The Problem
B2B outreach is manual, inconsistent, and drops prospects between touchpoints. Sales teams spend hours on repetitive engagement tasks — viewing LinkedIn profiles, liking posts, crafting initial messages, following up via email — with no systematic coordination between channels. Prospects receive either too much attention or are forgotten entirely, and there is no unified view of where each prospect stands in the journey.
The cost is significant: according to HubSpot, sales reps spend only 28% of their time actually selling. The rest goes to administrative tasks and manual outreach coordination.
The Solution
The Warmup Pipeline is a 10-stage agentic outreach engine that automates the entire prospect journey — from initial discovery to booked calls — across LinkedIn and email simultaneously. Each stage builds on the previous one, creating a natural progression of increasingly direct touchpoints.
The pipeline handles prospect research, LinkedIn engagement, email drafting, DM sending, and follow-up scheduling autonomously, while maintaining an approval queue for human oversight on critical messages.
Features
10-Stage Sequence Engine
A structured progression from cold prospect to warm conversation: discovery, research enrichment, LinkedIn connection, profile engagement, content interaction, warm DM, email introduction, value delivery, meeting request, and follow-up. Each stage has defined triggers, timing rules, and success criteria.
LinkedIn Connection Mining and ICP Scoring
Import existing LinkedIn connections or discover new prospects. Each contact is scored against your Ideal Customer Profile across multiple dimensions — industry fit, company size, role seniority, and technology signals — to prioritize high-value targets.
Automated LinkedIn Engagement
The pipeline systematically engages prospects through natural LinkedIn interactions: profile views, post likes, and thoughtful comments on their content. These soft touchpoints build familiarity before any direct outreach, dramatically increasing response rates.
Email Draft Generation with Approval Queue
Claude AI generates personalized email drafts using prospect-specific research and context from previous LinkedIn interactions. Every draft enters an approval queue where you can review, edit, or approve before sending. Nothing goes out without your sign-off.
DM Sending via Playwright Automation
LinkedIn direct messages are sent through Playwright browser automation with realistic timing, session management, and human-like interaction patterns. Messages reference specific prospect context — recent posts, company news, shared connections — for authentic personalization.
Sequence Healing
Prospects who stall at any stage are automatically detected and re-engaged. The system adjusts timing, switches channels, or escalates to manual review based on configurable rules. No prospect silently drops out of the pipeline.
Contact Discovery with Email Verification
When email addresses aren't available, the pipeline discovers them through multiple enrichment sources. Every discovered address is verified through ZeroBounce for deliverability before entering the sequence, protecting your domain reputation and ensuring high delivery rates.
Results
- Systematic engagement: Every prospect receives a coordinated multi-channel sequence instead of ad-hoc touchpoints
- Zero manual overhead: Profile views, post engagement, and follow-up scheduling run autonomously
- Quality control: Approval queue ensures every direct message and email meets your standards before sending
- Pipeline recovery: Sequence healing catches stuck prospects and re-engages them automatically, eliminating the "forgotten prospect" problem
