Search results

I’d say policy violations are usually the main reason since even small issues can trigger rejection.

You don’t need much to get started. I’d focus on choosing a niche first, then learn the basic workflow of scripting, voiceover, visuals and editing. AI can speed up production, but the videos still need original value if you want to monetize them.

One video on a brand new channel may simply not give YouTube enough data yet so I would upload consistently before worrying about trust score.

I usually give it enough time to gather meaningful data rather than switching it off too quickly.

The key is making Shorts that attract the same audience who would actually want your longer videos. YouTube Analytics also lets you see the overlap between viewers watching Shorts and long-form content.

AI can be used for YouTube content, but I would focus on adding original value rather than fully automated uploads. Quality and viewer interest matter most for monetization.

Stories are still useful for keeping followers engaged while Reels are better for discovery and new reach.

I’d start by checking the audience, creative and campaign objective before increasing the budget. Beginners often change several things at once, which makes it hard to know what actually improved the results.

I agree, retention matters more than the actual length. A longer video works fine when the pacing keeps giving viewers a reason to continue.

Opus Clip is worth trying for automatic clipping and reframing from long videos.

If the ban was a mistake, I’d appeal through the option Facebook shows when you log in. I’d avoid making a new account immediately and first wait for the review result.

I would focus on consistent Reels with strong hooks and useful content because that seems to bring followers more naturally than chasing trends alone.

I think it’s usually audience interest changing over time rather than YouTube intentionally killing old channels. The algorithm focuses on viewer response, topic interest and competition.

If it has been in learning for 7 days I’d check the delivery status and whether it’s actually spending. Meta says the learning phase depends on getting enough optimization events, so low volume can keep it there longer.

Consistency has made the biggest difference for me because knowing what my audience expects helps keep engagement steady over time.