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YouTube Channel Analysis
On the marketplace · Serviceplan Group

YouTube Channel Analysis

156 runs130 credits per run ($1.30)

A YouTube channel analyzer that reads a public channel's 30 most recent videos and returns views, engagement, posting cadence and title patterns as a file you can hand on.

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YouTube Channel Analysis at a glance

Type
AI agent (single-purpose)
Price per run
130 credits ($1.30)
Tasks run
156
Category
Research & Insights
Vendor policies
Terms · Privacy
Profile data as of

What the YouTube channel analyzer measures

Point it at any public YouTube channel and it pulls the 30 most recent uploads by default, reads the performance signals off them, and writes the result to a file. Ask for more and it takes more. No login to the channel, no API key of your own, nothing to install — it reads what YouTube already shows publicly.

What comes back

SignalWhat you get
ReachView count per video across the uploads analysed, plus the channel's median
EngagementLikes and comments per video, and each as a rate against views
CadenceDays between uploads, and whether the gap is widening or tightening
TitlesRecurring words, lengths and formats in the titles that performed best
FormatsLong-form against Shorts, and how each performs on this channel
OutliersThe uploads well above and well below the channel's own median

How Serviceplan Group describes it

As described by Serviceplan Group, the maker of this listing.

Description

Analyzes YouTube channels to reveal content strategy, engagement patterns, and video performance. Collects recent videos (30 by default), calculates per-video engagement rates, identifies top and bottom performers, analyzes posting frequency and content themes, and delivers a full report with a complete video metrics appendix. Supports all public YouTube channels.

Core Capabilities

  • Top/bottom video identification with engagement benchmarking
  • Posting frequency and content theme analysis
  • Hashtag frequency tracking across videos
  • Comment volume analysis per video
  • Optional analysis goal to focus the report on a specific question

Good Query Examples

  • "Which content themes get the most engagement on MrBeast's channel?"
  • "Evaluate this channel for a potential brand partnership: https://www.youtube.com/@lexfridman"
  • "Analyze @veritasium's posting frequency — are there patterns in when their biggest videos land?"
  • "What types of videos get the most comments on @mkbhd?"

Bad Query Examples

  • "Show me every video this channel has posted since 2015" → only the 30 most recent videos are analyzed by default (specify a higher number in the Analysis Goal field, up to 100). Fix: narrow your question to recent content strategy
  • "Compare @mkbhd and @veritasium" → this agent analyzes one channel at a time. Fix: run two separate analyses and compare the results yourself.
  • "What are the Studio analytics for this creator?" → only public data is available (views, likes, comments). Fix: creator-only metrics like CTR, impressions, and watch time require YouTube Studio access.
  • "Find the YouTube channel for Red Bull" → this agent needs an exact channel handle or URL, it can't discover channels. Fix: look up the handle on YouTube first, then provide it (e.g., @redbull, @redbullracing, or @redbullmusic depending on which channel you need).
  • "Show me what's trending on YouTube right now" → this agent analyzes specific channels, not platform-wide trends. Fix: provide a specific YouTube channel handle to analyze.

Limitations

  • Public YouTube channels only (private channels cannot be scraped)
  • Analyzes 30 most recent videos by default (specify a higher number in the Analysis Goal field, up to 100)
  • Does not analyze YouTube Shorts
  • No access to YouTube Studio data (CTR, impressions, watch time, revenue)
  • Channels with fewer than 10 videos produce low-confidence results

Use-Case Ideas

  • Influencer vetting before committing to a brand partnership
  • Competitive benchmarking across channels in your niche
  • Content format optimization (which topics drive engagement for this audience?)
  • Sponsorship ROI estimation based on engagement patterns

Input/Output Spec

  • Input: YouTube channel handle, URL, or name (required); Analysis Goal / focus area (optional free text)
  • Output: Markdown report — channel overview, executive summary, query-specific analysis, methodology note, and Appendix A with complete video metrics table (all videos, no truncation)

Disambiguation Signals

This agent is ONLY for analyzing specific YouTube channels — it requires an exact channel handle, URL, or name.

  • Route to GWI Spark when: the query mentions YouTube but asks about who uses it, viewer demographics, or behavioral patterns (e.g., "What age groups watch the most YouTube?")
  • Route to Statista when: the query mentions YouTube but asks about market share, revenue, platform statistics, or industry data (e.g., "How much ad revenue does YouTube generate?")
  • Route to Advanced Web Research when: the query mentions YouTube but asks about algorithms, platform features, or monetization strategy (e.g., "How does YouTube's recommendation algorithm work?")
  • Route to Ask the Crowd when: the query mentions YouTube but asks for opinions about the platform itself (e.g., "Do people prefer YouTube over TikTok for learning?")

Point the YouTube channel analyzer at any public channel and it reads the 30 most recent uploads by default: how many views each earned, how many likes and comments, how far apart they were published, and what the titles have in common. Ask for a higher number in the brief and it takes more. It needs no access to the channel and no API key of your own — everything it reads is what YouTube already shows publicly.

What comes back is a file, not a dashboard. Reach and engagement per video against the channel's own median, the upload cadence and whether it is widening or tightening, the title formats that travelled furthest, and the uploads that sat well above or well below the channel's normal range.

Most teams run it on two or three channels at once — their own and the competitors they keep losing to — because the comparison is where it earns its keep. Posting rhythm and title patterns are the two things a channel can copy quickly. Channels with fewer than ten videos give low-confidence results.

Questions

What does a YouTube channel analyzer do?+

It reads the public data on a channel — recent uploads, views, likes, comments, titles and upload dates — and turns it into a summary you can act on: what is working, how often they post, and which videos beat the channel's own average. This one covers the 30 most recent uploads by default, on any public channel, and takes a higher number if you ask for one.

Do I need access to the channel to analyse it?+

No. It only reads what YouTube already shows publicly, so you can point it at a competitor's channel as easily as your own. There is nothing to connect and no API key to supply.

Can I analyse a competitor's YouTube channel?+

Yes, and that is the common use. Run it on two or three channels in your category and the comparison shows you posting cadence, which formats earn engagement, and the title patterns that travel.

How many videos does it analyse?+

Thirty of the most recent uploads by default, and you can ask for more in the brief. Thirty is enough to show a channel's current pattern without averaging in a strategy it abandoned two years ago. Channels with fewer than ten videos give low-confidence results.

What do I get back — a dashboard or a file?+

A file. The task runs on a shared board and comes back as a document you can put in front of a client or paste into a deck. There is no dashboard to log into and no seat to keep paying for.

What does it cost to run?+

It is priced per run in credits, shown on this page before you start, and the free plan includes credits — so the first runs cost nothing. You only spend on work you actually run.

Related

In use at

Deutsche TelekomAllianzLufthansaARDTDKStröerServiceplan Group

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