadence for a 20-prospect list, every message grounded in actual signals rather than merge-field fluff.
The prompt
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$ Here are 20 prospect names and companies. Research them, score them against my ICP, and draft a personalized first-touch sequence.
What the Algorithm does
Bdr owns the ICP scoring and multi-channel sequence shape. Research does the enrichment pass — surfacing the buying signals that make each message feel written for one person. Sales wraps everything in stakes-based narrative so the outreach actually lands.
What you'll see
$ ♻︎ Entering the DOS ALGORITHM… (v0.0.1) ═════════════🗒️ TASK: Personalized cold outreach for 20 prospects━━━ 👁️ OBSERVE ━━━ 1/7🔎 REVERSE ENGINEERING:• Wants: 20 personalized sequences, signal-grounded• Not wanted: mail-merge slop, fake relevance💪🏼 EFFORT LEVEL: Extended | Per-prospect research plus drafting🏹 CAPABILITIES SELECTED:• Bdr (Score + Sequence) — ICP scoring, cadence shape• Research (Standard, per prospect) — signal enrichment• Sales — stakes-based narrative framing━━━ 📋 PLAN ━━━ 3/7Score list against ICP → enrich top 20 in parallel → draft sequences → narrative pass.━━━ ⚡ EXECUTE ━━━ 5/7Bdr scores across fit, signals, seniority, company size. Research pulls 2-3 fresh signals per prospect. Sales tightens the stakes line on each.✓ Done. 20 sequences drafted, 14 flagged as high-confidence.
What you get back
A campaign folder: one file per prospect containing the ICP score, the signals Research found, the full first-touch email, and a 3-step follow-up cadence. A summary sheet ranks the 20 by confidence and flags anyone below the ICP floor so you don't waste the first touch on bad fits.
Variations
- Just score them, don't write the emails yet
- LinkedIn-only sequences, skip email
- Shorter sequences — 2 steps not 4
- Use my existing templates as the starting point
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