# Ludovic | E-Patron Academy (@epatron_academy) on tiktok

- id: koinon:creator:tiktok_epatron_academy
- url: https://koinonlink.com/kol/tiktok/epatron_academy
- schema_version: 1.3

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

## Reach
- followers: 3402
- following: 452
- posts_observed: 1
- verified: false
- 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: 0.95
- category_source: derived_from_recent_content
- topics: cross-border e-commerce logistics (FCL/LCL, import complianc, platform-specific strategies (TikTok Shop, Amazon, Shopify), AI tools for product sourcing and market validation, legal and financial risks in e-commerce (contracts, solvency, scaling with low-risk testing before bulk inventory, compliance with EU regulations (GPSR, REP, payment laws)

## Audience (inferred)
- status: present
- description: e-commerce entrepreneurs and aspiring sellers, mainly focusing on cross-border selling from China to EU/US markets, with a strong emphasis on logistics, compliance, and scaling through platforms like TikTok Shop and Amazon
- roles: ecom_ops
- seniority: practitioner
- pain_points: facing unexpected import costs due to incorrect HS-Codes, struggling with compliance regulations like GPSR and REP identifiers, overpaying or losing money due to poor supplier vetting or product validation before bulk ordering, confused by rapidly changing payment regulations (e.g., 3x without fees becoming credit-like)
- posts_analysed: 40
- confidence: 0.75

## 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: 37
- authenticity_basis: profile_shape_only
- credibility_score: 37
- 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_epatron_academy#f94e952b] 5K, 10K ou 15K pour démarrer en e-commerce ? Le budget dépend surtout de ce que tu veux valider avant de te lancer : produit, stock, marge, acquisition. Vidéo complète + checklist : lien en bio. #ecommerce #businessenligne #entrepreneuriat #shopify #amazonfba #epatron (https://www.tiktok.com/@epatron_academy)
- [tiktok_epatron_academy#e6061a76] original sound - epatron_academy
- [tiktok_epatron_academy#910d826f] Check out Ludovic | E-Patron Academy’s video! #TikTok >
- [tiktok_epatron_academy#32e912d3] ❌ Ne laissez pas un mauvais HS-Code doubler vos coûts ! Vérifiez chaque étape de votre importation pour maîtriser votre budget ! 💸 👉 Masterclass gratuite, lien dans la bio ! #Ecommerce, #BusinessEnLigne, #Dropshipping, #ConseilsBusiness, #RevenusPassifs
- [tiktok_epatron_academy#2de893cf] It is a becoming a big trend on TikTok now! Click here: ecommerce
- [tiktok_epatron_academy#80a72770] FCL vs LCL ? C’est une question d’espace et de coût ! 📦 Découvrez ce qui vous correspond pour importer depuis

## 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=15, 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=15, 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=15, method=platform_profile

## Freshness
- profile_checked_days_ago: 15
- 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_epatron_academy
- Request removal: https://koinonlink.com/claim?k=tiktok_epatron_academy
- Terms: https://koinonlink.com/for-ai