# CproGrowth (@cprogrowth) on youtube

- id: koinon:creator:youtube_cprogrowth
- url: https://koinonlink.com/kol/youtube/cprogrowth
- schema_version: 1.3

## Identity
- platform: youtube
- handle: cprogrowth
- platform_url: https://www.youtube.com/@cprogrowth
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3910
- posts_observed: 73
- verified: false
- size_tier: nano

## 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: Meta ads scaling and structure, Attribution and ROAS problems, Ad creative/UGC testing strategies, Google Ads and media mix decisions, Demand generation vs direct response
- bio: We help business scale with ads. 99% of teams don't do what we do and we can prove it.

## Audience (inferred)
- status: present
- description: Meta and Google ads practitioners, performance marketers, and agency media buyers focused on scaling paid campaigns
- roles: ads
- seniority: practitioner
- pain_points: Misattribution causing wrong budget allocation and optimization, Wasting spend on duplicate audiences or broken media mix, Ad creative testing that fails to convert cold traffic, Platform limits and rising CPCs blocking scalable growth
- posts_analysed: 48
- confidence: 0.75

## 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: 39
- authenticity_basis: profile_shape_only
- credibility_score: 39
- flagged_for_review: false
- koinon_bd_grade: C — 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
- [youtube_cprogrowth#16068fda] Why You Should Price From Their Hourly Rate (https://www.youtube.com/@cprogrowth)
- [youtube_cprogrowth#08e8f6fe] Why I'd Buy Your SaaS: Just Answer 3 Questions
- [youtube_cprogrowth#f5fdbb70] Why Meta Stops Testing After the First Winner
- [youtube_cprogrowth#287414aa] How to Spot Fake Traffic: The Red Flags You Need to Know
- [youtube_cprogrowth#b8e7a49b] Why You Should Never Trust Your Attribution Tool
- [youtube_cprogrowth#6826dc7e] The Truth About Ad Spend: Bigger Isn't Always Better #budgetallocation #digitalmarketing #shorts
- [youtube_cprogrowth#e0c91b4b] Your Creative Is an Elevator Pitch. Find the Profitable One
- [youtube_cprogrowth#b53fc7b7] Why Your Hook Rate Is Low (It's Not Your Hook)

## 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=29, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=29, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=29, 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=5, 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=5, 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=5, method=platform_profile

## Freshness
- profile_checked_days_ago: 5
- content_analysed_days_ago: 0
- audience_updated_days_ago: 29

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