# Danielle Houston (@daniellehouston_) on tiktok

- id: koinon:creator:tiktok_daniellehouston_
- url: https://koinonlink.com/kol/tiktok/daniellehouston_
- schema_version: 1.4

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

## Reach
- followers: 49884
- following: 3856
- 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: 0.85
- category_source: derived_from_recent_content
- topics: TikTok Shop affiliate content strategy and hooks, Account audits and performance metrics, Sales conversion tactics for affiliates, Q3/Q4 planning and seasonal prep, Understanding brand/seller backend views
- bio: Founder of MyMetrics Lab 
Content strategy + conversion coaching
📍 AZ

## Audience (inferred)
- status: present
- description: TikTok Shop affiliates and creators focused on improving content, metrics, and sales conversions
- roles: sales
- seniority: practitioner
- pain_points: Stalled sales and low GMV despite posting, Information overload and policy confusion on TikTok Shop, Not understanding backend metrics that brands see, Struggling to create hooks and content that actually convert
- posts_analysed: 86
- confidence: 0.9

## 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: 53
- authenticity_basis: profile_shape_only
- credibility_score: 53
- 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_daniellehouston_#65ca545b] Replying to @Nina Alexander I did 103 TT shop affiliate account audits in the month of April. While I don’t think you need monthly audits or a community to be successful, I do believe that there are affiliates missing out on serious strategy because of the lack of 1. Understandin (https://www.tiktok.com/@daniellehouston_)

## 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=82, 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=82, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=82, 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=82, 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=82, 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=82, method=platform_profile

## Freshness
- profile_checked_days_ago: 82
- content_analysed_days_ago: 82
- audience_updated_days_ago: 82

## AI retrieval
- indexing_requests: 10
- 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_daniellehouston_
- Request removal: https://koinonlink.com/claim?k=tiktok_daniellehouston_
- Terms: https://koinonlink.com/for-ai