Home / Companies / CodeWords / Blog / Post Details
Content Deep Dive

The WhatsApp anti-ban playbook: operating a quality rating

Blog post from CodeWords

Post Details
Company
Date Published
Author
Rebecca Pearson
Word Count
1,874
Company Posts That Month
28
Language
English
Hacker News Points
-
Post removed?
No
Summary

WhatsApp messaging quality should be managed as an operational metric with a named owner, established baseline, written thresholds, and immediate responses to rating declines, rather than as a set of reactive rules for avoiding bans. New numbers should be warmed gradually over weeks, beginning with inbound conversations and expected transactional messages before requested notifications or promotional campaigns, while teams monitor ratings, limits, block rates, template performance, opt-outs, and engagement. Campaigns should target engaged recipients first, be staggered in batches, include verified opt-in and functioning opt-out mechanisms, and stop promptly when predefined warning signals appear. The guidance recommends separating essential transactional messaging from promotional activity to contain reputational risk, while recognizing that numbers in the same portfolio share messaging capacity. Automation tools such as CodeWords can monitor metrics and send alerts, but effective compliance ultimately depends on sending relevant, wanted messages, maintaining opt-in records, suppressing opt-outs everywhere, and giving an authorized person the power to halt sends without delay.

Trends Found in this Post

No tracked trend matches for this post yet.

Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.