How Sealmetrics Consolidates Data
Understanding how Sealmetrics processes and consolidates your analytics data helps you interpret your reports, especially during high-traffic events. This guide explains how our real-time engine works, why queues appear during traffic spikes, and why this approach ensures complete and accurate analytics.
Overview
Sealmetrics is designed to capture 100% of clicks with zero data loss — even during extreme traffic peaks.
When traffic levels exceed real-time capacity, the system activates a safe queue-based processing model.
This mechanism ensures accuracy and stability without compromising performance or privacy.
1. How Sealmetrics Processes Data
Capturing Every Click
Sealmetrics records every hit that reaches your website:
- No sampling
- No dropped clicks
- No partial aggregation
Data integrity is always the top priority.
Normal Traffic: Real-Time Processing
Under typical conditions:
- A click occurs
- Sealmetrics processes it instantly
- Data becomes visible in your dashboard
- Reports update in real time
This is how the system behaves most of the time.
2. What Happens During Traffic Spikes
When your site receives unusually high volumes of traffic:
- The system detects the spike
- A processing queue is activated
- All new hits are captured and stored
- Processing continues in strict FIFO order
- No hits are ever lost
This is a controlled, expected behaviour — not a malfunction.
After Traffic Normalizes
Once traffic returns to normal:
- Processing accelerates
- The queue shrinks gradually
- All pending hits are processed
- The system resumes real-time mode automatically
3. Why Queueing Is Necessary
Queueing during high traffic is industry standard. Without queues, an analytics system would:
- Drop data under pressure
- Crash from overload
- Misattribute events due to rushed processing
Sealmetrics avoids all of these issues by prioritizing accuracy over immediacy during extreme load.
4. Understanding Processing Delays
Delays Occur When:
- Traffic exceeds normal real-time capacity
- Spikes occur suddenly
- High traffic continues for long periods
Delays Are Not Caused By:
- API issues
- Server errors
- Downtime
- Database problems
- Missing hits
The system continues capturing all hits even if reporting is delayed.
5. How Long Do Delays Last?
The duration depends on spike magnitude:
| Scenario | Typical Delay |
|---|---|
| Standard campaign spike | 1–4 hours |
| Large promotional event | 4–12 hours |
| Extreme viral spike | 24–48 hours (rare) |
Once the queue clears, all data appears normally.
6. Best Practices for High-Traffic Periods
Before Expected Traffic Peaks
- Inform your team about potential processing delays
- Schedule reports after traffic stabilizes
- Focus on trends instead of minute-by-minute data
During Delays
- Trust the consolidation process
- Avoid adding duplicate tracking
- Do not modify pixel setup
- Allow the queue to clear before making performance decisions
Signs You Are in Queue Mode
- Dashboard updates slow down
- Data appears in batches
- Recent hours may show lower values temporarily
7. Technical Infrastructure
Queue Architecture
Sealmetrics uses a modern, scalable infrastructure:
- Distributed processing across multiple nodes
- FIFO queue ordering
- Redundant failover systems
- Automatic scaling during spikes
- Priority handling for critical data types
Continuous Optimization
We continuously improve processing capacity and performance through:
- Infrastructure scaling
- Algorithmic enhancements
- Live system monitoring
Conclusion
Sealmetrics uses a real-time engine capable of capturing every click with zero loss, even during extreme traffic events.
When traffic spikes occur:
- All data is captured
- Reporting may slow temporarily
- The queue resolves automatically
- Accuracy and completeness remain intact
This approach ensures the highest level of data reliability while keeping the system stable and privacy-compliant.
If you need help analyzing a specific delay or traffic pattern, contact our support team with your timeline and account details.