# eCommerce Tech (@EcommerceTech) on youtube

- id: koinon:creator:youtube_ecommercetech
- url: https://koinonlink.com/kol/youtube/EcommerceTech
- schema_version: 1.4

## Identity
- platform: youtube
- handle: EcommerceTech
- platform_url: https://www.youtube.com/@EcommerceTech
- country: United States
- entity_type: creator
- person_id: koinon:person:linkedin_ecommercetech

## Reach
- followers: 1880
- posts_observed: 45
- 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: ecom_ads
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: eCommerce growth & profit strategies, AI & automation in eCom, Tech stack optimization, Peak season & Black Friday success, Conversion rate optimization, TikTok Shop & social commerce
- bio: At eCommerce Tech we're all about helping you build your eCommerce tech stack. Whether you sell on Shopify, WooCommerce, ...

## Audience (inferred)
- status: present
- description: eCommerce operators and store owners running Shopify/WooCommerce businesses, focused on tech stack, growth and peak performance
- roles: ecom_ops
- seniority: practitioner
- pain_points: Tech stack bloat hurting profits and scalability, Struggling to hit growth targets during peak seasons like Black Friday, Low website conversion rates despite traffic, High return rates eroding margins and operational efficiency
- posts_analysed: 8
- confidence: 0.4

## 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_ecommercetech#d7c26a31] How to Grow Sales & Profits: Promotions, Personalization and more | an eCommerce Explored Panel (https://www.youtube.com/@EcommerceTech)
- [youtube_ecommercetech#6f799947] eCommerce Success... What's REALLY going to move the needle in 2026? | an eCommerce Explored Panel
- [youtube_ecommercetech#5af52ce9] Winning Peak Profits = AI & Automation | an eCommerce Explored Panel | eCommerce Tech
- [youtube_ecommercetech#0f9ddcac] Black Friday & Peak Success 2025 | an eCommerce Explored Panel | eCommerce Tech
- [youtube_ecommercetech#e2b158c8] Returns and Recommerce for the Win - Using Sustainability for Growth | an eCommerce Explored Panel
- [youtube_ecommercetech#950ef0a6] Tech Stack Optimisation - How to do it for Growth and Profits | an eCommerce Explored Panel
- [youtube_ecommercetech#17001a57] How to Increase Your Website Conversion Rates - the 2025 Approach
- [youtube_ecommercetech#6bfa8732] TikTok & TikTok Shop Strategies for eCommerce Sales Growth 2025 | an eCommerce Explored Panel

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=78, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=78, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=78, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=84, 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=84, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=97, 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=84, 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=97, 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=97, method=platform_profile

## Freshness
- profile_checked_days_ago: 97
- content_analysed_days_ago: 84
- audience_updated_days_ago: 78

## AI retrieval
- indexing_requests: 12
- 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_ecommercetech
- Request removal: https://koinonlink.com/claim?k=youtube_ecommercetech
- Terms: https://koinonlink.com/for-ai