---
title: 'I Tried Faceless YouTube Automation for 30 Days: Realistic Results'
source: 'https://youtube.com/watch?v=2n2P-rpql34'
video_id: '2n2P-rpql34'
date: 2026-08-04
duration_sec: 625
---

# I Tried Faceless YouTube Automation for 30 Days: Realistic Results

> Source: [I Tried Faceless YouTube Automation for 30 Days: Realistic Results](https://youtube.com/watch?v=2n2P-rpql34)

## Summary

The video documents a 30-day experiment by Stickman Matt to build a faceless YouTube channel using automation tools. It covers the setup, content creation process, metrics, and revenue, concluding with lessons learned and recommendations for aspiring creators.

### Key Points

- **Experiment Introduction** [00:01] — Matt commits to running a fully automated faceless YouTube channel for 30 days, documenting revenue, views, and time invested to provide an honest breakdown.
- **Ground Rules** [00:41] — Started a new channel from zero subscribers, used automation tools for scripting, voiceover, and editing, posted consistently, and tracked every metric. Goal was to build a profitable channel in one month, not to go viral.
- **Niche Selection** [01:13] — Chose AI tool tutorials and reviews due to growth potential, audience demand, and affiliate opportunities. Advises picking a niche you understand or find interesting.
- **Branding Setup** [01:39] — Named the channel 'Tech Automation Insider' and used Canva to create a logo and banner in 20 minutes. Emphasizes that branding doesn't need to be perfect initially, just clean and consistent.
- **Tool Stack** [02:04] — Used Vid AI for scripting (reducing script time from 2 hours to 30 minutes), 11 Labs for AI voiceover, Pixels for stock footage, Canva for animations, and hired an editor on Fiverr for $20 per video.
- **First Video** [02:46] — Uploaded first video titled '5 AI tools that will replace your job in 2025' with a bold thumbnail. Received only 12 views in the first 24 hours, but didn't panic as YouTube needs time to understand content.
- **Early Progress** [03:15] — By day 7, had uploaded 4 videos, total views around 200. CTR was ~5%, average view duration ~45%, which are positive signals for a new channel.
- **Title Strategy Adjustment** [03:42] — Specific, problem-solving titles outperformed generic ones. Changing to hyper-specific, curiosity-driven titles boosted CTR to ~7% by day 10.
- **Two-Week Milestone** [04:12] — By day 14, had 7 videos, 32 subscribers, and ~800 views. Traffic sources shifted from search to suggested videos, indicating YouTube's recommendation system was picking up content.
- **Monetization via Affiliates** [04:38] — Instead of waiting for AdSense (requires 1,000 subs and 4,000 watch hours), added affiliate links from day one. Made first affiliate commission of $18 by day 14.
- **Three-Week Breakthrough** [05:19] — By day 21, had 10 videos, 61 subscribers, ~2,000 views. One video on free AI tools jumped from 50 to 300 views overnight due to YouTube's algorithm testing and scaling.
- **Content Formula** [05:44] — Developed a repeatable structure: hook with bold claim, overview, 3-5 main points with examples, and a strong call to action. This kept retention high and enabled batch creation.
- **Final Results** [06:09] — Day 30: 14 videos, 103 subscribers, ~4,000 views, $94 in affiliate revenue. Time investment was 30-40 hours total, equating to ~$3/hour, but content is a long-term asset.
- **What Worked and What Didn't** [07:20] — Worked: problem-solving titles, high-contrast scripting, consistent posting, early affiliate focus, clear CTAs. Didn't work: generic titles, overly long videos, waiting for AdSense, ignoring comments.
- **Real Talk** [07:45] — Faceless YouTube automation is not a get-rich-quick scheme. It's a legitimate business model requiring time, consistency, and optimization. Matt's main channels generate five figures monthly but took years to build.
- **Recommendations for Starting Over** [08:12] — Focus more on high-ticket affiliate programs, batch create content (script 5 videos at once, record all voiceovers, hand to editor together), and engage with the audience from day one.
- **Biggest Lesson** [08:51] — Automation doesn't mean zero effort; it means smart effort. Tools like Vid AI, 11 Labs, and Canva speed up the process, but you still need to guide strategy, pick topics, write hooks, and analyze data.
- **Recap and Call to Action** [09:18] — Recap: 14 videos, 103 subs, 4,000 views, $94 revenue, 30-40 hours. Encourages viewers to start building and stay consistent, and to check out his free course on running faceless channels.

### Conclusion

The 30-day experiment proves that faceless YouTube automation can generate revenue and build an audience, but it requires consistent effort and strategic optimization. The key is to treat it as a long-term business, not a quick win.

## Transcript

to run a completely automated, faceless YouTube channel for 30 days and document everything, the revenue, the views, the time invested, all of it. And I said, Matt, people are going to call this fake. And he said, "Then show them the
receipts." So that's exactly what I'm doing. This is the most honest breakdown of faceless YouTube automation you'll ever watch. No hype, no BS, just real numbers and real talk. Let's get into it. Hey, it's Stickman Matt and today
I'm showing you what actually happens when you try faceless YouTube automation for 30 days. Now, before we dive into the results, I need to set some ground rules for this experiment. I started a brand new channel from zero subscribers.
I used automation tools for scripting, voice over, and editing. I posted consistently, and I tracked every single metric. My goal wasn't to go viral. It build a profitable faceless channel using automation in just one month. And
spoiler alert, the results surprised even me. So stick around because I'm breaking down the exact process, the tools I used, and the actual revenue at the end. All right, let's start with the setup. Day one, I had to pick a niche.
This is critical because your niche determines everything. The competition, the monetization potential, the type of content you'll make. I went with AI tool tutorials and reviews because it's a growing niche. The audience is hungry
for content and there are tons of affiliate opportunities. Plus, I already know this space, so I could create valuable content without spending hours you're starting from scratch, pick a niche you understand or at least find
interesting because you're going to be making a lot of content in it. Next, I needed a channel name and branding. I kept it simple. The channel name was Tech Automation Insider, and I used Canva to whip up a basic logo and banner
in about 20 minutes. Nothing fancy, but it looked professional enough. Here's the thing. Beginners overthink branding. Your branding doesn't need to be perfect on day one. It just needs to be clean and consistent. You can always upgrade
later once you start making money. Then came the tools. For scripting, I use Vid AI to speed up the research and outline process. It's insane how much time this saves. Instead of spending two hours per script, I was done in 30 minutes. For
voice over, I used 11 Labs because the AI voices are shockingly good. Now, I tested a few and picked one that sounded natural and engaging. For visuals, I used stock footage from Pixels and some simple animations in Canva. And for
editing, I hired a cheap editor on Fiverr for 20 bucks per video. Could I have edited myself? Sure. But I wanted to test full automation, and outsourcing editing was the move. Day three, I uploaded my first video. The title was
5A eye tools that will replace your job in 2025. Clickbay, maybe, but it was accurate and it generated curiosity. The thumbnail was bold text on a dark background with a robot image. Simple but effective. I hit publish and waited.
And here's where beginners mess up. They expect instant results. I got 12 views in the first 24 hours. 12. But I didn't panic because I knew YouTube needs time to understand your content and find your audience. By day seven, I had uploaded
three more videos. Topics like how to automate your entire workflow with AI and the best free AI tools nobody talks about. I was posting every other day, which is a solid pace for automation. My total views were sitting at around 200.
Not amazing, but not terrible for a brand new channel. The key metric I was watching was click-through rate. It was hovering around 5% which is decent for a new channel. Average view duration was around 45% which meant people were
watching almost half of each video. YouTube sees that as a positive signal. videos that performed best were the ones with specific problem-solving titles. Generic titles like AI tools [music] you need to know got almost no clicks, but
specific titles like this free AI tool writes better than chat GPT got way more traction. So, I adjusted my strategy and started focusing on hypersp specific curiositydriven titles. This one change boosted my CTR to almost 7% by day 10.
Day 14, 2 weeks in, I'd posted seven videos total, and my subscriber count videos total, and my subscriber count was at 32. Views were around 800 total. numbers and think this experiment failed. But here's the thing, those 32
subscribers were real people who found value in the content. And more importantly, my videos were starting to get recommended. I could see it in the analytics. My traffic sources were shifting from search to suggested
videos, which is exactly what you want. Let's talk about monetization because about. You need 1,000 subscribers and 4,000 watch hours to get monetized through AdSense. I wasn't even close after 2 weeks. But here's where
automation and faceless channels have an advantage. You're not relying on AdSense. You can monetize through affiliate links from day one. I added affiliate links to AI tools in every video description. And by day 14, I had
video description. And by day 14, I had made my first affiliate commission, $18. Not life-changing, but it proved the model works. Someone watched my video, clicked the link, signed up for a tool, and I got paid. That's the power of
affiliate marketing. Day 21, 3 weeks in, I had posted 10 videos. Subscribers were at 61. Total views were around 2,000. And here's where things started clicking. One of my videos, the one about free AI tools, started taking off.
It went from 50 views to 300 views overnight. Why? Because YouTube tested it with a small audience, saw that people were watching and engaging and pushed it to a bigger audience. This is how the algorithm works. It's not
random. It's data driven. If your content performs well with a small group, YouTube scales it up. By this point, I had also figured out my content formula. Every video followed the same structure, hook with a bold claim or
the video covers, three to five main points with clear examples, a strong call to action at the end linking to another video. This structure kept my retention high and made it easy to batch create content. With Vid AI handling the
scripting, and 11 Labs doing the voice over, I could produce a video in under 2 hours start to finish. Day 30, the final day of the experiment. I had posted 14 videos total. My subscriber count was at $103. Total views were just over $4,000.
And here's the revenue breakdown. Affiliate commissions totaled $94. Not [music] this was a brand new channel with zero audience, and I only worked on it for 30 days. If I kept this pace for 3 months, I'd be well on my way to
Now, let's talk about time investment because this is crucial. I spent about two to three hours per video. That includes scripting with Vid AI, recording the voice over, gathering stock footage, and handing it off to my
editor. Over 30 days, that's roughly 30 to 40 hours total. So, if you break it down, I made $94 in 30 hours of work. That's about $3 per hour. Terrible, right? But here's the key. This is a one-time effort that builds a long-term
asset. Those 14 videos will keep generating views and revenue for months, YouTube. You do the work once and it pays you over and over again. Let me break down what worked and what didn't.
problem-solving titles, high contrast scripting, posting consistently, focusing on affiliate marketing from day one, adding clear calls to action, what
didn't work, generic titles got ignored, videos that were too long-lost viewers, waiting for AdSense revenue instead of monetizing early with affiliates, not engaging with comments in the first week. Here's some real talk. Faceless
YouTube automation is not a get-richquick scheme. It's a legitimate business model, but it takes time, consistency, and optimization. If you're in your first month, you're going to be disappointed. But if you're willing to
treat it like a real business, put in the work, and scale over time, the potential is massive. Main channel Matt runs multiple faceless channels that generate 5 figures per month, but he didn't get there in 30 days. He got
there by doing exactly what I did, but for 6 months, then 12 months, then 2 years. So, what would I do differently if I started over? First, I'd focus even more on affiliate marketing. I'd pick a niche with high ticket affiliate
programs because one sale can pay for weeks of work. Second, I'd batch create content. Instead of making one video at a time, I'd script five videos in one sitting, record all the voiceovers in one session, and hand them all to my
editor at once. This would cut down on time and mental friction. Third, I'd engage more with the audience. I'd reply to every comment, ask questions, and build a community from day one because subscribers aren't just numbers. They're
real people who can become customers, fans, and advocates for your channel. And here's the biggest lesson I learned. Automation doesn't mean zero effort. It means smart effort. [music] Tools like VidAi, 11 Labs, and Canva make the
process faster and easier, but you still need to guide the strategy. You still need to pick good topics, write compelling hooks, and analyze your data. The tools amplify your work, but they don't replace your brain. So, if you're
thinking about starting a faceless channel, use automation to speed up the creative decisions. All right, let's recap the 30-day results. 14 videos recap the 30-day results. 14 videos posted, 103 subscribers, 4,000 views,
posted, 103 subscribers, 4,000 views, $94 in affiliate revenue, 30 to 40 hours of work, and a scalable system that can grow from here. Is this enough to replace your income? No. But is it proof that faceless YouTube automation works?
Absolutely. The question is, are you willing to put in the work for the next 30 days and the 30 days after that and the 30 days after that? Now, if you want to discover how I run faceless channels like this and make them into a full
business, check out this video next to me, which is a full free course for running faceless channels right now on YouTube. See you there. And before you go, drop a comment and let me know. Are you ready to start your own faceless
channel or are you still on the fence? I'm reading every single reply and I might even feature your question in the next video. All right, Stickman Matt next video. All right, Stickman Matt out. Start building. Stay consistent.