# Taylor Rose ✨ (@thehealthyhur) on tiktok

- id: koinon:creator:tiktok_thehealthyhur
- url: https://koinonlink.com/kol/tiktok/thehealthyhur
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: thehealthyhur
- platform_url: https://www.tiktok.com/@thehealthyhur
- website: https://pillar.io/thehealthyhur?utm_source=ig&utm_medium=social&utm_content=link_in_bio&fbclid=PAdGRleAOUIyNleHRuA2FlbQIxMQBzcnRjBmFwcF9pZA8xMjQwMjQ1NzQyODc0MTQAAafKClO2DB7Sa3eCNsxVesx_MZY5TWb13-_XrjK
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 972311
- following: 1670
- posts_observed: 2
- verified: false
- size_tier: kol

## Engagement
- status: average_measured
- engagement_rate: 0.01594
- engagement_rate_basis: average_interactions_per_view
- posts_in_average: 10
- avg_interactions_per_post: 57
- best_post_interactions: 144
- 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: software
- subcategory: ai_tools
- category_confidence: 0.95
- category_source: derived_from_discovery_path
- topics: Types and triggers of hair loss (telogen effluvium, FPHL, al, Nutritional factors (ferritin/iron, vitamin D, protein), Scalp environment, inflammation and hard water effects, Red light therapy and evidence-based treatments, Stress, sleep and gut-hair connections, Trichologist perspective on follicle health and realistic ti
- bio: Hair loss & regrowth - explained simply ✨
IAT Certified Trichologist 🌿
Women's hair health educator 👩‍🏫

## Audience (inferred)
- status: present
- description: Women experiencing hair thinning, shedding or loss who want to understand root causes rather than guess with products
- roles: consumer
- seniority: consumer
- pain_points: Not knowing why hair is suddenly shedding (stress, ferritin, hormones, postpartum, etc.), Trying multiple products with no results because the trigger is unidentified, Feeling alone, panicked or losing confidence from visible hair changes, Overwhelm from conflicting advice and marketing claims about hair regrowth
- posts_analysed: 100
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.4
- promotion_intent: 0.2
- 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.

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=82, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=82, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=82, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=n/a, 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=n/a, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=71, 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=71, 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=71, 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=71, method=platform_profile

## Freshness
- profile_checked_days_ago: 71
- audience_updated_days_ago: 82

## AI retrieval
- indexing_requests: 7
- 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_thehealthyhur
- Request removal: https://koinonlink.com/claim?k=tiktok_thehealthyhur
- Terms: https://koinonlink.com/for-ai