Find what you didn't know to look for
Traditional monitoring watches for known problems. Engagor AI scans across dimensions you're not watching — ISP x Device x Geo x Identity — finding correlations buried in the noise. The anomalies that matter most are often the ones you didn't know to look for.
Multi-dimensional pattern analysis. Cross-correlation detection. Proactive discovery.
Beyond single-metric thresholds
Most alerting systems watch individual metrics in isolation. "Bounce rate > 5% -> alert." But the most dangerous problems emerge from combinations — patterns that only appear when you cross-reference ISP with device, or geo with identity. That's where Engagor AI excels.
ISP Dimension
Performance by mailbox provider. Gmail vs Microsoft vs Yahoo patterns. Provider-specific throttling and filtering behaviors.
Device Dimension
Mobile vs desktop vs tablet engagement. Device-specific rendering issues. Platform distribution shifts.
Geographic Dimension
Country-level performance. Regional ISP variations. Timezone-correlated engagement patterns.
Identity Dimension
Per-sender identity health. Stream isolation. Brand and campaign performance comparison.
Where dimensions intersect, insights emerge
The most actionable findings come from combinations. Here's what cross-dimensional analysis reveals that single-metric monitoring would miss.
Gmail + iOS engagement collapse
Open rates normal overall, but Gmail on iOS devices specifically dropped 34%. Indicates Apple Mail Privacy Protection filtering issue — not a sender problem.
Germany underperforming on promo-eu
DE open rate 12.4% vs 21.6% average. Only affects promotional stream, not transactional. Suggests content or timing issue specific to German promotional campaigns.
Microsoft deferrals spike at 2pm UTC
Deferral rate 3x higher between 14:00-16:00 UTC specifically at Microsoft. Indicates throttling during peak sending window.
France mobile engagement surge
FR mobile clicks up 28% while desktop flat. Shift in audience behavior or successful mobile-optimized campaign in French market.
The intersection is where problems hide
Global metrics look fine. But when you slice by ISP × Device × Geography × Identity, the anomalies emerge. That's where Engagor looks.
All other dimension combinations remain within normal baseline. Issue is isolated to this specific intersection.
What Engagor AI looks for
Spike Detection
Sudden increases in bounce, deferral, or complaint rates. Day-over-day comparison catches single-day spikes that period averages would dilute.
Telenet.be 17% bounce (vs 0.9% baseline) — 18.3x spike
Decay Detection
Gradual engagement decline over time. 7-day vs 7-14 day comparison reveals trends that daily snapshots miss.
Open rate -25% over 14 days — gradual fatigue pattern
Distribution Shift
Changes in device mix, geo distribution, or ISP share. A 10-point mobile share drop might indicate rendering or deliverability issues.
Mobile share 45% -> 32% (-13 points) — investigate
Correlation Detection
Patterns that only emerge when crossing dimensions. Engagor AI finds relationships between seemingly unrelated metrics.
Complaint + correlates with volume + on Tuesdays
Threshold Breach
Absolute thresholds for critical metrics. Complaint rate >0.10% is dangerous regardless of baseline — immediate alert.
Complaint rate 0.12% — above critical threshold
Baseline Deviation
Learned baselines per identity, per ISP. What's normal for your promo stream differs from transactional — the system knows.
2x above YOUR baseline (not arbitrary threshold)
Pattern detection that thinks
Beyond rule-based detection, Engagor AI analyzes your aggregated data looking for patterns that don't fit predefined rules. It asks: "What's unusual here that the thresholds wouldn't catch?"
Emerging pattern detected
"Your Gmail bounce rate is normal overall, but when isolated to mobile devices in DACH region, there's a 2.3x elevation starting 3 days ago. This pattern preceded a major throttling event for another customer last month."
Monitor closely for 48 hours. Consider reducing DACH Gmail volume preemptively if trend continues.
Proactive, not reactive
Traditional monitoring tells you when something broke. Engagor AI tells you when something is about to break — and often, why.
- Alert when metric > threshold
- Single-dimension only
- False positives from noise
- Manual root cause analysis
- Damage already done
- Alert when pattern emerges
- Multi-dimensional analysis
- Learned baselines filter noise
- AI-suggested root causes
- Prevent damage before it happens
Ready to find what you're missing?
See how multi-dimensional anomaly detection can uncover patterns hiding in your email ecosystem.