Global Context
Growth Manager Training
Your role: Deliver high-quality, AI-powered campaigns for clients while maximizing efficiency.
Core Capabilities
| Capability | What It Does | Time Saved |
|---|---|---|
| Intelligence Workflow | 11 automated data points from website analysis | 4-6 hours/client |
| Global Context (21 docs) | Foundational strategy documents | 8-12 hours/client |
| Research Reports (6) | Market research and competitive intel | 6-8 hours/client |
| Campaign Ideas AI | Generate 5-10 campaign concepts instantly | 2-3 hours/campaign |
| Campaign Dashboard | AI readiness scoring and gap analysis | 1-2 hours/campaign |
Week 1 Workflow: New Client Onboarding
Day 0: Intelligence Foundation
Active time: 30 minutes
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Run Intelligence Workflow
Navigate to Workflows tab, enter client’s primary website URL, and click Start Intelligence. Monitor progress via workflow status indicators.
Expected output: Company Profile, 11 intelligence data points
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Review Company Profile
Go to Settings → Company Profile, verify extracted information is accurate, edit any incorrect fields, and click Approve to unlock downstream workflows.
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Trigger Context Generation
Navigate to Context & Grounding, click Generate to start 21-document creation. Generation runs in background (~20-30 minutes total).
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Trigger Research Reports
Navigate to Research, click Generate All Reports. 6 reports generate in parallel.
Day 1: Strategy Development
Active time: 1 hour
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Review Generated Personas
Go to Audiences → Personas tab. Review auto-generated buyer personas, edit names, descriptions, or pain points as needed. Ensure 3-5 personas cover the buying committee.
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Review ICPs
Go to Audiences → ICPs tab. Check fit_score, opportunity_score, readiness_score. Adjust firmographic criteria if needed.
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Generate Campaign Ideas
Navigate to Campaigns → Ideas tab, click Generate Ideas. 5-10 AI-generated concepts appear in 2-3 minutes. Review each idea’s core_concept and primary_hook.
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Push Idea to Campaign
Select best idea from grid, click Push to Campaign, enter campaign name. Document generation begins automatically (10+ docs).
Day 2: Client Delivery
Active time: 45 minutes
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Check Campaign Dashboard
Open the campaign, click Dashboard tab. Review Readiness Score (target: 75+) and check risk_assessment for blockers.
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Refine Campaign Documents
Click any document to open Canvas editor. Make client-specific refinements. Use Copilot to suggest improvements: “Make this more conversational”
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Export for Client
Use Export function for client-facing deliverables. Include Campaign Passport (summary PDF). Schedule client walkthrough.
Daily Execution Pattern
Morning (30 min)├── Check in-progress campaign generation status├── Review any failed workflows (retry as needed)└── Prioritize client work based on deadlines
Midday (1-2 hours)├── Active content refinement using Canvas├── Copilot queries for messaging improvements└── Client communications
End of Day (15 min)├── Queue overnight generation tasks├── Verify document health scores└── Update client status notesCopilot Commands for Growth Managers
Use natural language with the Copilot for rapid execution:
| Task | Example Command |
|---|---|
| Status check | ”What’s the status of GlobalTech’s campaign?” |
| Content edit | ”Rewrite this headline to focus on ROI” |
| Research query | ”What are GlobalTech’s main competitors?” |
| Generate ideas | ”Give me 3 more campaign ideas for enterprise SaaS” |
| Document search | ”Find our messaging house document” |
Key Metrics to Track
Campaign Health
| Metric | Target | Description |
|---|---|---|
| Readiness Score | 75+ | Overall campaign quality (0-100) |
| Documents Complete | 31+ | X/21 context docs + Y/10 campaign docs |
| Launch Readiness | ”ready" | "ready” / “needs_work” / “not_ready” |
Document Quality
| Metric | Description |
|---|---|
| Health Score | good / warning / poor |
| Usage Count | How often referenced in generation |
| Citation Count | Copilot references |
Time Efficiency
- Generation Time: Track generation_started_at to completion
- Active Time vs. AI Time: Measure your hands-on time vs. automated
Troubleshooting
| Issue | Solution |
|---|---|
| Intelligence workflow stuck | Check company profile is approved; retry workflow |
| Context docs show warnings | Review low health_score docs; update source content |
| Campaign generation incomplete | Verify all 21 context docs exist; check Celery worker status |
| Low readiness score | Review risk_assessment; address weak proof_analysis |
Best Practices
- Batch client onboarding — Run intelligence for multiple clients simultaneously
- Quality over speed — Spend time on Company Profile accuracy
- Use Canvas editing — AI-generated content is a starting point, not final
- Monitor health scores — Fix “warning” documents before they cascade issues
- Leverage Copilot — Natural language is faster than clicking through UI