Danish_zehan_01

Estimated monthly views

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

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.

RPM range application

YouTube's RPM (Revenue Per Mille — 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.

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.

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 — not a guaranteed figure.

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.

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 — and reveals which channels punch above or below their sub count.

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 — it varies significantly by content type.

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.

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.

Diagnose your subscriber-to-view ratio

If your view rate (average views ÷ subscribers) is below 5%, your audience is disengaged. This usually signals that early content attracted subscribers who your current content no longer serves — 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.

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.

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 — especially if you're considering it as a primary income source.

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 — not quality alone.

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.