The current economic climate, marked by rising costs, consumer reliance on credit, and economic uncertainty, is leaving many consumers financially vulnerable. This growing fragility is fueling a resurgence in delinquencies and charge-offs, putting new pressure on collection agencies. At the same time, regulatory oversight remains complex and evolving, making compliance a moving target.
As a result, collections leaders face a perfect storm of rising account volumes, unpredictable recovery rates, and thinning margins. Meanwhile, their agents are burning out, leading to high attrition rates, while remote and hybrid work has introduced new challenges for onboarding, training, and performance management.
Hitting your KPIs has never been more difficult. But there is a path forward.
This guide explores the most critical KPIs for collections teams, not just by defining them, but by unpacking the reasons teams may fall short, and how performance enablement strategies powered by AI, personalized coaching, and real-time insights can change the game.
Debt collection organizations aim to maximize revenue and recovery rates by collecting the greatest amount of outstanding debt or receivables over a time period. This is critical for customer retention, as companies will measure the efficacy of agencies in their portfolio against one another. In this section, we will cover some of the most common key performance indicators (KPI) for debt collection.
Collection KPI | Definition |
Right-Party Contact (RPC) | The percentage of calls or contact attempts where the collector successfully reaches the person responsible for the debt, rather than wrong numbers, voicemail, or third parties. |
Promise-to-Pay (PTP) | The percentage of outbound calls by an agent that result in a promise to pay. The higher the rate, the better, as a PTP is an indicator of a successful call. |
Cost per Contact | This KPI indicates the cost of agent-consumer interactions, including calls, SMS, email, etc. |
% of Total Collected (Total Recoveries Paid / Outstanding Debt) | The ratio of debt collected from consumers to overall outstanding debt. |
Total Collections per Agent | A running number or a dollar goal that agents work toward collecting over a set period of time. |
Average Payment Size | This KPI reflects the average size of the payments made. This metric, when applied across agencies, can indicate which organizations negotiate higher payments for a shorter repayment time. |
Productivity Rate | This metric is measured by dividing the total recoveries paid by working hours. |
Dials per Hour | The average number of outbound calls an agent makes per hour. |
Quality Assurance (QA) Score | A high QA score indicates that agents are acting within regulatory compliance against measured processes. |
# of SIFs (Settled in Full) and PIFs (Paid in Full) | A SIF score indicates that an account is settled in full (for a lesser amount than owed) and then closed. PIF indicates that the owed amount is fully recovered. |
Scheduled Adherence | This metric demonstrates whether agents are adhering to their assigned schedules. |
Collections KPIs may seem straightforward on paper, but in practice, they’re anything but easy to achieve. Nearly every metric is influenced by factors that are often outside a team’s control: economic instability, regulatory complexity, and inconsistent consumer behavior. Additionally, a combination of internal and external factors influences collector burnout, which impacts the productivity, regulatory compliance, and success of frontline teams.
For modern collections leaders, the challenge is twofold: how to keep agents or collectors motivated and effective in a tough environment, and how to provide managers with the visibility and tools they need to support their team’s performance in real time.
That’s where performance experience software, powered by AI, comes in. Today’s leading debt collection agencies are closing performance gaps and improving KPI outcomes by:
Here are a few strategies to future-proof your collections teams and help them thrive in the current environment.
🛫 Modernize Pre-Boarding and Onboarding
Engage new hires before Day 1 to reduce ghosting and lay the foundation for success. Personalized onboarding that includes KPI alignment, skill-based pacing, and gamified learning accelerates ramp time and reduces early attrition.
🐣 Nesting: The Transition Phase
Support new hires as they shift from training to live calls. Real-time feedback and AI coaching during the nesting phase help reinforce best practices and boost early confidence.
📚 Continuous Training
Learning doesn’t end after onboarding. With compliance standards, customer expectations, and internal processes always evolving, collectors need ongoing, personalized development. Microlearning embedded in the daily flow keeps skills sharp and aligned with business goals.
🪴 Coaching That Drives Performance
Effective coaching is proactive and personalized. AI-powered performance insights help managers identify emerging trends and intervene early, before small issues become bigger problems. Automated coaching prep and guided workflows ensure managers stay focused on impact.
🔑 Agent Empowerment
When collectors feel ownership over their performance and career path, they stay longer and perform better. Recognition, real-time feedback, development paths, and gamified goals turn daily work into an experience that feels purposeful.
🤝 Team Unity
High-performing teams are more than individuals: they operate with shared goals, mutual accountability, and a sense of belonging. Encouraging collaboration, celebrating collective wins, and fostering friendly competition can amplify performance across the board.
💬 Voice of the Employee
Collectors are on the frontline, and they know what’s working and what’s not. Actively capturing and responding to their feedback enables leaders to identify friction points, learn valuable insights, and make their employees feel heard and supported. Integrating VoE data with performance and engagement trends helps drive smarter decisions and demonstrates a commitment to continuous improvement and employee wellbeing.
The collections industry is at a turning point. The current challenges faced by collections teams require a new level of operational agility, and AI is making it possible.
Centrical’s Agentic AI transforms traditional performance enablement by turning data into intelligent, orchestrated action. Instead of manually sifting through dashboards or reports, team leaders and collectors now receive personalized, real-time support in the flow of work.
Agentic AI in Action
Centrical helps collections teams lift key KPIs like connect rates and PTP and reduce ramp up time and attrition, all without burning out your collectors. With our AI Performance Experience Platform, our clients have achieved the following results:
With the right tools, the right data, and a people-first approach, your team can exceed its recovery targets and stay engaged doing it. Remember: