Customer Success Story

Transforming Collections: A Case Study of a Long-Term Client Partnership

This case study serves as a testament to the power of a strong and enduring client-service provider partnership. Through strategic global expansion, regulatory expertise, data-driven strategies, and a performance-focused culture, the client and the service provider have consistently achieved outstanding results, setting a benchmark for excellence in the industry.

The Challenge

The primary challenge faced by our client was to efficiently manage collections across diverse geographic regions while maintaining high-quality service. Specifically, they encountered the following hurdles:

  • Diverse Geographical Scope: The client’s operations spanned across the UK, the US, and Canada, necessitating an adaptable and globally-relevant approach to collections.
  • Compliance and Regulation: Ensuring collections practices complied with different national and international regulations presented an ongoing challenge.
  • Revenue Targets: Meeting and surpassing revenue targets consistently was imperative for the client’s financial health and growth.

The Solution

To address these challenges, the client and the service provider worked collaboratively to devise a comprehensive solution. Here’s an overview of key components:

  • Global Footprint: The service provider established two dedicated teams in strategic locations. A team of 48 Full-Time Equivalents (FTE) in Ontario, Canada, was set up to handle first-party collections for the US credit card portfolio. Simultaneously, a team of 33 FTEs in Virginia Beach, USA, was assigned to manage first-party collections for the client’s student loan programs. This global presence ensured coverage across diverse markets.
  • Regulatory Expertise: The service provider invested heavily in compliance and regulatory expertise. This included staying up-to-date with the evolving laws and regulations in the respective regions.
  • Performance-Driven Culture: A performance-driven culture was cultivated within the teams. Virginia Beach consistently earned Tier Bonus 7, showcasing their commitment to excellence.
  • Data-Driven Approach: The teams adopted a data-driven approach, leveraging advanced analytics and technology to enhance collection strategies. This allowed for a more targeted and effective approach to debt recovery.
  • Revenue Maximization: The Canadian team exceeded their highest revenue goals by more than $1 million in 7 of 12 months, demonstrating their ability to consistently deliver outstanding results.
  •  

The Results

The results achieved through this long-term partnership were nothing short of remarkable:

  • #1 Service Partner in the US: In 2011, the service provider was recognized as the top service partner in the US, underscoring their commitment to delivering exceptional service quality.
  • Tier Bonus Consistency: The Virginia Beach team’s consistent attainment of Tier Bonus for 7 out of the last 8 months indicated their exceptional performance and dedication.
  • Pre-Charge-Off Goal Surpassed: For 13 consecutive months, the teams managed to surpass the Pre-Charge-Off goal. Notably, they outperformed the client’s internal team and even outshone new competitors on a monthly basis.
  • Exceeding Revenue Goals: Canada’s exceptional performance in exceeding revenue goals by more than $1 million in 7 of the last 12 months showcased their consistent ability to drive substantial financial gains.

Customer Experience/Care Management

Inbound & Outbound Voice

CX  & Care Programs

Back-Office Functions

Performance Analytics

Flexible Global Staffing

Business Process Outsourcing

Data Input

Document Processing

Verfication & Validation

Exception Processing

QA Monitoring & Reporting

Business Analytics & Modeling

First Party ARM

1st Party Collections

Pre-Charge Off Program Support

Inbound & Outbound

Early Stage / Care Based

Brand Protection

IT Adaptability / Flexibility

third Party Debt Collection

Post Charge-Off

Primary & Secondary

Late-Stage Recovery

Innovative Technology & Approach

Propensity to Pay Analytics