Little Red Book Operations Guide: "Shadow Restriction" Self-Assessment Checklist

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I. Basic Signal Monitoring: Analysis of 5 Major Anomaly Indicators

Signal 1: Note reading volume consistently <100

Detection Tools: Lingke Word Checker/Little Red Book Creator Center

Operation Process:

Copy note text to Lingke Word Checker (web version)

Detect prohibited words and replace with synonyms (replacement rate should be >30%)

Use Creator Center's "Note Diagnosis" function for secondary verification

Key Point to Avoid: Do not use absolute terms like "most/first/top-level"

Signal 2: Follower growth stagnation and follower loss rate >3%

Optimization Focus: Avatar and bio approachability

Implementation Plan:

Avatar: Use warm tones + 45° side profile (increases click rate by 25%)
Bio: Use "Identity + Value + Benefit" structure (e.g., Skincare guide | 5 years researching oily acne-prone skin | DM for solutions)
Background image: Add "Follow for resources" visual anchor

Signal 3: 80% of interaction data comes from follower list

Breakthrough Strategy:

Embed "beginner/novice" keywords in titles (covers new user searches)

Set question anchors every 300 characters in the main text (e.g., "Have you encountered this situation?")

Add voting components at the end (options should include "Other (add in comments)")

II. Advanced Signal Diagnosis: Traffic Structure Anomalies

Signal 4: Homepage recommendation traffic <10%

Detection Path: Creator Center → Audience Source Analysis

Recovery Plan:

Post notes consistently at 18:00-20:00 for 5 consecutive days

Use "Shutiao" to boost historical quality notes (budget 50 yuan/day)

Increase "information increment" content modules (such as comparison reviews/pitfall guides)

Signal 5: Search traffic proportion >50%

Risk Warning: Content overly dependent on keywords

Balancing Strategy:

Produce 2 trending topic content pieces weekly
Add "pain point" scenario in the first 3 seconds of video notes
Use Jianying "dynamic text" to enhance visual appeal

III. Data Calibration Tools and Usage Specifications

Tool Matrix:

Tool Name	Core Function	Usage Frequency
Lingke Word Checker	Real-time prohibited word detection	Every note
Qiangua Data	Traffic structure analysis	Weekly
Creator Center	Account health score query	Daily
Juyi Network	Advertising law compliance detection	Every 3 notes

Operation Taboos:

Publishing >3 notes per day (triggers marketing account risk control)

Modifying published notes >2 times (causes weight reset)

Using third-party traffic boosting tools (92% permanent ban rate)

IV. Flow Restriction Repair SOP Process

First Stage (1-3 days):

Delete ineffective notes from the past 7 days (interaction rate <2%)

Publish 1 pure value-add image+text note daily (no product links)

Maintain private message response rate >90%

Second Stage (4-7 days):

Participate in official topic #NoteInspiration (with platform traffic support)

Optimize historical hit notes (add 3 video comments)

Set up "Follow for resources" automatic reply script

Third Stage (8-14 days):

Launch fan co-creation activities (enhance account activity tags)

Deploy Shutiao to test content models (budget 20 yuan/note)

Establish topic library grading system (S/A/B level content ratio 3:5:2)

Through the three-stage model of "signal monitoring-tool verification-strategy iteration," accounts can restore healthy traffic status within 14 days. It's key to understand the platform's "creator credit score" mechanism (normal recommendation at 8 points or above) and avoid high-frequency violations that lead to weight decay. It's recommended to perform account check-ups every Monday to establish a data-driven operational rhythm.