# 蟹老板亚马逊选品 (@mihayi2006) on xiaohongshu

- id: koinon:creator:xiaohongshu_mihayi2006
- url: https://koinonlink.com/kol/xiaohongshu/mihayi2006
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: mihayi2006
- platform_url: https://www.xiaohongshu.com/user/profile/60fdbec0000000000101d7ea
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 16000
- posts_observed: 7
- verified: false
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.16537
- best_post_interactions: 2646
- measurement_source: cn_posts_max
- measurement_formula: likes + comments + shares (douyin) or likes + comments + collects (xiaohongshu), max over observed posts
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: ecommerce
- subcategory: marketplace
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: 亚马逊选品方法, 蓝海/红海品类筛选, 转化率与流量分析, 广告ACOS优化, 精铺店铺选品策略
- bio: RED ID: mihayi2006

## Audience (inferred)
- status: present
- description: Amazon cross-border e-commerce sellers, especially frontline operations staff focused on niche product selection and small-to-medium sized sellers
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to discover hidden niche market opportunities, Inaccurate assessment of product conversion rates leading to failed product testing, High ad ACOS and difficulty improving product ranking scores, New sellers lack systematic product selection methods and inspiration
- posts_analysed: 22
- confidence: 0.6

## Commercial (inferred)
- audience_buyer_fit: 1
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 70
- authenticity_basis: engagement_observed
- credibility_score: 55
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [xiaohongshu_mihayi2006#6d371fb3] 从人群开始亚马逊选品/开发 (https://www.xiaohongshu.com/user/profile/60fdbec0000000000101d7ea)
- [xiaohongshu_mihayi2006#33914f1c] #蟹老板亚马逊选品[话题]# #亚马逊选品[话题]# #亚马逊[话题]# #亚马逊精铺[话题]# #亚马逊产品开发[话题]#
- [xiaohongshu_mihayi2006#a17a8da6] 亚马逊精铺选品效率提升100倍
- [xiaohongshu_mihayi2006#18b864c5] #蟹老板亚马逊选品[话题]# #亚马逊选品[话题]#  #亚马逊[话题]# #亚马逊跨境电商[话题]#
- [xiaohongshu_mihayi2006#2cce0993] 亚马逊红海类目，快速筛选隐藏蓝海细分品类
- [xiaohongshu_mihayi2006#d58282e8] 快速判断亚马逊选品转化率
- [xiaohongshu_mihayi2006#5f1e80a5] 亚马逊流量背景分析选品
- [xiaohongshu_mihayi2006#8b899c6a] #蟹老板亚马逊选品[话题]# #亚马逊选品[话题]# #亚马逊精铺[话题]# #亚马逊[话题]#

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=91, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=80, method=Starts at 60; interactions-per-follower on collected posts then adds or subtracts (large following with near-zero engagement is penalised heavily). — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=91, method=llm_partner_fit_classifier + authenticity >= 55 AND fit_score >= 0.45 => A; authenticity >= 40 AND fit_score >= 0.3 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=91, method=platform_profile

## Freshness
- profile_checked_days_ago: 91
- content_analysed_days_ago: 80
- audience_updated_days_ago: 80

## AI retrieval
- indexing_requests: 9
- user_triggered_requests: 1
- last_user_triggered_day: 2026-09-01
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=xiaohongshu_mihayi2006
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_mihayi2006
- Terms: https://koinonlink.com/for-ai