MBT Analytics comprises a bespoke data-driven interactive dashboard which aims to improve lenders’ understanding of their competitors and benchmark their own position.
It also allows them to view market trends over time, access customer sub-segments and run an unlimited number of specific cases through the platform, all using live data from MBT Affordability.
Launched in early 2019 MBT Affordability provides brokers with access to an ‘easy to use’ eligibility calculator based on affordability and criteria for more than 40 residential and 65 buy-to-let mortgage lenders.
It has surpassed 10 million searches to date, carrying out research on mortgage cases worth over £80 billion and it also scooped an award for the Best Use of Technology at the Mortgage Finance Gazette Awards 2021.
In September last year, the MBT Affordability Index was launched to provide a regular data-driven profile of the mortgage affordability landscape.
Tanya Toumadj, CEO at Mortgage Broker Tools, said: “MBT Affordability has become an invaluable tool for brokers to carry out comprehensive criteria-driven affordability research as part of their advice process and we have now processed more than 10 million searches through the platform.
“This provides a huge amount of rich data that lenders can use to better understand and adjust their position in the market, just as they might do with rate or criteria. MBT Analytics provides a user-friendly window onto that data, empowering lenders to make smarter, more responsive decisions.
“With MBT Analytics, a lender can understand and verify its strengths and gain insights into the impact of making changes to its proposition.
“So, for example, how many times does it appear in the top five or 10 affordability results for a specific customer segment, what impact will changing its LTV criteria have on its potential business volumes and what opportunities are there to improve its offering to better match customer demand?
“MBT Analytics takes away the guesswork and enables lenders to make decisions based on real-time data.”
