Analytics & Reporting
Complete visibility into dunning performance with actionable insights and predictive analytics
Analytics & Reporting
Understanding payment recovery performance is essential for optimizing strategies and maximizing revenue recovery. GetPaidHQ provides comprehensive analytics that give complete visibility into every aspect of dunning campaign effectiveness.
Dashboard Overview
Recovery Performance
Track recovery rates, success percentages, and revenue impact across all campaigns
Customer Insights
Analyze customer behavior patterns, response rates, and recovery likelihood
Channel Effectiveness
Compare email, SMS, and in-app notification performance metrics
Predictive Analytics
AI-powered forecasting and individual customer recovery probability
Key Performance Metrics
Recovery Rate Analytics
Overall Recovery Performance
Primary Metrics:
- Total Recovery Rate: 45-60% (vs 15-25% industry average)
- Revenue Recovered: $XXX,XXX monthly
- Customer Retention: 85% of recovered customers remain active
- Time to Recovery: Average 8.5 days
Trend Analysis:
- Month-over-month improvements
- Seasonal pattern identification
- Campaign effectiveness evolution
- Benchmark comparisons
Recovery by Failure Type
Technical Failures:
- Recovery Rate: 80-90%
- Average Resolution Time: 2.3 hours
- Customer Communication Required: 10%
- Cost per Recovery: $0.15
Customer Issues:
- Recovery Rate: 40-50%
- Average Resolution Time: 12.8 days
- Response Rate: 65%
- Cost per Recovery: $2.50
Bank Declines:
- Recovery Rate: 25-35%
- Average Resolution Time: 18.5 days
- Alternative Payment Success: 60%
- Cost per Recovery: $4.20
Customer Segment Analysis
High-Value Customers (>$100/month):
- Recovery Rate: 65%
- Extended Grace Period Impact: +15%
- VIP Treatment Response: +25%
- Lifetime Value Preserved: $2,500 average
Standard Customers ($25-100/month):
- Recovery Rate: 45%
- Standard Flow Performance: Baseline
- Multi-channel Effectiveness: +20%
- Lifetime Value Preserved: $600 average
Low-Value Customers (<$25/month):
- Recovery Rate: 35%
- Cost-Optimized Approach: -$0.50 per attempt
- Simplified Flow Success: +10%
- Lifetime Value Preserved: $150 average
Recovery Timeline Analysis
Day 3 Communication:
- Response Rate: 35%
- Recovery Rate: 45%
- Optimal Send Time: 10 AM local
- Best Performing Day: Tuesday
Day 7 Follow-up:
- Response Rate: 25%
- Recovery Rate: 30%
- Urgency Impact: +15%
- Channel Preference: SMS > Email
Day 14 Critical Notice:
- Response Rate: 40%
- Recovery Rate: 60%
- Final Warning Effect: +25%
- Support Ticket Increase: +200%
Channel Performance Analysis
Email Campaign Metrics
Engagement Metrics:
- Open Rate: 68% (vs 25% industry average)
- Click-Through Rate: 22% (vs 3% industry average)
- Conversion Rate: 18%
- Unsubscribe Rate: 0.8%
Optimization Insights:
- Subject line A/B test results
- Send time optimization
- Template performance comparison
- Personalization impact analysis
SMS Campaign Metrics
Delivery & Engagement:
- Delivery Rate: 98%
- Response Rate: 45%
- Conversion Rate: 35%
- Opt-out Rate: 2.1%
Cost Analysis:
- Cost per Message: $0.03
- Cost per Response: $0.07
- Cost per Recovery: $0.20
- ROI per Campaign: 1,250%
In-App Notification Metrics
Visibility & Action:
- View Rate: 85%
- Click-Through Rate: 12%
- Conversion Rate: 8%
- Dismissal Rate: 60%
User Experience Impact:
- Session duration change: -2%
- Feature usage impact: Minimal
- Customer satisfaction: 4.2/5
- Support ticket reduction: -65%
Customer Behavior Analytics
Response Pattern Analysis
Communication Preferences:
High-Value Customers:
- Prefer email (65%)
- Respond within 24 hours (40%)
- Multiple touchpoints needed (avg 2.3)
- Premium support utilization (25%)
Standard Customers:
- Multi-channel approach effective
- Respond within 48 hours (55%)
- Standard touchpoints sufficient (avg 1.8)
- Self-service preference (80%)
Price-Sensitive Customers:
- SMS most effective (70%)
- Delayed response pattern (72+ hours)
- Fewer touchpoints preferred (avg 1.2)
- Cost concerns mentioned (45%)Predictive Analytics
Recovery Likelihood Scoring:
- Customer engagement level: 35% weight
- Payment history: 25% weight
- Response to communications: 20% weight
- Subscription value: 15% weight
- Account age: 5% weight
Risk Indicators:
- Multiple failed payments in 90 days
- Declining usage patterns
- Delayed response to communications
- Recent support complaints
- Payment method age
Revenue Impact Analysis
Direct Revenue Recovery
Monthly Performance:
Total Failed Payments: $125,000
Without Dunning Recovery: $31,250 (25%)
With Smart Dunning Recovery: $75,000 (60%)
Additional Revenue Recovered: $43,750Annual Impact:
- Additional Revenue: $525,000
- Customer Lifetime Value Preserved: $1,575,000
- Churn Reduction: 2.5 percentage points
- Net Revenue Impact: $2,100,000
Cost-Benefit Analysis
Implementation Costs:
- Platform fees: $2,500/month
- Setup and configuration: $5,000 (one-time)
- Training and support: $1,500/month
- Total monthly cost: $4,000
Return on Investment:
- Monthly benefit: $43,750
- Monthly cost: $4,000
- Monthly net benefit: $39,750
- ROI: 994%
- Payback period: 2.2 months
Competitive Benchmarking
Industry Comparison
Recovery Rate Benchmarks:
- Industry Average: 15-25%
- Basic Retry Systems: 20-30%
- GetPaidHQ Smart Dunning: 45-60%
- Performance Advantage: 2-3x better
Operational Efficiency:
- Support ticket reduction: 60-80%
- Manual intervention: 90% reduction
- Processing cost savings: $15,000/month
- Operational efficiency gain: 340%
Real-Time Monitoring
Live Dashboard Features
Real-Time Alerts:
- High-value customer payment failures
- Unusual decline rate spikes
- Campaign performance anomalies
- System health notifications
Performance Monitoring:
- Current recovery rates
- Daily revenue impact
- Campaign effectiveness
- Customer response trends
Automated Reporting
Scheduled Reports:
- Daily performance summaries
- Weekly trend analysis
- Monthly strategic reviews
- Quarterly business impact
Custom Analytics:
- Segment-specific performance
- Campaign comparison analysis
- ROI tracking and forecasting
- Competitive benchmarking updates
Optimization Recommendations
AI-Powered Insights
Automatic Suggestions:
- Optimal communication timing
- Message personalization opportunities
- Channel selection recommendations
- Customer segment refinements
Performance Improvements:
- A/B testing recommendations
- Template optimization suggestions
- Workflow efficiency enhancements
- Cost reduction opportunities
Analytics Impact: Businesses using GetPaidHQ's analytics achieve 25% better recovery rates through continuous optimization and data-driven decision making.