# Shann³ (@shannholmberg) on x

- id: koinon:creator:x_shannholmberg
- url: https://koinonlink.com/kol/x/shannholmberg
- schema_version: 1.4

## Identity
- platform: x
- handle: shannholmberg
- platform_url: https://twitter.com/shannholmberg
- website: http://t.me/lunarshann
- country: Portugal
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 32685
- following: 12685
- posts_total: 10530
- posts_observed: 21
- posts_per_day: 5.805
- account_age_days: 1814
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00578
- best_post_interactions: 189
- 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: software
- subcategory: ai_tools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: AI marketing frameworks for e-commerce, Data integration for AI agents, Knowledge layers and curation practices, E-commerce growth with AI
- bio: I cover AI marketing & growth. Sharing every framework as I build it. 

Founder @espressioai, @lunarstrategy

## Audience (inferred)
- status: present
- description: E-commerce marketers and growth operators building AI agents and data systems for brands
- roles: ecom_ops
- seniority: practitioner
- pain_points: Scattered e-commerce data preventing effective AI use, AI outputs failing to match brand voice or customer context, Lack of structured, searchable knowledge layers before deploying agents, Poor data curation leading to low-quality AI results
- posts_analysed: 4
- 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: 83
- authenticity_basis: engagement_observed
- credibility_score: 83
- 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_shannholmberg#20f71282] the marketing knowledge layer for e-commerce (https://twitter.com/shannholmberg/status/2046524024273121399)
- [x_shannholmberg#6ce359d8] for an e-commerce brand, the highest leverage move with AI is getting all your data into one place your agents can use.
- [x_shannholmberg#a3e9a559] structured, searchable, loaded before anything gets generated. your agents only produce output as good as what's in there.
- [x_shannholmberg#355e6ab4] the curation matters as much as the collection. what goes in needs to match your brand, your customer, and th

## 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=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, 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=108, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 79
- audience_updated_days_ago: 67

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