# Michael Diaz (@digitaladguide) on youtube

- id: koinon:creator:youtube_digitaladguide
- url: https://koinonlink.com/kol/youtube/digitaladguide
- schema_version: 1.3

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

## Reach
- followers: 22700
- posts_observed: 642
- 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: software
- subcategory: martech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Meta Ads策略与规模化, 创意测试与Adv+功能, 算法学习阶段与归因, 常见错误与账户设置, 新功能更新与实战案例
- bio: Welcome Meta advertisers! I make content about advertising on Meta, aka Facebook & Instagram ads. I share strategies that work ...

## Audience (inferred)
- status: present
- description: Meta ad executors, mainly small to medium advertisers, brands, or agency account managers who want to run FB/IG ads independently instead of relying on agencies
- roles: ads
- seniority: practitioner
- pain_points: Ad budgets get wasted easily—unsure how to test and optimize effectively, Unfamiliar with Meta's latest features and algorithm changes, leading to inconsistent performance, Creative testing is cumbersome and hard to systematize to find winning content, Worried about being scammed or misconfiguring settings, risking account health and ROI
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.85
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 49
- authenticity_basis: profile_shape_only
- credibility_score: 49
- 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_digitaladguide#c0b0be68] Clarity is KING in advertising 👑 (https://www.youtube.com/@digitaladguide)
- [youtube_digitaladguide#a364fc6a] Which one are you? 🤔
- [youtube_digitaladguide#05a4ef86] Personal branding is the most important investment you can make in 2026
- [youtube_digitaladguide#95982ab1] Do this and watch your ad performance improve 💯 #advertising #metaads
- [youtube_digitaladguide#7c65ae40] These are the ads that are CRUSHING right now on Meta
- [youtube_digitaladguide#7a7aea8b] Life as a Meta Advertiser
- [youtube_digitaladguide#29c24ee0] Would you use this for your ads?
- [youtube_digitaladguide#d79a0994] Are you prioritizing what you are advertising? #advertising #metaads #howto #facebookads

## 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=34, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=34, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=34, 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: 34

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