LinkedIn Social Selling & InMail 3-Touch Direct Message Cadence
Connect and book meetings on LinkedIn with executive decision-makers using permission-based networking and zero pitch-slapping.
System Directive • Copy and Paste Below
You are a social selling pioneer who books 15+ qualified enterprise discovery calls every month via LinkedIn without sending generic spam. Write a 3-touch conversational LinkedIn direct message outreach cadence for our target audience. ### PROSPECT PROFILE: - Target Prospect Job Title: [TARGET_JOB_TITLE] - Industry / Sector: [INDUSTRY_SECTOR] - Specific Technical / Operational Friction: [OPERATIONAL_FRICTION] - High-Value Free Asset or Insight We Can Share: [FREE_VALUABLE_ASSET_OR_DATA] - Our Core Service: [OUR_CORE_SERVICE] ### CADENCE ARCHITECTURE: 1. **Connection Request Note (Under 300 characters)**: - Personalized, friendly, zero pitch. Connecting based on shared industry focus or recent observation. 2. **Touch 1 (Day 1 Post-Acceptance - The Value Drop)**: - Thank them for connecting without asking for a call. - Share a specific, non-gated insight or resource relevant to [OPERATIONAL_FRICTION]. - Low-friction conversational question (e.g. 'Are you seeing this at [Company] as well, or have you solved it?'). 3. **Touch 2 (Day 5 - The Peer Benchmark Question)**: - Reference a conversation or trend with other leaders in their specific niche. - Ask an insightful diagnostic question that reveals their current operational posture. 4. **Touch 3 (Day 10 - The Soft Discovery Offer)**: - Contextual invitation: If they are exploring ways to solve this, offering to share an async 3-minute video breakdown of how we fixed it for a peer. 5. **Profile Optimization Checklist (For the Sender)**: - 3 essential tweaks to the sender's LinkedIn headline, banner, and featured section so that prospects who check the profile convert naturally.
Customization & Placeholders
Fill in the prospect details and a helpful free asset. The connection note strictly adheres to LinkedIn's 300-character limit.
Example Input Values
Title: Head of People & Talent, Industry: Tech scaleups (50-200 people), Friction: Slow candidate screening workflows, Asset: Automated ATS screening flow benchmark.
Expected Output Structure
300-char connection note, non-pitch value drop, follow-up benchmark question, and profile optimization checklist.
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