The first WhatsApp report a marketer sees usually causes excitement: read rates far above anything email produces. The excitement is misplaced, because a read rate that is near-universal cannot discriminate between a good campaign and a bad one.
What each status means
- Sent — accepted by WhatsApp. Says nothing about the recipient.
- Delivered — reached the device. A failure here is a data or eligibility problem, not a content problem.
- Read — the chat was opened. Note this reports only where read receipts are enabled, so it undercounts.
- Replied — they typed something back. The first genuinely meaningful signal.
- Converted — they did the thing you wanted.
Read rate is a hygiene metric
Use it to detect problems, not to judge success. If it drops sharply, something is wrong — wrong audience, wrong time, damaged sender reputation. If it is high, you have learned only that WhatsApp is WhatsApp.
Reply rate is the honest headline
A reply costs the recipient effort, which is exactly what makes it informative. It also has a practical benefit: a reply opens a 24-hour window in which you can converse freely, so campaigns designed to earn replies produce a cheaper and more flexible channel than campaigns designed to earn clicks.
This argues for calls to action that ask for a reply — "reply SIZE with what you need" — rather than always pushing to a link.
Negative metrics deserve equal billing
Blocks and complaints belong on the same report as reads and replies, not buried elsewhere. They feed quality rating, which governs your future reach, so a campaign with a strong reply rate and a spiking block rate is not a success — it is borrowing from next quarter.
Diagnosing from the pattern
- Low delivered — data problem. Invalid numbers, contacts without WhatsApp, formatting errors.
- Delivered high, read low — unusual. Suspect timing, or recipients who no longer recognise you and leave you unopened.
- Read high, replied low — the message was seen and did not persuade. This is a content and offer problem, and it is the most common pattern.
- Replied high, converted low — interest exists and the path afterwards is broken. Check the link, the page, the stock, the response time.
- Everything good, blocks rising — you are over-messaging the people who like you. Reduce frequency before it costs you the list.
Compare like with like
Utility and marketing messages have completely different profiles, and averaging them produces a number describing nothing. Report them separately. Likewise separate segments: a dormant re-engagement campaign performing at half the rate of a recent-buyer campaign is not underperforming, it is a different task.
The smallest useful report
Per campaign: delivered rate, reply rate, conversion rate, block rate, and cost per conversion. Five numbers. Segmented by audience and category, tracked over time rather than admired individually — the trend across six campaigns tells you far more than any single row.