# Bojan Radojicic (@BojanRadojici10) on x

- id: koinon:creator:x_bojanradojici10
- url: https://koinonlink.com/kol/x/BojanRadojici10
- schema_version: 1.4

## Identity
- platform: x
- handle: BojanRadojici10
- platform_url: https://twitter.com/BojanRadojici10
- website: http://www.cfoainexus.com
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 30556
- following: 1454
- posts_total: 7506
- posts_observed: 2
- posts_per_day: 5.519
- account_age_days: 1360
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00101
- best_post_interactions: 31
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: finance
- subcategory: investing
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: industry-specific KPIs, financial performance modeling, AI for FP&A, CFO strategy, real estate finance metrics, SaaS financial metrics
- bio: AI & Tech Strategy for CFOs | Creator of AI Learning Platform for FP&A and Modeling | 3x Founder | CEO of WTS Tax & Finance

## Audience (inferred)
- status: present
- description: CFOs and finance leaders in tech and real estate, especially those focused on AI-driven financial planning and KPI modeling
- roles: ecom_ops
- seniority: decision_maker
- pain_points: Struggling to align KPIs across different business models (e.g., SaaS vs. real estate), Finding it hard to build industry-specific financial models that reflect actual performance, Lacking a standardized framework to evaluate ROI and profitability across diverse asset types, Difficulty in translating AI insights into actionable financial strategy for executive decision-making
- posts_analysed: 10
- 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: 88
- authenticity_basis: engagement_observed
- credibility_score: 88
- flagged_for_review: false
- koinon_bd_grade: A — 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
- [x_bojanradojici10#19a063f0] No two industries measure success the same way. (https://twitter.com/BojanRadojici10/status/2070613381841637403)
- [x_bojanradojici10#dd20771f] A SaaS founder lives by churn. A hotel by RevPAR. A factory by output per unit.
- [x_bojanradojici10#9a6479a4] Here are the KPIs to set, plan and manage in each one — backed by a model built for that industry.
- [x_bojanradojici10#969bb7b8] 𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲
- [x_bojanradojici10#1d7094fb] 👉 Gross rental yield
- [x_bojanradojici10#0de13390] 👉 Return on Equity
- [x_bojanradojici10#83cdcbb0] 👉 Return on Invested capital
- [x_bojanradojici10#a60acdfa] 👉 Return on Assets

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, 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=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=115, 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=0.5, freshness_days=79, 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=115, 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=115, method=platform_profile

## Freshness
- profile_checked_days_ago: 115
- content_analysed_days_ago: 79
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 13
- 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=x_bojanradojici10
- Request removal: https://koinonlink.com/claim?k=x_bojanradojici10
- Terms: https://koinonlink.com/for-ai