# wetracked.io (@wetracked) on x

- id: koinon:creator:x_wetracked
- url: https://koinonlink.com/kol/x/wetracked
- schema_version: 1.4

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

## Reach
- followers: 1242
- following: 1123
- posts_total: 1547
- posts_observed: 17
- posts_per_day: 1.127
- account_age_days: 1373
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.02415
- best_post_interactions: 30
- 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: 0.95
- category_source: derived_from_recent_content
- topics: AI-powered ad tracking, Shopify store optimization, A/B testing with simulation, Conversion rate improvement, No-code analytics tools, Customer behavior simulation
- bio: The #1 Highest Rated Ad Tracking Software for Ecommerce. Raise your ROAS by 50% in just a matter of 1 week. No-code. No extra dashboards. Just real results.

## Audience (inferred)
- status: present
- description: Ecommerce operators and digital marketers using Shopify, focused on optimizing ad performance and conversion through AI-powered testing and tracking
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to measure real impact of ad campaigns due to inaccurate or delayed tracking, Finding it hard to test new store changes without risking real revenue, Lacking accessible tools to simulate customer behavior before launching changes
- posts_analysed: 2
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 1
- promotion_intent: 1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 53
- authenticity_basis: engagement_observed
- credibility_score: 53
- 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_wetracked#8c658806] Shopify built an AI flight simulator for ecommerce stores. It is called SimGym. Before changing your real store, you can let simulated shoppers experience the new version first. You could test: - A different theme - A redesigned product page - New recommendations - A changed cust (https://twitter.com/wetracked/status/2065408469688369567)
- [x_wetracked#b379a13e] ChatGPT can now help people discover and buy products from Sho

## 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=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=111, 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=111, 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=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 80
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 8
- 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_wetracked
- Request removal: https://koinonlink.com/claim?k=x_wetracked
- Terms: https://koinonlink.com/for-ai