Displaying "Banking" articles (51)
Consumer Loan Personalization: Why Now
Lenders wanting to maintain their competitive advantage need to be looking for ways to stand out in a crowded marketplace. So then, how do you cut through the noise to reach those buyers trying to find the loan that’s just right for them? The answer - loan personalization - and it’s exactly why personalization has been gaining popularity in the past several years across all consumer lending lines including unsecured personal loans, auto, and mortgage.
Behind the Scenes with Earnix Price-It
The White Paper is intended for banking business and technical leaders who are evaluating ways to vastly improve their pricing strategies and operations. It will assist senior management, pricing groups, analytics teams, and IT in their quest for the best in proven, modern pricing technology.
The Blueprint for an Agile Pricing Operation
This webinar will outline the most immediate steps and resources needed to implement a pricing optimization and personalization solution. We will show you how to identify opportunities for quick wins, while keeping the long-term strategy in mind.
The Power of Pricing Optimization in a Tumultuous Auto Finance Landscape
The perfect storm has arrived in today’s auto finance market. Digitalization, inflation, increasing cost of funds, evolving consumer expectations have created a lot of chaos, while urging technological and strategic shifts across the entire auto finance industry. Adding to these tumultuous times, a wave of car loan defaults is starting to emerge. The solution lays in finding “smart pricing” strategies and the right tools to support them.
Capitalize on Intelligent InsurOps to Combat Inflation
Alternative Deal Structures: Leveraging Advanced Pricing Analytics
Webinar: Alternative Deal Structures: a Winning Strategy for Auto Lenders
Join us for a webinar focusing on best practices for leveraging Alternative Deal Structures (ADS) in auto finance.
Playbook: Best Practices for Risk-Based Pricing in Auto Lending
This playbook describes the challenges caused by existing, “status quo” pricing models while also highlighting how a new analytics-driven approach to risk-based pricing using machine learning can help auto lenders achieve their most critical goals.