# DAVE | Amazon FBA (@daveemane) on tiktok

- id: koinon:creator:tiktok_daveemane
- url: https://koinonlink.com/kol/tiktok/daveemane
- schema_version: 1.3

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

## Reach
- followers: 55650
- following: 160
- posts_observed: 34
- 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: marketplace
- category_confidence: 0.8
- category_source: derived_from_discovery_path
- topics: Amazon FBA online arbitrage sourcing and ungating, Using tools like Keepa for product research, Prep centers vs warehouses and inventory handling, Beginner expectations, motivation, and common mistakes, Comparing OA vs private label or wholesale models

## Audience (inferred)
- status: present
- description: Amazon FBA online arbitrage sellers, mostly beginners and new entrants looking to start or scale small sourcing-based businesses
- roles: ecom_ops
- seniority: learner
- pain_points: Finding enough ungated and profitable products consistently, Navigating the first 30 days and staying motivated when results are slow, Deciding between online arbitrage and other models like private label or wholesale, Setting up efficient prep, inventory, and warehouse processes without high costs
- posts_analysed: 40
- 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: 54
- authenticity_basis: profile_shape_only
- credibility_score: 54
- 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_daveemane#50ca323a] How to ungate brands on Amazon with no invoices for online arbitrage (https://www.tiktok.com/@daveemane)
- [tiktok_daveemane#19d435b7] original sound - daveemane
- [tiktok_daveemane#6542ccb5] Check out DAVE | Amazon FBA’s video! #TikTok >
- [tiktok_daveemane#6b7e645e] Search:
- [tiktok_daveemane#70eeee6c] amazon how to get more sales
- [tiktok_daveemane#c3cecaed] Build a sustainable online arbitrage Amazon fba business.
- [tiktok_daveemane#3d743dfd] How I find products to resell on Amazon fba online arbitrage fast.
- [tiktok_daveemane#ff8dc71a] amazon fba how to find products online arbitrage

## 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=19, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=19, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=19, 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=2, 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=2, 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=2, method=platform_profile

## Freshness
- profile_checked_days_ago: 2
- content_analysed_days_ago: 0
- audience_updated_days_ago: 19

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