Write personalized cold outreach that converts

Draft personalized cold outreach sequences for specific prospects

Individual founder or early-stage BD reaching out to specific prospects where 10 minutes of research transforms a generic cold message into a warm, personalized conversation starter.

• · Target prospect: name, role, company, why them specifically
• · Research signals: recent news, LinkedIn activity, company growth, role context
• · Sender positioning: who you are, what you offer, unique credibility
• · Platform: email, LinkedIn, or both
• · Batch size: single prospect or multi-prospect campaign

• · Connection request (LinkedIn, max 300 characters) or subject line (email, 2-4 words lowercase)
• · Primary message: full outreach text (emails <125 words, InMails <500 chars)
• · Follow-up sequence with timing and new angle per touch (24-48h, Day 7, Day 14, Day 21)
• · Personalization notes: what to customize per recipient if sending to multiples
• · Tier label: personalization tier used (Tier 1 custom, Tier 2 templated+personalized, Tier 3 volume template) and rationale

• · Web search for prospect research (10 minutes per prospect to find signals)
• · LinkedIn for connection intent and prior interactions

• · Target prospect is identified (at minimum: name, company, role)
• · Sender has clear value proposition or reason prospect should listen
• · Email or LinkedIn account is set up for sending

• · Personalization removed and message still makes sense (personalization is not working, rewrite needed)
• · Cold message pitched product before understanding prospect problem
• · Research generic ('CEO in tech') instead of specific (recent funding, product launch, LinkedIn activity)
• · All follow-ups same angle (Day 1 pain, Day 7 pain, Day 14 pain — no new information)
• · CTA asks for demo or demo call instead of conversation
• · Message too long (respect prospect's inbox)

• · Personalization tier framework: Tier 1 uses 2+ research sources (strongest), Tier 2 uses company info + role context (medium), Tier 3 uses volume template with strong value prop (weakest)
• · Four-touch sequence with distinct angles per touch (connection → thanks for connecting + signal, follow-up with new angle, value share with soft reconnect, breakup with binary close)
• · Research signal ranking: Tier 1 news (funding, launches, hires) > Tier 2 LinkedIn activity > Tier 3 company growth > Tier 4 role/industry
• · Writing principle: 'if you remove the personalization and message still makes sense, personalization is not working — rewrite'