# Michael Godzic (@MichaelAGodzic) on x

- id: koinon:creator:x_michaelagodzic
- url: https://koinonlink.com/kol/x/MichaelAGodzic
- schema_version: 1.4

## Identity
- platform: x
- handle: MichaelAGodzic
- platform_url: https://twitter.com/MichaelAGodzic
- website: https://www.cal.com/echougc
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2660
- following: 1921
- posts_total: 1469
- posts_observed: 72
- posts_per_day: 0.574
- account_age_days: 2560
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0015
- best_post_interactions: 4
- 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: AI UGC大规模变体测试, campaign创意测试方法论, AI视频真实性检测, 品牌广告测试规模化
- bio: ✝️ | Co-Founder of @EchoUGC

## Audience (inferred)
- status: present
- description: Advertising and marketing professionals, primarily execution-level staff at brands and agencies responsible for AI UGC creative testing and campaign optimization
- roles: ads
- seniority: practitioner
- pain_points: Too few variations tested, leading to campaign failure without clear root cause, Small-scale tests feel like gambling—can't replicate winning results, Hard to accurately identify real flaws in AI UGC videos (e.g., lip sync, blinking, lighting), Unclear how to scale AI UGC testing effectively
- posts_analysed: 4
- 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: 58
- authenticity_basis: engagement_observed
- credibility_score: 58
- 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
- [x_michaelagodzic#b2d51e6a] Brands that aren’t testing hundreds of variants of their creatives or hooks are the ones that fail. Your content isn’t failing because AI UGC doesn’t work, it’s failing because you haven’t done your testing. (https://twitter.com/MichaelAGodzic)
- [x_michaelagodzic#d4e307a3] The Most Successful Campaigns using AI UGC are not the ones which test 3-5 variants. They're the ones who are testing at scale. https://t.co/5Mi1GACzqK
- [x_michaelagodzic#215bccd2] A batch of 30 videos that each differ in 6 ways isn't a test. It's a lottery with a spreadsheet attached. You get a winner and no idea why it won. Wrote up how to structure AI UGC testing properly. EchoUGC Officially Launches on Monday. https://t.co/kHkk30szKo
- [x_michaelagodzic#f6b3b2b0] People spot a fake AI creator video before they can explain why. The face is almost never the giveaway. Wrote up what actually breaks: lip timing, blinks, lighting, product handling, audio. And how EchoUGC fixes them. Live in days, keep an eye out! https://t.co/bSlUMpeka

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, 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=80, 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=80, 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: 80
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 7
- 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_michaelagodzic
- Request removal: https://koinonlink.com/claim?k=x_michaelagodzic
- Terms: https://koinonlink.com/for-ai