# PHÒNG KHÁM THẨM MỸ TECHMEDICAL (@tmvtechmedical) on tiktok

- id: koinon:creator:tiktok_tmvtechmedical
- url: https://koinonlink.com/kol/tiktok/tmvtechmedical
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: tmvtechmedical
- platform_url: https://www.tiktok.com/@tmvtechmedical
- country: Vietnam
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 18709
- posts_total: 160
- posts_observed: 3
- verified: false
- size_tier: koc

## 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: lifestyle
- subcategory: beauty
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: 抗衰老与皮肤年轻化, HIFU/Ultherapy面部提升, 真实客户治疗反馈, 医美技术对比与选择

## Audience (inferred)
- status: present
- description: Vietnamese women aged 30-50 who are beauty-conscious and interested in anti-aging and medical aesthetics
- roles: consumer
- seniority: consumer
- pain_points: Don't know how to address facial skin sagging and aging, Worried about unnatural facial expressions or unsatisfactory results after cosmetic treatments, Lack of personalized anti-aging solutions and real user experiences, Skeptical about the effectiveness and safety of different anti-aging technologies, such as HIFU
- posts_analysed: 15
- confidence: 0.6

## Commercial (inferred)
- audience_buyer_fit: 0.3
- promotion_intent: 0.4
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 56
- authenticity_basis: profile_shape_only
- credibility_score: 56
- flagged_for_review: false
- koinon_bd_grade: C — 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
- [tiktok_tmvtechmedical#c8d1a0c1] SAI LẦM LỚN của nhiều chị em: chăm da nhiều năm nhưng gương mặt vẫn già vì không biết mình đang lão hóa ở cấp độ nào #vienthammytechmedical #xuhuonglamdep #xuhuong #thatcovidiem #Faceprime (https://www.tiktok.com/@tmvtechmedical)
- [tiktok_tmvtechmedical#3710724a] original sound - tmvtechmedical
- [tiktok_tmvtechmedical#5c403e5b] It is a becoming a big trend on TikTok now! Click here: vienthammytechmedical
- [tiktok_tmvtechmedical#69dc8268] Check out PHÒNG KHÁM THẨM MỸ TECHMEDICAL’s video! #TikTok >
- [tiktok_tmvtechmedical#0fca94ba] Thắt cơ vi điểm có làm mặt bị đơ, cười không tự nhiên?  👉🏻 Thắt cơ vi điểm ĐÚNG KỸ THUẬT sẽ KHÔNG gây đơ mặt #vienthammytechmedical #xuhuonglamdep #xuhuong #thatcovidiem #Faceprime
- [tiktok_tmvtechmedical#16c18dee] ✨ Da lão hóa, thiếu sức sống vì không biết đến điều này.  Chỉ sau 1 lần làm - thấy ngay kết quả > #vienthammytechmedical #xuhuonglamdep #xuhuong #thatcovidiem #Faceprime
- [tiktok_tmvtechmedical#7dcb8fa6] [LIVESTREAM] FEEDBACK THỰC TẾ KH SAU 1/2 TRẺ HÓA ĐA TẦNG TECH DEFINE #vienth

## 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=53, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=53, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=53, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=53, 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=53, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=99, 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=53, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — 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=99, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => 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=99, method=platform_profile

## Freshness
- profile_checked_days_ago: 99
- content_analysed_days_ago: 53
- audience_updated_days_ago: 53

## AI retrieval
- indexing_requests: 9
- 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=tiktok_tmvtechmedical
- Request removal: https://koinonlink.com/claim?k=tiktok_tmvtechmedical
- Terms: https://koinonlink.com/for-ai