Rent-A-Center
Enterprise VoC with closed-loop follow-up and frontline accountability
NPS +54%
Customer growth +19%
Multi-year rollout
Net EBITDA Impact
€2.1M
Range: €0.5M – €4.5M
GP Uplift
€3.6M
Cost: €1.5M
Implementation
16 mo
5 phases
Confidence in ROI
62%
Rises after Phase 1 data audit
The Problem
Public evidence suggests partial VoC maturity: strong aggregate reviews (4.3/5 Autohero, 4.6/5 WKDA), but no visible cross-journey owner/SLA taxonomy and no public causal attribution stack.
The Frontier Solution
Always-on omnichannel VoC ingestion with LLM-assisted extraction, owner/SLA action queues, and closed-loop orchestration into CRM/ticketing/product backlogs.
The Value
€3.6M gross profit uplift after €1.5M program cost.
Maturity Position
Industry peers using similar frontier methods
Rent-A-Center
Enterprise VoC with closed-loop follow-up and frontline accountability
Multi-year rollout
Fidelity International
Voice of Client program with detractor loop closure
Multi-year rollout
Sunrise Communications
Closed-loop service redesign and VoC-driven operations
12+ months
Incremental gross profit from additional units
Recurring customer pain points detected late (delivery delays, claims friction)
Always-on feedback ingestion with automated priority routing
KPI delta: Conversion rate +0.25%, cancellation rate reduction
Gross profit leakage recovery (0.80% of GP)
Signals fragmented across surveys, contact center, and public reviews
Unified signal layer with LLM-assisted root-cause extraction
KPI delta: Repeat-contact rate down, handling time reduced
Operating cost offset from reduced rework
No strict owner/SLA loop for quality remediation
Owner-level SLA queues with escalation control and financial attribution
KPI delta: Time-to-close reduced, recurrence rate down
Calculation basis: 2020-baseline calculation: 457k units, €756 GPU. Unit lift 0.25% + GP leakage recovery 0.80%. 2025-method on same baseline yields €6.51M EBITDA.
16 months · 5 phases
Feedback signal unification and data audit
3 months · Data Platform
LLM-assisted categorization and topic extraction
3 months · Applied AI
Owner routing, SLA queues, and escalation
4 months · Operations
Causal attribution and holdout measurement
3 months · Applied AI
Governance cadence and P&L integration
3 months · Finance / Ops
Unify all feedback signals (surveys, calls, chats, reviews, claims) into a single event stream
Deploy LLM-assisted topic and intent extraction replacing manual coding
Build owner-level weekly action queues with SLA enforcement
Implement holdout-tested financial attribution to conversion, claims, returns, and GPU
Establish weekly governance cadence with direct P&L accountability