Our research focuses on the five core coverage areas below. We apply our rigorous research methodology to our reports, charts, forecasts, and more to keep our clients at the forefront of key developments and trends before they hit the mainstream.
EMARKETER delivers leading-edge research to clients in a variety of forms, including full-length reports and data visualizations to equip you with actionable takeaways for better business decisions.
New data sets, deeper insights, and flexible data visualizations. In-depth analysis, benchmarks and shorter spotlights on digital trends. Interactive projections with 10k+ metrics on market trends, & consumer behavior. Proprietary data and over 3,000 third-party sources about the most important topics.Industry benchmarks for the most important KPIs in digital marketing, advertising, retail and ecommerce.
Client-only email newsletters with analysis and takeaways from the daily news. Exclusive time with the thought leaders who craft our research.Our goal is to unlock digital opportunities for our clients with the world’s most trusted forecasts, analysis, and benchmarks. Spanning five core coverage areas and dozens of industries, our research on digital transformation is exhaustive.
Learn more about our mission and how EMARKETER came to be. Rigorous proprietary data vetting strips biases and produces superior insights. Take a look into our corporate culture and view our open roles. Speak to a member of our team to learn more about EMARKETER. See our latest press releases, news articles or download our press kit. Key decision-makers share why they find EMARKETER so critical. Reach an engaged audience of decision-makers. Browse our upcoming and past events, recent podcasts, and other featured resources. Tune in to EMARKETER's daily, weekly, and monthly podcasts. Close Menu
Sign up for the EMARKETER Daily Newsletter
Expediting the mortgage loan application and approval process for future homeowners is top of mind for incumbents, who are fighting to retain market share against nonbanks and alternative lending startups.
These new, digital companies are streamlining the traditional process of mortgage loan applications by using automated underwriting to enable more efficient and secure applications and approvals. How much time can automated underwriting save? How are lenders benefitting from underwriting automation? Below, we tackle these questions and take a look at what the future of automated mortgage underwriting may look like.
Automated mortgage underwriting is the process where advanced artificial intelligence (AI) technology electronically undertakes the decision making process for granting mortgage loans by analyzing one’s credit report.
Through robotic process automation (RPA) and machine learning (ML), the underwriting software takes clients’ information, analyzes it, and generates recommended conditions the client needs to meet in order to achieve a loan approval.
Automated underwriting helps mortgage loan providers profit from cost cuts in manual underwriting labor and enhance customer satisfaction due to the software’s efficiency when calculating potential risk.
Additionally, loan origination systems manages the application and issuing process for lenders of various types of loans. The software automates large portions of the loan process for lenders and streamlines the application process for borrowers.
Fannie Mae introduced automated underwriting to the industry when it launched Desktop Underwriter more than 25 years ago.
Then in 2015, Quicken Loans launched Rocket Mortgage — a solution that would completely upend the mortgage underwriting system. Quicken Loans developed a way for clients to submit information directly into their underwiring system, without needing to provide pay stubs or bank statements.
While manual underwriting previously took mortgage lenders days to configure, Rocket Mortgage could analyze an application in about 10 minutes — a huge draw for both lenders and applicants.
But Quicken Loans is not alone in this market by any means, as other mortgage lending companies have adopted and refined their own automated underwriting software.
Automated underwriting systems (AUS) analyze a client’s financial information (such as credit score and income) in addition to the overall value of the property they are looking to purchase (usually determined by an appraiser). From there, the system decides whether or not to approve a customer’s mortgage application or refer them to a manual underwriter.
This way, clients who are approved can move on to the next stage of the mortgage loan process, and only select clients — perhaps those who are new to building credit or have had previous financial troubles — need to meet with a human to complete the underwriting system manually.
Manual mortgage underwriting is impeded by long wait times and branch visits, where applicants have to either physically go to a branch or talk to a loan officer on the phone. Through manual underwriting, financial information provided by the applicant via supporting documents, like pay stubs and tax returns, are analyzed after being confirmed with third parties, such as employers and banks. Additionally, with mortgage loans, both the lender and the applicant need to wait for an appraisal to be scheduled and processed — only further increasing the cycle time.
Thus, automated mortgage underwriting can save applicants and mortgage lending companies money, time, and hassle when determining one’s mortgage insurance eligibility.
Alternative mortgage lending companies that use automated underwriting processes are able to reduce loan processing times and cut interest rates, according to Insider Intelligence’s Online Mortgage Lending Report.
By enabling a fully automated mortgage underwriting process, financial institutions can:
As a result, major banks are looking to unlock the benefits of adopting mortgage lending tech to combat the rising threat from insurtechs and nonbanks; however, they’ll likely hit more roadblocks than their alternative mortgage lending competitors.
Beyond being able to digitize mortgage applications, some banks aren’t ready to automate the underwriting process due to continued fallout from the 2008 financial crisis, which left the door wide open for alternative lenders to grab some of the market share.
And while some major US banks, like Bank of America, JPMorgan, and Wells Fargo, have established digital solutions and automated software, they’ve had to take additional steps in order to do so — like partnering with a fintech.
The Federal Housing Administration (FHA), part of the US Department of Housing, helps potential homeowners more easily obtain a mortgage by insuring their loan. Because the FHA insures the loan, applicants are more likely to be approved for a mortgage and may also be given lower down-payment requirements.
FHA Catalyst is FHA’s information technology modernization initiatve. It catalyzes the loan lifecycle—connecting systems, people, and data to more efficiently and effectively support customers.
With FHA underwriting, clients must meet the criteria laid out by both the Department of Housing and Urban Development (HUD) and the lending company. As with traditional automated mortgage underwriting, FHA automated underwriting can quickly assess an applicant’s financial history and determine whether or not they qualify for an FHA insured loan.
The HUD developed an advanced algorithm, known as The FHA TOTAL (Technology Open To Approved Lenders) Mortgage Scorecard, that evaluates whether or not an applicant is qualified for an FHA insured loan. FHA TOTAL is accessed through an automated underwriting system, and it ensures that FHA loan applicants are evaluated by the same scoring process and enhances FHA’s ability to assess and manage risk.
The FHA TOTAL Mortgage Scorecard is attractive to mortgage lenders because it allows them to easily see if their clients qualify FHA mortgage insurance, thus decreasing their overall risk in providing them a loan.
