Template Message history/stats
Broadcast Statistics & Engagement
Overview
Yazi provides detailed tracking of every broadcast message you send, allowing you to monitor delivery rates, engagement levels, and individual participant responses. This gives you complete visibility into how your messages are performing and helps you optimise your communication strategy.
Where to View Stats
Broadcast statistics can be accessed in two places:
Inside your study — Navigate to the Share tab to see stats for all broadcasts related to that specific study.
Broadcast Messages section — View stats across all broadcasts, regardless of study.
Both locations provide the same detailed metrics and drill-down capabilities.
Key Metrics
Each broadcast displays five core engagement metrics:
Sent — Number of messages successfully submitted to Meta for delivery.
Delivered — Messages that reached the participant's WhatsApp.
Read — Messages opened and viewed by the participant.
Started — Participants who tapped the campaign button and entered the study.
Opt-Out — Participants who tapped the opt-out button to stop receiving messages.
Failed — Messages that could not be delivered.
Visual Dashboard
The Share tab displays your stats as a clear graph, showing the funnel from sent messages through to study starts. Below the graph, you can see individual broadcasts and batches that make up the overall statistics.
Drilling Down to Individual Level
Participant-Level Detail
For any broadcast, you can drill down to see individual participant responses: who received the message, who opened it, who started the study, and who opted out. This granular visibility helps you understand engagement patterns and identify highly responsive vs. non-responsive segments.
Send History
Click on Send History to see a comprehensive record of all broadcasts sent, including batch details (when each group was sent and to how many participants), individual participant status (delivered, read, started, failed for each phone number), and failure analysis (specific reasons why messages failed to deliver).
Understanding Message Failures
Common Failure Reasons
When messages fail to deliver, the platform displays the specific reason:
User not interested in marketing — Meta has data indicating this participant doesn't want to receive promotional messages. Try reclassifying your message as "utility" or use a link-based approach instead.
Invalid number — Phone number doesn't exist or is incorrectly formatted. Check number formatting, including country codes.
No WhatsApp account — Valid phone number but no WhatsApp installed. Consider alternative channels or accept this participant is unreachable.
Payment issues — Billing problem preventing message send. Check your Meta Business Manager payment settings.
Rate limit exceeded — You've hit your daily sending limit. Wait for the limit to reset or increase your verification level.
User blocked your number — Participant has previously blocked your WhatsApp number. This participant cannot receive future messages from your number.
Template paused — Meta has paused your template due to quality issues. Review the template content and resubmit once issues are resolved.
Meta's Delivery Filtering
Meta actively filters messages they believe recipients don't want to receive. If a phone number has previously indicated disinterest in marketing messages (by blocking, reporting, or ignoring similar content), Meta may refuse to deliver your broadcast even if it's properly formatted and approved.
This is why utility message classification is valuable — utility messages have a higher delivery rate because they're perceived as transactional rather than promotional.
Using Stats to Optimise Performance
Benchmark Metrics
Typical engagement rates for well-targeted WhatsApp broadcasts:
Delivery rate: 85–95% (failures usually due to invalid numbers)
Read rate: 70–90% of delivered messages
Click-through rate: 15–40% of read messages (varies significantly by incentive, relevance, and audience)
Performance Analysis
Use broadcast stats to compare message variants (test different subject lines, incentives, or call-to-action wording), identify optimal timing (compare engagement rates across different send times and days), refine targeting (identify which participant segments engage most and focus future recruitment efforts), and improve message content (low read-to-click conversion may indicate your message needs a clearer value proposition or stronger call-to-action).
When to Send Reminders
Monitor your stats to decide on reminder timing:
High delivery, low reads — Participants received but haven't opened. Try a different send time.
High reads, low clicks — Participants saw the message but weren't compelled to start. Revise the message content or incentive.
High clicks, low study completion — Participants started but didn't finish. Use study-level completion tracking to send targeted completion reminders.
Managing Opt-Outs
Opt-Out Tracking
The stats dashboard tracks opt-outs separately from other engagement metrics. Participants who opt out are immediately removed from future broadcasts, cannot be re-added to your messaging list, and receive a confirmation message acknowledging their opt-out.
Maintaining List Quality
Monitor opt-out rates as an indicator of message relevance and frequency. High opt-out rates may indicate your messaging is too frequent, poorly targeted, or not valuable to recipients. Consistent low opt-out rates suggest good message-audience fit. A spike in opt-outs after a particular message indicates that content may have been off-target.
Best practice: Aim for opt-out rates below 2%. Higher rates may damage your number's reputation with Meta and reduce future delivery rates.
Known Limitations
Meta's filtering decisions — Meta may choose not to deliver messages to certain numbers based on their internal algorithms, even if your template is approved and properly formatted. These appear as failures but are outside your control.
Delayed reporting — Delivery and read statistics may take a few minutes to update, particularly for large sends.
Cross-number tracking — If you use multiple WhatsApp numbers, stats are tracked per number, not consolidated across numbers.
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