#analytics

Implement GA4 tracking plan. Setup: 1. Configure improved measurement events. 2. Create custom dimensions and metrics. 3. Set up conversion events with value assignment. 4. Implement User-ID for cross-device tracking. 5. Create exploration reports (funnel, path analysis). 6. Link with Google Ads and BigQuery. 7. Enable data retention settings. 8. Debug with Tag Assistant. Include consent mode v2 implementation.

Build production churn prediction system. Pipeline: 1. Perform exploratory data analysis and visualization. 2. Engineer features (RFM, engagement scores, usage patterns). 3. Handle class imbalance with SMOTE or class weights. 4. Train multiple models (XGBoost, Random Forest, Neural Network). 5. Implement cross-validation and hyperparameter tuning. 6. Create SHAP values for model interpretability. 7. Build prediction API with FastAPI. 8. Set up monitoring for model drift. Include feature importance analysis and business impact metrics.

Create a statistical analysis tool for A/B test results. Features: 1. Calculate conversion rate for Control vs Variant. 2. Compute p-value using two-proportion z-test. 3. Determine statistical significance at 95% confidence level. 4. Calculate required sample size for desired power (80%). 5. Visualize confidence intervals with error bars. Include interpretation guidelines for non-technical stakeholders.

Create comprehensive financial forecasting system. Components: 1. Build three-statement model (P&L, Balance Sheet, Cash Flow). 2. Implement driver-based forecasting with key assumptions. 3. Create best-case, base-case, and worst-case scenarios. 4. Add sensitivity analysis for critical variables. 5. Include variance analysis comparing actuals vs forecast. 6. Build executive dashboard with KPIs and trends. 7. Implement rolling forecasts with monthly updates. 8. Add Monte Carlo simulation for risk assessment. Use Excel with VBA or Python with Pandas.

Build a pixel-perfect replica of the Vercel Analytics dashboard. Focus on the 'Web Vitals' section. Use a minimalist grayscale palette with blue accents. Include: 1. Real-time visitor counter with pulse animation. 2. Geography heat map (placeholder). 3. Source/Referral table with clean borders. 4. Inter font family for a premium look. 5. Next.js Link prefetching for sub-pages.

Analyze user retention using cohort analysis. Deliverables: 1. Cohort table showing retention % by signup month. 2. Heatmap visualization with color gradient (green=high, red=low). 3. Retention curves comparing different cohorts. 4. Calculate Day 1, Day 7, Day 30 retention rates. 5. Identify trends and anomalies with statistical annotations. Use Python (pandas, seaborn) or SQL + BI tool. Include actionable insights for product team.

Design a comprehensive event tracking plan. Framework: 1. Define key user actions (signup, feature use, purchase). 2. Create event taxonomy (object-action naming). 3. Specify event properties (user ID, timestamp, context). 4. Map events to product metrics. 5. Document in tracking plan spreadsheet. 6. Implement with analytics SDK (Segment, Mixpanel). 7. QA and validate data accuracy. Include user properties for segmentation. Set up funnels and cohorts. Review and update quarterly as product evolves.

Create a custom PostHog-style funnel chart. Requirements: 1. Multi-step funnel (e.g., Landed -> Signed Up -> Paid). 2. Percentage drop-off calculations for each step. 3. Hover effects showing exact visitor counts. 4. Toggle to filter by cohort (e.g., 'Internal', 'External'). 5. Responsive SVG implementation using D3.js or Tremor.

Build a comprehensive product metrics dashboard. Key metrics: 1. Acquisition (signups, activation rate). 2. Engagement (DAU/MAU, feature adoption). 3. Retention (cohort analysis, churn rate). 4. Revenue (MRR, ARPU, LTV). 5. Referral (viral coefficient, NPS). Use AARRR (Pirate Metrics) framework. Create separate views for different stakeholders. Include trend lines and targets. Set up automated alerts for anomalies. Use tools like Mixpanel, Amplitude, or custom SQL dashboards.

Track key SaaS metrics. Core metrics: 1. MRR/ARR (monthly/annual recurring revenue). 2. Growth rate (MoM, YoY). 3. CAC and LTV. 4. Churn rate (customer and revenue). 5. NRR (net revenue retention). 6. ACV (average contract value). 7. Expansion revenue. 8. Cash runway. Use tools like ChartMogul or build custom. Monitor daily. Segment by plan, channel, cohort. Share with team regularly.