# Moby Runs Ads (@mobyhayat) on tiktok

- id: koinon:creator:tiktok_mobyhayat
- url: https://koinonlink.com/kol/tiktok/mobyhayat
- schema_version: 1.3

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

## Reach
- followers: 20691
- following: 52
- posts_observed: 11
- 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: 0.95
- category_source: derived_from_recent_content
- topics: Meta ads vs LinkedIn ads strategy, B2B lead generation and sales alignment, Ad creative testing and scaling, Common paid ads mistakes and fixes, When small businesses should (or shouldn't) run LinkedIn ads

## Audience (inferred)
- status: present
- description: B2B business owners, agency operators and paid ads practitioners running or scaling Meta and LinkedIn campaigns for small-to-mid size companies
- roles: ads
- seniority: practitioner
- pain_points: LinkedIn ads underperforming due to wrong formats, bidding or audience targeting, Meta lead forms delivering low-quality leads that don't convert, Uncertainty whether to start with Meta or LinkedIn and how to combine them, Wasting budget on retargeting, instant forms or untested creatives
- posts_analysed: 73
- confidence: 0.9

## 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: 48
- authenticity_basis: profile_shape_only
- credibility_score: 48
- 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
- [tiktok_mobyhayat#e2a1d345] “No one gets fired for buying from IBM” (https://www.tiktok.com/@mobyhayat)
- [tiktok_mobyhayat#329fd537] original sound - mobyhayat
- [tiktok_mobyhayat#9c0b1c76] Check out Moby Runs Ads’s video! #TikTok >
- [tiktok_mobyhayat#7a621c0f] Reply to @aaly301 the best 2 books for sales
- [tiktok_mobyhayat#0177092e] linkedin message ads are worth every dollar.
- [tiktok_mobyhayat#024c4cb1] linkedin conversation ads feel like a dm.
- [tiktok_mobyhayat#9ea184d0] Why, you ask? (I know you're not really asking, but let's pretend. it's more fun that way) 1️⃣ Everything we want for our businesses is on the other side of more promotion 2️⃣ Advertising = telling more people what we do... which is a fine thing to do And. Everyone. Should. Adver

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

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=30, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=30, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=30, 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=15, 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=15, 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=15, method=platform_profile

## Freshness
- profile_checked_days_ago: 15
- content_analysed_days_ago: 0
- audience_updated_days_ago: 30

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