# Mark Tilbury (@marktilbury) on x

- id: koinon:creator:x_marktilbury
- url: https://koinonlink.com/kol/x/marktilbury
- schema_version: 1.4

## Identity
- platform: x
- handle: marktilbury
- platform_url: https://twitter.com/marktilbury
- website: http://youtube.com/@marktilbury
- country: United Kingdom
- entity_type: creator
- person_id: koinon:person:tiktok_marktilbury

## Reach
- followers: 96824
- following: 32
- posts_total: 4029
- posts_observed: 1
- posts_per_day: 1.73
- account_age_days: 2329
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00033
- best_post_interactions: 32
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: dropship
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: e-commerce startup strategies, dropshipping for product validation, niche selection for online stores, low-risk product testing, platform selection for online selling
- bio: Self-Made Millionaire sharing money & success tips from my years of experience.

## Audience (inferred)
- status: present
- description: Aspiring e-commerce entrepreneurs, mainly solopreneurs and side-hustlers testing online product sales with low-risk models
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to find a profitable product niche with low upfront investment, Facing high failure rates in early product testing due to poor market fit, Lacking clear steps to validate product demand before scaling, Overwhelmed by the number of platforms (Shopify, Amazon, TikTok Shop) and unsure where to start
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 62
- authenticity_basis: engagement_observed
- credibility_score: 97
- flagged_for_review: false
- koinon_bd_grade: A — 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
- [x_marktilbury#3ffd08a1] 5. E-commerce Store Owner: $250k+ (https://twitter.com/marktilbury/status/2072685535831949467)
- [x_marktilbury#d9982166] Sell products online via Shopify, Amazon, or TikTok Shop.
- [x_marktilbury#b1372944] Pick a niche you actually understand.
- [x_marktilbury#3dd5292b] Then start with dropshipping to test products with zero inventory risk.
- [x_marktilbury#26826d5c] Most $100k+ owners took 2-3 tries before finding their winning product.

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, 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=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=111, 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=79, 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=111, 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=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 79
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 11
- 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=x_marktilbury
- Request removal: https://koinonlink.com/claim?k=x_marktilbury
- Terms: https://koinonlink.com/for-ai