Cocomelon - Nursery Rhymes

Cocomelon - Nursery Rhymes

@cocomelon

VS
MrBeast

MrBeast

@mrbeast

Cocomelon - Nursery Rhymes vs MrBeast(2026)

Compare subscribers, total views, estimated earnings, RPM, CPM efficiency and sponsorship value side-by-side. Analyze growth momentum instantly.

SubscribersTotal ViewsAvg Views / VideoEstimated RevenueRPM & CPMSponsorship ValueGrowth Momentum
100score

Performance Tier

Elite

Total Views

Videos

Avg Views / Video

Engagement Rate

56.29%

Above avg

MrBeast channel profile image
MrBeast

subscribers

100score

Performance Tier

Elite

Total Views

Videos

Avg Views / Video

Engagement Rate

25.53%

Above avg

Head to Head

Snapshot Comparison

Side-by-side performance metrics overview.

Metric
Cocomelon - Nursery Rhymes
MrBeast
πŸ‘₯Subscribers
πŸ‘οΈTotal Views
🎬Videos Uploaded
πŸ“ŠAvg Views / Video
⚑Engagement Rate
56.29%
25.53%

Revenue Analysis

Revenue Comparison

Estimated earnings based on views and RPM assumptions.

πŸ“…

Monthly Revenue

Cocomelon - Nursery Rhymes

$3,783,703 – $5,675,554Higher

MrBeast

$2,204,973 – $3,307,460
πŸ’‘

Cocomelon - Nursery Rhymes earns approximately $2,368,095 more per month (71.6% difference).

πŸ—“οΈ

Yearly Revenue

Cocomelon - Nursery Rhymes

$45,404,435 – $68,106,653Higher

MrBeast

$26,459,679 – $39,689,519
πŸ’‘

Annual revenue difference is approximately $28,417,134 (71.6% difference).

Ad Efficiency

Advertising Efficiency (RPM & CPM)

Revenue strength per 1,000 views and advertiser spend comparison.

πŸ’΅
RPMRevenue per 1,000 Views

Cocomelon - Nursery Rhymes

Higher

$

MrBeast

$

⚑

Cocomelon - Nursery Rhymes is approximately 45.6% more efficient per 1,000 views.

πŸ“Š
CPMCost per 1,000 Impressions

Cocomelon - Nursery Rhymes

Higher

$

MrBeast

$

⚑

Cocomelon - Nursery Rhymes is approximately 45.6% more efficient per 1,000 views.

Brand Deals

Sponsorship & Brand Deal Rates

Estimated brand pricing power and annual deal potential.

🀝

Per Video Sponsorship Rate

Cocomelon - Nursery Rhymes

Higher

$–$

MrBeast

$–$

πŸ’°

Cocomelon - Nursery Rhymes can command approximately $828,833.078 more per sponsored integration.

πŸ“…

Estimated Yearly Brand Deal Potential

Cocomelon - Nursery Rhymes

Higher

$

MrBeast

$

* Projection assumes one sponsored video per month. Actual brand revenue varies based on niche, geography, audience purchasing power and campaign scope.

Multi-Metric Analysis

Performance Radar Comparison

Multi-metric strength analysis across key growth indicators.

Performance

100vs100

Engagement

100.0vs45.4

Avg Views

93.4vs100.0
πŸ†

Cocomelon - Nursery Rhymes demonstrates stronger overall performance across engagement, view power and composite score metrics.

Strategic Breakdown

Strategic Performance Breakdown

Direct comparison of long-term audience scale and cumulative reach between Cocomelon - Nursery Rhymes and MrBeast.

🀝

Both channels show balanced overall dominance across tracked metrics.

πŸ‘₯

Subscriber Leadership

Cocomelon - Nursery Rhymes200,000,000
MrBeast472,000,000

MrBeast leads by 272,000,000 (57.6%)

πŸ‘οΈ

Total Views Leadership

Cocomelon - Nursery Rhymes218,964,290,796
MrBeast114,842,357,729

Cocomelon - Nursery Rhymes leads by 104,121,933,067 (90.7%)

Analyst Notes

Subscriber scale represents durable audience loyalty and algorithmic trust. A large subscriber base stabilizes future performance and enhances monetization leverage.

Cumulative view volume reflects historical reach and long-term content exposure. Higher total views typically signal sustained discoverability and advertiser confidence.

However, dominance in absolute metrics does not guarantee superior monetization efficiency. Engagement quality, upload cadence, geographic audience mix and niche positioning heavily influence real revenue outcomes.

Complete Guide Β· 2026

How to Compare YouTube Channels

What the metrics mean, how earnings are estimated, what to look for in a competitor, and how to use channel comparison data for sponsorship, growth, and strategy decisions.

Table of Contents

  1. What a YouTube Channel Comparison Actually Shows
  2. Subscribers vs Views β€” Which Metric Matters More
  3. How Estimated Earnings Are Calculated
  4. RPM and CPM β€” What They Mean and Who Wins
  5. Engagement Rate β€” The Hidden Performance Signal
  6. Sponsorship Value and Brand Deal Pricing
  7. How to Read a Performance Score
  8. 5 Ways Brands Use Channel Comparison Data
  9. 5 Ways Creators Use Channel Comparison Data
  10. Common Mistakes When Comparing Channels
  11. Frequently Asked Questions
  12. Explore More YouTube Tools

Two channels, same subscriber count β€” completely different revenue. That's the rule, not the exception. Comparing YouTube channels by subscribers alone is like comparing two businesses by headcount. It tells you one thing while obscuring everything that matters: views, engagement, RPM, sponsorship rates, and monetization efficiency.

This guide explains every metric Statly surfaces in a channel comparison, what each one reveals, how to interpret the results, and why brands, agencies, and creators use this data to make real decisions.

01

What a YouTube Channel Comparison Actually Shows

A proper channel comparison surfaces six categories of data: audience scale (subscribers and total views), content productivity (video count and average views per upload), engagement quality (view-to-subscriber ratio), revenue estimation (monthly and yearly earnings), ad efficiency (RPM and CPM), and brand pricing power (sponsorship rates).

πŸ‘₯

Audience Scale

Total subscribers and cumulative lifetime views.

πŸ“Š

Content Productivity

Upload frequency and average views per video.

⚑

Engagement Quality

View-to-subscriber ratio as a proxy for audience activation.

πŸ’΅

Revenue Estimates

Monthly and yearly AdSense earnings based on RPM benchmarks.

πŸ“ˆ

Ad Efficiency

RPM (what creators earn) and CPM (what advertisers pay).

🀝

Sponsorship Value

Per-video brand deal rates and annual deal potential.

All six categories are visible simultaneously in a Statly comparison. No metric should be read in isolation β€” the real insight comes from the relationship between them.

02

Subscribers vs Views β€” Which Metric Matters More

Subscribers are a lagging indicator. They accumulate over a channel's entire lifetime and include people who subscribed years ago and never watch anymore. Total views tell a similar story β€” a channel with 10 billion lifetime views might have made most of those in 2018.

What actually predicts current performance

Average views per video β€” Reflects how many subscribers are actually watching now

View-to-subscriber ratio β€” High ratio = engaged audience; low ratio = subscriber decay

Upload frequency β€” More uploads = more algorithmic surface area

Recent video performance β€” Last 10 videos vs channel average reveals momentum trajectory

When comparing two channels with similar subscribers, look at the average views per video first. The channel with 3Γ— the average views is the stronger property β€” regardless of who has more subscribers.

03

How Estimated Earnings Are Calculated

YouTube does not publish creator earnings. All earnings data on Statly is estimated using publicly available view counts combined with industry-average RPM and CPM benchmarks. The calculation follows five steps:

1

Estimate monthly views

Average views per video Γ— estimated upload frequency Γ— 4 weeks

2

Apply RPM benchmark

Monthly views Γ· 1,000 Γ— RPM gives estimated monthly revenue

3

Adjust for niche

Finance, B2B, and real estate niches earn 3–10Γ— more than entertainment

4

Apply a range

Low estimate uses minimum RPM; high estimate uses maximum RPM for the likely niche

5

Project annually

Monthly range Γ— 12 gives the yearly projection

Important: These are educational estimates, not verified revenue figures. Actual earnings depend on audience geography, content niche, ad format mix, seasonality, and whether the channel is monetized at all.

04

RPM and CPM β€” What They Mean and Who Wins

RPM (Revenue Per Mille) is the amount a creator actually receives per 1,000 views after YouTube's 45% cut. CPM (Cost Per Mille) is what advertisers pay per 1,000 impressions before that split. The relationship is fixed: RPM = CPM Γ— 0.55 Γ— fill rate.

Finance / Investing

$8 – $22

RPM range

Business / SaaS

$6 – $18

RPM range

Technology

$4 – $12

RPM range

Lifestyle / Vlogs

$2 – $5

RPM range

Gaming

$1.50 – $4

RPM range

Entertainment / Comedy

$1 – $3

RPM range

In a channel comparison, the higher-RPM channel is not always the bigger channel. A 500K-subscriber finance channel often out-earns a 5M-subscriber gaming channel. Always read RPM alongside subscriber count to understand monetization efficiency.

05

Engagement Rate β€” The Hidden Performance Signal

Statly calculates engagement rate as average views per video Γ· subscriber count Γ— 100. This is a simplified proxy β€” it doesn't use likes or comments (which YouTube has made harder to measure via public API) β€” but it's a reliable signal for audience activation.

Engagement RateWhat It Means
10%+Exceptional β€” algorithm favourite, loyal niche audience
5% – 10%Strong β€” above average, good brand value
2% – 5%Average β€” typical for mid-size channels
1% – 2%Below average β€” subscriber decay or inconsistent uploads
< 1%Weak β€” audience has disengaged from the channel

For brand deals, engagement rate is often weighted more heavily than subscriber count. A 200K channel with 8% engagement will outperform a 1M channel with 0.5% engagement on almost every campaign KPI.

06

Sponsorship Value and Brand Deal Pricing

Statly estimates sponsorship rates using a multiple of estimated monthly earnings. Industry standard brand deal rates for dedicated integrations typically fall at 15%–35% of estimated monthly AdSense revenue for a single video.

πŸ“‰

Minimum Rate

~15% of monthly est.

πŸ“Š

Midpoint Rate

~25% of monthly est.

πŸ“ˆ

Maximum Rate

~35% of monthly est.

The yearly projection assumes one sponsored video per month β€” a conservative estimate for most active channels. Top creators often do 3–6 brand integrations per month across dedicated videos, mid-rolls, and end screens.

07

How to Read a Performance Score

The Statly Performance Score is a 0–100 composite metric built from three weighted inputs: subscriber base (40%), engagement rate (40%), and average views strength (20%). It is designed to surface channel health rather than raw size.

πŸ†

Elite

85 – 100

πŸ’ͺ

Strong

65 – 84

πŸ“Š

Average

40 – 64

πŸ“‰

Weak

0 – 39

A 3M-subscriber channel with low engagement can score lower than a 300K-subscriber channel with strong engagement. The score rewards quality over quantity, which is why it's a better proxy for brand deal value than subscriber count alone.

08

5 Ways Brands Use Channel Comparison Data

1

Influencer shortlisting

Compare 5–10 candidate channels to identify the best CPM-to-reach ratio for a campaign budget.

2

Negotiation benchmarking

Reference competitor channels' estimated rates to validate or challenge a creator's proposed fee.

3

Category due diligence

Assess whether a niche category performs well enough to justify entering a creator partnership program.

4

ROI forecasting

Use sponsorship estimates and engagement data to model expected cost-per-view and cost-per-click before committing.

5

Competitive landscape mapping

Identify which creators in a niche have the highest engaged audience and lowest relative brand deal costs.

09

5 Ways Creators Use Channel Comparison Data

1

Competitive research

Identify what's working for similar channels β€” upload cadence, average views, subscriber growth trajectory.

2

Pricing validation

Compare your estimated sponsorship range against similar-sized creators to ensure you're not undercharging.

3

Niche positioning

Compare your RPM against channels in adjacent niches to evaluate whether pivoting could significantly increase revenue.

4

Pitch deck data

Include a Statly comparison showing your channel vs competitors to demonstrate performance advantage to brands.

5

Growth goal setting

Use competitor data to reverse-engineer the subscriber count, engagement rate, and upload frequency needed to reach a target income.

10

Common Mistakes When Comparing Channels

Mistake

Comparing subscribers only

Fix

Always check average views per video alongside subscriber count.

Mistake

Ignoring niche differences

Fix

A finance channel and a gaming channel are incomparable on RPM.

Mistake

Treating estimates as exact figures

Fix

Ranges reflect uncertainty β€” use them for direction, not precision.

Mistake

Overlooking upload cadence

Fix

A channel that uploads daily reaches audiences a weekly channel never will.

Mistake

Comparing lifetime views fairly

Fix

Older channels have more lifetime views β€” compare avg views/video instead.

Mistake

Ignoring engagement on small channels

Fix

A 50K channel at 15% engagement often beats a 500K channel at 1%.

FAQ

Frequently Asked Questions

Can I compare any two YouTube channels?+
Yes β€” any channel in Statly's database can be compared. If a channel doesn't appear in search, it may not have been indexed yet. You can search by channel name or @handle.
Are the earnings estimates accurate?+
They are educational estimates based on publicly available view data and industry-average RPM benchmarks. They show a realistic range, not an exact figure. Actual earnings depend on monetization status, audience geography, niche, and ad format mix.
Does Statly access YouTube Studio data?+
No. Statly uses only the public YouTube Data API β€” subscriber count, video count, total views, and metadata. It has no access to YouTube Studio, AdSense, or any login-protected data.
Which channel wins if both have the same subscribers?+
Statly uses the Performance Score β€” a weighted composite of subscriber base, engagement rate, and average views power β€” to determine the overall winner. A channel with the same subscribers but higher engagement will score higher and be declared the performance leader.
Can I download the comparison as a PDF?+
Yes. Use the Download PDF button on the comparison page to capture the full report as a PDF. This is useful for brand decks, agency reports, and internal benchmarking.
Why does the comparison show a range instead of exact figures?+
Revenue varies significantly based on audience geography, niche CPM, ad fill rate, and seasonal advertiser demand. A range is more accurate than a single number β€” it reflects the genuine uncertainty in public-data revenue estimation.
Is this tool free?+
Yes. The YouTube channel comparison tool on Statly is completely free. No signup, no account, and no paywall. All data is based on publicly available YouTube API information.

All data shown is sourced from the public YouTube Data API. Earnings, RPM, CPM, and sponsorship figures are educational estimates only and do not represent verified or guaranteed income. Statly is an independent analytics platform and is not affiliated with YouTube or Google.