# Henry (@HenryCrochemore) on x

- id: koinon:creator:x_henrycrochemore
- url: https://koinonlink.com/kol/x/HenryCrochemore
- schema_version: 1.4

## Identity
- platform: x
- handle: HenryCrochemore
- platform_url: https://twitter.com/HenryCrochemore
- website: https://www.gethookd.ai/?sl=henryecomlib
- entity_type: creator
- person_id: koinon:person:x_zednilm1

## Reach
- followers: 8626
- following: 56
- posts_total: 1901
- posts_observed: 21
- posts_per_day: 3.58
- account_age_days: 531
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01808
- best_post_interactions: 156
- 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: 0.9
- category_source: derived_from_recent_content
- topics: ad creative angle optimization, scaling ad performance over time, buyer expansion for proven offers, high-impact ad patterns like Review Wall, leveraging proven offers for growth
- bio: ecom guy scaling brands to $5M+/month

## Audience (inferred)
- status: present
- description: ecommerce operators and growth marketers scaling brands to $5M+/month, focused on high-leverage ad strategies and buyer expansion
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to turn decent ads into long-running, scalable campaigns, Finding it hard to identify and reach new buyer segments for existing offers, Over-relying on creating new offers instead of optimizing proven ones
- posts_analysed: 3
- 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: 74
- authenticity_basis: engagement_observed
- credibility_score: 74
- 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_henrycrochemore#225ceeb9] the difference between a decent ad and one that scales for months is usually the angle average ads explain what the product does great ads show what happens if the customer ignores the problem they make a small risk feel urgent, turn the consequence into the hook, then position t (https://twitter.com/HenryCrochemore/status/2072783697221431644)
- [x_henrycrochemore#beef1545] One of the safest ways to grow is often finding new buyers for a proven offer instead of inventing a new one.
- [x_henrycrochemore#3743da63] This ad is running the Review Wall pattern. The diamond was a $200M ad campaign, not a rare gemstone. Plantar fasciitis affects roughly 2 million Americans a year and cortisone injections run $150 to $300 per shot with 3 to 6 week duration. Orthotics and physi

## 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=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=21, 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=112, 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=112, 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=112, method=platform_profile

## Freshness
- profile_checked_days_ago: 112
- content_analysed_days_ago: 79
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 16
- 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_henrycrochemore
- Request removal: https://koinonlink.com/claim?k=x_henrycrochemore
- Terms: https://koinonlink.com/for-ai