# Jason Greenwood 🎙 (@MR_B2B_ECOMM) on x

- id: koinon:creator:x_mr_b2b_ecomm
- url: https://koinonlink.com/kol/x/MR_B2B_ECOMM
- schema_version: 1.4

## Identity
- platform: x
- handle: MR_B2B_ECOMM
- platform_url: https://twitter.com/MR_B2B_ECOMM
- website: https://linktr.ee/Jagnz
- country: Mexico
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 822
- following: 1118
- posts_total: 1884
- posts_observed: 3
- posts_per_day: 0.479
- account_age_days: 3937
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00122
- best_post_interactions: 1
- 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: saas
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: B2B eCommerce strategies, AI automation in marketing teams, Industry conferences and awards, Ecommerce podcast insights
- bio: 📦Helping the B2B eCommerce Industry EXCEL w/ Strategic Consulting & Expertise |🎙️THE ECOMMERCE EDGE Podcast Host: 675+ Episodes! | 34k+ on LinkedIn

## Audience (inferred)
- status: present
- description: B2B e-commerce professionals, mainly brand marketing teams and operations leads
- roles: ecom_ops
- seniority: practitioner
- pain_points: Marketing teams struggle to quickly adopt AI-powered tools for growth, Lack of strategic consulting and industry insights tailored to B2B e-commerce, Need to constantly track industry events and best practices to stay competitive
- posts_analysed: 2
- 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: 47
- authenticity_basis: engagement_observed
- credibility_score: 47
- 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_mr_b2b_ecomm#126e976e] 😎 Who says B2B eCommerce peeps don't know how to party?!?! 🥂 After 2 days of sessions at the B2B eCommerce World APAC conference, the B2B Awards night and Gala in Melbourne this week is where we all finally let our hair down. So many well deserved awards for teams and individua (https://twitter.com/MR_B2B_ECOMM/status/2070924495175524753)
- [x_mr_b2b_ecomm#10385e71] ⚙️ The future of marketing teams is being reshaped by AI automation! Brands are seeing incredible growth by leveraging AI tools that can essentially run marketing operations autonomously. One eCommerce fitness brand, initially at $100K revenue, has transformed in just six months,

## 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=80, 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=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=115, 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=80, 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=115, 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=115, method=platform_profile

## Freshness
- profile_checked_days_ago: 115
- content_analysed_days_ago: 80
- 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_mr_b2b_ecomm
- Request removal: https://koinonlink.com/claim?k=x_mr_b2b_ecomm
- Terms: https://koinonlink.com/for-ai