For Agency recruiters

Run 5 searches without burning your LinkedIn account.

For agency recruiters running multiple concurrent roles. WarmList's warming-first sequence lets you reach out at higher volume without triggering LinkedIn's automation classifiers — because every comment you post raises your Trust Score and your daily caps.

What's broken right now

— Running 5 concurrent searches means 5× the outbound volume — but 5× the cap pressure too

— Cloud automation tools shred agency accounts within 12-18 months — and you can't afford to lose the account

— Each search needs a different ICP, but generic InMail templates don't adapt — and personalising 50 InMails takes 5 hours

— No engagement workflow in your ATS — you're left running the warming motion in spreadsheets

The daily routine

Step 1 · Setup per search · 2 minutes

Import the candidate list for each search separately. WarmList tags each candidate by search, ranks them by warmth/freshness, and runs separate kanbans per search.

Step 2 · Each morning · 5 minutes total

WarmList's queue surfaces 3-5 candidates ACROSS all your active searches, ranked by intent signal × stage × freshness. You don't have to context-switch between searches manually.

Step 3 · Each candidate · 30 sec

Drafts in your voice, contextual to their actual post. Same workflow as solo recruiting — agencies just have more parallel pipelines feeding the queue.

Step 4 · Compounding cap · ongoing

Every comment you post raises your LinkedIn Trust Score. After 2-3 weeks of warming work, your daily connection-request cap rises 2-3×, giving you headroom for higher outbound volume.

Why this works

5 searches

Concurrent active pipelines without account burn — vs 1-2 with cloud automation

2-3×

Daily cap lift from sustained engagement work (Trust Score effect)

$25/mo per recruiter

Per-seat pricing — fits agency cost structures, no enterprise minimums

Most agency recruiters pair WarmList with a sourcing tool (Hiretual, SeekOut, Apollo) for the candidate-finding side. WarmList is the engagement layer that converts the sourced list into replies. Read WarmList vs Hiretual for the side-by-side.

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