# Supply Chain Lara (@SupplyChainLara) on youtube

- id: koinon:creator:youtube_supplychainlara
- url: https://koinonlink.com/kol/youtube/SupplyChainLara
- schema_version: 1.4

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

## Reach
- followers: 1890
- 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: supply
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Landed cost tracking and updates, Pricing strategy and contribution margin, Tariffs and supplier terms, Marketing-ops alignment meetings, Margin reviews and cash vs profit problems
- bio: Running a DTC brand isn't easy, especially when supply chains get messy. That's why I started this channel: to share practical, ...

## Audience (inferred)
- status: present
- description: DTC brand founders and operators handling supply chain, landed costs, pricing, and margins
- roles: ecom_ops
- seniority: decision_maker
- pain_points: Landed cost numbers not matching actuals or changing frequently, Tariff/import cost swings destroying planned margins, Marketing and ops misalignment on pricing decisions, Cash flow squeezes from cost increases without clear next steps
- 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: 35
- authenticity_basis: profile_shape_only
- credibility_score: 35
- 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
- [youtube_supplychainlara#3af599a4] I Built an Alignment Meeting for a Client — and Watched It Fail #pricingstrategy #shortvideo #short (https://www.youtube.com/@SupplyChainLara)
- [youtube_supplychainlara#2afebefc] Won't Talking About Price Increases Scare Customers Off? #pricingstrategy #shorts #shortvideo
- [youtube_supplychainlara#659fb5a0] Margin Based Marketing Decisions
- [youtube_supplychainlara#80987167] The Weekly Margin Review Doesn't Work the Way I Said #supplychain  #shorts #shortvideo
- [youtube_supplychainlara#18460df9] The One 15-Minute Meeting That Aligns Marketing and Ops #ContributionMargin #DTCFounders #shorts
- [youtube_supplychainlara#fb1ae57e] Landed Cost Is Just A Snapshot
- [youtube_supplychainlara#8b9e3f71] That's Not a Marketing Problem, That's a Plumbing Problem #supplychain #dtcfounders #shorts
- [youtube_supplychainlara#cb5ad70f] Marketing Math Mistake That Destroys Profit

## 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=53, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=53, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, 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=53, 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=53, 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=53, method=platform_profile

## Freshness
- profile_checked_days_ago: 53
- 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=youtube_supplychainlara
- Request removal: https://koinonlink.com/claim?k=youtube_supplychainlara
- Terms: https://koinonlink.com/for-ai