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Channel audit · @StudyBuzz-n5v

@StudyBuzz-n5v Channel Audit: 23.2K Subs, 535 Videos, Real Numbers

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@StudyBuzz-n5v sits at 23,200 subscribers with 535 uploaded videos and 17,473,668 lifetime views — that's roughly 32,660 views per video lifetime average, which is unusually high for a sub-count this size. The channel is India-based, in the productivity and study motivation niche, run by a CS aspirant.

Channel data · captured Jun 21, 2026

Handle
@StudyBuzz-n5v
Subscribers
23,200
Videos
535
Country
India

For Business queries:- studybuzz756@gmail.com Life goes on 。◕‿◕。 Hi there Thank you so much for taking out your precious time and viewing my channel I am CS aspirant ...... I create videos surrounding productivity, study motivation, life motivation, wellness & student life! to be honest there's a little bit of everything so I hope you stick around"} I make video to motivate my self. if you like my content. Please subscribe to my channel and comment, like and share. And join my YouTube

The first thing that jumped out reading this channel's numbers: the lifetime view-to-subscriber ratio is off the charts. 17.4M views across 23,200 subs works out to about 753 views per subscriber over the channel's lifetime. For context, a healthy productivity channel usually sits around 200-400. That tells me at some point — probably earlier in the 535-video run — something hit. Either an algorithmic spike on one or two videos, or a sustained run of recommended placements that pulled in viewers who never converted to subs.

Here's where it gets weird though. The recent 8 uploads pulled in titles that didn't come through in the scrape (all showing as blank strings, 0 views) — which usually means either the videos are very fresh, unlisted, or there's a scraping hiccup. I'll be honest, I can't fully diagnose what's happening with current performance from outside without that data. But the structural picture from the lifetime numbers is real: 535 videos to reach 23.2K subs is a low conversion rate per upload — roughly 43 new subs per video on average over the channel's life. Productivity creators who break out usually hit a multiplier somewhere past video 100, not the slow linear climb this pattern suggests.

The niche positioning is worth talking about. "CS aspirant" in the Indian context is specific — that's someone studying for the Company Secretary professional exam, which is a multi-year grind with three levels (Foundation, Executive, Professional). That's actually a sharper audience than "general productivity" if it's leaned into. India has roughly 400K active CS students at any given time and almost no creators serving them with study motivation content specifically. The channel description hedges — "productivity, study motivation, life motivation, wellness & student life... a little bit of everything" — which is the tension. The audience that would convert hardest is CS aspirants specifically, but the content positioning is broad lifestyle.

The "little bit of everything" line in the description is the diagnosis honestly. When I see a channel with 535 videos and a 32K views-per-video lifetime average but only 23K subs, the usual culprit is topical drift. Each video probably pulls a different audience segment — some land via productivity searches, some via motivation, some via student-life vlogs — and none of them stack up into a subscriber base that recognizes the channel as their channel. The CS angle is the unfair advantage that's getting diluted.

The upload cadence on the last 8 being all long-form (zero Shorts in the recent window) is also notable for 2026 platform behavior. Most India-based motivation and study channels in this band — sub-50K, productivity adjacent — have leaned at least 30-50% into Shorts because of how the discovery weighting works on YT's home feed in India right now. Going pure long-form against that current is a choice. It can work if the long-form is genuinely magnetic, but with the recent uploads showing 0 average views in the data, there's not enough signal here to tell whether that choice is paying off currently or whether the channel is in a flat patch.

The forward-looking thing that would actually move the needle: pick one of the next 10 uploads and make it explicitly CS-aspirant-specific. Something like "how I'm studying for CS Executive Module 2" or "my December attempt prep routine." Watch what happens. If it doubles or triples a typical view, the audience is there and waiting. If it lands flat, then the current subscriber base actually wants the broad motivation content and the niche pivot wouldn't help. That's a cheap experiment and it'd answer the strategic question better than any audit ever could.

One aside — 535 videos is a lot. That's roughly 134 videos per year averaged across four years, which is a brutal cadence for a single creator running a channel solo. There's probably an archive of older content here that could be re-cut into Shorts almost for free. Most creators with a back catalog this deep are sitting on six months of Shorts content they haven't repurposed yet.

Common questions

How many subscribers does @StudyBuzz-n5v have?

@StudyBuzz-n5v currently has 23,200 subscribers as of June 2026. The channel has uploaded 535 videos total and accumulated 17,473,668 lifetime views. That works out to roughly 753 views per subscriber over the channel's run, which is well above the 200-400 typical range for productivity channels at this size — suggesting the channel pulled significant non-subscriber traffic from recommendations and search at some point, but didn't convert that traffic into subs at the rate you'd expect.

What niche is @StudyBuzz-n5v in?

Based on the channel description, @StudyBuzz-n5v is in the productivity and study motivation niche, run by a creator who identifies as a CS (Company Secretary) aspirant in India. The stated content mix covers productivity, study motivation, life motivation, wellness, and student life. The CS aspirant angle is unusually specific — it's a professional exam track in India with hundreds of thousands of active students — but the broader content positioning isn't leaning into that specificity in the description.

How often does @StudyBuzz-n5v upload?

Across 535 videos over roughly four years of activity, @StudyBuzz-n5v averages about 134 uploads per year, or roughly 2-3 videos per week. The last 8 uploads in the scraped data are all long-form (no Shorts), which is a notable choice given that most India-based motivation channels in the sub-50K band have shifted at least 30-50% of their output to Shorts to align with current YouTube India discovery behavior.

Why does @StudyBuzz-n5v have so many lifetime views vs. subscribers?

The ratio is striking — 17.4M lifetime views against 23,200 subs is about 753 views per subscriber, roughly 2-3x the normal range for the productivity niche. The likely explanation is topical drift across 535 videos: when content swings between productivity, motivation, wellness, and student life, each video pulls a different audience that doesn't recognize the channel as theirs. High view counts, low sub conversion. The CS aspirant identity in the description is the sharpest hook the channel isn't fully using yet.

What's the biggest growth gap visible in @StudyBuzz-n5v's data?

Positioning specificity. The channel description literally says "a little bit of everything," which is honest but works against subscriber conversion. With 535 videos already produced and a CS aspirant identity that almost no Indian creators serve directly, the gap is narrowing to one audience. A test upload explicitly tagged for CS Foundation or Executive students would either spike (audience confirmed) or land flat (broad motivation is the real audience). Either result would clarify the next 100 videos.

What can other Indian study creators learn from @StudyBuzz-n5v?

Two things stand out. First, you can build a 17M-view channel with broad motivation content — the lifetime numbers prove the demand is real in India. Second, view-count growth and subscriber growth are different problems. @StudyBuzz-n5v solved the views side (recommendations clearly worked at some point) but the sub conversion rate suggests broad content doesn't compound into channel identity. Creators starting now should probably pick a sharper niche from day one — even if the addressable audience feels smaller — because the conversion math is better.

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