SaaSMarketingSocial Outreach

LinkedIn Outreach Personalisation Engine - ICP to First Meeting

Marketing uploads a target list of 500 ICP-fit prospects on LinkedIn. AI researches each person's recent activity (posts, comments, job changes), their company's latest news (funding, acquisition, hiring, product launches), and their LinkedIn profile depth. For each prospect, AI generates a unique connection request angle, posts a personalised comment on their recent content, and sequences follow-ups via email and InMail until a meeting is booked.

AI operates via

Voice AgentEmail AutomationCalendar Booking

How It Works

  1. 01

    Prospect Research & Activity Analysis

    AI crawls LinkedIn profile, extracts: recent job change, posts they've engaged with, groups they're active in, company location/size/growth metrics. Simultaneously queries news APIs for company announcements (funding, hiring, new product). Builds rich 360 prospect profile.

  2. 02

    Personalisation Angle Generation

    AI identifies 1–2 authentic connection angles from prospect research: e.g., 'I see you recently moved to VP of Sales-congrats; noticed your team is hiring reps in EMEA; we've just launched a tool to accelerate sales team onboarding.' Generates 3 unique opening versions.

  3. 03

    Staged LinkedIn Engagement

    AI posts a thoughtful reply to prospect's most recent LinkedIn post (within 24h if post is <7 days old), referencing their insight + adding relevant perspective. Wait 2–3 days, then send personalised connection request using one of the generated angles.

  4. 04

    Multi-Touch Email + InMail Sequence

    On connection acceptance, AI sends first email (personalised with company news insight), waits 3 days, sends LinkedIn InMail with video intro, waits 2 days, sends second email with relevant case study. Each message builds on previous context.

  5. 05

    Meeting Booking & Handoff

    If prospect replies positively, AI offers 3 calendar slots for a 'quick discovery call', books meeting, and sends confirmation with agenda. If no response after 3 touches, automatically transitions to nurture campaign or flags for manual outreach.

See How It Works

The AI Employee executes each step autonomously - no human intervention required unless explicitly configured.

Prospect Research & Activity Analysis

Personalisation Angle Generation

Staged LinkedIn Engagement

Multi-Touch Email + InMail Sequence

Meeting Booking & Handoff

Step 01

Prospect Research & Activity Analysis

AI crawls LinkedIn profile, extracts: recent job change, posts they've engaged with, groups they're active in, company location/size/growth metrics. Simultaneously queries news APIs for company announcements (funding, hiring, new product). Builds rich 360 prospect profile.

Step 02

Personalisation Angle Generation

AI identifies 1–2 authentic connection angles from prospect research: e.g., 'I see you recently moved to VP of Sales-congrats; noticed your team is hiring reps in EMEA; we've just launched a tool to accelerate sales team onboarding.' Generates 3 unique opening versions.

Step 03

Staged LinkedIn Engagement

AI posts a thoughtful reply to prospect's most recent LinkedIn post (within 24h if post is <7 days old), referencing their insight + adding relevant perspective. Wait 2–3 days, then send personalised connection request using one of the generated angles.

Step 04

Multi-Touch Email + InMail Sequence

On connection acceptance, AI sends first email (personalised with company news insight), waits 3 days, sends LinkedIn InMail with video intro, waits 2 days, sends second email with relevant case study. Each message builds on previous context.

Step 05

Meeting Booking & Handoff

If prospect replies positively, AI offers 3 calendar slots for a 'quick discovery call', books meeting, and sends confirmation with agenda. If no response after 3 touches, automatically transitions to nurture campaign or flags for manual outreach.

Key Results

48%
Connection Acceptance Rate
18
Demo Meetings Booked per 100 Prospects
+240%
Sales Productivity Gain
Frequently Asked Questions
The key is personalisation - each message is genuinely unique and references real data (their recent post, company news, role). Response rates are 8–12% (vs. 1–2% for generic outreach), signalling authenticity.
AI uses free sources (LinkedIn company pages, press release databases, PitchBook, news aggregators) plus premium APIs (CB Insights, Crunchbase). Coverage is 85%+ for mid-market and above; lower for small private companies.
Yes. You provide brand guidelines and 3–5 example outreach messages. AI learns your tone and applies it to all generated messages, ensuring consistency.
AI cross-checks against your CRM before outreach; skips anyone already in the funnel or customers. You define 'already contacted' logic (e.g., 'Skip if emailed in last 90 days').
Primary metrics: connection acceptance rate (40–50%), email open rate (35–45%), response rate (8–15%), meeting booking rate (12–25% of responses). AI reports on each stage to identify bottlenecks.

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