

How it's done today
Today, this effort requires a very manual lift with too many barriers to intervening on behalf of your borrower-customer thoughtfully. Workout solutions and reporting back to the investors are tedious, if not near-impossible processes lacking data-driven, digital engagement tools.

Bridge the gaps in how it’s done today with timely outreach
Data-driven insights, delivered through EarnUp’s GetAhead Dashboard, can signal ahead of potential issues, inform on when to engage with a borrower on potential workout opportunities, and flag when a portfolio is at risk.

Minimize servicing costs
- Reduce labor costs through better prioritization of borrower outreach, digitized data collection & communications
- Digital payments may reduce costs associated with paper payment solutions
- Reducing delinquency saves money

Expand revenue channels
- Access to borrower portfolio detail provides robust insights for investor reporting
- Increased scalability and efficiency of servicing operations (ratio of loans: personnel)
- Automated payments platform can mitigate the risk of costly missed payments and save a borrower from the fees associated with late payments

Retention, cross-sell
- Increase recapture and cross-sale opportunities with regular borrower-level data
- Mitigate customer delinquencies
- Forecast potential risk and identify prevention strategies

Self-service portal
- Visibility into debits and payments status
- Proactive, data-driven communications
- Advanced real-time customer support (most common q’s, loss mitigation, etc.)

Benefits to your customer
- Increased visibility and manageability of debts
- Borrower control provided with a self-service portal
- Flexible scheduling to make it easier for customers to control their cash flow and make payments on-time
Learn more

We're looking forward to getting in touch with you about EarnUp Enterprise Solutions.
Existing EarnUp customer?
To access your account or for support, visit support.EarnUp.com
All images are used for illustrative purposes only and do not represent actual customer data.