We've redesigned the Messaging Analytics section inside the Messaging tab in Phone Settings, giving you deeper visibility into your SMS performance with interactive charts, period-over-period comparisons, and detailed message logs.
๐งช Available now via Labs
- Enable the Messaging Analytics V2 flag in Labs to try the new experience. The previous analytics view remains available when the flag is off.
๐ What's New
The Messaging Analytics tab has been rebuilt from the ground up with a clearer layout, richer data, and actionable insights to help you understand how your messages are performing.
๐ ๏ธ How It Helps
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Period-Over-Period Comparisons:
Every metric now shows how it changed compared to the previous period (e.g., "vs last 30 days"), with green/red indicators so you can instantly spot trends - whether your delivery is improving or failure rates are creeping up.
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Failure Rate Trend Chart:
A new bar chart shows how your message failure rate changes over time, with a clear threshold line at 10% - helping you catch delivery issues before they escalate to account restrictions.
๐ฉ
Failure Reason Breakdown:
A new donut chart breaks down exactly why messages failed (e.g., carrier filtering, invalid numbers, opted-out recipients, unverified toll-free numbers) so you can take targeted action instead of guessing.
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Opt-Out Rate Trend:
A new line chart tracks opt-out rates over time with a 2% threshold marker, so you can monitor subscriber health and adjust your messaging strategy before reaching risky levels.
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Click Metric for Details:
Every summary card is now clickable - tap on Sent, Delivered, Failed, Received, or Opt-Out Rate to open a detailed logs modal showing individual message records with contact name, phone number, status, date, and error codes.
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Extended Date Range:
The default view now shows the last 30 days (previously 7 days), and you can select up to 90 days for a broader picture of your messaging trends.
๐ก Why It Matters
Messaging deliverability directly impacts customer engagement and revenue. The previous analytics view showed raw counts without context - you knew messages failed, but not why, and you couldn't see trends over time. With the redesigned analytics:
โ ๏ธ
Catch delivery issues early
with trend charts and threshold indicators before they trigger account-level restrictions
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Reduce failed messages
by understanding the specific error codes causing failures
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Protect sender reputation
by monitoring opt-out trends and staying below carrier thresholds
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Make data-driven decisions
about which messaging sources (campaigns, workflows, bulk) are most effective