Collections Strategy Optimizer

Methodology

Step 1 — Delinquent Portfolio Segmentation

Segment the delinquent inventory into actionable treatment groups:

• Delinquency stage: Early (1–29 DPD), Mid (30–59 DPD), Late (60–89 DPD), Severe (90+ DPD), Charge-off
• Balance tier: Micro (<$1K), Small ($1K–$10K), Medium ($10K–$50K), Large (>$50K)
• Collectability score: Model-derived probability of curing within 90 days
  • High collectability (>60%): Self-cure likely, light touch
  • Medium collectability (30–60%): Responsive to contact, standard treatment
  • Low collectability (<30%): Intensive treatment or agency placement candidate
• Behavioral segment: First-time delinquent, chronic delinquent, broken-promise, skipped, hardship
• Contact accessibility: Right-party contact rate, phone/email validity, channel preference

Step 2 — Roll Rate Analysis and Intervention Timing

Analyze historical roll rates to identify optimal intervention points:

• Calculate monthly roll rates: Current → 30 → 60 → 90 → charge-off
• Identify the critical intervention window: the delinquency stage with the highest marginal impact of contact on cure rate
• Compute self-cure rates by stage and segment (typically 60–70% of 30 DPD accounts self-cure)
• Calculate the net roll rate (gross rolls minus cures) for each stage transition
• Determine the point of diminishing returns: stage beyond which incremental contact investment yields insufficient recovery

Step 3 — Channel Optimization

Evaluate and optimize the contact channel mix:

Optimize channel selection by segment:

• Early stage + high collectability → Digital self-service + SMS reminder
• Early stage + medium collectability → Automated call + email + SMS sequence
• Mid stage + any collectability → Live collector call with digital follow-up
• Late stage + low collectability → Intensive multi-channel blitz or agency placement

Step 4 — Treatment Waterfall Design

Build a sequenced treatment waterfall for each segment:

Day 1–5:   Automated reminder (SMS + email)
Day 6–10:  IVR outbound call + digital portal notification
Day 11–15: Live collector call attempt (3 attempts across different times)
Day 16–20: Right-party contact letter + supervisor escalation
Day 21–25: Hardship assessment offer + payment plan proposal
Day 26–30: Final demand notice + agency placement evaluation

Define escalation triggers, attempt limits per channel, contact frequency caps (Reg F compliance: 7 calls per 7 days per account), and time-of-day windows (8am–9pm borrower local time).

Step 5 — Collector Workforce Optimization

Allocate collector resources for maximum recovery per labor hour:

• Skill-based routing: Match collector skill level to account complexity
  • Junior: Early-stage, high-collectability accounts
  • Senior: Mid/late-stage, negotiation-intensive accounts
  • Specialist: Hardship, bankruptcy, deceased, litigation
• Capacity modeling: Calculate accounts-per-collector ratio by stage and complexity
• Performance scoring: Rank collectors by recovery-per-hour, promise-to-pay conversion, and payment-to-promise ratio
• Queue prioritization: Score-order accounts within each collector's queue by expected recovery value (balance × collectability score)

Step 6 — Third-Party Agency Management

Optimize external agency placements:

• Placement timing: Determine optimal DPD for agency referral (typically 90–120 DPD for primary, 180+ for secondary)
• Agency scoring: Rank agencies by net recovery rate (gross recovery minus fees), complaint rate, and compliance score
• Allocation strategy: Split placements across top-performing agencies with holdback for champion/challenger testing
• Performance benchmarking: Compare agency-vs-agency and agency-vs-internal recovery on equivalent populations
• Fee optimization: Negotiate contingency fee tiers based on age of debt and balance size

Step 7 — Measurement Framework and Continuous Improvement

Establish metrics for ongoing strategy optimization:

• Primary KPIs: Recovery rate, cost-to-collect ratio, cure rate by stage, net loss rate
• Efficiency KPIs: Right-party contact rate, promise-to-pay rate, payment-to-promise rate, calls-per-recovery
• Compliance KPIs: Complaint rate, CFPB complaint volume, Reg F contact limit adherence, TCPA consent rate
• Champion/challenger testing: Continuously test treatment variations with proper randomization, minimum sample sizes, and statistical significance requirements (p < 0.05, 4-week minimum run)

Output Specification

## Collections Strategy Optimization Report — [Period]

### Portfolio Summary
| Stage | Accounts | Balance ($M) | Avg Collectability | Cure Rate | Roll Rate |
|-------|----------|-------------|-------------------|-----------|-----------|
| 1–29 DPD | X,XXX | $XX | XX% | XX% | XX% |
| 30–59 DPD | X,XXX | $XX | XX% | XX% | XX% |
| 60–89 DPD | XXX | $XX | XX% | XX% | XX% |
| 90+ DPD | XXX | $XX | XX% | XX% | XX% |

### Channel Effectiveness
| Channel | Volume | RPC Rate | Promise Rate | Payment Rate | Cost/$ Recovered |
|---------|--------|----------|-------------|-------------|-----------------|
| [Channel] | X,XXX | XX% | XX% | XX% | $X.XX |

### Recommended Treatment Changes
1. [Change]: Expected impact [+X% recovery / -$X cost]
2. [Change]: Expected impact [+X% recovery / -$X cost]

### Agency Performance
| Agency | Placements | Gross Recovery | Net Recovery | Complaints | Rank |
|--------|-----------|---------------|-------------|------------|------|
| [Agency] | X,XXX | XX% | XX% | X.X‰ | [1–N] |

### Active Champion/Challenger Tests
| Test | Hypothesis | Status | Preliminary Result |
|------|-----------|--------|--------------------|
| [Test] | [Hypothesis] | [Running/Complete] | [Result or N/A] |

Analysis Framework

Apply the SCRA framework:

• Segmentation — Divide inventory into actionable treatment groups
• Channel — Optimize contact channels for each segment by cost-effectiveness
• Resource — Allocate collector capacity and agency placements for maximum yield
• Analytics — Measure, test, and continuously improve strategy performance

Examples

Example 1 — Early Stage Digital Shift

Finding: 72% of 1–15 DPD accounts with high collectability scores self-cure without live contact. Current strategy calls all accounts at day 5. Recommendation: Replace day-5 call with SMS + email reminder for high-collectability segment, reserve live calls for medium/low collectability. Expected impact: -35% call volume, -$180K annual cost, +0.2pp cure rate (fewer right-party contact failures disrupting self-cure behavior).

Example 2 — Agency Reallocation

Finding: Agency B recovers 18.2% net on 90–120 DPD accounts vs. Agency A at 12.4% on equivalent populations. Agency A has operated under a legacy allocation of 60% of placements. Recommendation: Shift to 70% Agency B / 30% Agency A allocation. Project incremental recovery of $2.1M annually on current placement volumes. Maintain 30% Agency A allocation for competitive benchmarking.

Guidelines

• Comply with FDCPA, Reg F (contact frequency limits), TCPA (consent for auto-dialed calls/texts), and state-specific collection laws
• Cap outbound call attempts at 7 per 7-day period per Reg F safe harbor
• Maintain TCPA express consent records for all automated contact channels
• Document all treatment strategy changes with effective dates and rationale
• Use proper randomization and control groups for champion/challenger testing
• Never combine champion/challenger results across materially different segments
• Review agency compliance certifications (SOC 2, E&O insurance, licensing) annually
• Exclude accounts in active bankruptcy, litigation hold, SCRA protection, or disaster forbearance from standard treatment

Validation Checklist

• Segmentation is based on objective, validated scoring models
• Roll rate analysis uses at least 12 months of historical data
• Channel cost calculations include fully loaded costs (labor, technology, postage)
• Treatment waterfall respects all applicable contact frequency limits
• Collector allocation model accounts for availability, skill level, and language capability
• Agency performance comparison uses equivalent populations (matched placement characteristics)
• Champion/challenger tests have adequate sample sizes for statistical significance
• Compliance KPIs are monitored in real-time with automated breach alerts
• SCRA, bankruptcy, and disaster-protected accounts are excluded from outbound contact
• Strategy changes are version-controlled with rollback capability