# Jad Kiwan (@ecom_jad) on x

- id: koinon:creator:x_ecom_jad
- url: https://koinonlink.com/kol/x/ecom_jad
- schema_version: 1.4

## Identity
- platform: x
- handle: ecom_jad
- platform_url: https://twitter.com/ecom_jad
- website: https://www.ecomswap.io/
- country: United Arab Emirates
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1699
- following: 333
- posts_total: 1140
- posts_observed: 1
- posts_per_day: 0.272
- account_age_days: 4196
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00589
- best_post_interactions: 10
- 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: ecom_ads
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: e-commerce brand scaling, exit strategy and M&A, valuation and financial decision-making in e-commerce, Shopify store growth milestones
- bio: 💰Sold 100+ ecom brands @ecomswap

## Audience (inferred)
- status: present
- description: e-commerce founders and early-stage brand owners in health & wellness, primarily focused on scaling and exit strategy
- roles: ecom_ops
- seniority: decision_maker
- pain_points: Struggling to scale beyond initial traction, Fear of making high-stakes business decisions that could lead to massive financial loss, Uncertainty around valuation and exit timing
- posts_analysed: 2
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 68
- authenticity_basis: engagement_observed
- credibility_score: 68
- 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_ecom_jad#b8ea5b66] Do you remember your first Shopify Sale? The first sale I ever did in ecom I knew there was no going back. Why not $100k more? Why not $500m more? It's very tough to match that dopamine hit. (https://twitter.com/ecom_jad/status/2072400871045136804)
- [x_ecom_jad#80425b1f] Here is how a brand lost $6m+ with one wrong decision. Last Q4 we had a cash offer on a 2 year old Health and wellness brand at 3x the EBITDA - they were doing close to $2.5m/year in EBITDA (Around $1m - $1.5m rev a month). They refused as they were scaling and wanted at least 4x

## 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=78, 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=78, 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=78, 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: 78
- 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_ecom_jad
- Request removal: https://koinonlink.com/claim?k=x_ecom_jad
- Terms: https://koinonlink.com/for-ai