Online Optimisers · Morell
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Network Intel · Mr Morell Portfolio

The Network Mr Morell Already Has

Mr Morell's LinkedIn network spans five industries, 28 states, and years of relationships. Most of it has never been mapped.

What the Map Shows

Three layers hidden in the existing network.

Connection overlaps across all 5 businesses

A person connected to Evergreen Solar who also touches NEXA mortgage is a cross-sell signal. The map surfaces every overlap automatically.

Warm intro paths to decision-makers

Cold outreach to a CFO converts at 2-3%. An intro from a shared connection converts at 20-40%. The map identifies every viable intro path.

2-degree paths to buyers in every target market

Across 28 states, Mr Morell is within two degrees of most commercial solar buyers, real estate operators, and mortgage decision-makers. That proximity is unused today.

Build Process

How we build it.

Step 01
Export connections
LinkedIn native export. One CSV. All first-degree connections with title, company, and location.
Step 02
Enrich with business context
Each connection mapped against the 5 business verticals. Overlap scoring applied per record.
Step 03
Map overlaps
Graph of shared connections across businesses. Intro path depth calculated for each high-value target.
Step 04
Surface warm intros weekly
A weekly briefing delivered to Mr Morell and Tomas. Three intro opportunities per week, ranked by conversion probability.
What It Produces

Two live outputs.

Network graph

Every first-degree connection plotted across the 5 businesses.
Overlap nodes highlighted where connections span more than one vertical.
Geographic heat by state. Filters by vertical, title seniority, and company size.
Updated on each new connection export. No manual maintenance.

Weekly warm intro briefing

Three people Mr Morell should contact this week and the specific reason why.
Intro path named: "Connect through [name] at [company]."
Suggested message draft included. One click to send via LinkedIn.
Outcome tracking: response rate and booked meetings logged per recommendation.
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