# Refine Labs (@refine_labs) on youtube

- id: koinon:creator:youtube_refine_labs
- url: https://koinonlink.com/kol/youtube/refine_labs
- schema_version: 1.4

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

## Reach
- followers: 1060
- posts_observed: 1
- 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: B2B Demand Generation, Google Ads & PPC optimization, Marketing attribution & measurement, Brand vs demand strategy, Pipeline metrics & MQL issues
- bio: How is AI transforming B2B marketing? At Refine Labs, we turn these questions into action, delivering demand strategies that ...

## Audience (inferred)
- status: present
- description: B2B SaaS demand gen and paid ads practitioners, mainly mid-level marketing managers and ads specialists at tech companies
- roles: ads
- seniority: practitioner
- pain_points: Attribution software giving misleading pipeline data, Large portions of Google Ads budget being wasted on poor structures, MQL volume goals damaging actual sales outcomes, Demand gen strategies failing in non-flashy B2B categories
- posts_analysed: 48
- confidence: 0.75

## 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: 31
- authenticity_basis: profile_shape_only
- credibility_score: 31
- 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_refine_labs#8f71b7bd] This is how to convince your CFO (https://www.youtube.com/@refine_labs)
- [youtube_refine_labs#82da5b07] How Do you Build Demand in an Unsexy Category
- [youtube_refine_labs#12e42691] What's Your Story?
- [youtube_refine_labs#72fdd716] Why This CMO Refused a Marketing Attributed Pipeline Goal
- [youtube_refine_labs#dd511c13] Your growth deserves a change in altitude
- [youtube_refine_labs#69a6344c] The Untapped Growth Engine Hiding Inside Your Existing Customer Base
- [youtube_refine_labs#20aa79f8] Your Demand Gen Is Broken - Here's Why (And How to Fix It)
- [youtube_refine_labs#85d76b9f] Why 90% of B2B Deals Are Already Won Before the Sales Process Starts

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=76, 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=76, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=105, 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=76, 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=105, 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=105, method=platform_profile

## Freshness
- profile_checked_days_ago: 105
- content_analysed_days_ago: 76
- audience_updated_days_ago: 76

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