obo CLI Showcase

Initializing data collection... ✓ CRM: Connected to Salesforce ✓ Analytics: Connected to Google Analytics ✓ Support: Connected to Zendesk Data collected: ├── Customers: 15,247 records ├── Interactions: 89,432 touchpoints └── Support tickets: 3,289 cases Collection complete. 2.1GB processed.

Running churn analysis... Patterns identified: ├── High-risk segments: 847 customers (23% of base) ├── Churn indicators: 12 key behavioral signals └── Intervention opportunities: 312 immediate actions Risk factors: • Support ticket frequency +340% • Product usage decline -67% • Payment delays +156% Analysis complete.

Generating executive report... KEY FINDINGS: ├── Revenue at risk: $2.3M (18% of ARR) ├── Intervention cost: $89K (retention campaigns) └── Net savings potential: $2.21M EFFICIENCY GAINS: • Automated early warning: 89% accuracy • Response time improvement: 78% faster • Team productivity: +156% capacity Report saved: /reports/exec-summary-2024.pdf

PRIORITY RECOMMENDATIONS: IMMEDIATE (Week 1): ├── Deploy predictive churn model ├── Implement automated alerts └── Train customer success team TACTICAL (Weeks 2-4): ├── Launch retention campaign for high-risk segment ├── Optimize support ticket routing └── Enhance product onboarding flow Expected outcome: 67% churn reduction Implementation effort: 2.3 FTE weeks