# Mei (@marketingmei) on tiktok

- id: koinon:creator:tiktok_marketingmei
- url: https://koinonlink.com/kol/tiktok/marketingmei
- schema_version: 1.2

## Identity
- platform: tiktok
- handle: marketingmei
- platform_url: https://www.tiktok.com/@marketingmei
- country: United States
- entity_type: creator
- person_id: koinon:person:youtube_marketingmei

## Reach
- followers: 114561
- following: 30
- posts_observed: 3
- 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: Meta ads campaign structure for scaling, creative testing and why ads win, funnel proofing and audience coverage, diagnosing CAC and funnel leaks, agency vs in-house performance issues

## Audience (inferred)
- status: present
- description: Meta ads performance marketers and agency practitioners running and scaling paid social campaigns
- roles: ads
- seniority: practitioner
- pain_points: not understanding exactly why certain ads win so they scale the wrong ones, hitting unexplained scaling ceilings despite increasing spend and creative volume, funnels leaking money at unknown stages because teams skip proper diagnostics, wasting budget on MOF/BOF creatives that ignore top-of-funnel audience segments
- posts_analysed: 31
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- 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
- [tiktok_marketingmei#903c166e] original sound - marketingmei (https://www.tiktok.com/@marketingmei)
- [tiktok_marketingmei#44ffe7c2] Check out Mei’s video! #TikTok >
- [tiktok_marketingmei#99b6a856] @Mei @Mei
- [tiktok_marketingmei#69190d27] i spent 11 hours on a creative brief and i don't know if words are real anymore. if you're not hunting customer pain points like a heat-seeking missile, you're not going deep enough.
- [tiktok_marketingmei#f8ef9fd3] "make more like your winning ads" is not a real strategy. if you don't know exactly why an ad "won," you will scale the wrong thing, every single time.
- [tiktok_marketingmei#ce404ddb] Replying to @designercalledade the incompetence is an epidemic. it’s wild how agencies are gaslighting brands while delivering negative value.
- [tiktok_marketingmei#0a5b8b31] hot take: the reason you can’t scale has nothing to do with targeting, spend, or creative output.  you’re hitting a ceiling you don’t even know exists
- [tiktok_marketingmei#682dbeed] Beep (2 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=38, 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=38, 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=38, method=platform_profile

## Freshness
- profile_checked_days_ago: 38
- 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=tiktok_marketingmei
- Request removal: https://koinonlink.com/claim?k=tiktok_marketingmei
- Terms: https://koinonlink.com/for-ai