Optimal Blue has announced the launch of its Competitive Analytics solution that will help lenders to gauge performance through visualizations that illustrate market position, compare margins and profitability, and assess the effectiveness of their current pricing strategies.
The Plano, Texas-based secondary-marketing solutions provider for the mortgage industry said that with mortgage rates at all-time lows, lenders are experiencing a surge in production, requiring access to real-time business intelligence to understand how well they are performing. The solution offers three types of industry benchmarking capabilities:
- Volume Benchmarking: Advanced volume benchmarking allows the user to compare their loan production to the overall market and chart volume trends across specific time periods–by week, month, quarter, or year.
- Lending Profile Benchmarking: This enables clients to compare characteristics of their loan production by charting loan-level parameters such as FICO, LTV, loan amount, property type, occupancy, loan type, and loan purpose against the overall market.
- Pricing Strategies Benchmarking: It provides a market comparison for a variety of secondary marketing metrics that impact profitability. Through this capability, clients can compare margins, concessions, price, and note rate to the market, and filter by business channel, institution type, state, MSA, and more.
“The Optimal Blue Marketplace Platform has supported the daily activity of mortgage buyers and sellers for close to two decades,” explained Scott Happ, CEO of Optimal Blue. “This has generated an incredible amount of transactional data that uniquely positions Optimal Blue to achieve an entirely new scope of market transparency and competitive insight.”
Competitive Analytics joins Optimal Blue’s suite of business intelligence offerings including the Optimal Blue Mortgage Market Indices ™ (OBMMI ™ ) published earlier this year, as well as the Enterprise Analytics solution which provides Optimal Blue clients with compelling visualizations that illustrate highly granular data on their own operation.