Analytics
Analytics Stack
Primary Tool
- Umami: Privacy-friendly, open-source analytics platform
Analytics Architecture
Key Metrics
User Engagement
- Page Views: Content consumption patterns
- Session Duration: User engagement time
- Bounce Rate: Single-page session percentage
Platform Usage
- Search Queries: Search behavior analysis
- Poster Views: Content access patterns
- Submission Activity: User contribution metrics
- Feature Usage: Platform feature adoption
Performance Metrics
- Page Load Times: User experience metrics
- API Response Times: Backend performance
- Error Rates: System reliability metrics
Implementation
Frontend Analytics
javascript
// Example: Frontend analytics tracking
import { trackEvent } from "@/utils/analytics";
// Track user interactions
export function trackPosterSearch(query, resultsCount) {
trackEvent("poster_search", {
query: query,
results_count: resultsCount,
search_type: "text",
});
}
// Track page views
export function trackPageView(page, metadata = {}) {
trackEvent("page_view", {
page: page,
...metadata,
});
}
// Track user actions
export function trackUserAction(action, context = {}) {
trackEvent("user_action", {
action: action,
...context,
});
}Backend Analytics
typescript
// Example: Backend analytics tracking
import { analytics } from "@/utils/analytics";
export default defineEventHandler(async (event) => {
const startTime = Date.now();
try {
const result = await processRequest(event);
// Track successful API calls
analytics.track("api_success", {
endpoint: event.url,
method: event.method,
response_time: Date.now() - startTime,
user_id: getUserId(event),
});
return result;
} catch (error) {
// Track API errors
analytics.track("api_error", {
endpoint: event.url,
method: event.method,
error: error.message,
response_time: Date.now() - startTime,
user_id: getUserId(event),
});
throw error;
}
});Data Collection
Event Tracking
- Page Navigation: Page view and navigation patterns
- Search Behavior: Search queries and result interactions
- Content Engagement: Poster view and download patterns
Compliance and Ethics
Data Ethics
- Transparency: Clear data collection practices
- Data Minimization: Collect only necessary data
- Purpose Limitation: Use data only for stated purposes
Regulatory Compliance
- GDPR: European data protection compliance
- CCPA: California privacy law compliance
- COPPA: Children's privacy protection