# Professor Favoretto (@professorfavoretto) on tiktok

- id: koinon:creator:tiktok_professorfavoretto
- url: https://koinonlink.com/kol/tiktok/professorfavoretto
- schema_version: 1.4

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

## Reach
- followers: 97719
- following: 223
- posts_observed: 1
- 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: dtc_brand
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: visual merchandising e layout de loja, embalagem e design de produtos, marketing de experiência e guerrilha no varejo, microfranquias e renda passiva, padronização de processos e gestão
- bio: 💰Seu negócio pode cobrar mais caro
🎯Empreendedorismo, design, oferta e gestão para pequenos negócios virarem máquinas de lucro.

## Audience (inferred)
- status: present
- description: Small retail business owners in Brazil (cafés, physical stores, handmade products) looking to increase sales and profits
- roles: ecom_ops
- seniority: decision_maker
- pain_points: Store layout and visual design that don’t drive sales, Packaging that doesn’t add value or justify a higher price, Difficulty attracting and retaining customers through marketing, Lack of standardized processes and team consistency
- posts_analysed: 13
- confidence: 0.4

## 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: 57
- authenticity_basis: profile_shape_only
- credibility_score: 57
- 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_professorfavoretto#b6efebb8] O segredo que as GRANDES REDES não te contam! 🤖 padronização de processos no varejo, como criar padrão de qualidade na empresa, treinamento de equipe para restaurantes, gestão de pessoas para pequenas empresas, padronização de serviços alimentação, como escalar um negócio físico (https://www.tiktok.com/@professorfavoretto)

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=53, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=53, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=53, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=53, 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=53, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=53, 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=53, 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=53, 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=53, method=platform_profile

## Freshness
- profile_checked_days_ago: 53
- content_analysed_days_ago: 53
- audience_updated_days_ago: 53

## AI retrieval
- indexing_requests: 9
- 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_professorfavoretto
- Request removal: https://koinonlink.com/claim?k=tiktok_professorfavoretto
- Terms: https://koinonlink.com/for-ai