# Ivan Mana (@IvanMana) on youtube

- id: koinon:creator:youtube_ivanmana
- url: https://koinonlink.com/kol/youtube/IvanMana
- schema_version: 1.4

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

## Reach
- followers: 126000
- posts_observed: 8
- verified: false
- size_tier: kol

## 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: 0.95
- category_source: derived_from_recent_content
- topics: Google Ads optimization and match types, Microsoft Ads features and setup, LinkedIn Ads bidding and targeting, TikTok, Pinterest and YouTube Ads tactics, Native ads and ad extensions, Google Merchant Center and tagging
- bio: Hey there! I'm Ivan Mana, and I help business owners grow online by teaching the essential skills of digital marketing - from ...

## Audience (inferred)
- status: present
- description: PPC practitioners and small-medium business owners who actively manage paid ads across Google, Microsoft, LinkedIn, TikTok and native platforms
- roles: ads
- seniority: practitioner
- pain_points: Wasting budget on wrong bidding strategies, match types or targeting settings, Getting accounts banned or limited when setting up Microsoft Ads or scaling campaigns, Choosing the right campaign subtype and extensions across multiple ad platforms, Understanding platform differences and avoiding costly setup mistakes
- posts_analysed: 48
- confidence: 0.75

## 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: 58
- authenticity_basis: profile_shape_only
- credibility_score: 58
- 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_ivanmana#b6365374] Don’t Buy Guest Posts Until You Check This (https://www.youtube.com/@IvanMana)
- [youtube_ivanmana#b826037a] The Reason Your Guest Post Pitches Fail and What to Say Instead
- [youtube_ivanmana#2f573d4c] How to Create Your Microsoft Ads Account Without Getting Banned
- [youtube_ivanmana#c6d31a4a] Microsoft Ads Remarketing Audience Types Explained
- [youtube_ivanmana#35a64b38] What Are Filter Link Extensions in Microsoft Ads?
- [youtube_ivanmana#79cdb524] Microsoft Ads vs. Google Ads: Which One’s Better for Your Business?
- [youtube_ivanmana#a4f6611a] Should You Run Display Ads on Microsoft Ads?
- [youtube_ivanmana#84f46eba] What Are Flyer Extensions In Microsoft Ads?

## 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=81, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=81, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=81, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=81, 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=81, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=86, 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=81, 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=86, 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=86, method=platform_profile

## Freshness
- profile_checked_days_ago: 86
- content_analysed_days_ago: 81
- audience_updated_days_ago: 81

## AI retrieval
- indexing_requests: 11
- 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_ivanmana
- Request removal: https://koinonlink.com/claim?k=youtube_ivanmana
- Terms: https://koinonlink.com/for-ai