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In addressing negative review crises on Little Red Book platform, you must grasp the golden 24-hour handling period. Combined with the user trust weight mechanism after algorithm upgrades, build a three-stage reputation management system of "damage control-repair-upgrade." Below is an actionable operational framework:
I. Emergency Response Stage (0-24h)
Execution Goal: Control public opinion spread radius, lower note search rankings
- Tiered Response Mechanism Data Monitoring Tools:
- Qiangua Data: Set up monitoring for "brand words + negative emotion words" (such as "stepped on a mine"/"avoid pitfalls")
- Creator Center: Check note "audience source" data in real-time (prioritize handling when search traffic >50%)
Response SOP:
Crisis Level | Determination Criteria | Response Action | Tool Support |
S Level | Likes >500 and search ranking TOP3 | Customer service + PR + Legal team joint action | Huitun Data downgrade service |
A Level | Saves >200 with product keywords | Official account matrix concentrated response | Shutiao promotion to suppress with positive content |
B Level | General user complaints without signs of spreading | Single customer service follow-up | Enterprise account private message template library |
- Standardized Reply Templates Core Elements:
- Use enterprise account "auto-reply" function to preset 10 sets of scripts
- Compensation plans should be sent via private message (avoid public inducement suspicion)
- Avoid negative words like "misunderstanding"/"impossible"
Operational Details:
II. Targeted Repair Stage (24-72h)
Execution Goal: Transform negative reviews into trust assets
- Private Message Communication Strategy Layered Processing Model:
- Sending time: Weekdays 10:00-11:00 (open rate peak)
- Message structure: Text (within 200 characters) + Image (compensation proof) + Link (improvement plan)
- Prohibited word library: Inducing words like "delete"/"cashback"
User Type | Communication Strategy | Conversion Plan | Data Metrics |
Real consumers | Product compensation + Experience officer invitation | Guide negative review keyword modification | Negative review modification rate >35% |
KOC/KOL | Exclusive benefits + Customized solutions | Convert to in-depth review cooperation | Cooperation conversion rate >20% |
Malicious attack accounts | Fixed script + Evidence archive | Batch reporting process | Report success rate >68% |
Script Design Techniques:
- Downgrading Technical Solutions Compliant Downgrading Path:
- Deploy 3-5 quality notes covering keywords (budget 300 yuan/note)
- Guide fans to like positive comments to TOP3 positions
- Use "Shutiao" to heat up historical viral content to dilute negative content
- Daily report count ≤5 times (avoid triggering anti-cheating mechanism)
- Modified negative reviews must retain original rating (keep at least half a star)
Risk Tips:
III. Reputation Upgrade Stage (72h+)
Execution Goal: Transform crisis into brand trust increment
- Improvement Announcement Note Structure Content Framework:
- First image: Comparison (old version VS upgraded version)
- Video: Factory production line upgrade recording (duration ≤30s)
- Topics: #BrandGrowthDiary #UserCo-creationPlan
- Time: Friday 18:00-20:00 (workplace user active period)
- Push: Associate 3 historical viral content topic tags
- Interaction: @5 core fans to launch experience officer recruitment
Visual Elements:
Publishing Strategy:
- Long-term Defense System Public Opinion Management Matrix:
Module | Implementation Plan | Monitoring Tool | Optimization Cycle |
Keyword Library | Weekly update of industry risk words | Lingke Word Checker | Every Monday |
Response Corpus | Monthly iteration of 30% reply templates | Juyi Network | 1st of each month |
Crisis Drill | Quarterly simulated S-level public opinion | Qiangua Data | End of each quarter |
User Assets | Establish core experience officer community of 200 people | Enterprise WeChat | Continuous operation |
Data Dashboard and Iteration Mechanism
Core Monitoring Indicators:
- Negative review handling time efficiency: ≤12 hours
- Negative review conversion rate: ≥25% modified to positive reviews
- Brand search proportion: Positive notes >70%
Iteration Strategy:
- Next month review meeting to analyze handling data
- Quarterly update of crisis level standards
- Annual upgrade of compensation benefit system
Through the three-stage model of "emergency response-targeted repair-reputation upgrade," negative review crises can be transformed into opportunities to improve brand trust. Focus on grasping the platform's "review authenticity weight" algorithm (user modified reviews have weight reduced by 50%), using compliant operations to achieve reputation turnaround against headwinds.