Cracking the Code of Smarter Debt Collection
Surging household debt and delinquency rates are exposing inefficiencies
in the debt collection industry. First-party creditors and third-party agencies
are grappling with rising costs driven by manual processes, tighter regulations
and outdated data and strategies. These challenges demand that the industry adopt
sophisticated data-driven methods to enhance efficiency and maintain
competitiveness in an ever-changing financial environment.
Three key factors drive rising costs: employee expenses, regulatory compliance and reliance on manual processes. Regulatory scrutiny intensifies these pressures, especially for third-party collectors facing stricter disclosure and contact rules. Outdated communication strategies and operational inefficiencies further increase collection costs.
The collections industry is adopting smarter, data-driven strategies and changing consumer engagement approaches to remain competitive and compliant, according to the LexisNexis Risk Solutions State of Collections Study.
Both groups aim to invest more in data, though their priorities differ. First-party collectors focus on using non-traditional credit data to enhance scoring, segmentation and account prioritization. Third-party agencies prioritize analyzing this data to improve litigation strategies and recovery outcomes.
Despite differences in priorities, original creditors and third-party agencies face the same market trends and serve the same consumer base. Both groups see the value in expanding data capabilities, incorporating alternative data and strengthening analytics.
Alternative data, such as liens and judgments,
asset information and professional licenses, combined with advanced analytics
like machine learning and predictive modeling, provide organizations with
unique in...