# Lizz RN (@lizzthern) on tiktok

- id: koinon:creator:tiktok_lizzthern
- url: https://koinonlink.com/kol/tiktok/lizzthern
- schema_version: 1.4

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

## Reach
- followers: 26341
- following: 56
- posts_observed: 1
- 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 affiliate program, Affiliate tips and tricks, Transition from nursing to content creation, Product recommendations and reviews

## Audience (inferred)
- status: present
- description: Aspiring TikTok Shop affiliates, mainly side hustlers and nurses/healthcare workers looking to start affiliate content creation
- roles: content
- seniority: learner
- pain_points: Understanding how to join and succeed in TikTok Shop affiliate program, Handling negative comments and algorithm/FYP mismatches, Finding beginner-friendly tips for posting and product selection, Deciding whether to continue posting affiliate content
- posts_analysed: 17
- confidence: 0.6

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 49
- authenticity_basis: profile_shape_only
- credibility_score: 49
- 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_lizzthern#9a546736] From nursing to TikTok Shop affiliate #tiktokshopaffiliate #tiktokshopaffiliateprogram #nursestiktok #nursing (https://www.tiktok.com/@lizzthern)
- [tiktok_lizzthern#e625bd9c] original sound - lizzthern
- [tiktok_lizzthern#b1fbbb27] It is a becoming a big trend on TikTok now! Click here: tiktokshopaffiliate
- [tiktok_lizzthern#bddb3387] Check out Lizz RN’s video! #TikTok >
- [tiktok_lizzthern#c1dbb525] Let me know any other questions you might have #tiktokshopaffiliateprogram #tiktokshopaffiliate #ttstipsandtricks
- [tiktok_lizzthern#227c1d51] When I start seeing the nasty comments I already know I didn’t fall into the correct FYP’s 😭😭😭 #tiktokshopaffiliate #ttstipsandtricks
- [tiktok_lizzthern#47927e0b] original sound - shan_dabaddest
- [tiktok_lizzthern#d9d9bc49] Saxophones getting louder - Slowed

## 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=101, 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=101, 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=101, method=platform_profile

## Freshness
- profile_checked_days_ago: 101
- content_analysed_days_ago: 53
- audience_updated_days_ago: 53

## AI retrieval
- indexing_requests: 8
- 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_lizzthern
- Request removal: https://koinonlink.com/claim?k=tiktok_lizzthern
- Terms: https://koinonlink.com/for-ai