# Ivan (@ivanwbong) on tiktok

- id: koinon:creator:tiktok_ivanwbong
- url: https://koinonlink.com/kol/tiktok/ivanwbong
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: ivanwbong
- platform_url: https://www.tiktok.com/@ivanwbong
- website: https://linktr.ee/Ivanwbong
- country: Indonesia
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 7323
- following: 89
- posts_observed: 7
- verified: false
- size_tier: nano

## 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: 0.95
- category_source: derived_from_recent_content
- topics: Shopee Ads metrics interpretation and optimization, Common mistakes causing ad failure or algorithm damage, Scaling omzet and handling marketplace competition, Pre-launch checklists and store setup for new sellers, Agency pricing and results consistency for clients
- bio: Dari pengalaman jualan online → jadi cerita & pelajaran

Mau Scale Toko lu?
          ↓↓↓↓

## Audience (inferred)
- status: present
- description: Indonesian Shopee/online marketplace sellers running small-medium stores, mainly owners or in-house ad handlers focused on ads and omzet growth
- roles: ads
- seniority: practitioner
- pain_points: Ads consistently losing money (boncos) without knowing why, Difficulty correctly reading and prioritizing ad metrics leading to bad optimization decisions, Revenue stuck or declining despite increasing ad spend and platform fees, Algorithm penalties or performance drops from common seller mistakes
- 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: 42
- authenticity_basis: profile_shape_only
- credibility_score: 42
- flagged_for_review: false
- koinon_bd_grade: C — 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_ivanwbong#880ac2e9] Hari Ke-1 Ngejer Omset 1M di Bulan January #selleronline #bisnisonline #bisnismillenial #bisnisonlineshop #caraiklan (https://www.tiktok.com/@ivanwbong)
- [tiktok_ivanwbong#67b9289d] original sound - ivanwbong
- [tiktok_ivanwbong#1fc1c8f7] It is a becoming a big trend on TikTok now! Click here: selleronline
- [tiktok_ivanwbong#f20f3e3b] Check out Ivan’s video! #TikTok >
- [tiktok_ivanwbong#194fbbe5] Hari ke -12 Ngejer Omset 100jt per bulan dari bisnis online  #selleronline #bisnisonline #bisnismillenial #bisnisonlineshop #caraiklan
- [tiktok_ivanwbong#e2f7b3f3] Hari ke-3 Ngejer Omset 100jt perbulan dari bisnis Online #selleronline #bisnisonline #bisnismillenial #bisnisonlineshop #caraiklan
- [tiktok_ivanwbong#3d85e4cb] Ka-ching (shopping
- [tiktok_ivanwbong#ebeb11c5] cash register sound)(1243277)

## 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=59, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=59, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=59, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=59, 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=59, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=90, 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=59, 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=90, 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=90, method=platform_profile

## Freshness
- profile_checked_days_ago: 90
- content_analysed_days_ago: 59
- audience_updated_days_ago: 59

## AI retrieval
- indexing_requests: 6
- 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_ivanwbong
- Request removal: https://koinonlink.com/claim?k=tiktok_ivanwbong
- Terms: https://koinonlink.com/for-ai