# 慕闻里 (@慕闻里) on wechat

- id: koinon:creator:wechat_慕闻里
- url: https://koinonlink.com/kol/wechat/%E6%85%95%E9%97%BB%E9%87%8C
- schema_version: 1.4

## Identity
- platform: wechat
- handle: 慕闻里
- platform_url: https://weixin.sogou.com/weixin?type=1&query=%E6%85%95%E9%97%BB%E9%87%8C
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- posts_observed: 4
- verified: false
- size_tier: nano

## Engagement
- status: not_measurable_on_platform
- status_note: This platform publishes no follower count, so an engagement RATE has no denominator here. No amount of further collection can produce one — it is a property of the platform, not a gap in our data.
- 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: ecom_ads
- category_confidence: 0.92
- category_source: derived_from_recent_content
- topics: Product selection strategy, Price point optimization, Price elasticity analysis, Data-driven decision making in e-commerce, Brand concentration and product portfolio management, DFI (Demand Forecasting Index) application

## Audience (inferred)
- status: present
- description: E-commerce operators focusing on product selection and pricing strategy, mainly mid-to-small scale sellers in cross-border and domestic Chinese markets
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to determine the optimal price points that maximize profit without losing customers, Having difficulty calculating the true impact of product bundling and cross-selling on overall revenue, Not knowing how to effectively use data to assess product contribution and brand concentration, Unable to build a systematic approach to selecting products based on data-driven metrics like price elasticity and DFI
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 60
- authenticity_basis: platform_default
- 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
- [wechat_慕闻里#9a7e599a] 选品课-第2集(下):ABC与贡献度的四种算法 (https://weixin.sogou.com/weixin?type=1&query=%E6%85%95%E9%97%BB%E9%87%8C)
- [wechat_慕闻里#467a5afa] 选品课 · 第4集(中)——价格带:你的顾客在哪个价格上掏钱
- [wechat_慕闻里#703f268d] 选品课 · 第4集(下)——价格带:数据获取与改善动作
- [wechat_慕闻里#3147bcf8] 选品课 · 第6集——自有品牌与品牌集中度
- [wechat_慕闻里#b6a051e7] 选品课 · 第5集(下)价格弹性——带上DFI,把连带那本账也算了

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=2, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=2, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=2, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=2, 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=2, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=2, 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=2, method=Fixed value 60. This platform exposes no public follower count, so no authenticity heuristic is run at all. The number is a placeholder, 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=2, 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=2, method=platform_profile

## Freshness
- profile_checked_days_ago: 2
- content_analysed_days_ago: 2
- audience_updated_days_ago: 2

## AI retrieval
- indexing_requests: 2
- user_triggered_requests: 0
- 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=wechat_%E6%85%95%E9%97%BB%E9%87%8C
- Request removal: https://koinonlink.com/claim?k=wechat_%E6%85%95%E9%97%BB%E9%87%8C
- Terms: https://koinonlink.com/for-ai