# Panagis Karydas - Ads Expert (@PanagisKarydas) on youtube

- id: koinon:creator:youtube_panagiskarydas
- url: https://koinonlink.com/kol/youtube/PanagisKarydas
- schema_version: 1.3

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

## Reach
- followers: 32000
- posts_observed: 1
- verified: false
- size_tier: koc

## 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: ecommerce
- subcategory: ecom_ads
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Meta Ads optimization, TikTok Ads for e-commerce, Ad account scaling strategies, Attribution and data visibility in ads, Campaign structure (ABO vs CBO vs Advantage+), Common pitfalls in social media ad management
- bio: Hello! I'm Panagis, a seasoned Facebook/Instagram/TikTok Ads Expert with a track record of managing over $60 million in Ad ...

## Audience (inferred)
- status: present
- description: Facebook, Instagram, and TikTok ads practitioners managing medium to large budgets, primarily from e-commerce brands and performance marketing agencies
- roles: ads
- seniority: practitioner
- pain_points: Struggling with declining ad performance despite high spend, Frustrated by Meta's algorithm changes and opaque attribution, Confused by conflicting advice on campaign types like ABO/CBO/Advantage+, Wasting money due to misconfigured tracking or account restrictions
- posts_analysed: 48
- confidence: 0.75

## 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: 51
- authenticity_basis: profile_shape_only
- credibility_score: 51
- 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
- [youtube_panagiskarydas#debf8d05] 👆 Why TikTok’s GMV Max Is Failing You (https://www.youtube.com/@PanagisKarydas)
- [youtube_panagiskarydas#26de3f2a] 👆 Why TikTok's GMV Max Campaign Destroys Performance
- [youtube_panagiskarydas#27e9984f] 👆 These ‘Helpful’ Tools Might Be Wrecking Your Facebook Ads
- [youtube_panagiskarydas#1fdac0ca] 👆 If Facebook Can’t See the Data, You’re Just Wasting Money
- [youtube_panagiskarydas#3deb4efa] ☝️ Facebook Ads Stopped Performing? Try THIS First
- [youtube_panagiskarydas#de166733] ☝️ AOV-Based Budgeting in Facebook Ads – Most Get This Wrong
- [youtube_panagiskarydas#179ec31c] ☝️ The Safest Way to Scale Facebook Ads (Beginners Love This)
- [youtube_panagiskarydas#5b37b05f] ☝️ Horizontal vs Vertical Scaling in Facebook Ads in 90 Seconds

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

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=0, 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=0, 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=0, 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=0, method=platform_profile

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

## 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_panagiskarydas
- Request removal: https://koinonlink.com/claim?k=youtube_panagiskarydas
- Terms: https://koinonlink.com/for-ai