Enter messages sent
Use the total audience included in this broadcast.
Turn delivery, read, reply, click, and opt-out data into one broadcast health score. See which part of the campaign needs attention before your next send.
Enter messages sent, delivered, read, replies, link clicks, and opt-outs from one completed broadcast. The calculator returns a score out of 100, a health label, and the component rates behind the result.
Use the total audience included in this broadcast.
Enter how many successfully reached recipients.
Use data from the same campaign and reporting window.
Include recipients who unsubscribed or asked to stop.
Use it as a summary, then inspect every component rate.
Compare it with a similar broadcast after changing one meaningful variable.
Do not combine unrelated campaigns. Different audiences, goals, and reporting periods make the result harder to interpret.
Messages delivered ÷ Messages sent × 100
Messages read ÷ Messages sent × 100
Replies ÷ Messages sent × 100
Link clicks ÷ Messages sent × 100
Opt-outs ÷ Messages sent × 100
The example 1,000 sent, 940 delivered, 680 read, 85 replies, 120 clicks, and 8 opt-outs produces 94% delivery, 68% read, 8.5% reply, 12% click, and 0.8% opt-out. Use the individual rates—not an assumed weighting formula—to decide what to investigate.
This tool divides messages read by messages sent. Some providers divide reads by delivered messages. In the example, 680 ÷ 1,000 is 68%, while 680 ÷ 940 is about 72.3%. Neither is automatically wrong; confirm the denominator before comparing results.
The score summarizes one broadcast and helps locate weakness in delivery, attention, action, conversation, or audience retention.
| Pattern | Possible interpretation | What to investigate |
| Low delivery | Too little of the audience received the message | Contact quality, eligibility, delivery errors |
| Strong delivery, weak reads | The message arrived but did not earn attention | Timing, sender recognition, expectations |
| Strong reads, weak clicks | Readers saw too little reason to act | Offer, CTA, destination |
| Strong reads, weak replies | The message did not invite conversation | Question, reply prompt, relevance |
| Good engagement, high opt-outs | Short-term response may damage audience health | Frequency, segmentation, consent |
| Healthy engagement, weak sales | Engagement did not become an outcome | Follow-up, qualification, booking or checkout |
Prioritize link clicks and conversions after the click.
Prioritize reply rate and the quality of conversations.
Read rate may matter most when no action is required.
Watch opt-outs even when clicks are strong.
Track purchases, qualified leads, and bookings outside the score.
Compare broadcasts with similar goals, audiences, markets, message types, sizes, and reporting windows.
Review stale contacts, eligibility, and delivery errors.
Check timing, audience expectations, and sender recognition.
Use one clear CTA and test the mobile destination.
Ask one specific, easy-to-answer question.
Pause scaling and review frequency, consent, segmentation, and relevance.
A broadcast score explains what happened to the send. It does not answer customers who replied with questions, objections, booking requests, support needs, or buying intent. Dealism automation can handle consistent starting actions, while the AI Customer Agent continues the conversation using your business information. A person remains available when judgment is needed.
Calculate the campaign here. Let Dealism continue the conversations it creates.
Yes. Enter campaign totals and calculate without signing up.
Messages sent, delivered, read, replies, link clicks, and opt-outs from one broadcast.
It measures reads across the full original send. Some dashboards use delivered messages instead.
No. It is a Dealism campaign-health calculation.
No. Track purchases, qualified leads, and bookings separately.
Use a consistent reporting window that gives recipients time to respond.
Once a supported WhatsApp channel is connected, Dealism automation and the AI Customer Agent can help continue those conversations.
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