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Veriscore/Audience Intelligence Report
M
Youtube · Subject

@mkbhd

Marques Brownlee

https://youtube.com/@mkbhd
18.9M
Subscribers
4.70%
Engagement
88%
Authentic
18Risk / 100
Legit — Strong authenticity signals
91% confidence · 18.4s analysis
Recommendation

This channel shows healthy, organic growth with consistent engagement and high production quality. Safe to proceed with partnership; request a media kit to confirm historical campaign performance.

01
Overview

Channel Snapshot

Subscribers
18.9M
Total Views
3850M
Videos
1.6K
Engagement
4.70%
Avg Views
4.2M
Per video
Avg Likes
198K
Per video
Avg Comments
9.4K
Per video
Authentic Subs
88.0%
Influencer Risk Evaluation Model

IREM Evaluation

IREM v1
01
Authenticity Integrity
Strong86/100
02
Engagement Stability
Strong82/100
03
Audience Quality
Strong78/100
04
Behavioral Consistency
Strong88/100
05
Reputational Risk Signals
Strong90/100

Evaluated under the Influencer Risk Evaluation Model (IREM) — a Regnor applied intelligence framework.

02
Authenticity

View & Subscriber Health

View-to-Subscriber Ratio
22.2%

4.2M average views against 18.9M subscribers. A healthy channel typically lands between 10–50%.

View Consistency (CV)38%
Stable view distribution
View authenticity22.2% ratioHealthy
03
Engagement

Engagement Quality

Generic Comments
12.0%
Spam Comments
3.0%
Comment Diversity
84.0%
Unique commenters
Instant Comments
18.0%
Posted within 1 hour
Real Channels
72.0%
Commenters with channels
04
Brand Fit

Content & Brand Alignment

Content Topics
TechnologyConsumer ElectronicsProduct Reviews

Content Format

Upload Cadence
FrequencyWeekly
Last upload3 days ago
Consistency88%
Production Quality · 95/100
HD Content100%
Captions96%
ThumbnailsConsistent
Strengths
  • High production quality (HD content, captions)
  • Consistent upload schedule indicates reliable partnership
  • Clear content niche: Technology, Consumer Electronics
Concerns
  • Premium positioning may command higher sponsorship rates
05
Trend

Performance Trend

06
Assessment

Analyst Assessment

Low risk
Marques Brownlee's channel exhibits the hallmarks of a genuinely large, engaged tech audience: a healthy view-to-subscriber ratio, diverse comment activity, and premium production consistency. There are no indicators of purchased views or inflated subscriber counts.
Supporting Evidence
  • ·22.2% view-to-subscriber ratio is well within the organic range for a channel of this size.
  • ·84% comment diversity with only 3% spam suggests a real, active community.
  • ·100% HD content and 96% caption coverage reflect professional production standards.
Brand Risk Assessment

Low brand risk. Content is consistently advertiser-friendly tech reviews with a clear editorial voice. Suitable for premium technology, consumer electronics, and lifestyle partnerships.

07
Methodology

Detailed Signal Analysis

View-to-Subscriber AnalysisWeight 25%14/100
  • ·View-to-subscriber ratio of 22.2% sits comfortably in the healthy range (10–50%).
  • ·View counts are consistent across recent uploads with low variance.
Engagement QualityWeight 25%16/100
  • ·Comment diversity is high — most commenters are unique accounts.
  • ·Low generic and spam comment rates indicate authentic audience interaction.
Content QualityWeight 20%9/100
  • ·Consistent upload cadence over the trailing 12 months.
  • ·High HD percentage and near-universal caption coverage.
Subscriber QualityWeight 20%22/100
  • ·Estimated authentic subscriber base of 88%.
Growth PatternWeight 10%20/100
  • ·Steady subscriber growth with no anomalous spikes detected.
08
Next Steps

Action Plan

  1. 01
    Leverage the account's verified status in campaign framinglow

    Platform verification adds credibility to co-branded content.

  2. 02
    Proceed to partnership terms with standard diligencelow

    Signals support a healthy, authentic audience (88% authentic, 22.2% view-to-subscriber ratio).

  3. 03
    Define success metrics before the first deliverablelow

    Set clear benchmarks against the channel's ~4.2M average views to measure campaign lift.

This report is generated by algorithmic analysis of publicly available data and AI evaluation. Verdicts and scores are signals and estimates, not accusations or statements of fact about any individual. They reflect a single point in time and can change as an account evolves. This is not a professional fraud investigation or legal determination — use it as one input alongside your own due diligence. To re-run with fresh data, use Force Refresh above. If you believe a result is inaccurate, request a recheck or correction at romil@regnor.systems.