# Yamil Kahatt (@yamilkahatt) on tiktok

- id: koinon:creator:tiktok_yamilkahatt
- url: https://koinonlink.com/kol/tiktok/yamilkahatt
- schema_version: 1.3

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

## Reach
- followers: 92713
- following: 103
- posts_observed: 9
- 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: ecommerce
- subcategory: dropship
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Dropshipping fundamentals, E-commerce product selection, Digital marketing for e-commerce, Scaling online stores with ads, Building a profitable e-commerce business from scratch, Using AI in e-commerce operations

## Audience (inferred)
- status: present
- description: Aspiring and early-stage e-commerce entrepreneurs, mainly focused on dropshipping and online selling, with an emphasis on practical execution and scaling via digital marketing
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to find products with real demand instead of just 'pretty' ones, Having difficulty scaling ad performance without constant manual tweaking, Not knowing how to structure their business or team effectively for growth, Failing to convert leads due to weak messaging or poor funnel design
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 57
- authenticity_basis: profile_shape_only
- credibility_score: 57
- flagged_for_review: false
- koinon_bd_grade: B — 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_yamilkahatt#5a68ec1f] Toca Cambiar de producto o aun no? #ecommerce #dropshipping #marketingdigital #ecommercetips (https://www.tiktok.com/@yamilkahatt)
- [tiktok_yamilkahatt#c5e8d07c] original sound - yamilkahatt
- [tiktok_yamilkahatt#2de893cf] It is a becoming a big trend on TikTok now! Click here: ecommerce
- [tiktok_yamilkahatt#1c0197c9] Check out Yamil Kahatt’s video! #TikTok >
- [tiktok_yamilkahatt#e47a7a15] Comenta mas abajo como aplicarias esto a tu producto #ecommerce #dropshipping #negociosporinternet #marketingdigital #moneytips
- [tiktok_yamilkahatt#6b7e645e] Search:
- [tiktok_yamilkahatt#4dc4ddf0] digital marketing dropshipping
- [tiktok_yamilkahatt#7c1707ec] El error mas común que evita que las personas logren tener éxito con el Ecommerce y como evitarlo para ser parte del porcentaje que logra tener exito! #ecommerce #dropshipping #ventasonline #negociosporinternet #marketingdigital

## 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=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=12, 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=0, 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=12, 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=12, method=platform_profile

## Freshness
- profile_checked_days_ago: 12
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## AI retrieval
- indexing_requests: 1
- 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_yamilkahatt
- Request removal: https://koinonlink.com/claim?k=tiktok_yamilkahatt
- Terms: https://koinonlink.com/for-ai