Online Optimisers · The Mycelium
OO · Confidential
DATA IN ROUTE agent match AGENT ACTS RESULT feeds back THE MYCELIUM
The Learning Network

The system learns every time
you close a job.

Most agencies reset after every campaign. Ours compounds.

What It Actually Does

The difference is the feedback loop.

Without the learning layer
  • Generic copy every time, starting from zero
  • Same channels regardless of what worked last time
  • No record of what message closed what job
With the learning layer
  • Copy improves each batch based on what moved real records
  • Best-converting channels get more spend automatically
  • Every closed job trains the next one
What Improves

Four signals. All tightening.

Copy quality
Subject lines, hooks, and CTAs that convert in this market update each batch.
Channel mix
Spend shifts toward the channels that actually closed jobs, not the ones with the most clicks.
Record priority
Leads that look like closed jobs get contacted first. Low-signal records get skipped.
Close attribution
Every job is traced back to the message and channel that preceded it. No guesswork.
Batch 1 vs Batch 10 performance gap: measurable by week 8.
The system is not the same system it was when you started. That is the point.
Online Optimisers

The Mycelium · Confidential · OO Capability Brief