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Aman React

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2.8Ksubscribers
347.6Ktotal views
40videos
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Subscribers

2.8K

πŸ‘

Total Views

347.6K

🎬

Videos Published

40

πŸ’°

Est. Daily Earnings

$0.10 – $0.15

Daily Data

Growth Intelligence

Subscriber Growth
460
15 / day
Views Gained
315,883
10.5K avg
Est. Revenue
$789.71
$26.32 / day
Volatility
35.5
High
Efficiency
686.7
views per subscriber
Momentum
↑ Growing
Accelerating
DateSubs Ξ”% GrowthViews Ξ”Est. Earnings
19 Feb00.00%0$0.00
20 Feb-2-0.09%-44-$0.11
21 Feb-2-0.09%-37-$0.09
22 Feb-2-0.09%-38-$0.10
23 Feb-2-0.09%-38-$0.10
24 Feb-2-0.09%-38-$0.10
25 Feb-2-0.09%-39-$0.10
26 Feb-2-0.09%-39-$0.10
27 Feb-2-0.09%-40-$0.10
28 Feb-2-0.09%-40-$0.10
01 Mar-2-0.09%-40-$0.10
02 Mar-2-0.09%-41-$0.10
03 Mar-2-0.09%-41-$0.10
04 Mar-2-0.09%-42-$0.11
05 Mar-2-0.09%-42-$0.11
06 Mar-2-0.09%-43-$0.11
07 Mar-2-0.09%-43-$0.11
08 Mar-2-0.09%-43-$0.11
09 Mar-2-0.09%-44-$0.11
10 Mar-2-0.09%-44-$0.11
11 Mar-2-0.09%-44-$0.11
12 Mar+602.67%+1,232$3.08
13 Mar00.00%0$0.00
14 Mar+803.46%+2,767$6.92
15 Mar+702.93%+70,032$175.08
16 Mar+602.44%+80,789$201.97
17 Mar+100.40%+8,288$20.72
18 Mar00.00%+3,772$9.43
19 Mar+903.56%+1,407$3.52
20 Mar+1304.96%+148,416$371.04

Revenue Estimate

Estimated Earnings

Modeled projections based on RPM benchmarks and activity trends.

Est. Monthly Midpoint

$3.85

πŸ“…

Daily Range

$0.10–$0.15

Midpoint: $0.13

πŸ“†

Monthly Range

$38–$4.62

Midpoint: $3.85

πŸ—“οΈ

Yearly Range

$36.96–$55.44

Midpoint: $46.20

30-Day Trend

Daily Subscriber Growth

+130 todayΒ· 7-day avg:Β 60stableπŸ”₯ Viral SpikeMomentum:Β 0/100
Daily Change
7-day Avg

Benchmark

Earnings vs Benchmark

Monthly estimate compared to industry baseline

⚠️Below Average
Channel Estimated Earnings
$38 – $4.62$3.85
Industry Baseline
$2.5K

Baseline assumes ~$2.50 RPM and consistent activity. Actual revenue varies by niche, geography, and engagement.

Videos

Channel Videos

Browse latest uploads, most viewed content, and shorts.

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Complete Guide Β· 2026

YouTube Channel Stats & Earnings

How to read and interpret YouTube channel analytics, what subscriber and view counts actually mean, how earnings are estimated, and what to do with the data you see.

Table of Contents

  1. What Does a YouTube Channel Stats Page Show?
  2. How Subscriber Count Actually Works
  3. Total Views vs Recent Views β€” What Matters More
  4. How YouTube Channel Earnings Are Estimated
  5. Daily, Monthly, and Yearly Earnings β€” What Each Range Means
  6. What Is Daily Growth Data and How to Read It
  7. How to Use Channel Stats for Competitive Research
  8. What the Global Rank Means on Statly
  9. YouTube Analytics vs Public Data β€” Key Differences
  10. What Factors Actually Drive Channel Revenue
  11. How to Grow a Channel Based on Public Data Insights
  12. Frequently Asked Questions
  13. Explore More YouTube Tools

Every YouTube channel has a public footprint β€” subscriber count, total views, video history, and upload frequency. These signals are not just vanity metrics. Interpreted correctly, they reveal a channel's audience quality, revenue potential, growth trajectory, and competitive positioning.

Statly's channel pages aggregate these public signals into a structured analytics view β€” giving creators, marketers, brands, and researchers a single source for channel intelligence without requiring access to YouTube Studio or private account data.

This guide explains what each metric means, how earnings estimates are derived, how to interpret daily growth data, and how to turn these insights into practical decisions.

01

What Does a YouTube Channel Stats Page Show?

A YouTube channel stats page pulls together the publicly accessible data YouTube exposes for each channel and organises it into a structured dashboard. Here's what each section represents:

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Subscriber count

The channel's current public subscriber total. YouTube rounds or hides exact counts below 1,000. Above that threshold, the number shown is approximate β€” updated in near-real-time.

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Total views

The cumulative view count across the channel's entire history. This figure compounds over time β€” older channels with large libraries can have massive total views despite modest recent performance.

🎬

Video count

The total number of public videos on the channel. Combined with total views, this gives you average views per video β€” a key quality signal.

πŸ’°

Estimated earnings

A modelled daily/monthly/yearly revenue range based on estimated views, niche, and industry CPM benchmarks. Always shown as a range to reflect the genuine uncertainty of estimating private revenue from public data.

πŸ“ˆ

Daily growth chart

Where available, a 30-day history of estimated daily subscribers and views. This reveals whether growth is accelerating, steady, or declining β€” the most useful forward-looking signal available from public data.

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Global rank

A subscriber-based ranking relative to Statly's indexed channel database. Not an official YouTube metric β€” it reflects relative size within the platform's public ecosystem.

02

How Subscriber Count Actually Works

Subscriber count is the most cited YouTube metric β€” and also the most misunderstood. A high subscriber count does not guarantee views, revenue, or audience quality. Here's what the number does and doesn't tell you:

What subscriber count tells youWhat it doesn't tell you
βœ… Minimum audience floor β€” at least this many people opted in❌ How many subscribers are still active or watching
βœ… Channel's historical growth trajectory❌ Whether subscribers were gained organically or artificially
βœ… Broad sense of channel authority in its niche❌ Revenue β€” a 1M sub channel can earn less than a 100K one
βœ… YPP eligibility progress (1,000 sub threshold)❌ Engagement quality or audience loyalty
βœ… Relative size compared to competitors❌ How many subscribers will see each new video

The most revealing derived metric is the subscriber-to-view ratio β€” comparing average views per video to subscriber count. A channel with 500K subscribers averaging 50K views per video has a 10% view rate. A channel with 100K subscribers averaging 40K views has a 40% view rate β€” dramatically more engaged despite being technically smaller.

03

Total Views vs Recent Views β€” What Matters More

Total lifetime views is a compounding number β€” it reflects the entire history of the channel. For very old channels with large libraries, it can be misleading about current performance.

Total Lifetime Views

Useful for...

  • βœ“Estimating a channel's overall authority and longevity
  • βœ“Calculating all-time average views per video
  • βœ“Understanding monetization history (cumulative earnings potential)
  • βœ“Comparing channels founded in the same approximate era

Recent Views (30-day)

Useful for...

  • βœ“Current channel health and algorithm standing
  • βœ“Estimating present-day earnings more accurately
  • βœ“Identifying if a channel is growing, stable, or declining
  • βœ“Evaluating a channel for sponsorship or collaboration relevance

For brands evaluating channels for sponsorships, recent views always matter more than lifetime total. A channel with 500M total views but only 20K views per recent video has algorithmically aged out. A channel with 10M total views but 200K views per recent video is far more commercially relevant.

04

How YouTube Channel Earnings Are Estimated

YouTube does not make channel revenue public. Statly's earnings estimates are derived from a model using publicly observable signals and industry benchmark CPM/RPM ranges. Here's exactly how the calculation works:

1

Estimated monthly views

Derived from public video performance data β€” recent upload frequency multiplied by average views per video, weighted by upload recency. Older videos contribute less to the monthly estimate than recent ones.

2

Content category / niche detection

Channel category, keywords, and video topic signals are used to assign a niche multiplier. Finance and SaaS channels have significantly higher CPMs than gaming or entertainment channels.

3

RPM range application

YouTube's RPM (Revenue Per Mille β€” revenue per 1,000 views after YouTube's 45% cut) typically ranges from $1–$15 for most channels, with finance and B2B channels reaching $20–$50+. A low and high RPM bound produces the earnings range.

4

Geographic audience adjustment

Channels with primarily US, UK, Canadian, and Australian audiences command significantly higher CPMs than channels with Southeast Asian or South Asian majority audiences. Where geo signals are available they're incorporated; otherwise, a mixed-audience average is used.

5

Output as range, not point estimate

Because every input involves estimation uncertainty, earnings are always shown as a low–high range. A channel estimated at '$1,500–$6,000/month' reflects the realistic bounds given the available public data β€” not a guaranteed figure.

Important: These are educational estimates. Actual YouTube earnings depend on advertiser demand, video-level CPM variation, audience geography, watch time, ad format mix, and YouTube's policy decisions β€” none of which are publicly available. Statly's estimates intentionally use conservative assumptions to avoid misleading inflation.

05

Daily, Monthly, and Yearly Earnings β€” What Each Range Means

PeriodHow It's CalculatedBest Used ForKey Caveat
DailyMonthly estimate Γ· 30Benchmarking against daily ad spend or comparing channelsHighly variable β€” video publish days earn much more than quiet days
MonthlyEstimated monthly views Γ— RPM rangeMost useful frame for creator income planningSeasonal CPM variation (Q4 peaks, Q1 dips) can shift this Β±30–50%
YearlyMonthly estimate Γ— 12Long-term revenue projection, investor/business contextAssumes stable view trends β€” growth or decline is not modelled

The monthly estimate is the most reliable of the three. Daily figures are too noisy to act on alone, and yearly figures compound estimation uncertainty across 12 months. For any financial planning, always use the range's lower bound as your conservative assumption.

06

What Is Daily Growth Data and How to Read It

The 30-day daily growth chart shows estimated changes in subscribers and views day-by-day. This is one of the most diagnostically powerful views available from public channel data. Here's what different patterns typically signal:

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Accelerating upward trend

New video performing well, algorithm push, or viral content. Subscriber spikes followed by sustained view elevation suggest durable growth rather than a one-off.

➑️

Flat, consistent trend

Channel is stable and producing predictable output. Revenue estimates are likely most accurate for flat channels because historical patterns repeat.

πŸ“‰

Gradual decline

Reduced upload frequency, algorithm deprioritisation, or audience churn. A channel can appear large but be algorithmically dying β€” daily data reveals this.

⚑

Single spike, then flat

One viral video. The channel hasn't converted viral attention into sustained subscribers or views. Earnings during the spike period will be significantly higher than the norm.

🌊

Irregular, volatile pattern

Inconsistent upload schedule. Irregular creators often show boom-bust view patterns β€” high on upload days, minimal between. Earnings are erratic accordingly.

πŸš€

Sustained multi-week growth

Strongest positive signal. Multiple consecutive weeks of sub and view growth suggest algorithmic reinforcement β€” the algorithm is actively distributing the channel's content.

07

How to Use Channel Stats for Competitive Research

Channel stats pages are not just for understanding individual channels β€” they're a competitive intelligence tool. Here's how to structure a systematic research workflow:

1

Identify your 10 closest competitors

Pull up Statly pages for 10 channels in your exact niche at a similar scale. Note their subscriber counts, video counts, and estimated monthly earnings ranges.

2

Calculate average views per video across all

Divide total views by video count for each channel. This gives you a benchmark for 'average video performance' in your niche β€” and reveals which channels punch above or below their sub count.

3

Compare upload frequency vs view performance

Channels that upload more frequently don't always win. Identify whether higher upload frequency correlates with higher total views in your niche β€” it varies significantly by content type.

4

Track daily growth patterns across the set

Channels showing upward daily growth trends are gaining algorithmic momentum. Study what content strategy changes or new video formats these channels introduced in the 30–60 days before growth accelerated.

5

Use earnings ranges to size the niche

Aggregate the monthly earnings estimates across your top 10–20 competitors to get a rough sense of total niche ad revenue. This helps calibrate whether ad revenue alone can support a viable creator business in that space.

08

What the Global Rank Means on Statly

Statly's global rank is a subscriber-based ranking relative to all channels indexed in Statly's database. It is not an official YouTube metric and does not reflect YouTube's own internal ranking systems.

πŸ“Š

What it is

A relative ranking by subscriber count within Statly's indexed channel set. Rank #1 is the most-subscribed channel in the database.

⚠️

What it isn't

An official YouTube ranking, a measure of video quality, or a proxy for earnings. Two channels with similar subscriber counts can have wildly different engagement and revenue.

βœ…

When it's useful

For comparing channel scale in a specific niche or understanding where a channel sits within the broader YouTube ecosystem by a simple, universal metric.

09

YouTube Analytics vs Public Data β€” Key Differences

MetricYouTube Studio (Private)Statly / Public Data
Subscriber countExact, real-timePublic approximate (rounds at scale)
Watch timeExact hoursEstimated from views Γ— avg duration model
Revenue (AdSense)Exact to the centEstimated range β€” not accessible publicly
Impressions CTRExact percentageNot available publicly
Audience geographyBreakdown by countryNot available publicly
Traffic sourcesFull breakdown (search, suggested, etc.)Not available publicly
Subscriber sourcesWhich videos drove subscriptionsNot available publicly
Average view durationExact secondsIndustry-average estimate by content category
Video views (recent)Exact, up to the hourPublic count β€” updated periodically
10

What Factors Actually Drive Channel Revenue

Understanding what determines a channel's earnings helps both creators building their own channels and brands evaluating creator ROI. These are the factors with the largest impact:

🌍

Audience geography

5–10Γ— impact

A US-audience channel can earn 5–10x more per view than an equivalent channel with a primarily South Asian or Southeast Asian audience, due to advertiser CPM differences.

πŸ“‚

Content niche

3–5Γ— impact

Finance, SaaS, and legal content command CPMs of $15–$50+. Gaming and entertainment average $2–$5. The niche is the dominant long-term revenue variable after geography.

⏱

Video length & watch time

2–3Γ— impact

Longer videos qualify for mid-roll ads. A 15-minute video with strong retention can deliver 3–5 ad impressions vs. 1 for a sub-8-minute video β€” multiplying effective CPM.

πŸ“…

Upload timing / season

1.5–2Γ— impact

Q4 (October–December) sees the highest advertiser CPMs of the year as brands compete for holiday budgets. Q1 CPMs can drop 40–60% below Q4 peaks.

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Engagement quality

1.5Γ— impact

Higher engagement signals algorithm confidence, leading to more impressions and views per video β€” compounding over time into meaningful revenue differences.

πŸ”

Upload consistency

1.2–1.5Γ— impact

Channels that publish consistently maintain algorithm standing better than irregular publishers. The compounding effect of regular publishing on views and revenue is significant over a 12-month window.

11

How to Grow a Channel Based on Public Data Insights

Statly's public channel data can directly inform your content strategy β€” not just for understanding competitors, but for diagnosing and improving your own channel's performance.

πŸ”

Diagnose your subscriber-to-view ratio

If your view rate (average views Γ· subscribers) is below 5%, your audience is disengaged. This usually signals that early content attracted subscribers who your current content no longer serves β€” a common post-pivot problem. The fix is either reconverting existing subscribers with explicit value-proposition content, or effectively treating your channel as starting over with a new audience.

πŸ“Š

Use competitor daily growth patterns as timing signals

If a competitor's daily growth chart shows a sharp upward inflection at a specific date, cross-reference what they published in the preceding 2–3 weeks. Algorithm momentum is typically earned by a specific content type that then gets systematically distributed. Identifying this pattern before it's obvious to everyone else gives you a meaningful head-start.

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Use earnings estimates to validate niche selection

Before investing heavily in a content direction, check Statly earnings estimates for established channels in that niche. If the top 20 channels average $2K–$5K/month at 200K subscribers, factor that into your creator business model β€” especially if you're considering it as a primary income source.

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Benchmark your video output against similar-size channels

Compare your videos-per-month and average views-per-video against channels with a similar subscriber count. If competitors publish 3–4x more content and average 2x your views per video, volume is likely part of the performance gap β€” not quality alone.

πŸ“ˆ

Set growth targets anchored in real data

Instead of arbitrary subscriber goals, set targets based on what you see in channel data: 'I want to reach the earning bracket of channels at 150K–200K subscribers in my niche, which Statly shows averaging $X–$Y/month.' Data-anchored targets are far more motivating and strategically useful than vanity milestones.

12

Frequently Asked Questions

Are the earnings shown on Statly channel pages accurate?+
Statly's earnings are educational estimates derived from public channel data, industry CPM benchmarks, and niche multipliers. They represent a plausible range β€” not guaranteed figures. Actual YouTube revenue depends on private metrics (advertiser demand, exact watch time, geography breakdown) that are not publicly available.
Why do Statly's subscriber counts sometimes differ from YouTube's?+
YouTube updates public subscriber counts periodically and rounds them for large channels. Statly pulls these public counts but may have a slight lag depending on cache refresh timing. For exact, real-time counts, YouTube's own channel page is the authoritative source.
Can I see stats for any YouTube channel?+
Yes. Statly's channel pages work for any publicly accessible YouTube channel β€” there's no requirement for the channel owner to opt in or connect their account. All data is sourced from YouTube's public API and public channel information.
What does the daily growth chart show?+
The 30-day daily growth chart shows estimated changes in subscriber count and views over the past month. It's built from periodic snapshots of public channel data β€” useful for spotting growth acceleration, decline trends, or the aftermath of viral content.
Why is the earnings range so wide for some channels?+
Earnings ranges reflect genuine uncertainty in estimating private revenue from public signals. Channels with ambiguous niches, mixed audience geographies, or atypical upload patterns produce wider ranges. A narrower range indicates more consistent, predictable public signals.
Does Statly access any private YouTube or AdSense data?+
No. Statly uses only publicly available YouTube data β€” subscriber counts, total views, video counts, and public video metadata. It does not access YouTube Studio, AdSense accounts, or any private channel analytics.
What is the global rank on a Statly channel page?+
The global rank is a subscriber-based ranking relative to channels indexed in Statly's database. It is not an official YouTube metric. Rank #1 is the most-subscribed channel in Statly's index. The rank updates as new channels are indexed and existing channels grow.
How do I find a specific channel on Statly?+
Use the search bar at the top of any Statly page to find a channel by name, handle (@username), or YouTube URL. You can also navigate directly to statly.in/channel/@handle or statly.in/channel/CHANNEL_ID.
Why do some channels not have earnings data?+
Earnings estimates require a minimum number of public signals β€” sufficient video count, recent upload activity, and view history. Very new channels, channels with all videos privated, or channels with fewer than ~10 public videos may not have enough data to generate a reliable earnings estimate.

Disclaimer: All channel statistics, earnings estimates, and growth data shown on Statly are derived from publicly available YouTube data and industry benchmark models. Results are for educational and research purposes only. Statly does not access private YouTube Studio analytics, AdSense data, or any login-protected information. Actual YouTube earnings, engagement, and growth depend on private factors not available publicly. Statly is not affiliated with, endorsed by, or associated with YouTube or Google LLC.