Arrivals and departures by company: who you're recruiting from, and who's recruiting your people.
Your assistant runs these steps against Model Match through the MCP:
Executives
How did your company's total loan volume, units and average loan size over the last 12 months compare with the prior 12 months? Which states and counties drive most of our book?
Year-over-year volume and units for your company, plus its top states, counties and cities by share of production.
Executives
Which mortgage companies had the biggest net gain in loan officers in Florida over the last 12 months, and how much volume came with them?
Companies ranked by net loan officer gain, with gained, lost and net counts and the production that came with them.
Executives
What share of your company's loans landed in low- and moderate-income census tracts, and how does that compare with the overall Georgia market broken out by county?
Your LMI-tract, majority-minority and rural shares, benchmarked against the market's community lending profile by county.
Connect the Model Match MCP to your AI assistant and ask about loan officers, agents, lenders and markets in plain English, answered from real records.
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