When support asks "did this email go out?", you need immediate answers. Sendarix analytics gives engineering, support, and operations a shared source of truth.
Observe message states, identify patterns, and prioritize fixes with confidence.
Analytics is more than charts. It is the foundation for incident response, deliverability tuning, and customer support confidence.
Inspect recipient-level and message-level histories with timestamps and delivery status context.
Monitor bounce, complaint, and delivery trends to detect quality issues before they escalate.
Trace failures quickly and distinguish between application, content, and provider-level problems.
Provide clear operational summaries for product, leadership, and customer-facing teams.
Compare outcomes by stream, template, and sender identity to find weak points faster.
Track delivery health against internal reliability targets and escalation thresholds.
A practical loop for operating email as production infrastructure.
Track event volumes and status ratios across key streams and domains.
Drill into message-level logs when incidents or customer tickets are raised.
Adjust templates, list segments, sending rules, or authentication based on evidence.
Confirm trend recovery and keep optimization continuous.
Use analytics with Webhooks for automation and Deliverability workflows for long-term performance gains.
Engineering leads, SRE/ops teams, support managers, and product teams operating high-dependency email workflows.
Yes. Message-level logs and event timelines help isolate recipient-specific or stream-specific issues quickly.
No. Early-stage teams benefit by setting healthy operational habits before scale introduces complexity.
Support can verify status accurately instead of relying on assumptions, reducing ticket resolution time.
Opens rely on images or proxies and can be inflated or blocked. Clicks usually indicate stronger intent but still need context. Use both alongside bounces and complaints for a balanced view.
Volume accepted, bounce rate by type, complaint rate, deferral spikes, and top domains or streams. Sudden changes often precede user-visible delivery problems.
Yes. When you tag or separate streams, you can see whether one integration path has higher failures or latency, which guides engineering investment.
Balance operations, compliance, and privacy. Longer retention helps investigations; shorter retention reduces data liability. Align retention with your policies and regional requirements.
Most teams roll up core KPIs—delivery rate, complaint rate, major incidents—into dashboards or spreadsheets. Consistent definitions matter more than chart polish.
No. Webhooks are for real-time reactions; analytics are for trends, audits, and human review. Together they cover both operational speed and strategic visibility.
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