# Lore | Digital Analyst 🌍 (@analytics.way) on tiktok

- id: koinon:creator:tiktok_analytics.way
- url: https://koinonlink.com/kol/tiktok/analytics.way
- schema_version: 1.3

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

## Reach
- followers: 89244
- following: 4857
- posts_observed: 4
- 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: martech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: GA4, GTM and Google Search Console usage, AI prompts for analytics reports and LinkedIn optimization, Remote work tips for digital analysts, Data Studio project examples and Google Cloud courses, Job interview and client project advice in analytics

## Audience (inferred)
- status: present
- description: Spanish-speaking digital analysts and marketing data practitioners focused on GA4, GTM, Data Studio and AI-assisted analytics workflows
- roles: data
- seniority: practitioner
- pain_points: Keeping up with frequent Google Analytics and Search Console updates, Integrating AI tools like Claude into daily reporting and analysis work, Building strong LinkedIn profiles and portfolios for remote analytics roles, Finding practical examples and courses for Data Studio and measurement projects
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 56
- authenticity_basis: profile_shape_only
- credibility_score: 56
- 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_analytics.way#38c3da57] Para empezar de cero 🌞📊  #analiticadigital (https://www.tiktok.com/@analytics.way)
- [tiktok_analytics.way#097a9b09] original sound - analytics.way
- [tiktok_analytics.way#63f10801] It is a becoming a big trend on TikTok now! Click here: analiticadigital
- [tiktok_analytics.way#923e8f41] Check out Lore | Digital Analyst 🌍’s video! #TikTok >
- [tiktok_analytics.way#8e0dd5ce] Algunos disclaimers: 1) No todos los días son iguales, a veces tengo más o menos carga de trabajo, pero lo bueno es que voy adaptando todo como yo quiera. 2) Los datos de clientes que muestro no son 100% los datos reales, a veces duplico el documento y le quito datos reales para 
- [tiktok_analytics.way#a3e3f3d4] Son 3 sitios webs que merece la pena visitar y guardarlos para cuando n

## 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=23, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=23, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=23, 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=10, 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=10, 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=10, method=platform_profile

## Freshness
- profile_checked_days_ago: 10
- content_analysed_days_ago: 0
- audience_updated_days_ago: 23

## 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_analytics.way
- Request removal: https://koinonlink.com/claim?k=tiktok_analytics.way
- Terms: https://koinonlink.com/for-ai