Performance Tier
EliteTotal Views
Videos
Avg Views / Video
327.67%
Above avg
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Compare subscribers, total views, estimated earnings, RPM, CPM efficiency and sponsorship value side-by-side. Analyze growth momentum instantly.
Performance Tier
EliteTotal Views
Videos
Avg Views / Video
327.67%
Above avg
subscribers
Performance Tier
AverageTotal Views
Videos
Avg Views / Video
583.33%
Above avg
Head to Head
Side-by-side performance metrics overview.
Revenue Analysis
Estimated earnings based on views and RPM assumptions.
Sony Indian Idols
FunBeast
Sony Indian Idols earns approximately $125 more per month (1245600.0% difference).
Sony Indian Idols
FunBeast
Annual revenue difference is approximately $1,495 (1067657.1% difference).
Ad Efficiency
Revenue strength per 1,000 views and advertiser spend comparison.
Sony Indian Idols
Higher$
FunBeast
$
Sony Indian Idols is approximately 97.0% more efficient per 1,000 views.
Sony Indian Idols
Higher$
FunBeast
$
Sony Indian Idols is approximately 97.0% more efficient per 1,000 views.
Brand Deals
Estimated brand pricing power and annual deal potential.
Sony Indian Idols
Higher$β$
FunBeast
$β$
Sony Indian Idols can command approximately $43.596 more per sponsored integration.
Sony Indian Idols
Higher$
FunBeast
$
* Projection assumes one sponsored video per month. Actual brand revenue varies based on niche, geography, audience purchasing power and campaign scope.
Multi-Metric Analysis
Multi-metric strength analysis across key growth indicators.
Performance
Engagement
Avg Views
Sony Indian Idols demonstrates stronger overall performance across engagement, view power and composite score metrics.
Strategic Breakdown
Direct comparison of long-term audience scale and cumulative reach between Sony Indian Idols and FunBeast.
Overall Performance Leader
Sony Indian Idols
Sony Indian Idols leads by 3,954 (65900.0%)
Sony Indian Idols leads by 1,297,540 (3707257.1%)
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.
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
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.
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).
Audience Scale
Total subscribers and cumulative lifetime views.
Content Productivity
Upload frequency and average views per video.
Engagement Quality
View-to-subscriber ratio as a proxy for audience activation.
Revenue Estimates
Monthly and yearly AdSense earnings based on RPM benchmarks.
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.
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.
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:
Estimate monthly views
Average views per video Γ estimated upload frequency Γ 4 weeks
Apply RPM benchmark
Monthly views Γ· 1,000 Γ RPM gives estimated monthly revenue
Adjust for niche
Finance, B2B, and real estate niches earn 3β10Γ more than entertainment
Apply a range
Low estimate uses minimum RPM; high estimate uses maximum RPM for the likely niche
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.
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 β $22
RPM range
Business / SaaS
$6 β $18
RPM range
Technology
$4 β $12
RPM range
Lifestyle / Vlogs
$2 β $5
RPM range
Gaming
$1.50 β $4
RPM range
Entertainment / Comedy
$1 β $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.
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 Rate | What It Means |
|---|---|
| 10%+ | Exceptional β algorithm favourite, loyal niche audience |
| 5% β 10% | Strong β above average, good brand value |
| 2% β 5% | Average β typical for mid-size channels |
| 1% β 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.
Statly estimates sponsorship rates using a multiple of estimated monthly earnings. Industry standard brand deal rates for dedicated integrations typically fall at 15%β35% of estimated monthly AdSense revenue for a single video.
Minimum Rate
~15% of monthly est.
Midpoint Rate
~25% of monthly est.
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 3β6 brand integrations per month across dedicated videos, mid-rolls, and end screens.
The Statly Performance Score is a 0β100 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.
Elite
85 β 100
Strong
65 β 84
Average
40 β 64
Weak
0 β 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.
Influencer shortlisting
Compare 5β10 candidate channels to identify the best CPM-to-reach ratio for a campaign budget.
Negotiation benchmarking
Reference competitor channels' estimated rates to validate or challenge a creator's proposed fee.
Category due diligence
Assess whether a niche category performs well enough to justify entering a creator partnership program.
ROI forecasting
Use sponsorship estimates and engagement data to model expected cost-per-view and cost-per-click before committing.
Competitive landscape mapping
Identify which creators in a niche have the highest engaged audience and lowest relative brand deal costs.
Competitive research
Identify what's working for similar channels β upload cadence, average views, subscriber growth trajectory.
Pricing validation
Compare your estimated sponsorship range against similar-sized creators to ensure you're not undercharging.
Niche positioning
Compare your RPM against channels in adjacent niches to evaluate whether pivoting could significantly increase revenue.
Pitch deck data
Include a Statly comparison showing your channel vs competitors to demonstrate performance advantage to brands.
Growth goal setting
Use competitor data to reverse-engineer the subscriber count, engagement rate, and upload frequency needed to reach a target income.
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
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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.