# 짤컷 (@jjalcut) on tiktok

- id: koinon:creator:tiktok_jjalcut
- url: https://koinonlink.com/kol/tiktok/jjalcut
- schema_version: 1.4

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

## Reach
- followers: 746672
- following: 60
- posts_observed: 1
- verified: false
- size_tier: kol

## Engagement
- status: average_measured
- engagement_rate: 0.03381
- engagement_rate_basis: average_interactions_per_view
- posts_in_average: 9
- avg_interactions_per_post: 8716
- best_post_interactions: 36894
- measurement_source: tiktok_posts_mean
- measurement_formula: digg + comment + share, mean over observed posts, divided by the mean play count of those same posts — on TikTok the algorithmic feed decides reach, so followers are not the denominator that describes what share of an audience engaged
- comparable_pool: view_based_interactions
- status_note: engagement_rate is a MEAN over the posts we observed (posts_in_average says how many).
- 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: home_living
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: 생활 꿀팁, 다이소·마트·코스트코 추천·활용법, 일본 여행 팁, 컴퓨터·앱 숨겨진 기능, 공짜·절약 정보
- bio: 비즈니스문의: [contact removed]

## Audience (inferred)
- status: present
- description: General consumers in Korea, primarily 20-40 year olds seeking life hacks, shopping tips, and travel information, highly budget-conscious
- roles: consumer
- seniority: consumer
- pain_points: Missing hidden value products at stores like Daiso or Costco, Wasting money and time on inefficient travel routes and bookings when visiting Japan, Suffering time and money losses due to unknown hidden features in computers, apps, and daily routines, Failing to prevent personal data breaches or unnecessary spending in advance
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.2
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: engagement_observed
- credibility_score: 58
- 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_jjalcut#6cb94339] 와.. 다이소에선 3초면 끝납니다ㄷㄷ; #꿀팁 #다이소 #추천 #꿀템 / original sound - jjalcut / 목도리, 넥타이, 허리띠 이쁘게 묶는법을 알려주세요! (https://www.tiktok.com/@jjalcut)
- [tiktok_jjalcut#f897a58a] 목도리이쁘게 묶는법 알아? 알려주라 ㅠㅠ
- [tiktok_jjalcut#a70cdd2e] 넥타이 묶어봤어? 어떻게 묶지... 고민고민하지마! 틱톡에서 배울 수 있다구!
- [tiktok_jjalcut#f8d2af05] 내가 아는 방법을 가르쳐줘도 좋고!
- [tiktok_jjalcut#87a965ff] 듀엣을 해도좋아요! / It is a becoming a big trend on TikTok now! Click here: 꿀팁 / Check out 짤컷’s video! #TikTok > / 컴퓨터 고수도 모르는 숨겨진 기능ㄷㄷ #꿀팁 #컴퓨터 #기능 / Search: / 상위 1% 천재들만 아는 음료수 꿀팁 #꿀팁 #생활꿀팁 #음료수 / 일본여행 고수들은 전부 이렇게 합니다ㄷㄷ #꿀팁 #여행 #일본 / Japanese Travel / 솔직히 일본 돈키호테만 가면 손해입니다.. #꿀팁 #여행 #

## 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=62, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=62, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=62, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=62, 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=62, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=62, 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=62, 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=62, 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=62, method=platform_profile

## Freshness
- profile_checked_days_ago: 62
- content_analysed_days_ago: 62
- audience_updated_days_ago: 62

## AI retrieval
- indexing_requests: 11
- 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_jjalcut
- Request removal: https://koinonlink.com/claim?k=tiktok_jjalcut
- Terms: https://koinonlink.com/for-ai