Catch revenue issues in 2 minutes
Keelo's anomaly detection monitors 50+ metrics across all your data sources 24/7. Using ensemble ML models with 96% accuracy, it catches revenue drops, traffic anomalies, and spend spikes within 2 minutes -- not days. Cross-source correlation finds root causes dashboards miss.
Revenue Drop Detected
Daily revenue 35% below expected. Checkout conversion dropped from 3.2% to 1.8% -- correlated with deployment at 2:14 PM.
Unusual Traffic Pattern
Mobile traffic up 150% from Brazil. Not associated with any active campaign -- possible bot activity.
Ad Spend Spike Detected
Meta ad spend increased 40% vs. yesterday. Campaign "Summer Sale" budget auto-increased by Meta.
Refund Rate Anomaly
Refund rate for Product X jumped to 12% (normally 3%). 8 refund requests cite "wrong color received."
How It Works
Ensemble ML for 96% accuracy
Three detection methods work together for the highest accuracy and lowest false positives. Unlike single-method tools, Keelo's ensemble approach catches anomalies that any individual method would miss.
Z-Score Analysis
Statistical deviation from the mean identifies outliers instantly
IQR Method
Interquartile range detects values outside normal distribution
Isolation Forest
ML algorithm isolates anomalies in high-dimensional cross-source data
Ensemble Model
All 3 methods combined for highest confidence and lowest false positives
50+ metrics monitored continuously
Every important metric across revenue, traffic, marketing, and customer health is watched 24/7. Unlike manual monitoring or weekly reports, Keelo catches issues the moment they happen -- reducing mean time to detection by 90%.
Revenue
- GMV
- AOV
- Conversion Rate
- Cart Size
Traffic
- Sessions
- Page Views
- Bounce Rate
- Time on Site
Marketing
- ROAS
- CPC
- CTR
- CAC
Customer
- Churn Rate
- LTV
- Repeat Rate
- NPS
Stop losing revenue to undetected issues
Start monitoring your data today. Keelo detects anomalies in under 2 minutes with 96% accuracy -- no setup calls required.