Anomaly detection
Active Reach continuously monitors your key metrics and alerts you when something unusual happens — a sudden drop in delivery rate, an unexpected spike in bounces, or a trend reversal in engagement.
How it works
The platform compares current metric values against your historical baseline. When a metric deviates beyond normal variance, it generates an anomaly alert. The detection adapts to your workspace’s unique patterns — seasonal trends, send schedule, and growth trajectory are all factored in.
What’s monitored
| Metric category | Examples |
|---|---|
| Delivery | Delivery rate, bounce rate, complaint rate per channel |
| Engagement | Open rate, click rate, reply rate |
| Volume | Send volume, event ingestion rate |
| Revenue | Conversion rate, attributed revenue, average order value |
| Infrastructure | API latency, worker queue depth |
Viewing anomalies
Anomalies surface in two places:
- Measure → Insights → Alerts — dedicated alert feed with severity and recommended actions
- Measure → Analytics → Overview — anomaly badges appear on the time-series chart where the deviation occurred
Each anomaly shows:
- What changed — which metric, by how much, over what period
- Severity — critical, warning, or info
- Likely cause — AI-generated hypothesis (e.g., “Provider outage”, “Campaign targeting too broad”, “New segment drift”)
- Recommended action — what to do about it
Configuring alerts
Go to Measure → Insights → Alerts to configure:
- Which metrics to monitor — toggle individual metrics on/off
- Notification channels — email, push, in-app, or Slack webhook
- Frequency — real-time, daily digest, or weekly summary
What’s next
- Insights & recommendations — AI-generated observations
- Analytics overview — workspace-level metrics