From xiaohongshu-complete-skills
Guides timing analysis for Xiaohongshu: optimal posting times, audience activity patterns, A/B testing, engagement metrics by time slot for max reach.
npx claudepluginhub vivy-yi/xiaohongshu-skills --plugin xiaohongshu-complete-skillsThis skill uses the workspace's default tool permissions.
Timing analysis is the data-driven study of when Xiaohongshu audiences are most active and receptive to content, enabling strategic scheduling that maximizes reach, engagement, and conversion.
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Timing analysis is the data-driven study of when Xiaohongshu audiences are most active and receptive to content, enabling strategic scheduling that maximizes reach, engagement, and conversion.
Before: Post when convenient, inconsistent timing, missed opportunities After: Data-driven timing, peak engagement, strategic scheduling
3 Timing Dimensions:
| Time Slot | Engagement | Reach | Competition | Best Content Type |
|---|---|---|---|---|
| Morning (7-9 AM) | Medium | Medium | Low | Educational, tips |
| Lunch (12-1 PM) | High | High | Medium | Entertainment, light |
| Evening (7-9 PM) | Very High | Very High | High | All content types |
| Late Night (9-11 PM) | Medium | Medium | Low | Community, engagement |
Activity Tracking:
Tools:
A/B Testing Framework:
Testing Variables:
Metrics by Time Slot:
Statistical Significance:
Optimal Schedule:
Content Type Timing:
Seasonal Patterns:
Real-Time Adaptation:
Timing Optimization Results:
REQUIRED: Use data-analytics (measure timing performance) REQUIRED: Use content-calendar (schedule optimized times)
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