# TikTok Shop Academy (@tiktokshopacademy) on tiktok

- id: koinon:creator:tiktok_tiktokshopacademy
- url: https://koinonlink.com/kol/tiktok/tiktokshopacademy
- schema_version: 1.3

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

## Reach
- followers: 61777
- following: 5
- 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: ecommerce
- subcategory: ecom_ads
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: TikTok Shop performance metrics (OTDR, VTR, PPS, ISRR), Account health, violations and appeals, Product compliance and prohibited/restricted items, Order fulfillment process and bottlenecks, Content and pricing accuracy rules, Review management and malicious review tools

## Audience (inferred)
- status: present
- description: TikTok Shop sellers and merchants handling daily shop operations, compliance, and performance metrics
- roles: ecom_ops
- seniority: practitioner
- pain_points: Keeping Seller-Fault Cancellation Rate and other metrics below thresholds to avoid losing Top Seller status, Fixing account health violations and successfully appealing penalties, Meeting strict compliance and documentation requirements for restricted categories like kids products, food, supplements, Avoiding listing removals due to inaccurate claims, pricing, or prohibited content in videos and PDPs
- 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: 54
- authenticity_basis: profile_shape_only
- credibility_score: 54
- 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_tiktokshopacademy#d713d58b] Ever had a buyer leave a malicious review just to get free stuff? Or a competitor attack your shop with fake 1-star ratings?  TikTok's Seller Review Report Tool lets you fight back. You can report multiple malicious reviews, coercive extortion, and competitor attacks.  Just go to (https://www.tiktok.com/@tiktokshopacademy)
- [tiktok_tiktokshopacademy#3e33e4dc] original sound - tiktokshopacademy
- [tiktok_tiktokshopacademy#7013e7d7] It is a becoming a big trend on TikTok now! Click here: tiktokseller
- [tiktok_tiktokshopacademy#16a8c5b5] Check out TikTok Shop Academy’s video! #TikTok >
- [tiktok_tiktokshopacademy#d114d57a] How fast are your orders arriving? Your On-Time Delivery Rate (OTDR) shows how reliably you deliver. Learn how to track it and keep your shop performa

## 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=23, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=23, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=23, 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=4, 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=4, 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=4, method=platform_profile

## Freshness
- profile_checked_days_ago: 4
- content_analysed_days_ago: 0
- audience_updated_days_ago: 23

## 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_tiktokshopacademy
- Request removal: https://koinonlink.com/claim?k=tiktok_tiktokshopacademy
- Terms: https://koinonlink.com/for-ai