Industry-level analytics, rendered live.
These are the exact analyses we build into client platforms — each chart below is a working, interactive example. Hover any point to explore the data.
Revenue Forecasting
Time-series models blend seasonality, trend, and external drivers to project revenue with confidence — so planning is grounded in math, not gut feel. Solid line is actuals; dashed gold is the forecast.
- Seasonality + trend decomposition
- Backtested against historical actuals
- Rolling re-training keeps it current
Cohort Retention
Grouping users by their join period exposes whether the product is getting stickier over time. Diverging cohort curves are an early signal of churn risk or a winning change.
- Weekly retention by signup cohort
- Isolates the impact of product changes
- Feeds churn-prevention models
Conversion Funnel
Every drop-off between stages is money left on the table. Quantifying the funnel tells you exactly where to invest — acquisition, activation, or monetization.
- Stage-by-stage conversion rates
- Pinpoints the biggest leak
- Ties directly to revenue impact
Anomaly Detection
Streaming models learn a normal baseline and flag outliers in real time — catching fraud, outages, and spikes the moment they happen. The gold star marks a detected anomaly.
- Sub-second scoring on live streams
- Adaptive baselines, fewer false alarms
- Alerts wired to your on-call tools
Model Performance
A model is only as good as it stays. We track precision, recall, F1, and AUC in production and retrain before drift erodes accuracy.
- Continuous production monitoring
- Drift detection & auto-retraining
- Transparent, explainable metrics
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