# peakecom.perf (@peakecom.perf) on tiktok

- id: koinon:creator:tiktok_peakecom.perf
- url: https://koinonlink.com/kol/tiktok/peakecom.perf
- schema_version: 1.3

## Identity
- platform: tiktok
- handle: peakecom.perf
- platform_url: https://www.tiktok.com/@peakecom.perf
- website: https://www.skool.com/peak-ecom-perfomance/about
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 5201
- following: 34
- posts_observed: 4
- 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: dropship
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: dropshipping & Shopify basics, Meta ads / media buying strategies, finding and testing winning products, scaling and common pitfalls, free course/masterclass promotions
- bio: Gratis Ecom/Dropshipping Kurs: Starten & Skalieren⬇️

## Audience (inferred)
- status: present
- description: German-speaking dropshipping beginners and small ecom operators in the DACH region, mostly aspiring online entrepreneurs running or testing Shopify stores
- roles: ecom_ops
- seniority: learner
- pain_points: Meta ads accounts getting banned without clear reason, finding actual winning products that scale instead of burning budget, low profit margins after fees, returns and ad spend, seasonal sales drops like the summer slump
- posts_analysed: 100
- 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: 40
- authenticity_basis: profile_shape_only
- credibility_score: 40
- 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_peakecom.perf#022e6e5d] gib mir ein paar Wochen ich würde wieder am selben Punkt stehen🤝 #dropshipping #ecomdeutschland #onlinebusiness (https://www.tiktok.com/@peakecom.perf)
- [tiktok_peakecom.perf#a30d8063] original sound - peakecom.perf
- [tiktok_peakecom.perf#8355e9e3] It is a becoming a big trend on TikTok now! Click here: dropshipping
- [tiktok_peakecom.perf#5662c4db] Check out peakecom.perf’s video! #TikTok >
- [tiktok_peakecom.perf#d942d5a9] ecom = 🔑#ecommerce #dropshipping #makemoneyonline #erfolgreich
- [tiktok_peakecom.perf#4a2e966f] original sound - _av_music
- [tiktok_peakecom.perf#d92ac8ce] Gratis Kurs in Bio➡️ #dropshipping #ecomdeutschland #reich #onlinebusiness
- [tiktok_peakecom.perf#a1a6c314] Da muss jeder ecom guy durch.. #makemoneyonline #ecom #ecomdeutschland

## 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=25, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=25, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=25, 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=9, 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=9, 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=9, method=platform_profile

## Freshness
- profile_checked_days_ago: 9
- content_analysed_days_ago: 0
- audience_updated_days_ago: 25

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