When competitive intelligence and production planning draw from separate sources, even subtly inconsistent ones, the decisions they produce work against each other. A branch manager optimizing for targets based on national volume projections may be chasing a market that local recorded data shows is already contracting. A sales director benchmarking competitive share against a lagged dataset may be reacting to a landscape that has shifted. The fix is not more reports. It is one authoritative data layer that can answer both questions at the county and originator level simultaneously.
The urgency here is not hypothetical. The Mortgage Bankers Association projects single-family mortgage originations will climb to $2.2 trillion in 2026, up from $2.0 trillion expected this year, as the industry braces for a year shaped by shifting rates, evolving affordability, and regional disparities in home prices. That national number is useful as a planning backdrop, but it obscures more than it reveals. HousingWire’s coverage of the forecast notes that MBA’s own economists expect housing market developments to be location specific, with growing housing inventory in markets such as Florida, Colorado, and Arizona leading to annual home-price declines, while tight inventory and challenges to homebuilding in the Northeastern and Midwestern states, such as New York and Connecticut, tell an entirely different story. Running one production plan against a national origination forecast, when regional performance diverges that sharply, is a structural error.
The Forecasting Gap That Granular Data Closes
National forecasts set the stage. They do not determine which loan officers in which counties are actively taking market share from your institution right now. Those are two different signals, and conflating them is where planning goes wrong.
Serhant ranked Connecticut as the number one hottest real estate market in the country heading into 2026, with Rhode Island coming in third and Massachusetts landing in the top five, all three states outperforming the national average. That regional strength is visible in the deed and mortgage recording data that The Warren Group collects and maintains directly across all six New England states. When three states in one compact region are outperforming the country, a lender relying on national volume projections to set county-level targets is flying without instruments.
The FHFA House Price Index through the first quarter of 2026 shows U.S. home prices rising 1.7 percent year over year, but Vermont posted the third-highest annual appreciation in the country at 4.9 percent and Connecticut posted the fourth-highest at 4.7 percent, both running well ahead of the national rate. That kind of price appreciation, compounded by the constrained inventory conditions the region carries into every selling season, means mortgage volume in New England markets can be running well ahead of national trends, even when national headlines suggest a sluggish environment. Lenders who set targets from the top down, without checking county-level recorded transaction data, risk under-resourcing exactly the markets where origination opportunity is highest.
One Data Layer for Competitive Intelligence and Planning
Competitive monitoring and production planning work best when they are built on the same foundation. Combining detailed mortgage and transaction data with loan originator and NMLS intelligence makes it possible to see not only where lending activity is occurring, but which lenders and individual originators are driving it.
Mortgage MarketShare Module: Understand the Market
The Mortgage MarketShare Module turns that data into competitive market intelligence, allowing lenders to analyze performance across markets, benchmark against competitors and identify areas of opportunity. Reports can also be taken down to the transaction level, connecting market-level trends directly to the loans behind them.
Loan Originator Module: Understand Who Is Driving It
The Loan Originator Module brings the same level of visibility to individual loan officers. NMLS-linked origination activity helps identify productive originators, understand who is driving competitor volume and move from market analysis to more targeted recruiting and business-development strategies. NMLS and loan originator data can also provide the contact intelligence needed to act on those findings.
One Data Foundation, Two Decisions
The advantage is simple: the same underlying data can support both sides of the decision. Mortgage MarketShare shows where a lender stands and where opportunity exists. Loan Originator intelligence shows who is driving that activity. Together with detailed mortgage, loan originator and NMLS data, they create a shared factual foundation for competitive monitoring, target-setting and growth strategy.
When both decisions run on the same numbers, market intelligence becomes much easier to turn into action.
Explore our mortgage and lending data solutions or contact our team to learn how these datasets and tools can support your strategy.
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