# Andrew (@andrewxroas) on x

- id: koinon:creator:x_andrewxroas
- url: https://koinonlink.com/kol/x/andrewxroas
- schema_version: 1.4

## Identity
- platform: x
- handle: andrewxroas
- platform_url: https://twitter.com/andrewxroas
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 9165
- following: 125
- posts_total: 1036
- posts_observed: 1
- posts_per_day: 3.047
- account_age_days: 340
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00142
- best_post_interactions: 13
- 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: software
- subcategory: martech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Meta ads performance, AI UGC creative testing, App scaling and launches, Ad platform policy changes, High-budget ad spend strategies
- bio: Scaling apps (sharing my journey here)

## Audience (inferred)
- status: present
- description: Meta ads practitioners scaling apps, mainly hands-on operators running $10k+/day campaigns and testing AI creatives
- roles: ads
- seniority: practitioner
- pain_points: YouTube ad content mostly beginner-focused and useless for high spenders, Meta policy changes blocking app store links and restricting AI content, Other ad platforms underperforming compared to Meta, High volume creative testing and AI UGC production challenges
- posts_analysed: 6
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 69
- authenticity_basis: engagement_observed
- credibility_score: 69
- 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_andrewxroas#0e5c70e0] What is some content on ads you guys actually watch on YouTube? Those spending $10k/day+ Almost every video is made to appeal to beginners which was okay when I was starting but now there's really not much insightful info (https://twitter.com/andrewxroas/status/2071689671894032771)
- [x_andrewxroas#1507bdb0] I have put over $2M ad spend behind AI UGC Tested every single video model under the sun Generated over 2000 creatives Ask me anything about AI UGC
- [x_andrewxroas#28186b0e] Meta finally humbled organic demons by blocking app store links
- [x_andrewxroas#d389e085] Anyone who thinks Meta and TikTok will follow suit should get checked out by a doctor The company that launched Seedance will surely ban AI generated content, that makes a lot of sense dude
- [x_andrewxroas#e373502b] The more ad platforms I try the more grateful I'm for meta ads I know this is very unpopular and people only like to bitch on meta here But it's such a goated platform Even with all the flaws nothing comes close
- [x_andrewxroas#8ccec9ae] I got a new app ready to be launched on meta Wonder

## 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=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, 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=77, 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=77, 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: 77
- audience_updated_days_ago: 77

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