# 蓝鲸选品 (@49328054129) on xiaohongshu

- id: koinon:creator:xiaohongshu_49328054129
- url: https://koinonlink.com/kol/xiaohongshu/49328054129
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: 49328054129
- platform_url: https://www.xiaohongshu.com/user/profile/60bc44e5000000000100b744
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2100
- posts_observed: 2
- verified: true
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: crossborder
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: 美客多选品方法与数据工具, 行业趋势与竞品分析, 热搜词与广告排名逻辑, 侵权风险防范, 托管模式区别, 爆款数据复盘与报告
- bio: 商务服务中心

## Audience (inferred)
- status: present
- description: Mercado Libre cross-border sellers, especially product selection and operations executors among Chinese sellers
- roles: ecom_ops
- seniority: practitioner
- pain_points: Lack of data-driven insights in product selection leads to guessing and financial losses, IP infringement complaints result in listing removals, store restrictions, and wasted ad spend, Opaque ad ranking algorithms make it hard to boost visibility and conversions despite budget投入, Significant information gap in the Latin American market, making it difficult to access accurate competitor sales data and profit margins
- posts_analysed: 42
- confidence: 0.75

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

## Quality signals
- authenticity_score: 58
- authenticity_basis: platform_default
- credibility_score: 45
- 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_49328054129#8c04ab7c] 美客多选品运营数据分析工具 / 💡作为拉美电商平台的领先者，（Mercado Libre）美客多SPN倌方数据运营分析平台【蓝鲸选品&蓝鲸BI】一直致力于为卖家提供强大的数据支持。 (https://www.xiaohongshu.com/user/profile/60bc44e5000000000100b744)
- [xiaohongshu_49328054129#f4e8669f] 📊覆盖了拉美地区销售趋势分析、大数据选品、 / 9分钟掌握美客多热搜词分析技能 | 干货 / 美客多热搜词直接决定商品是否能被目标买家搜索到，是流量入口的核心；如果标题、卖点、关键词与用户搜索词不匹配，即使产品有需求、价格有优势，也很难获得曝光和点击，更谈不上转化。热搜词不仅影响自然流量，也会 / 我懂美客多选品很难，看完这个视频就简单了 / 从最开始凭感觉选品踩了一堆坑
- [xiaohongshu_49328054129#5d112514] 到现在基本选一个成一个，心得就是：
- [xiaohongshu_49328054129#592d8ef3] 选品真的不是靠刷榜单碰运气，是有数据方法论的！
- [xiaohongshu_49328054129#d5a5ea1d] 分享一套我自己一直在用的选品思路，新手也能直接套用👇
- [xiaohongshu_49328054129#16999705] ✅ 第一步：先筛赛道，别一 / 👀一个视频学会【美客多行业趋势】分析 / 最近在帮朋友梳理美客多（Mercado Libre）几个类目，发现不少人选品只盯"这个月卖了多少"，但行业趋势得拆成几个维度一起看，才不会被表面的热闹带偏👇
- [xiaohongshu_49328054129#87028276] 📈 增长曲线
- [xiaohongshu_49328054129#82dd36f0] 看类目的逐月销量和成 / 美客多应对侵权投诉完整攻略 / #美客多[话题]# #美客多侵权[话题]# #美客多侵权自查🔍[话题]# #美客多侵权防范[话题]# #蓝鲸选品[话题]# / 一招学会规避美客多侵权风险 |专利图搜 / 做美客多卖家的谁没吃过侵权的亏啊…

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

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=76, 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=76, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, 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=0.25, freshness_days=76, method=Fixed value 58, pending engagement collection. Not a measurement. — 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=108, method=llm_partner_fit_classifier + fit_score >= 0.5 => A; >= 0.35 => B; else C. authenticity is not an input. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 76
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 12
- 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_49328054129
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_49328054129
- Terms: https://koinonlink.com/for-ai