# scaled (@ecomdiddy) on x

- id: koinon:creator:x_ecomdiddy
- url: https://koinonlink.com/kol/x/ecomdiddy
- schema_version: 1.4

## Identity
- platform: x
- handle: ecomdiddy
- platform_url: https://twitter.com/ecomdiddy
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3887
- following: 83
- posts_total: 476
- posts_observed: 10
- posts_per_day: 1.293
- account_age_days: 368
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01466
- best_post_interactions: 57
- 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: 0.94
- category_source: derived_from_recent_content
- topics: Landing page conversion optimization, High-performance e-commerce sales strategies, Daily revenue scaling, Psychological hooks in ad-to-landing page flow
- bio: 8 figs with ecom | Dm me "Mentor" to work 1-1

## Audience (inferred)
- status: present
- description: e-commerce founders and operators scaling stores, primarily focused on conversion rate optimization and high-performance landing pages
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to convert visitors on landing pages within the first 5 seconds, Frustrated by inconsistent daily revenue despite high ad spend, Overwhelmed by not knowing the real drivers behind top-performing sales days, Unable to replicate success without clear, repeatable systems
- posts_analysed: 3
- 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: 67
- authenticity_basis: engagement_observed
- credibility_score: 67
- 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_ecomdiddy#4ffa5503] most stores lose the sale in the first 5 seconds of the landing page here’s how to fix it tonight take the exact hook from your best performing ad and make it the headline on your lander same words. same emotion. same promise. your customer clicked because that hook spoke to them (https://twitter.com/ecomdiddy/status/2031797687637721229)
- [x_ecomdiddy#44f6427a] $145k and this was a bad day that’s the goal make your worst days look like someone else’s best month https://t.co/RSdWl8uLOd
- [x_ecomdiddy#54c6b2d4] $163k today nobody talks about what actually builds days like this it’s not the budget it’s not the product it’s not even the ads it’s finding every single human reason someone would hand over money for what you’re selling different f

## 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=22, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=22, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=22, 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=109, 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=109, 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=109, method=platform_profile

## Freshness
- profile_checked_days_ago: 109
- content_analysed_days_ago: 79
- audience_updated_days_ago: 22

## 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_ecomdiddy
- Request removal: https://koinonlink.com/claim?k=x_ecomdiddy
- Terms: https://koinonlink.com/for-ai