Old videos that quietly
keep making you money.
I track every YouTube video I have ever shipped in one tracker. Thumbnail, title, chapters, watch-time, the product link in the description. A small bot reads the tracker every week, picks a high performing dormant video, and re-promotes it. New subscribers find it for the first time. The link in the description earns again. Old videos keep paying me, on a weekly schedule.
Most creators ship a video, then walk away from it forever.
After three days the algorithm cools, the video stops being shown, and ninety percent of your future subscribers never know it exists. Meanwhile the product link in the description, the offer you wrote that video for, stops getting clicks. The video is not dead. Nobody is sending traffic to it. A tiny tracking automation plus a weekly best-of bot fixes the whole thing. Here is who it is for, what goes wrong without it, how it works, and what you get back.
Who it’s for
Anyone with a back catalog of YouTube videos that already exists and is doing nothing. Course creators, coaches, podcasters, agencies, solo educators. Especially useful if your videos link to a product, a course, or a service in the description. If you have ten or more old videos and a paid offer, this is for you.
What goes wrong
Without a tracker, you have no idea which old video is your strongest. You cannot find the moment you explained X six months ago. New subscribers see only the last three uploads. The embedded product links sit there with nobody clicking. Months of work earns one good week, then quietly stops earning at all.
How the machine works
Every video you publish auto-logs into a tracker with thumbnail, title, duration, chapter summary, product link, and live view numbers. A weekly bot scores the dormant videos by watch-time, picks a winner, and re-promotes it as a community post, a short clip teaser, and an email blast. You write nothing. The catalog re-promotes itself.
What you get back
Every old video keeps earning. New subscribers discover it through the weekly re-promotion. The product link in the description gets a fresh round of clicks. Conservatively, about ten to fifteen dollars per re-promoted video per week, fifty weeks a year, on autopilot. The catalog becomes a quiet weekly paycheck instead of dead inventory.
I had hundreds of videos doing nothing for me.
When I looked at my channel a couple of years in, I had a back catalog of videos most subscribers had never seen. The algorithm showed each upload for a few days, then forgot about it. The videos still existed, the product links in the descriptions still worked, but nobody was sending people to them anymore. I was the only sender, and I was busy making the next video.
Worse, when someone asked me a question I had answered on the channel, I could not find the video. Was it the one from March? Was it the funnel one or the email one? I had to scroll through my own uploads and skim thumbnails to remember. My own work was hard to retrieve. That was the moment I started building a tracker.
I built a small tracker that logs every video automatically the moment it goes live. Thumbnail, title, duration, video URL, an AI generated summary of the chapters, the product link in the description, and the latest view and watch-time numbers. One row per video, one place where every piece of information about that video lives. If a new video goes live, a new row appears. If an old video gets a fresh wave of views, the row updates.
Then a second piece took over. Once a week, a best-of bot reads the tracker, scores the dormant videos by watch-time and click-through to the product link, picks the strongest one, and re-promotes it as a community post, a short clip, and an email blast. The new subscribers, who joined after the original was published, see it for the first time. A small share of them click through to the video, watch it, and click the offer in the description. The video earns again.
The numbers are intentionally modest and checkable. Each re-promoted video earns roughly ten to fifteen dollars in product clicks the week it goes back out. Once a week, fifty weeks a year, that is around five hundred to seven hundred and fifty dollars a year from re-promotions alone. After two years of building the catalog, the bot quietly earns me roughly fifteen hundred to two thousand a year from old videos, on top of whatever new videos earn, without me doing anything. Over five years that compounds into eight thousand or more from videos I would otherwise have forgotten about.
Proof point: I have shown the channel side of the engine on YouTube, including how I grow accounts and re-promote old work, in my growth hacking series and the broader business numbers in my road to ten million series, so the conservative numbers on this page are checkable.
Three moves that turn a dead back catalog into a weekly paycheck
What made this work was treating the back catalog as inventory, not history. Every old YouTube video is a piece of stock that already cost time and money to produce. Most creators write that cost off after the first week. The framework here keeps every video on the shelf, in rotation, and earning.
Track everything in one row per video
The whole engine starts with one boring rule. Every video you have ever published gets one row in the tracker, and every new video adds a row automatically the moment it goes live. The row holds the publish date, the title, the thumbnail URL, the duration, the video URL, an AI generated chapter summary, the product link in the description, and the latest view and watch-time snapshot. Without this single row per video, the best-of bot has nothing to score and you have nothing to search. Skip it and the rest of the framework cannot run.
Make the catalog searchable in plain English
The chapter summary column is what actually earns its keep. Once it is populated, you can ask the tracker plain questions like which video did I explain the funnel in, or where did I talk about email subscribers, and get the right video plus the exact timestamp back in under a second. Future you stops scrolling through old uploads. The catalog becomes a private knowledge base of everything you have ever said on camera, retrievable on demand. This is what makes the catalog feel alive instead of buried.
Let a weekly bot re-promote one dormant winner
Once the tracker is live and searchable, a small bot does the resurrection work. Every week it scores the dormant videos by watch-time and click-through to the embedded product link, picks the top performer that has not been re-promoted recently, and posts it in three places at once. A community post on the channel, a short clip teaser on social, and an email blast to the list. New subscribers who never saw the original discover it for the first time. A small share click through, watch, and click the product link in the description. The video earns again. The catalog earns every week.
Once those three moves are in place, the back catalog stops being dead inventory and starts behaving like a small weekly machine. Tracking is the seed. Plain English search is the daily convenience. Weekly re-promotion is the rebirth of sales.
Before the tracker
- Old videos forgotten three days after upload, never resurfaced
- Could not find the moment I explained a topic six months ago
- New subscribers only ever saw the latest three videos
- Product links in old descriptions earned nothing after week one
- Hundreds of hours of past work sitting quietly in the channel
After the tracker
- Every video auto-logs with thumbnail, chapters, views, product link
- Plain-English search returns the right video and timestamp instantly
- Best-of bot picks one strong dormant video to re-promote every week
- Community post + short clip + email blast every Tuesday, automatic
- Each re-promoted video earns roughly ten to fifteen dollars in clicks
Prompt 1: design the tracker columns for your channel
Before you build anything, you need to lock the columns. The biggest mistake is to track twenty fields you will never use. Eight is the sweet spot. Use this prompt to confirm the eight columns for your specific channel and offer.
Tracker column designer
Act as a content operations strategist. I am about to build a YouTube videos tracker that logs every video on my channel into one row, so a weekly best-of bot can pick dormant winners to re-promote. My channel is about: [describe the niche in one sentence]. The product or service my videos link to in the description: [describe the offer in one sentence]. Confirm or adjust these eight tracker columns for my case: publish date, title, thumbnail URL, duration, video URL, chapter summary, product link in description, views and watch-time. For each column tell me in one line why it matters for the weekly best-of bot, and flag any column I should add or remove for my specific niche and offer.
The output of this prompt is the column structure for your tracker. Get this right once and everything else snaps into place.
Prompt 2: summarise the chapters so future-you can search
The chapter summary column is the difference between a tracker and a searchable catalog. Every video gets a short AI generated summary so you can ask the tracker plain questions later. Use this prompt to generate the summary for any video, new or old.
Chapter summary generator
Act as a YouTube content librarian. I am summarising one of my videos for a tracker so future-me can search the catalog in plain English. Video title: [paste the title] Video transcript or chapter list: [paste it here]. Write a one paragraph summary, four to six sentences, that captures the topic, the framework or method discussed, the main examples, and the specific product or offer mentioned at the end. Then output a list of five to eight searchable keywords a future me would type to find this video. Keep it plain English, no marketing language.
Run this prompt once per video. The output goes straight into the chapter summary column. After a few rounds your tracker becomes a private knowledge base of everything you have said on camera.
The 3-minute overview of how this works
Before the build steps, watch this short overview. It’s the exact video from the Automations Made Easy page, and it walks through the mechanics behind machines like this one. 1,000+ students have used these mechanics to save two hours a day, with zero coding.
Want to learn the mechanics behind quiet, catalog-monetising automations?
I teach the same mechanics that power this YouTube tracker inside Automations Made Easy. 1,000+ students have used these mechanics to save two hours a day and make their existing content keep earning. No coding required.
Week one: about ten to fifteen dollars from one resurrected video.
Most people abandon a system like this after the first week because the first week looks small. That is the point. A YouTube tracker is meant to feel quiet on day one and real on day three hundred and sixty five. The first week the bot picks one dormant video, posts a community update, sends an email, and waits.
Week one looks like this. The bot picks one video from the tracker that has high watch-time but has not been pushed in over six months. The community post goes out Tuesday morning. The short clip teaser goes out the same afternoon. The email blast goes out that evening. Roughly two to three percent of the list opens the email and clicks. A smaller share of the community post readers click the video. The video earns roughly ten to fifteen dollars in product clicks across the week. Modest, believable, repeatable.
The point of the first week is not the ten dollars. The point is to confirm the tracker is logging videos correctly, the chapter summary is searchable, and the best-of bot is picking a video with a real product link in the description. Once that is locked, week two and every week after it is the same machine.
From there the maths is simple. Twelve dollars a week, fifty weeks a year, is around six hundred dollars a year from re-promotions alone. After two years of building the catalog with stronger videos, that climbs to roughly fifteen hundred to two thousand a year. Over five years it compounds to eight thousand or more, from videos that already existed and were already paid for.
All of this runs while you film the next video, take a holiday, or sleep. The bot picks, posts, sends, and tracks. The catalog keeps earning every Tuesday, with no input from you.
Prompt 3: write the weekly community post that resurrects a video
When the best-of bot picks a dormant video, you need a short community post that reframes it for new subscribers. The post is what gets them curious enough to click. Use this prompt to generate the post from the tracker row.
Community post writer
Act as a YouTube community manager. I am re-promoting one of my older videos to new subscribers who never saw it the first time. The video row from my tracker: Title: [paste] Chapter summary: [paste] Product or offer in the description: [paste] Write a YouTube community post under 280 characters that does three things: name the one specific thing the video teaches, hint at why it still applies today, and end with a soft nudge to watch. Avoid hype words, avoid all caps, write in first person. Give me three versions so I can pick the one that feels most like me.
The community post is the trigger. It pushes the dormant video to people who never saw it, and a small share of them click, watch, and end up at the product link in the description.
Prompt 4: write the weekly email that points subscribers back to one video
The same dormant video gets a parallel email blast to your list. The email is shorter, more personal, and points to one video and one product link. Use this prompt to generate the email from the same tracker row.
Re-promotion email writer
Act as a direct-response email copywriter. I am sending a short email to my list that points to one of my older YouTube videos that is still useful today. The video row from my tracker: Title: [paste] Chapter summary: [paste] Product or offer in the description: [paste] Write a 150 to 200 word email with a personal opening line, one short story or observation that connects to the video topic, a clear link to the video, and a soft mention of the product or offer that the video links to. First person, plain English, no hype. Give me two subject lines under 50 characters that match the tone.
Send the email the same day the community post goes out. Two surfaces for the same video, one quiet weekly machine. The product link in the description starts earning again the day the email lands.
The exact build, step by step
Pick a tracker file your AI tools can read
Open a Google Sheet, an Airtable base, or a Notion database. The choice matters less than picking one and sticking to it. The rule is simple. One row per video, lifetime, and the file must be readable by your AI tools and your automation platform. I use Airtable for the relational fields and the views I can slice by category, but a Google Sheet is honestly fine if you are starting today. Pick the file, name it your YouTube tracker, and resist the urge to add anything fancy.
Lock the eight columns the bot will read later
Add exactly eight columns to the tracker. Publish date, title, thumbnail URL, duration, video URL, chapter summary, product link in the description, and a live snapshot of views and watch-time. Resist the urge to add fifteen more. The best-of bot only reads these eight. Anything else is decoration that you will not maintain. Every column has a job, and every job feeds either the search layer or the weekly re-promotion.
Wire the auto-fetch from the YouTube Data API
Now connect your channel to the tracker. A small workflow watches your channel through the YouTube Data API and writes a new row the moment a video goes live. Title, thumbnail URL, duration, video URL all populate themselves. A scheduled refresh updates the views and watch-time column once a day. From this point on you never log a video by hand again. The tracker fills itself, lifetime, on every upload.
Add the AI search layer for the chapters
Run the chapter summary prompt across every existing video, then make a small AI lookup that reads the chapter summary column. Now future you can ask the tracker plain questions like which video did I explain the funnel in, and the lookup returns the right video and the exact timestamp in under a second. This is the part that turns the tracker from a list into a private knowledge base. It also speeds up everything else, including the weekly re-promotion picks.
Build the weekly best-of bot
Every Tuesday morning, the bot scores the dormant videos by watch-time and by click-through to the embedded product link, picks the top performer that has not been re-promoted in the last six months, and triggers three outputs at once. A YouTube community post that re-introduces the video, a short clip teaser for social, and an email blast to the list with a single link. One pick. Three surfaces. Same video. Same Tuesday. Every week.
Track the product-link clicks back into the tracker
Final piece. Add a tagged version of the product link so every click coming from a re-promotion shows up in a clicks column on the tracker. Now you can see exactly which week brought which clicks, and which dormant videos are quietly producing the best return. Over time the bot gets sharper because it scores not just on watch-time but on the click history it now owns. Every old video has a number against it. Every Tuesday it gets resurrected. Every old video keeps earning.
Tracker built
One row per video, eight locked columns, every metric for every upload lives in one file.
Auto-logged + searchable
New uploads write themselves to the tracker, chapter summaries make the whole catalog searchable in plain English.
Weekly bot running
Best-of bot picks one dormant winner every Tuesday and re-promotes it across three surfaces at once.
Old videos earning
New subscribers discover the re-promoted video, click the embedded product link, and the catalog earns every week.
Build this YouTube catalog engine inside the same playbook 1,000+ students use
Automations Made Easy teaches the mechanics behind catalog-monetising bots like this one. Step by step, no code, plain English. Save two hours a day and stop letting your old work sit there earning nothing.
The six months after I switched it on
Here is the shape of the first six months after I turned the weekly best-of bot on. The line is intentionally modest in the early months and climbs as the tracker fills with more dormant videos to pick from, because that is how a quiet re-promotion engine actually behaves.
Monthly product-link earnings from re-promoted videos
Three things matter on this chart. The line stabilises around fifty to sixty dollars a month and stays there. The earnings come from videos that were already paid for. And every single one of those months happens without you filming a new video, writing a new community post, or sending a manual email.
What other students built
I teach the simple skills behind machines like this in Automations Made Easy. Students who built their own version sent back what changed in their first month.
“I had 140 videos sitting there doing nothing. After two months with the tracker and the weekly bot, my old videos started getting watched again and the link in the descriptions actually saw clicks.”
“What surprised me is the search. I asked the tracker which video had my pricing breakdown and it returned the video and the timestamp. That alone saves me an hour a week.”
“The Tuesday re-promotion brings me three to four product clicks every week from videos I had completely forgotten about. Small numbers, but the videos already existed. Pure profit.”
“Knowing the first weeks would look small saved me. By month three the bot was running on its own and my email open rates on the re-promo emails were higher than my normal newsletter.”
What’s inside Automations Made Easy
AME isn’t a library of pre-built automations. Every business is slightly different. What’s reusable across all of them is the underlying mechanics: how to set up little machines that listen, write, and follow up while you sleep, and how to wire the pieces together without writing code.
The program walks you through six modules: The Right Tools (the cost-effective, no-code stack I actually use), Task Selection Mastery (which automations are worth building first), Design Secrets (mapping an automation before you build it), Zero to Hero (complete beginner to confident automator), Real-World Application (we build a full automation together, end to end), and Monetization Mastery (turn the skill into a side-business).
It also includes done-for-you templates you import in two clicks, over-the-shoulder training videos, and the same playbook 1,000+ students have used to save two hours a day. No coding required. If you can copy and paste, you can build this.
The YouTube tracker: common questions
Pulled from what readers and Automations Made Easy students ask most.
Do I need to be a developer to set this up?
No. A tracker is a Google Sheet or an Airtable base, and the auto-fetch is a no-code workflow that reads the YouTube Data API and writes a row when a new video goes live. You point and click, paste your channel ID, and let it run. The skills you need are deciding the eight columns and writing the prompts that summarise each video, which is exactly what Automations Made Easy teaches.
Will the YouTube Data API be enough to keep the tracker fresh?
Yes. The YouTube Data API gives you title, thumbnail URL, duration, video URL, and live view and watch-time numbers. A daily scheduled refresh pulls the latest snapshot into the tracker so every row stays current without you doing anything. The only piece the API does not give you is the chapter summary, which is why that column is generated by an AI prompt run against the transcript.
How many videos do I need before this is worth setting up?
Conservatively, ten old videos with a product link in the description is enough to start. The math works on small numbers. Twelve dollars a week from one re-promoted video, fifty weeks a year, is around six hundred dollars a year. If you have fifty old videos the bot has more variety to pick from and the weekly pick gets stronger. The system rewards every additional video you add over time.
Will subscribers be annoyed if I keep re-promoting old videos?
Not if the cadence is once a week and the pick is genuinely useful. The community post is short and the email is personal, and most of your subscribers joined after the original was published, so they have never seen it. The ones who have seen it will skim past, the same way they skim past a newsletter section that does not apply to them. Once a week is the safe rhythm.
Can I run this if my videos do not have chapters or transcripts yet?
Yes. For new videos, ask YouTube to auto-generate chapters or write them yourself. For old videos, the chapter summary prompt works fine from the auto-generated transcript alone. The summary column is a plain English paragraph the bot and the search layer can both read, and the transcript is usually enough material to write one. You do not need to re-edit a single old video.
More Money Makers like this one
Built from the same handful of mechanics. Each one captures, converts, or earns money that would have walked out the door.
Run this YouTube catalog engine yourself, or learn the mechanics inside Automations Made Easy.
If you want to learn the mechanics behind catalog-monetising automations like this and build your own at home, Automations Made Easy is the playbook. Step by step, no code, plain English. If you want to talk through which tracker fields and which re-promotion cadence would work for your specific channel first, I take a small number of consulting clients each month.
€497 one-time · Lifetime access · 1,000+ students
