The Myntmore Framework

The engine behind every campaign we run

We identify your ICP and find real prospects, generate a personalized connection note for each one, send everything through a human-behaviour engine that keeps the account safe, then follow up right on schedule.

myntmore-outbound-engine.workflowv2.3.1Active
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Only prospects that actually match the ICP move forward. Everyone else is filtered out right here.
A failed send is logged, not retried blindly. No risk of flooding the account.
We wait for a real acceptance before following up, never spam a pending request.
19 nodes · 19 connections

Scroll or pinch to zoom · drag to pan · tap a node to see what it does

How Every Step Works

What each node actually does

Define ICP & Criteria

icp.define

Every campaign starts by defining exactly who you're targeting: industry, seniority, company size, and the buying signals that matter.

Search LinkedIn

linkedin.search

The automation searches LinkedIn against those ICP criteria and builds a live list of prospects who actually match.

Analyze Prospect Profile

profile.analyze

Each prospect's profile is read and analyzed, so the outreach that follows is built around who they actually are, not a generic template.

Generate Personalized Note

ai.personalize

A personalized connection request note is generated for each individual prospect, based on their profile, not copy-pasted across the list.

Send Connection Request

linkedin.connect

The personalized note is sent as a connection request, on a schedule and pace set by the Human Behaviour Engine.

Send Follow-Up #1

linkedin.followUp1

Follow-up messages go out in a timely manner, on the same human-safe schedule, so no warm prospect gets forgotten.

Human Behaviour Engine

safety.humanize

Every send, every delay, every pause is run through this layer so sending behaviour mimics a real human, keeping the LinkedIn account safe from bans.

See it run on your own pipeline

Book a call and we'll walk you through the framework live, against your own ICP.