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The Analytics page provides a unified view of messaging performance across all channels. It helps track delivery, engagement, and automation effectiveness in real time.
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Overview

Analytics is organized into multiple sections:
  • Overview
  • Messages
  • Campaigns
  • Automations
Each section focuses on a different part of the communication lifecycle.

Overview Tab

The Overview tab gives a high-level summary of overall performance.

Key Metrics

  • Total Messages — Total volume of messages processed
  • Delivery Rate — Percentage of successfully delivered messages
  • Read Rate — Percentage of messages opened by users
  • Reply Rate — Percentage of messages that received responses
  • Failure Rate — Percentage of messages that failed

Insights

  • Quickly understand system health
  • Identify delivery or engagement issues
  • Monitor overall messaging trends

Message Analytics

Focuses on message-level performance.

What it shows

  • Sent vs Delivered vs Read vs Failed trends
  • Time-based message activity
  • Delivery behavior across channels

Use cases

  • Identify drop-offs in delivery
  • Monitor read and engagement trends
  • Debug messaging issues
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Campaign Analytics

Tracks performance of broadcast campaigns.

Key insights

  • Campaign reach
  • Delivery success
  • Engagement (reads, replies)
  • Audience performance

Use cases

  • Measure campaign effectiveness
  • Compare campaign performance
  • Optimize targeting and messaging
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Automation Analytics

Provides insights into automation workflows.

What it tracks

  • Flow execution volume
  • User interaction within flows
  • Drop-off points
  • Completion rates

Use cases

  • Identify weak points in automation flows
  • Improve chatbot performance
  • Optimize sequences and journeys
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The analytics section includes time-based charts showing:
  • Message volume over time
  • Delivery vs failure trends
  • Engagement patterns
These help visualize performance and detect anomalies quickly.

Summary Panel

Provides quick aggregated data such as:
  • Active campaigns
  • Total campaigns
  • Unique contacts
  • Total recipients

Best Practices

  • Monitor delivery and failure rates regularly
  • Use campaign analytics to improve targeting
  • Analyze automation drop-offs to refine flows
  • Compare trends over different time ranges

Last modified on April 24, 2026