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timing-analysis

Analyze Xiaohongshu audience activity patterns to recommend optimal posting windows.

3|Updated Jan 14, 2022
Search Tags:#analytics#engagement#posting#timing#scheduling#audience#xiaohongshu
One-click install
npx skills add https://github.com/bingran-you/bingran-you --skill timing-analysis-bingran-you
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: timing-analysis
Source: https://github.com/bingran-you/bingran-you/tree/main/repo-skills/xiaohongshu-knowledge/vendor/xiaohongshu-skills/skills/03-%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/timing-analysis
Command: npx skills add https://github.com/bingran-you/bingran-you --skill timing-analysis-bingran-you

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Timing analysis identifies when Xiaohongshu audiences are most active, enabling data-driven posting strategies that maximize reach and engagement.

Core Features & Use Cases

  • Analyze audience activity patterns to detect peak hours, days, and seasonal trends for scheduling decisions.
  • Forecast and optimize posting windows by generating recommended times for different content types and campaigns.
  • Use Case: Plan weekly content calendars by aligning posts with high-activity slots to improve visibility and interaction.

Quick Start

Upload your latest engagement dataset and run timing analysis to generate your optimal posting schedule.

Frequently Asked Questions about timing-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find the best times to post on Xiaohongshu?▼

To find the best Xiaohongshu posting times, run timing analysis on your engagement dataset to identify peak audience activity windows and generate an optimal schedule.

What does audience pattern analysis reveal about content scheduling?▼

Audience pattern analysis reveals peak hours, active days, and seasonal trends, enabling data-driven scheduling decisions that maximize your post reach and engagement.

Can I analyze seasonal trends for my Xiaohongshu content calendar?▼

Yes, you can analyze seasonality data alongside time-of-day and day-of-week patterns to plan weekly content calendars and align posts with high-activity seasonal slots.

Do I need an engagement dataset to optimize posting windows?▼

Yes, you need to upload your latest engagement dataset to forecast and optimize posting windows for different content types and campaigns.

What metrics are included in recommended posting windows?▼

Recommended posting windows include performance metrics and timing recommendations based on analyzed time-of-day, day-of-week, and seasonality data to boost post visibility.

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