# Víctor Pérez (@victorperezia) on tiktok

- id: koinon:creator:tiktok_victorperezia
- url: https://koinonlink.com/kol/tiktok/victorperezia
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: victorperezia
- platform_url: https://www.tiktok.com/@victorperezia
- country: Spain
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 28616
- following: 3
- posts_observed: 3
- 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: software
- subcategory: ai_tools
- category_confidence: 0.98
- category_source: derived_from_recent_content
- topics: AI语音代理处理电话销售和客服, WhatsApp自动化代理, 线索资格筛选与预约系统, 特定行业AI落地案例（诊所、旅行社、零售）, Prompt和实施步骤分享, AI工具演示与安装指南

## Audience (inferred)
- status: present
- description: small and medium business owners and decision-makers, primarily from clinics, travel agencies, retail, and local service industries, seeking AI tools to automate customer service and sales follow-ups
- roles: automation
- seniority: decision_maker
- pain_points: Leads from ads are lost due to delayed responses, wasting valuable marketing budgets, Customer service teams can't handle high volumes of WhatsApp messages and calls around the clock, leading to long wait times or lost customers, Sales teams are bogged down by low-quality inquiries, unable to focus on high-intent prospects, Manual follow-ups and appointment scheduling are inefficient, making it hard to scale outreach to all potential customers
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 50
- authenticity_basis: profile_shape_only
- credibility_score: 50
- 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_victorperezia#978c677c] Comenta "UNO" aquí abajo para más información. (https://www.tiktok.com/@victorperezia)
- [tiktok_victorperezia#4efdf958] original sound - victorperezia
- [tiktok_victorperezia#5d9216a8] Check out Víctor Pérez’s video! #TikTok >
- [tiktok_victorperezia#6b7e645e] Search:
- [tiktok_victorperezia#8d3bca56] vistral ia
- [tiktok_victorperezia#b694395e] gemini o chatgpt
- [tiktok_victorperezia#45f11680] Dime si piensas igual, o si ofrecerías una alternativa mejor para alguna de estas tareas. Déjalo en los comentarios.
- [tiktok_victorperezia#bd93b0fc] Escríbenos por IG en victorperez.ia y te mandamos el paso a paso de cómo implementarlo en tu negocio.

## 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=61, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=61, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=61, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=61, 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=61, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=72, 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=61, 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=72, 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=72, method=platform_profile

## Freshness
- profile_checked_days_ago: 72
- content_analysed_days_ago: 61
- audience_updated_days_ago: 61

## AI retrieval
- indexing_requests: 10
- 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_victorperezia
- Request removal: https://koinonlink.com/claim?k=tiktok_victorperezia
- Terms: https://koinonlink.com/for-ai