Mortgage banks and lenders are faced with the challenge of meeting the borrower expectation of a personalized mortgage experience while improving the LO efficiency. Marketing automation using Salesforce Pardot provide mortgage banks with effective ways to improve lead generation, grow borrower relationships and scale the business. SalesForce Pardot is software as a service (SaaS) marketing automation…
Seamless and personalized borrower experience is as important as the loan products and services offered by a mortgage bank or lender. Salesforce Marketing cloud powered by AI based Einstein, enabled with ease of Trailhead and with features to bring in Enterprise data, can help mortgage banks and lenders to build relationship with the tech empowered…
While basic versions of analytic solutions focus on building data repositories and reporting, advanced predictive and prescriptive analytics can generate powerful insights. Prescriptive Analytics which use models to specify optimal behaviors and actions can be embedded as a part of real-time decision making process in the mortgage banking domain. Need for Prescriptive Analytics in Mortgage…
A robust and successful Data Analytics functionality encompasses more than a stack of technologies and is incomplete without getting incorporated into all key decisions across origination, sales, marketing, borrower experience and other core functions. So it is necessary to integrate Data Analytics into mortgage banking to aid the decision making process. How to integrate Data…
With rise in origination costs and lead generation costs, Mortgage banks need to optimize their digital marketing efforts to close more loans without increasing their marketing spend. Personalization of digital marketing efforts can go a long way in increasing the marketing efficiency and effectiveness of lead generation techniques. Benefits of personalization in lead generation Personalization…
Mortgage banks and lenders need to respond to challenges such as rising origination and operating costs, complex regulations and growing borrower expectations to remain competitive in the mortgage industry. Essential Data Models listed here can help mortgage banking decision makers overcome these challenges to offer loan products while managing risks and complying with regulations. Business…
Mortgage banks have with them a large database of information secured via loan origination platforms, application forms, POS platforms and other website features like contact forms, search patterns. Mortgage Banks by employing the right technology can leverage these existing data sets to gain meaningful insights about borrower behavior, buying patterns, trends, loan product performance and…
Frequent changes in regulatory norms and compliance legislation, rising origination costs, inflated infrastructure costs are creating disruption in the mortgage industry, and the implications of that disruption are having significant financial consequences. Technology is the key in helping mortgage banks to reduce the costs without compromising the quality of service.Here are some of the ways…
Borrower expectations have changed drastically in this mobile era with the borrowers becoming more curious, impatient and demanding. So it is important for Mortgage lenders to keep track off the right marketing metrics to accurately measure the ROI of mortgage marketing campaigns. Need for tracking the right metrics Mortgage lenders need to track the right…
Mortgage process still remains largely manual with multi-page documents, error-prone and inefficient methodologies which impact the customer experience. Robotic Process Automation (RPA) is the technological solution that can help automate the processes in mortgage industry end to end. Advantages of using RPA in Mortgage Industry Use cases for RPA in Mortgage Industry Challenges in implementing…