Real-Time Marketing Analytics

Create a real-time marketing analytics framework.

**Business:** ${{BUSINESS}}
**Use Cases:** ${{USE_CASES}}
**Current Capabilities:** ${{CURRENT}}
**Technical Infrastructure:** ${{TECH}}

Generate the framework:

**Real-Time Use Cases:**

**Campaign Monitoring:**
- Live performance tracking
- Anomaly detection
- Budget pacing
- Quick optimization

**Customer Experience:**
- Live website behavior
- Real-time personalization
- Session analysis
- Support triggers

**E-commerce:**
- Live sales monitoring
- Inventory alerts
- Pricing optimization
- Cart abandonment

**Social Media:**
- Live mentions
- Sentiment tracking
- Crisis detection
- Trending topics

**Real-Time Metrics:**

**Traffic/Engagement:**
- Active users
- Page views/minute
- Bounce rate
- Time on site

**Conversion:**
- Conversion rate
- Revenue/hour
- Cart additions
- Checkout progress

**Campaign:**
- Impressions
- Clicks
- Spend pacing
- ROAS

**Technical Requirements:**

**Data Collection:**
- Streaming data
- Event tracking
- API integrations
- Tag management

**Processing:**
- Stream processing
- Real-time aggregation
- Low latency
- Scalability

**Visualization:**
- Live dashboards
- Alerting system
- Mobile access
- Drill-down capability

**Architecture:**
- Data pipeline
- Processing layer
- Storage
- Visualization

**Implementation:**

**Dashboard Design:**
- Key metrics selection
- Visualization types
- Update frequency
- Alert thresholds

**Alert System:**
- Alert types
- Threshold setting
- Notification channels
- Escalation rules

**Action Framework:**
- Automated responses
- Manual intervention
- Decision trees
- Playbooks

**Best Practices:**

**Metric Selection:**
- Actionable metrics
- Leading indicators
- Threshold relevance
- Noise reduction

**Dashboard Design:**
- Information hierarchy
- Visual clarity
- Context provision
- Mobile optimization

**Alert Management:**
- Alert fatigue prevention
- Priority levels
- Response SLAs
- Continuous refinement