# Chur Lim (@ChurrLimm) on x

- id: koinon:creator:x_churrlimm
- url: https://koinonlink.com/kol/x/ChurrLimm
- schema_version: 1.4

## Identity
- platform: x
- handle: ChurrLimm
- platform_url: https://twitter.com/ChurrLimm
- website: https://calendly.com/enabl-ecom/30min?month=2023-10
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 4489
- following: 256
- posts_total: 28671
- posts_observed: 7
- posts_per_day: 25.783
- account_age_days: 1112
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00557
- best_post_interactions: 25
- 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: Google Ads tips for ecom, Facebook Ads best practices, Shopping feed optimization, Attribution and tracking setup, Landing page testing
- bio: $30M+ In Results | Facebook & Google Ads With ad content For eCommerce & service based brands | https://t.co/oXBEghZjjI

## Audience (inferred)
- status: present
- description: Facebook & Google Ads practitioners running campaigns for eCommerce and service-based brands
- roles: ads
- seniority: practitioner
- pain_points: GA4 conversion tracking underperforming for ecom stores, Shopping feed optimization and testing challenges, Inaccurate attribution leading to poor budget decisions, Low landing page conversion rates despite ad spend
- posts_analysed: 3
- 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: 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_churrlimm#881eab24] Team is cooking with these new statics https://t.co/xSwU9uRCjY (https://twitter.com/ChurrLimm/status/1853663581587615940)
- [x_churrlimm#34846138] 7 top Google ad tips in 1 minute 1. Avoid GA4 conversion tracking for ecom 2. Shopping ads are king for ecom. Test feeds 3. Add competitor names in feed titles to rank on their keywords 4. Create landing pages to match keyword intent 5. Branded spend should be <10% of account spe
- [x_churrlimm#65723e2e] 8 important tips from 5 years of running Facebook ads condensed into a minute long video. 1. Turn off 1DV 2. Run incremental attribution 3. Landing page testing = creative testing 4. Aim for an incrementaljty rate >60% 5. If you do over 7 figs a year, ROAS no longer becomes a cor

## 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=78, 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=78, 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=78, 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: 78
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 13
- 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_churrlimm
- Request removal: https://koinonlink.com/claim?k=x_churrlimm
- Terms: https://koinonlink.com/for-ai