A one-screen market snapshot with year-over-year changes, ready for a pitch deck or a content hook.
Your assistant runs these steps against Model Match through the MCP:
Marketing
For purchase loans originated in North Carolina in the last 12 months, break down the mix by loan type (conventional, FHA, VA) and show the first-time vs. repeat homebuyer split. I want data points for a campaign aimed at first-time buyers.
Product mix and first-time buyer share to use in campaign copy and audience targeting.
Marketing
Rank the counties in Florida by purchase mortgage volume over the last 12 months, showing loan count for each, so I can decide where to spend a geo-targeted ad budget.
Counties ranked by purchase volume and units, showing where demand is concentrated.
Marketing
Who are the top 10 mortgage companies by loan volume actually produced in Georgia over the last 12 months? Rank them by in-state volume, not headquarters location, and show each one's in-state units and national volume.
The biggest lenders by in-state production, including national players headquartered elsewhere.
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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