Claude Prompt Library

YouTube Analytics Into a Weekly Action Plan

30 copy-paste prompts

Paste Studio numbers into Claude. Fill [PLACEHOLDERS]. Get a written diagnosis and the next 3 actions, not a dashboard file.

In short: This page contains 30 copy-paste ready prompts, organized into 6 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Hand-curated and tested by the AI Academy team.

Louis Corneloup
By Louis Corneloup · Founder, Techpresso
Last updated ·Hand-curated & tested by the AI Academy team

Retention

5 prompts

Audience Retention Curve Diagnosis

1/30

✨ What it does

Claude reads the pasted audience-retention percentages for [VIDEO TITLE] and names the three drop-off timestamps with a likely cause for each. Export the retention graph from YouTube Analytics, paste the numbers, then recut the first flagged beat in Studio.

You are a YouTube strategist who reads pasted Analytics, not live Studio. <context> I need a written retention diagnosis for one video. Name where viewers leave and what to fix. Do not build a dashboard, chart HTML, or any file. Use only the pasted curve. If a timestamp or percentage is missing, say so. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Video length: [VIDEO LENGTH] - Date range of the report: [DATE RANGE] - Pasted audience-retention points (timestamp and remaining percent): [PASTED RETENTION CURVE] - What happens on screen at the big drops, if I know: [ON SCREEN AT DROPS] </inputs> <task> Read [PASTED RETENTION CURVE] for [VIDEO TITLE]. Mark the three worst drop-offs. For each, give the timestamp, the size of the drop, a likely cause from the footage notes, and whether the fix is a recut, a chapter, or a shorter open. Do not invent points I did not paste. </task> <constraints> - No YouTube API, no guessed averages, no industry benchmarks I did not supply. - No HTML, CSS, SVG, or dashboard layout. </constraints> <format> Write a short memo: verdict in 4 lines, then a table of the three drops, then the next 3 actions I can take in YouTube Studio this week. </format>

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Pro tip: Paste timestamp plus remaining percent pairs. Claude cannot see the graph image, only the numbers you type.

First 30 Seconds Drop

2/30

✨ What it does

Claude diagnoses the first 30 seconds of [VIDEO TITLE] from the pasted 0 to 30 second retention points and writes a tighter open. Copy the early retention row from Analytics, then trim or rewrite the hook in YouTube Studio.

You are a YouTube strategist who treats the open as a retention problem, not a slogan contest. <context> I have early retention numbers for one video. I need a written call on whether the hook, the intro branding, or the first promise is dumping viewers. Analysis and actions only. No dashboard. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Current hook line on screen: [HOOK LINE] - Intro length before the lesson starts: [INTRO LENGTH] - Pasted 0s, 10s, 15s, 30s remaining percent: [PASTED EARLY RETENTION] - Average view duration if I have it: [AVERAGE VIEW DURATION] </inputs> <task> Diagnose the first 30 seconds of [VIDEO TITLE] from [PASTED EARLY RETENTION]. Say whether the leak is curiosity, pacing, or a broken promise. Rewrite one tighter open in 4 spoken lines that matches what the video actually delivers. If the early numbers look healthy, say so and do not invent a crisis. </task> <constraints> - Use only pasted percents. Do not claim access to YouTube Studio. - Do not write HTML or a chart. </constraints> <format> Memo with: health of the open, the leak, the 4-line rewrite, then the next 3 actions in Studio (trim, voiceover, or leave it). </format>

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Pro tip: Include how long the logo sting lasts. A 12 second brand bumper often explains a 10 second cliff better than the title.

Mid-Video Cliff Finder

3/30

✨ What it does

Claude finds the mid-video cliff on [VIDEO TITLE] from the pasted retention table and recommends one cut, one recut, or one chapter label. Paste the mid-roll percentages from Analytics, then apply the chosen fix in the Studio editor.

You are a YouTube editor-strategist who finds the minute a video loses the room. <context> The video holds early, then falls. I need the cliff named and one fix I can make without a full reshoot. Written memo only. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Video length: [VIDEO LENGTH] - Pasted mid-roll retention table (minute and percent): [PASTED MID RETENTION] - Chapter list if I published one: [CHAPTER LIST] - What I cover in the middle third: [MIDDLE THIRD TOPICS] </inputs> <task> Find the steepest mid-video cliff on [VIDEO TITLE] using [PASTED MID RETENTION]. Say if the cause looks like a topic change, a rant, a demo that overruns, or a missing chapter. Recommend exactly one of: cut 30 to 90 seconds, recut that beat, or add a chapter label. Explain why the other two options are weaker this week. </task> <constraints> - Do not invent a cliff if the pasted table is flat. - No API, no HTML dashboard. </constraints> <format> Cliff timestamp, size of drop, cause, chosen fix, then the next 3 actions in the Studio editor. </format>

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Pro tip: Paste minute-level rows, not a screenshot. If you only have three points, say so Claude does not invent a fake valley.

End Screen Retention Check

4/30

✨ What it does

Claude checks how [VIDEO TITLE] holds viewers through the last 20 percent using your pasted tail numbers and writes a better end-screen plan. Pull the end-card retention from Analytics, then move the card earlier in Studio if Claude says the outro is too long.

You are a YouTube strategist who protects the last fifth of a video so end screens can work. <context> I need a written read on the tail of one video: does the outro kill the card, or is the card too late? No dashboard file. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Video length: [VIDEO LENGTH] - When the end screen starts: [END SCREEN START] - Outro style: [OUTRO STYLE] - Pasted retention for the last 20 percent of runtime: [PASTED TAIL RETENTION] - End-screen click metrics if I have them: [END SCREEN CLICKS] </inputs> <task> Check how [VIDEO TITLE] holds through the last 20 percent using [PASTED TAIL RETENTION]. Say whether to shorten the outro, move the card earlier, or change the card target. If [END SCREEN CLICKS] is missing, diagnose retention only and list what I should export next. </task> <constraints> - Do not guess click-through on the card if I did not paste it. - Written memo, not HTML. </constraints> <format> Tail verdict, recommended card timing, then the next 3 actions in YouTube Studio. </format>

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Pro tip: Write the exact timestamp the end screen appears. A card that starts after a 40 second subscribe speech is usually too late.

Side-by-Side Retention Compare

5/30

✨ What it does

Claude compares pasted retention curves for [VIDEO TITLE] and [COMPARISON VIDEO] and says which structure to copy next week. Export both curves from Analytics into one paste, then change the weaker video's chapters or hook in Studio.

You are a YouTube strategist who copies structure from the video that actually holds. <context> I have retention curves for two videos in the same niche. I need a written compare that tells me which structure to reuse. Not a chart file. </context> <inputs> - Channel: [CHANNEL] - Video A title: [VIDEO TITLE] - Video B title: [COMPARISON VIDEO] - Date range: [DATE RANGE] - Pasted retention curve A: [PASTED RETENTION A] - Pasted retention curve B: [PASTED RETENTION B] - Formats (tutorial, story, list): [FORMAT A] and [FORMAT B] </inputs> <task> Compare [VIDEO TITLE] and [COMPARISON VIDEO] using only the pasted curves. Say which open, middle, and close holds better, and which structural habit I should steal for the next upload. If one curve is incomplete, say the compare is partial. </task> <constraints> - No invented percentages. No YouTube API. No HTML dashboard. </constraints> <format> Two-column prose compare (not a webpage), winner by section, then the next 3 actions for the next video in Studio. </format>

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Pro tip: Pick two videos of similar length. A 8 minute tutorial versus a 35 minute stream will teach Claude the wrong lesson.

Traffic Sources

5 prompts

Traffic Mix Reality Check

6/30

✨ What it does

Claude reads the pasted traffic-source mix for [CHANNEL] over [DATE RANGE] and ranks which surfaces actually grow the channel. Export the traffic sources table from YouTube Analytics, then change this week's packaging toward the top source Claude names.

You are a YouTube strategist who treats traffic mix as a weekly steering wheel. <context> I pasted channel traffic sources. I need a written read of which surfaces are real growth and which are leftovers. No dashboard HTML. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted traffic-source table (source, views, watch time, average view duration): [PASTED TRAFFIC MIX] - Videos I published in this range: [UPLOAD LIST] - Goal for the next 30 days: [GROWTH GOAL] </inputs> <task> Read [PASTED TRAFFIC MIX] for [CHANNEL] over [DATE RANGE]. Rank sources by useful watch time, not vanity views. Say which surface should get this week's packaging energy and which source I should stop chasing. Flag any source that looks large in views and weak in watch time. </task> <constraints> - Use only pasted rows. Do not invent YouTube averages or API totals. - No charts, no HTML. </constraints> <format> Source ranking in prose, one warning, then the next 3 actions (title, thumbnail, or topic) I can do in Studio. </format>

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Pro tip: Paste views and watch time for each source. Views alone make Browse look healthier than it is.

Browse Versus Search Split

7/30

✨ What it does

Claude splits the pasted Search and Browse rows for [VIDEO TITLE] and says which surface should own the title this week. Open Analytics traffic sources, paste both rows, then retitle or leave the keyword in Studio based on the call.

You are a YouTube packaging strategist who picks one surface per video. <context> One video cannot pretend it is a Search winner and a Browse winner with the same title. I need a written call from pasted source rows. No dashboard. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Live title and thumbnail text: [LIVE PACKAGING] - Pasted YouTube Search row: [PASTED SEARCH STATS] - Pasted Browse features row: [PASTED BROWSE STATS] - Primary keyword I wanted: [PRIMARY KEYWORD] </inputs> <task> Split Search versus Browse for [VIDEO TITLE] using the pasted rows. Say which surface already pays. Recommend keep, retitle toward [PRIMARY KEYWORD], or rewrite for Browse curiosity. If both rows are thin, say the video does not have a surface yet and give one test, not two at once. </task> <constraints> - Do not invent impression counts I did not paste. - Written memo only. </constraints> <format> Surface winner, packaging recommendation, then the next 3 actions in YouTube Studio. </format>

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Pro tip: If Search views are high and Browse CTR is weak, do not stuff the keyword. Fix the Browse line in a later test.

Suggested Feed Diagnosis

8/30

✨ What it does

Claude diagnoses Suggested traffic for [VIDEO TITLE] from the pasted Suggested impressions and views and names one packaging change. Copy the Suggested row from Analytics, then update the title or thumbnail in Studio and leave it for 48 hours.

You are a YouTube strategist who reads Suggested as a packaging and topic-neighbor problem. <context> I want a written diagnosis of Suggested traffic for one video. I will paste impressions, views, and CTR if I have them. No API. No dashboard. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Pasted Suggested impressions, views, CTR: [PASTED SUGGESTED STATS] - Videos Suggested next to mine, if I copied titles: [SUGGESTED NEIGHBORS] - My last three titles in this series: [RECENT TITLES] </inputs> <task> Diagnose Suggested for [VIDEO TITLE] from [PASTED SUGGESTED STATS]. Say if the problem is impressions (YouTube is not showing it), CTR (people skip the package), or both. If [SUGGESTED NEIGHBORS] is present, name one neighbor topic I should film toward. Give one packaging change, not a full rebrand. </task> <constraints> - Missing Suggested CTR is allowed. Say what I should export next. - No HTML, no invented neighbor titles. </constraints> <format> Diagnosis, one packaging change, then the next 3 actions in Studio. </format>

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Pro tip: Change title or thumbnail, not both, after this prompt. Suggested CTR tests need a clean read.

External and Playlist Sources

9/30

✨ What it does

Claude reviews pasted External and Playlist rows for [CHANNEL] in [DATE RANGE] and picks one off-platform or playlist move. Export those source rows from Analytics, then add the recommended playlist or link in Studio.

You are a YouTube strategist who treats External and Playlist as owned surfaces you can still steer. <context> I pasted External and Playlist rows. I need a written plan for one off-platform move and one playlist move. Not a dashboard. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted External traffic rows (source and views): [PASTED EXTERNAL] - Pasted Playlist traffic rows: [PASTED PLAYLISTS] - Playlists I already run: [PLAYLIST NAMES] - Places I already share videos: [SHARE DESTINATIONS] </inputs> <task> Review External and Playlist traffic for [CHANNEL] in [DATE RANGE]. Pick one external source worth feeding and one playlist that should get a new first video or a better title. Kill any source that is noise. If a row is just Direct or Unknown, say I cannot act on it. </task> <constraints> - Do not invent referrers I did not paste. - No HTML dashboard. </constraints> <format> Keep / kill list, then the next 3 actions (playlist order in Studio, or one share I actually do). </format>

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Pro tip: Paste the real referrer names YouTube shows. 'External' as a lump total is not enough to pick a site.

New Viewer Source Hunt

10/30

✨ What it does

Claude hunts where new viewers found [CHANNEL] from the pasted New viewers by source table and names one surface to feed. Download the New viewers report from Analytics, paste it, then schedule the next upload to serve that source in Studio.

You are a YouTube growth strategist who cares where first-time viewers arrive. <context> I pasted New viewers by source. I need a written hunt: which surface is minting new people, and what to publish to feed it. Memo only. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted New viewers by source: [PASTED NEW VIEWERS] - Subscriber count: [SUBSCRIBER COUNT] - Topics I can film this week: [FILMABLE TOPICS] </inputs> <task> Hunt where new viewers found [CHANNEL] from [PASTED NEW VIEWERS]. Name the top source, the weakest useful source, and one video idea from [FILMABLE TOPICS] that serves the top source. If returning viewers dominate the paste, say the channel is looping fans and the next video should recruit, not deepen. </task> <constraints> - No invented unique-viewer counts. - No dashboard HTML. </constraints> <format> Source hunt, one video idea, then the next 3 actions in Studio (draft title, playlist, publish time). </format>

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Pro tip: Use the New viewers report, not total views. A loyal playlist can look huge and still add nobody new.

CTR and Packaging

5 prompts

Impression CTR Diagnosis

11/30

✨ What it does

Claude reads impression and CTR numbers for [VIDEO TITLE] and says whether the click problem is reach, packaging, or both. Paste impressions and CTR from the Reach tab in Analytics, then change only the title or only the thumbnail in Studio.

You are a YouTube packaging strategist who separates a reach problem from a click problem. <context> I pasted impressions and CTR for one video. I need a written diagnosis and three actions. Not a dashboard or a thumbnail mockup file. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Date range: [DATE RANGE] - Pasted impressions, CTR, and views: [PASTED REACH STATS] - Live title: [LIVE TITLE] - Thumbnail text on the image: [THUMBNAIL TEXT] </inputs> <task> Read [PASTED REACH STATS] for [VIDEO TITLE]. Say whether the problem is low impressions, low CTR, or healthy CTR on a tiny impression pool. Recommend one packaging move that matches the diagnosis. If CTR is fine and impressions are tiny, do not rewrite the title for sport. </task> <constraints> - Do not invent a good CTR benchmark. Judge from the pasted numbers and the title's honesty. - No HTML, no image generation. </constraints> <format> Diagnosis in 5 lines, then the next 3 actions in YouTube Studio (change one thing, wait, measure). </format>

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Pro tip: Bring impressions, not just CTR. A 12 percent CTR on 400 impressions is not a packaging win yet.

Title or Thumbnail Blame

12/30

✨ What it does

Claude assigns blame between title and thumbnail for [VIDEO TITLE] using pasted CTR, impressions, and your current packaging copy. Paste those fields from Analytics, then swap one element in Studio and wait two days before judging.

You are a YouTube packaging strategist who assigns blame with the numbers you have, not vibes. <context> CTR is weak or mixed. I need a written call: title, thumbnail, or mismatch between them. I will still edit Studio myself. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Live title: [LIVE TITLE] - Thumbnail text and subject: [THUMBNAIL TEXT] - Pasted CTR and impressions: [PASTED CTR] - Traffic mix if known: [TRAFFIC MIX] - What the video delivers: [PAYOFF] </inputs> <task> Assign blame for [VIDEO TITLE] using [PASTED CTR], [LIVE TITLE], and [THUMBNAIL TEXT]. Say title, thumbnail, or mismatch. Write 3 replacement titles and 3 thumbnail-text lines that still match [PAYOFF]. Rank one pair to test first. Do not tell me to change both on the same day. </task> <constraints> - No API. No fake CTR targets. No HTML mockups. </constraints> <format> Blame call, ranked pair, then the next 3 actions (what I paste into Studio today, tomorrow, and after 48 hours). </format>

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Pro tip: Type the words that are actually on the thumbnail. Claude cannot see the JPEG.

Packaging Swap Plan

13/30

✨ What it does

Claude writes a packaging swap plan for [VIDEO TITLE] from pasted CTR history and the live title and thumbnail text. Copy the CTR by day from Analytics, then load the recommended pair into a Studio test.

You are a YouTube strategist who plans one clean packaging test from daily CTR. <context> I have daily CTR for a live video. I need a written swap plan with a start date and a hold period. No dashboard. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Live title: [LIVE TITLE] - Thumbnail text: [THUMBNAIL TEXT] - Pasted CTR by day: [PASTED DAILY CTR] - Impressions by day if I have them: [PASTED DAILY IMPRESSIONS] - Date I can swap: [SWAP DATE] </inputs> <task> Write a packaging swap plan for [VIDEO TITLE] from [PASTED DAILY CTR]. Say if the series is still falling, already flat, or too young to judge. Give one new title, one new thumbnail line, and which one to swap on [SWAP DATE]. State how many days I must wait before reading the test. </task> <constraints> - If I have fewer than 3 daily rows, say the test is premature. - No HTML, no API. </constraints> <format> Plan, the copy to paste, then the next 3 actions with calendar days. </format>

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Pro tip: Export at least 5 days of CTR. One bad Tuesday is not a swap signal.

Low CTR High Retention

14/30

✨ What it does

Claude treats [VIDEO TITLE] as a hidden gem from pasted low CTR and strong retention and writes a more clickable package that keeps the honest promise. Export both metrics from Analytics, then test the new title in Studio without recutting the edit.

You are a YouTube strategist who finds hidden gems: weak click, strong hold. <context> I pasted low CTR and strong retention for one video. I need a more clickable package that does not break the promise the retention already proved. Written plan only. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Pasted CTR and impressions: [PASTED CTR] - Pasted average percentage viewed or average view duration: [PASTED RETENTION] - Live title: [LIVE TITLE] - What the video actually delivers: [PAYOFF] </inputs> <task> Treat [VIDEO TITLE] as a hidden gem if [PASTED CTR] is weak and [PASTED RETENTION] is strong. Write 8 titles and 5 thumbnail-text lines that raise curiosity without lying about [PAYOFF]. Flag any line that would dump the 30-second retention you already earned. Pick one pair to test. </task> <constraints> - Do not recommend a recut if retention is the strong number. - No dashboard HTML. </constraints> <format> Gem verdict, ranked pair, then the next 3 actions in Studio (title test only). </format>

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Pro tip: If average percentage viewed is above your usual and CTR is not, fix packaging first. The edit already works.

High CTR Low Retention

15/30

✨ What it does

Claude treats [VIDEO TITLE] as a clickbait leak from pasted high CTR and weak retention and writes a tighter promise that matches the footage. Paste both metrics from Analytics, then update the title in Studio and watch 30-second retention the next day.

You are a YouTube strategist who treats high CTR plus weak retention as a broken promise. <context> People click and leave. I need a written honesty pass on the title and a smaller promise I can still post. No dashboard. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Live title: [LIVE TITLE] - Pasted CTR and impressions: [PASTED CTR] - Pasted average percentage viewed or 30-second retention: [PASTED RETENTION] - What the video actually delivers: [PAYOFF] - First minute beats: [FIRST MINUTE BEATS] </inputs> <task> Treat [VIDEO TITLE] as a clickbait leak if [PASTED CTR] is strong and [PASTED RETENTION] is weak. Rewrite 8 titles that shrink the promise to [PAYOFF]. Say whether the first minute needs a recut or the title alone can save the next impressions. Do not flatter the current title. </task> <constraints> - Use pasted numbers only. No API. No HTML. </constraints> <format> Leak verdict, honest title set, then the next 3 actions (Studio title swap and, if needed, a first-minute trim). </format>

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Pro tip: If the title promises a result the first minute never shows, Claude should kill that title, not spice it.

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Revenue

5 prompts

RPM and Playback Mix

16/30

✨ What it does

Claude reads pasted RPM, playback-based CPM, and estimated revenue for [CHANNEL] over [DATE RANGE] and names the one lever that moved money. Export the revenue overview from Analytics, paste the row, then change ad breaks or length in Studio if Claude says so.

You are a YouTube strategist who reads revenue tables the way a producer reads a call sheet. <context> I pasted RPM, playback-based CPM, and estimated revenue. I need a written read of what moved money this period. Not a finance dashboard. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted estimated revenue, RPM, playback-based CPM, monetized playbacks: [PASTED REVENUE OVERVIEW] - Top countries in the report: [TOP COUNTRIES] - Long-form versus Shorts split if I have it: [FORMAT SPLIT] </inputs> <task> Read [PASTED REVENUE OVERVIEW] for [CHANNEL] over [DATE RANGE]. Name the one lever that most likely moved revenue: geography, format, RPM, or volume. Say what I should film or avoid next week. If a field is missing, do not fill it with a typical RPM. </task> <constraints> - No invented CPMs or seasonal multipliers. - No HTML, no spreadsheet file. </constraints> <format> Money verdict in plain language, then the next 3 actions in Studio (length, ad breaks, or format choice). </format>

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Pro tip: Paste RPM and playback-based CPM together. One number without the other hides whether ads or audience mix moved.

Monetized Playback Share

17/30

✨ What it does

Claude reads pasted monetized playback share and ad types for [DATE RANGE] and says which inventory is wasting impressions. Copy the ad-type breakdown from YouTube Analytics, then adjust mid-rolls on the named videos in Studio.

You are a YouTube strategist who hunts wasted inventory, not vanity revenue. <context> I pasted monetized playback share and ad-type mix. I need a written note on which inventory is idle and what to change on specific videos. Memo only. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted monetized playbacks versus total playbacks: [PASTED MONETIZED SHARE] - Pasted ad-type breakdown if I have it: [PASTED AD TYPES] - Videos I can still edit: [EDITABLE VIDEO TITLES] </inputs> <task> Read monetized share for [DATE RANGE]. Say whether the leak is unmonetized traffic, weak ad density, or a format that barely serves ads. Point at videos in [EDITABLE VIDEO TITLES] if the paste includes them. Recommend adding, moving, or removing mid-rolls only where the numbers support it. </task> <constraints> - Do not invent ad-type percentages. - No dashboard HTML. </constraints> <format> Inventory verdict, then the next 3 actions in the Studio ad-break editor. </format>

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Pro tip: If monetized share is low, check Shorts and unmonetized embeds before you spam mid-rolls on a tutorial people already abandon.

Highest Earners Autopsy

18/30

✨ What it does

Claude autopsies the top earning videos you paste for [CHANNEL] and writes why they made money beyond raw views. Export the revenue-sorted video list from Analytics, paste the top five rows, then brief the next upload in Studio from the winner pattern.

You are a YouTube strategist who autopsies the videos that actually paid. <context> I pasted a revenue-sorted video list. I need a written autopsy of why the top rows earned, beyond raw views. No dashboard. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted top videos by estimated revenue (title, views, watch time, revenue, RPM if shown): [PASTED TOP EARNERS] - Format of each if I know: [FORMAT NOTES] - Niches I can still film: [FILMABLE NICHES] </inputs> <task> Autopsy the top earning videos for [CHANNEL]. Separate view-driven money from RPM-driven money. Write the pattern I should copy (length, topic, audience) and one pattern I should stop repeating. Propose the next video in [FILMABLE NICHES] that follows the paying pattern. </task> <constraints> - Do not invent RPM for a row that lacks it. - Written memo, not HTML. </constraints> <format> Pattern, anti-pattern, next video brief, then the next 3 actions in Studio. </format>

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Pro tip: Include RPM when YouTube shows it. A mid-view video with a high RPM is a different lesson than a viral dud.

Watch Time Versus Revenue Gap

19/30

✨ What it does

Claude explains the gap between pasted watch time and revenue for [VIDEO TITLE] and says whether length, ads, or audience mix is the leak. Paste watch time and estimated revenue from Analytics, then add or remove an ad break in Studio on that video only.

You are a YouTube strategist who explains when watch time and money disagree. <context> I have a video or a week where watch time looks fine and revenue does not, or the reverse. Written diagnosis only. </context> <inputs> - Channel: [CHANNEL] - Video title or week label: [VIDEO TITLE] - Date range: [DATE RANGE] - Pasted watch time: [PASTED WATCH TIME] - Pasted estimated revenue and RPM: [PASTED REVENUE] - Pasted top geography: [PASTED GEO] - Ad-break count on that video: [AD BREAK COUNT] </inputs> <task> Explain the gap between [PASTED WATCH TIME] and [PASTED REVENUE] for [VIDEO TITLE]. Say whether length, ad density, geography, or unmonetized traffic is the likely leak. Recommend one change I can make on that video this week. If the numbers agree, say there is no gap and do not invent one. </task> <constraints> - No guessed fill rates. No API. No HTML. </constraints> <format> Gap explanation, then the next 3 actions in Studio (ad breaks, length, or leave it). </format>

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Pro tip: Bring geography if you have it. A US-heavy hour and a globally heavy hour do not pay the same.

Shorts Versus Long-Form Money

20/30

✨ What it does

Claude compares pasted Shorts revenue and long-form revenue for [CHANNEL] over [DATE RANGE] and picks where next week's effort should go. Export both revenue rows from Analytics, then schedule the format Claude ranks first in Studio.

You are a YouTube strategist who allocates a week of effort between Shorts and long-form from revenue, not vibes. <context> I pasted revenue and watch time for Shorts and long-form. I need a written allocation for next week. Not a dashboard. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted Shorts revenue, views, watch time: [PASTED SHORTS REVENUE] - Pasted long-form revenue, views, watch time: [PASTED LONGFORM REVENUE] - Hours I can film next week: [HOURS AVAILABLE] - Formats I enjoy: [FORMATS I WILL ACTUALLY FILM] </inputs> <task> Compare Shorts and long-form money for [CHANNEL] over [DATE RANGE]. Allocate [HOURS AVAILABLE] across the two formats with a reason. If Shorts views are huge and revenue is not, say so plainly. End with three concrete next actions, not a slogan about doing both. </task> <constraints> - Do not invent RPM. Do not output HTML. </constraints> <format> Allocation table in plain text, then the next 3 actions I schedule in Studio. </format>

💡

Pro tip: Paste money and watch time for both formats. View counts alone will always crown Shorts.

Audience

5 prompts

Unique Versus Returning Viewers

21/30

✨ What it does

Claude reads pasted unique viewers and returning viewers for [CHANNEL] over [DATE RANGE] and says if you are growing or looping the same fans. Export those two rows from Analytics, then aim the next title at the thinner group in Studio.

You are a YouTube strategist who checks whether a channel is recruiting or looping. <context> I pasted unique viewers and returning viewers. I need a written growth read and three actions. No audience dashboard file. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted unique viewers: [PASTED UNIQUE VIEWERS] - Pasted returning viewers: [PASTED RETURNING VIEWERS] - Subscriber change in the same range: [SUBSCRIBER DELTA] - Videos published in range: [UPLOAD LIST] </inputs> <task> Read unique versus returning viewers for [CHANNEL] over [DATE RANGE]. Say if I am growing, looping the same fans, or both on different videos. Recommend one packaging or topic move for the thinner group. If I omitted one of the two viewer counts, stop and ask for it. </task> <constraints> - No invented unique-viewer totals. No API. No HTML. </constraints> <format> Growth read, then the next 3 actions in Studio (title toward new or returning). </format>

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Pro tip: Pull Unique viewers and Returning viewers for the same date range. Mixed windows make the ratio fiction.

Age and Gender Split

22/30

✨ What it does

Claude reads the pasted age and gender split for [CHANNEL] and writes one packaging change that matches who actually watches. Copy the demographics table from Analytics, then rewrite the next thumbnail text in Studio for the largest group.

You are a YouTube strategist who packages for the people already watching, not the avatar you wish you had. <context> I pasted age and gender rows. I need a written packaging change for the largest real group. Memo only. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted age and gender table (percent watch time): [PASTED DEMOGRAPHICS] - Who I thought I was talking to: [INTENDED AUDIENCE] - Next video topic: [NEXT TOPIC] - Live thumbnail style: [THUMBNAIL STYLE] </inputs> <task> Read [PASTED DEMOGRAPHICS] for [CHANNEL]. Name the largest group by watch time. Say how it differs from [INTENDED AUDIENCE]. Write one title angle and one thumbnail-text change for [NEXT TOPIC] that serves the real group without insulting everyone else. </task> <constraints> - Do not invent a demographic I did not paste. - No HTML dashboard. </constraints> <format> Who watches, the mismatch, then the next 3 actions in Studio for the next upload. </format>

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Pro tip: Paste watch-time percent, not subscriber surveys. Watch time is who stayed, not who you hoped subscribed.

Geography Watch Patterns

23/30

✨ What it does

Claude reads pasted geography and watch-time rows for [DATE RANGE] and names one language, time-zone, or topic shift. Export the geography table from Analytics, then set the premiere time in Studio to the country that already watches.

You are a YouTube strategist who uses geography for premiere time and topic language, not stereotypes. <context> I pasted geography and watch time. I need a written note on when to publish and whether a topic is local. No map HTML. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted top countries or regions with views and watch time: [PASTED GEOGRAPHY] - My current publish time and time zone: [PUBLISH TIME] - Language I film in: [LANGUAGE] - Topics on the slate: [SLATE TOPICS] </inputs> <task> Read [PASTED GEOGRAPHY] for [DATE RANGE]. Name the country that already watches, a premiere-time shift if [PUBLISH TIME] misses them, and one [SLATE TOPICS] item that fits or fights that map. Do not tell me to film in a language I cannot speak. </task> <constraints> - No invented city-level data. No dashboard maps. </constraints> <format> Geo read, premiere recommendation, then the next 3 actions in Studio schedule settings. </format>

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Pro tip: Sort geography by watch time, not views. A high-view country with a bounce is a weak premiere target.

Subscriber Versus Non-Subscriber

24/30

✨ What it does

Claude compares pasted subscriber and non-subscriber watch time for [VIDEO TITLE] and says who the video actually served. Copy both rows from Analytics, then decide in Studio whether the next end screen should push subscribe or another video.

You are a YouTube strategist who checks who a video actually served. <context> I pasted subscriber and non-subscriber watch time for one video. I need a written call on the next end screen and the next title. No dashboard. </context> <inputs> - Channel: [CHANNEL] - Video title: [VIDEO TITLE] - Pasted watch time or views from subscribers: [PASTED SUB STATS] - Pasted watch time or views from non-subscribers: [PASTED NONSUB STATS] - Current end screen: [END SCREEN TARGET] - Subscribe ask in the video: [SUBSCRIBE ASK] </inputs> <task> Compare subscriber and non-subscriber performance for [VIDEO TITLE]. Say who the video served. If non-subscribers dominate, recommend an end screen that routes to another video they would click. If subscribers dominate, say whether the title is too inside-baseball for Browse. </task> <constraints> - Use pasted rows only. No API. No HTML. </constraints> <format> Who it served, end-screen call, then the next 3 actions in Studio. </format>

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Pro tip: A subscriber-heavy video can still be a win. Do not force a viral title if the job was to feed the base.

New Audience Versus Core Fans

25/30

✨ What it does

Claude splits pasted new-viewer and returning-viewer data for [CHANNEL] and writes one video idea for each group. Export the audience snapshot from Analytics, then create two Studio drafts from those ideas this week.

You are a YouTube strategist who briefs two videos when the audience is split. <context> I pasted new-viewer and returning-viewer data. I need one idea for new people and one for core fans, plus a weekly order. Written briefs only. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted new versus returning snapshot: [PASTED AUDIENCE SNAPSHOT] - Topics that recruit: [RECRUIT TOPICS] - Topics that deepen: [DEEPEN TOPICS] - Uploads I can finish this week: [UPLOAD CAPACITY] </inputs> <task> Split the pasted snapshot for [CHANNEL]. Write one recruit brief and one deepen brief using my topic lists. Rank which to publish first given [UPLOAD CAPACITY] and the snapshot. If the snapshot is almost all returning, put recruit first even if deepen is more fun. </task> <constraints> - No invented audience percents. No HTML. </constraints> <format> Two briefs (title, promise, who it is for), then the next 3 actions to create drafts in Studio. </format>

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Pro tip: Give real topic lists you can film. Claude should not invent a recruit idea you have no footage for.

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Weekly Review

5 prompts

Last 7 Days Scorecard

26/30

✨ What it does

Claude turns pasted last-7-days totals for [CHANNEL] into a one-page scorecard with the next 3 actions. Export the last 7 days overview from Analytics, paste every headline metric, then execute action one in Studio today.

You are a YouTube strategist who runs a Monday memo from pasted last-7-days totals. <context> I will paste the channel overview for the last 7 days. I need a written scorecard and the next 3 actions. Do not build a dashboard, HTML file, or tracker sheet layout. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted overview (views, watch time, subs, impressions, CTR, revenue if shown): [PASTED LAST 7 DAYS] - Videos published this week: [UPLOAD LIST] - Last week's one-sentence goal: [LAST WEEK GOAL] </inputs> <task> Turn [PASTED LAST 7 DAYS] into a scorecard for [CHANNEL]. Grade what moved, what stalled, and whether [LAST WEEK GOAL] happened. If a metric is missing, grade as incomplete instead of guessing. End with the next 3 actions for the coming week, each doable in YouTube Studio or in the edit. </task> <constraints> - Numbers only from the paste. No API. No HTML dashboard. </constraints> <format> Scorecard in short labeled lines, then the next 3 actions with an owner (me) and a day. </format>

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Pro tip: Paste the same overview every Monday. A changing mix of metrics makes week-to-week grades worthless.

This Week Versus Last Week

27/30

✨ What it does

Claude compares pasted this-week and last-week rows for [CHANNEL] and names what actually moved, not vanity swings. Export both date ranges from Analytics into one paste, then keep or kill this week's packaging test in Studio.

You are a YouTube strategist who compares two pasted weeks without vanity storytelling. <context> I pasted this week and last week. I need what actually moved and what to keep or kill. Written compare, not a chart file. </context> <inputs> - Channel: [CHANNEL] - This week range: [DATE RANGE] - Last week range: [PRIOR DATE RANGE] - Pasted this-week overview: [PASTED THIS WEEK] - Pasted last-week overview: [PASTED LAST WEEK] - Packaging or cadence I changed: [WHAT I CHANGED] </inputs> <task> Compare the two pastes for [CHANNEL]. Name the metrics that moved in a way that matches [WHAT I CHANGED]. Name the swings that are noise. Say keep, kill, or wait on the test. If the two ranges overlap or have different metric sets, say the compare is dirty. </task> <constraints> - Do not invent last-week numbers. No API. No HTML. </constraints> <format> Keep / kill / wait, then the next 3 actions in Studio this week. </format>

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Pro tip: Use Advanced mode and the same metric list both weeks. Dropping revenue from one paste will fake a crash.

Upload Cadence Check

28/30

✨ What it does

Claude reads pasted publish dates and view totals for [CHANNEL] over [DATE RANGE] and says if cadence is helping or burning the audience. Paste the video list with dates from Analytics, then lock next week's upload times in Studio.

You are a YouTube strategist who judges cadence from publish dates and results, not from hustle slogans. <context> I pasted a video list with dates and views. I need a written cadence call for the next two weeks. No calendar HTML. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted video list (title, publish date, views, watch time): [PASTED VIDEO LIST] - Hours I can honestly film per week: [HOURS AVAILABLE] - Current promised schedule: [PROMISED CADENCE] </inputs> <task> Read cadence for [CHANNEL] over [DATE RANGE] from [PASTED VIDEO LIST]. Say if the current pace helps, bunches uploads, or burns quality. Propose a two-week calendar that fits [HOURS AVAILABLE] and beats [PROMISED CADENCE] only if the data says faster is working. Do not praise daily uploads without evidence in the paste. </task> <constraints> - No invented view totals. No dashboard. </constraints> <format> Cadence verdict, two-week list of publish slots, then the next 3 actions to lock in Studio. </format>

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Pro tip: Include videos that flopped. A cadence check that only pastes winners will tell you to post more.

Next Three Videos From Data

29/30

✨ What it does

Claude writes the next three video briefs for [CHANNEL] from the pasted weekly Analytics dump and ranks them by evidence. Paste the overview plus top videos from Analytics, then create three drafts in Studio with the titles Claude locks.

You are a YouTube strategist who briefs the next three uploads from a pasted weekly dump. <context> I will paste overview plus top videos. I need three evidence-backed briefs and an order. Written briefs, not a content calendar webpage. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted weekly overview: [PASTED OVERVIEW] - Pasted top videos (title, views, watch time, CTR if shown, traffic source if shown): [PASTED TOP VIDEOS] - Topics I can film: [FILMABLE TOPICS] - Topics I refuse: [OFF LIMITS] </inputs> <task> Write the next three video briefs for [CHANNEL] using only the paste and [FILMABLE TOPICS]. Each brief: working title, promise, which metric it tries to fix, and why the last week supports it. Rank the three. Drop anything in [OFF LIMITS]. If the paste is too thin for three ideas, write fewer and say why. </task> <constraints> - No invented Analytics. No HTML dashboard. No API. </constraints> <format> Three briefs, ranked, then the next 3 actions to create drafts and titles in Studio. </format>

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Pro tip: Paste top videos by watch time and by traffic source when you can. Views-only lists keep you remaking the same bait.

Channel Health Memo

30/30

✨ What it does

Claude writes a channel health memo for [CHANNEL] covering [DATE RANGE] from every pasted table you include and ends with the next 3 actions. Gather overview, traffic, revenue, and top videos from Analytics, paste them once, then run action one in Studio before the next upload.

You are a YouTube strategist who writes one weekly health memo from every table I paste. <context> This is the Friday or Monday wrap. I will paste overview, traffic, revenue, and top videos if I have them. I need a written health memo and the next 3 actions. Do not generate a dashboard, HTML, CSS, or a downloadable report file. </context> <inputs> - Channel: [CHANNEL] - Date range: [DATE RANGE] - Pasted overview: [PASTED OVERVIEW] - Pasted traffic mix: [PASTED TRAFFIC MIX] - Pasted revenue overview: [PASTED REVENUE] - Pasted top videos: [PASTED TOP VIDEOS] - What I promised myself last week: [LAST WEEK ACTIONS] </inputs> <task> Write a channel health memo for [CHANNEL] covering [DATE RANGE]. Use every pasted table. For any table I left blank, say Not pasted instead of filling it. Score retention (from top-video clues only), traffic, packaging, revenue, and audience only where numbers exist. Close with the next 3 actions, each smaller than a full strategy reset. </task> <constraints> - Work from pasted Analytics numbers only. No YouTube API. No invented benchmarks. - Output is a memo plus three actions, never HTML or a dashboard. </constraints> <format> Labeled memo sections, honest gaps, then the next 3 actions I run in YouTube Studio before the next upload. </format>

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Pro tip: Paste four tables when you can. A memo from overview-only will overfit views and miss the traffic leak.

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Frequently Asked Questions

No. Claude only reads the numbers you paste. Export tables from YouTube Studio Analytics, drop them into the [PLACEHOLDER] blocks, and ask for a written memo plus the next 3 actions. There is no live API hook and no dashboard file to download.
Start with the last 7 days overview: views, watch time, subscribers, impressions, and CTR. Add traffic sources, the top five videos, and revenue if you are in the Partner Program. Retention prompts need timestamp-plus-percent rows from one video, not a screenshot Claude cannot read.
A dashboard repeats the graphs you already have in Studio. These prompts ask for a diagnosis and three actions you can run this week: a title swap, a recut, a premiere time, an ad-break move. You still make those changes in YouTube Studio or your sheet.
Run the Last 7 Days Scorecard and This Week Versus Last Week pair once a week on the same weekday. Use Retention, CTR, and Revenue prompts when a single video looks off. Changing the date range every time you feel anxious will create fake trends.
Pick action one the same day: retitle in Studio, move an end screen, or lock a premiere. Leave packaging tests for 48 hours before you judge CTR. Put actions two and three on a sheet with the date range you pasted so next week's compare has a record of what you changed.

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