xhs-postpublish-review

Xiaohongshu post-publish data analysis diagnoses exposure, clicks, reads, retention, saves, comments, shares, and follow conversion. It identifies where content loses users and suggests improvements using note links and time frames like 24h, 48h, or 7d.

Review Xiaohongshu note exposure and retention metrics by inputting the note link and specifying a time frame. The analysis evaluates completion rates, saves, comments, and follow conversion to pinpoint exactly where users drop off.

Yes, you need the Xiaohongshu API to retrieve and analyze post data. The Skill requires this API dependency to access exposure, clicks, and retention metrics for diagnosing content performance issues.

Yes, you can diagnose Xiaohongshu follow conversion and share metrics. The Skill is specifically applicable to content creators and social media analysts seeking to evaluate and improve their content conversion rates.

The best way to identify where Xiaohongshu content is losing users is through post-publish data diagnosis. It evaluates exposure, clicks, reads, and retention metrics to locate drop-off points and suggest informed improvements for future content.

For Xiaohongshu post-publish analysis, you can specify time frames of 24 hours, 48 hours, or 7 days. This allows you to evaluate exposure, clicks, saves, and follow conversion metrics over different periods.