# Carl Weische (@CarlWeische) on x

- id: koinon:creator:x_carlweische
- url: https://koinonlink.com/kol/x/CarlWeische
- schema_version: 1.4

## Identity
- platform: x
- handle: CarlWeische
- platform_url: https://twitter.com/CarlWeische
- website: https://acceleratedagency.com/links
- entity_type: creator
- person_id: koinon:person:youtube_carlweische

## Reach
- followers: 39403
- following: 235
- posts_total: 3128
- posts_observed: 14
- posts_per_day: 1.748
- account_age_days: 1789
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00322
- best_post_interactions: 127
- 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: ROAS优化与预算分配, ICP理解与独特定位, 高转化advertorial文案, 冷启动offer设计, 品牌每周审计方法
- bio: Founder https://t.co/kf5jx8uHV1

## Audience (inferred)
- status: present
- description: Performance marketers and direct response advertisers, mainly small to mid-sized advertisers running cold traffic, ad account managers, and copywriters
- roles: ads
- seniority: practitioner
- pain_points: ROAS stuck below 3x for long periods with no clear way to break through, Poor understanding of ICP leads to misaligned targeting and offers, Struggle to write differentiated advertorial copy that converts, Need to audit numerous brands weekly but lack a systematic approach
- posts_analysed: 3
- confidence: 0.4

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

## Quality signals
- authenticity_score: 94
- authenticity_basis: engagement_observed
- credibility_score: 94
- 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_carlweische#a16c7295] I audit 15-20 brands every week. The winning ones ALWAYS have: - Autistic understanding of ICP - Unique positioning - Cold friendly offer that solves a huge pain - Applied neuromarketing (https://twitter.com/CarlWeische)
- [x_carlweische#ba02d1a9] Honestly if you want a higher ROAS you have your priorities completely backwards Anything above 3x & you're sitting on goldmine & not digging fast enough Spend more, increase AOV, LTV, & CVR so you can spend even more, keep iterating with the sole purpose of being able to spend m
- [x_carlweische#b9a5a710] To write extremely high-converting advertorials (from someone who’s made over $100M with them), you must make competitors irrelevant with your copy As such: -

## 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=108, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 77
- audience_updated_days_ago: 77

## AI retrieval
- indexing_requests: 8
- 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_carlweische
- Request removal: https://koinonlink.com/claim?k=x_carlweische
- Terms: https://koinonlink.com/for-ai