# Liam O'Neill (@LiamMarketing) on youtube

- id: koinon:creator:youtube_liammarketing
- url: https://koinonlink.com/kol/youtube/LiamMarketing
- schema_version: 1.3

## Identity
- platform: youtube
- handle: LiamMarketing
- platform_url: https://www.youtube.com/@LiamMarketing
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2910
- posts_observed: 159
- verified: false
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: martech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Facebook广告优化与问题排查, SMMA获客与机构运营, UGC内容制作与广告应用, 媒体购买成本与结果分析, Meta广告平台更新与策略调整
- bio: Here to help you with your Facebook & Instagram advertising efforts. About Me: I'm a Facebook marketing specialist & founder of ...

## Audience (inferred)
- status: present
- description: Facebook ad practitioners and SMMA (social media marketing agency) operators, mainly small to medium advertisers, media buyers, and executors looking to acquire ad clients
- roles: ads
- seniority: practitioner
- pain_points: SMMA clients are hard to acquire, unsure how to consistently land ad accounts, Facebook ad performance is unstable, costs are rising, and targeting features have been removed, Don’t know how to create high-converting UGC-style creatives and ad content, Confused about ad cost structures and actual return on investment
- posts_analysed: 20
- confidence: 0.6

## 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: 37
- authenticity_basis: profile_shape_only
- credibility_score: 37
- flagged_for_review: false
- koinon_bd_grade: C — 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
- [youtube_liammarketing#e7bcba7d] Fix These 2 BIG Facebook Ad Issues #facebookads #money #businessgrowth (https://www.youtube.com/@LiamMarketing)
- [youtube_liammarketing#5059a39a] This is the BEST part of running a Facebook ads agency
- [youtube_liammarketing#aa7ee2a7] Are Facebook Ads EXPENSIVE in 2024?  #facebookads #makemoneyonline #smma
- [youtube_liammarketing#b26770dd] The BEST Facebook Ad of 2024?  #facebookads #makemoneyonline #marketing #smma
- [youtube_liammarketing#3f659490] How to GET SMMA CLIENTS In 2024?  #facebookads #smma #makemoneyonline
- [youtube_liammarketing#bd0460e9] How To Make GOOD UGC CONTENT in 2024 #ugc #facebookads
- [youtube_liammarketing#a47435f5] WARNING: Facebook Ads Just REMOVED a VITAL Location Targeting Feature! #facebookads
- [youtube_liammarketing#df38b69d] Recent Client Facebook RESULTS (Client VS Me) #facebookads #facebookadscourse #facebookads2023

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=35, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=35, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=35, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=4, 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=0.25, freshness_days=0, 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=4, 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=4, method=platform_profile

## Freshness
- profile_checked_days_ago: 4
- content_analysed_days_ago: 0
- audience_updated_days_ago: 35

## AI retrieval
- indexing_requests: 1
- 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=youtube_liammarketing
- Request removal: https://koinonlink.com/claim?k=youtube_liammarketing
- Terms: https://koinonlink.com/for-ai