# Eli Weiss (@eliweisss) on x

- id: koinon:creator:x_eliweisss
- url: https://koinonlink.com/kol/x/eliweisss
- schema_version: 1.4

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

## Reach
- followers: 33444
- following: 496
- posts_total: 31421
- posts_observed: 15
- posts_per_day: 5.541
- account_age_days: 5671
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00036
- best_post_interactions: 12
- 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: 0.88
- category_source: derived_from_recent_content
- topics: AI agents for e-commerce operations, Churn analysis and customer retention, Data integration across e-commerce tools, High-leverage business problems, Automating insights with AI tools
- bio: VP Advocacy @Yotpo. Ex @jonesroadbeauty and @drinkOLIPOP. 39 countries and counting.

## Audience (inferred)
- status: present
- description: E-commerce operators and growth leads at mid-to-large brands, especially those struggling with churn analysis and data integration
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to identify the root causes of customer churn due to fragmented data across tools, Spending too much time on manual data extraction and analysis instead of acting on insights, Lacking a clear, high-leverage problem to focus on amid competing priorities, Overwhelmed by the complexity of connecting data from platforms like Recharge, Gorgias, and Yotpo
- posts_analysed: 6
- 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: 54
- authenticity_basis: engagement_observed
- credibility_score: 89
- flagged_for_review: false
- koinon_bd_grade: B — 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_eliweisss#3a0eb79a] Can an AI agent run your ecom business? (https://twitter.com/eliweisss/status/2056741064417923351)
- [x_eliweisss#16b95e61] Wrong question.
- [x_eliweisss#eaa64ca0] The right one: what's the highest-leverage problem at my company that I keep punting because the analysis would take a quarter?
- [x_eliweisss#254d3c96] For every retention lead I know, it's some version of: why is our churn higher than it should be?
- [x_eliweisss#9986e7b0] I typed it into Hyperagent. 5 minutes later:
- [x_eliweisss#a00968fc] → 90 days of churn signal pulled from Recharge, Gorgias, Yotpo, Kla

## 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=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: 20

## AI retrieval
- indexing_requests: 10
- 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_eliweisss
- Request removal: https://koinonlink.com/claim?k=x_eliweisss
- Terms: https://koinonlink.com/for-ai