How to get more views on YouTube

YouTube's own help pages say tags are near-useless, upload gaps do not correlate with growth, and publish time has no long-term effect. That rules out most popular advice. Here is what is left.

8 minute read

Start with what YouTube has actually published

YouTube has been unusually open about its recommendation system, and almost none of that material circulates among creators. Cristos Goodrow, a VP of engineering at YouTube, wrote in September 2021 that the system builds on six signals: clicks, watch time, survey responses, sharing, likes and dislikes. He also described why clicks alone were abandoned as a target. YouTube worked out in 2011 that clicking a video does not mean you watched it, so it moved to what it calls valued watch time, measured through one-to-five star surveys where only four and five star ratings count. Goodrow added that recommendations drive more viewership than subscriptions and search combined. If you are optimising for anything, optimise for the thing those surveys are asking about.

The things YouTube says will not move your views

YouTube's own performance FAQ quietly demolishes most of the advice you have been given. On upload frequency, it says it studied thousands of channels that took a break and found no correlation between break length and change in views, and that growth in views across uploads is not correlated with the time between them. On publish time, it says publish time is not known to affect a video's long-term performance. Tags exist mainly to correct spelling mistakes. Channel location settings are not used to decide what gets recommended. The recommendation system does not know which videos are monetised. Uploading a video unlisted and flipping it public later costs you nothing. That is six popular levers, all documented as non-levers, by the platform itself.

Why views fall when you changed nothing

The same FAQ gives four explanations for a drop that have nothing to do with anything you did. Your audience is watching more of other channels. Your audience is spending less time on YouTube overall. A video went unusually wide and brought in people who never came back, so the following uploads look weak by comparison. Or the topic itself is simply less popular than it was. YouTube's search and discovery guidance adds a fifth, which is the least comfortable one: you can get fewer impressions because videos from other channels are performing better. Your reach is not a fixed allocation. It is contested every time, and a flat month can mean somebody else improved.

The platform moved underneath everyone in the last year

Metricool's 2026 YouTube study, built from 799,718 videos across 71,177 accounts and comparing February 2025 with February 2026, found views rising sharply while engagement collapsed. Long-form views were up 76% year on year, Shorts views up 127%, and engagement down 45% over the same period. Shorts accounted for 61% of all views on the platform. The study also found that 83% of interactions arrive within the first ten days of publishing. Read together, those numbers describe a platform serving far more video to people who interact with it far less. If your view count grew while your comments and likes did not, you are not doing worse. You are matching the platform-wide pattern.

Shorts views127%Long-form views76%
Year-on-year growth in views by format, from Metricool's 2026 YouTube study of 799,718 videos across 71,177 accounts, comparing February 2025 with February 2026. Over the same period the study found engagement down 45% and Shorts accounting for 61% of all views. These are platform-wide averages across all account sizes, not a promise about any one channel.

Retention is the lever you can actually see

YouTube's search and discovery guidance names average view duration and average percentage viewed as signals that inform ranking, alongside likes and post-watch survey results. Those are the two numbers in your analytics that map most directly onto what the system measures, which makes the retention curve the most useful screen in Studio. Read its shape rather than its headline number. A cliff in the opening seconds is a packaging problem, meaning the video did not deliver what the title and thumbnail implied. A steady slide through the middle is pacing. A drop right at the end usually just means the video finished. Those are three different edits, and the average percentage viewed on its own cannot tell them apart.

Read the Reach tab before you change anything

Studio's Reach tab tells you how people are finding you, and the answer changes what you should fix. Browse features covers Home, subscriptions, Watch Later and Explore. Suggested covers placements beside and after other videos, plus links in descriptions. Search is search. Each one behaves differently: YouTube says outright that a video picking up a lot of impressions, such as one placed on Home, will naturally show a lower click-through rate, while a video whose impressions come mostly from your own channel page will show a higher one. So a falling CTR can simply mean your reach grew. Check which traffic source moved before concluding your thumbnails got worse.

Shorts will get you views. Decide what you want them for

Shorts are the fastest route to a large view count and the slowest route to a relationship. Metricool found Shorts viewers spent roughly three times less time watching each Short than long-form viewers spent per video, which is the trade in one sentence. That is not an argument against them, it is an argument for knowing which job each format is doing. YouTube also reports a separate engaged views figure for Shorts in Analytics alongside the headline number, and that is the one worth comparing your Shorts against each other on. If you post both formats, judge Shorts on whether they bring people to the long-form, not on the view counter.

Volume is a production problem, not a motivation problem

Metricool's study found that only 11% of accounts under 10,000 subscribers moved into a higher subscriber tier over the year. That is a hard number, and it is mostly about output rather than effort, because a channel publishing twice a month gets very few attempts at finding what works. Since YouTube has told you that upload gaps and publish times do not decide long-term performance, the useful version of consistency is simply having more finished material. Recording once and cutting several genuinely self-contained clips from it is the cheapest way to raise volume without inventing new ideas, which is the whole point of a batching tool like FrameOS. More attempts at a consistent standard beats a perfect schedule you cannot feed.

FAQ

Why did my YouTube views suddenly drop?

YouTube's own performance FAQ lists four common causes that have nothing to do with your uploads: your audience is watching more of other channels, your audience is spending less time on YouTube overall, a recent video went wide without converting anyone into a repeat viewer, or your topic is less popular than it was. Its search guidance adds a fifth, which is that other channels' videos are simply performing better.

Does uploading more often get you more views on YouTube?

Not on its own. YouTube says it studied thousands of channels that took a break and found no correlation between break length and change in views, and that growth in views across uploads is not correlated with the time between them. More uploads help because they give you more attempts at finding what works, not because frequency is a ranking factor.

What is a good click-through rate on YouTube?

YouTube states that half of all channels and videos sit somewhere between 2% and 10%, which is a range covering half the platform rather than a target. It also warns that a video with many impressions, such as one shown on Home, will naturally show a lower rate, and videos under a week old or with fewer than 100 views vary far more widely.

Do tags and hashtags help you get more views on YouTube?

Barely. YouTube's performance FAQ says tags are used primarily to correct for common spelling mistakes. The same page says channel location settings are not used to inform recommendations, and that the recommendation system does not know whether a video is monetised. None of these are where a channel is losing views.

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