[Network Economics Lab]

I’d add one layer to this framework: separate production from contribution.

A branch can grow volume and still destroy margin if compensation, support costs, recruiting costs and fixed overhead grow faster than contribution.

For each MLO or branch, I would track at least:

• revenue generated
• total compensation
• support and operating costs
• recruiting/ramp cost
• contribution margin
• break-even production
• payback period on a new hire

Then I’d stress-test the model under lower production.

A decision that only works at the “best case” production level is usually not a very strong decision.

The most useful question in due diligence is often not “How much can this branch produce?” but:

“How much incremental profit does the next dollar of production actually create?”

[Network Economics Lab]

One part of this discussion that deserves more attention is the actual unit economics behind the branch.

A higher compensation percentage can look attractive while still producing worse economics for the branch.

Before changing a comp plan or adding another MLO, I think a branch should know at least four numbers:

• break-even production per MLO
• net contribution after compensation and support costs
• sustainable payout at the target profit margin
• EBITDA impact if production drops 15–20%

Production alone doesn’t tell you whether a network is healthy. Two MLOs producing the same volume can have very different economic value depending on revenue rate, compensation and operating costs.

The interesting question isn’t just “How much does this MLO produce?”

It’s “How much does this MLO contribute after the full cost of supporting that production?”