Best time to post on YouTube
Publish on YouTube so the opening impressions land while your existing subscribers are free to watch — usually ahead of the evening viewing block on weekdays, and ahead of the long weekend sessions rather than during them. YouTube keeps recommending a video for weeks, so timing shapes the start of that curve, not its ceiling.
Our YouTube posting time figures are not published yet
We only publish posting times we measured ourselves, from posts actually published through Bolta. That aggregate is still being compiled, so this page shows the reasoning without the numbers rather than recycling someone else’s round figures. It is excluded from search results until the data lands.
In the meantime, Bolta’s Optimal Time already computes the answer for your own account rather than a benchmark average.
Best time to post on YouTube by day of week
Windows are the periods when posts published through Bolta earned the most reach for the accounts in the sample; the peak column is the single strongest moment inside them. Follow a day for the reasoning behind it.
Why timing works on YouTube
YouTube distributes by recommendation, not by recency
On a feed platform, a post competes for a slot in a reverse-chronological stream and then effectively stops existing. YouTube does not work that way. The overwhelming majority of watch time arrives through search, suggested videos beside whatever someone is already watching, and the home browse feed — surfaces that keep re-serving a video for weeks or months after it went live, entirely independent of when you pressed publish.
That is why the honest version of YouTube timing advice is smaller than the industry version. A video that earns watch time will keep being recommended whether it went up in the morning or the evening. A video nobody finishes will not be rescued by a clever publish slot. The publish time is an input to the first stretch of the video's life, not to its total.
It also means the cost of a bad slot is delay rather than loss. On a live feed, a mistimed post is gone; on YouTube it usually just takes longer to find its audience — which still matters if you read early numbers as a verdict.
What publish time actually controls: the opening impression window
When a video goes live it is pushed to the people YouTube already trusts it with — your subscriptions feed, notification recipients, and a conservative slice of home-feed impressions for viewers with a history of watching your channel. That first cohort is where click-through rate and average view duration get measured against the channel's own baseline.
Publish while those people are mid-shift, mid-commute, or asleep and the same video collects impressions from a weaker moment: notifications get buried under later uploads, and the earliest clicks come from people watching in a hurry. Publish as your audience is settling into viewing time and the opening cohort is more likely to click and to stay, which is the signal that makes YouTube widen distribution sooner.
There is a mechanical reason to be early rather than exact, too. Uploads need processing before higher resolutions are available, and the title, description, chapters, and captions need to be indexed before search can serve the video at all. Scheduling the publish ahead of the window you are aiming at — rather than at its centre — means nobody arrives to a low-resolution, not-yet-searchable video.
Session length is the variable most timing advice ignores
YouTube is watched on televisions and desktops as often as on phones, and the surface changes what people are willing to start. A viewer with a few free minutes on a phone will open something short; the same viewer in a living room later that day will start something long. Timing a long-form upload for a moment when your audience only has pocket time is a mismatch no thumbnail fixes.
This is also where Shorts and long-form part ways. Shorts behave much more like a feed: consumption is continuous, the surface serves whatever is performing, and the publish moment carries less weight. Long-form rewards landing before a block of time your audience actually has — which is why the shape of the week matters more here than the shape of the hour.
The practical read: pick the slot that precedes your audience's biggest viewing block on the days you publish, keep it consistent so returning viewers learn when new work appears, and let the recommendation system do the rest over the following weeks.
How to find your own best time to post on YouTube
A table like the one above is an average of other people’s audiences. It is a starting hypothesis, not an answer. Here is how to replace it with the window that is true for your account.
Start with your channel's own viewer-activity report
YouTube Studio's Audience tab shows when your viewers are on YouTube, broken out by day of week, in your channel's time zone. This is real data about your subscribers rather than a genre average, and it is the only input in this list you get for free before you have run any tests. Read it as where the audience already is, not as a guaranteed publish slot.
Hold everything except the slot constant
Format, length, topic family, thumbnail quality, and how hard you promote off-platform all move first-day numbers far more than an hour of publish time does. Change the slot and nothing else. If you are also switching from tutorials to vlogs, or trying a new thumbnail style, the timing result you get back is unreadable.
Judge the opening window, not the lifetime totals
Compare impressions and click-through rate from the subscriptions and notifications surfaces in the period right after publish, plus average view duration for that early cohort. Lifetime views are dominated by search and suggested traffic that accumulates long after the publish moment, so they will not tell you whether the slot helped.
Run it long enough that each slot repeats
Give any test at least a month or two, so every candidate slot has been used several times across different weeks. Seasonality, holidays, and one video that happens to break out will otherwise decide the answer for you. Compare typical performance per slot rather than the best result each one produced.
Only trust a gap wider than your normal variance
Look at the spread across your recent uploads in the same slot first. If your click-through rate routinely swings by more than the difference between two slots, you have not found a timing effect — you have found noise. A dozen or more videos per slot is a reasonable floor before treating a difference as real, and if the gap is small, publish on the slot that is easiest to sustain.
Every day of the week on YouTube
Each day page carries what is structurally different about that day on YouTube — who is online, what they are doing, and how that changes what you should publish.
Frequently asked questions
Does posting time even matter on YouTube as much as people say?
Less than the SEO industry implies, and it matters differently. Because search, suggested, and browse keep serving a video for weeks, publish time cannot cap a video's reach — a good video found late still gets found. What publish time genuinely affects is the opening impression window: who sees it first, how quickly it earns the signals that widen distribution, and therefore how fast the curve starts. That is worth optimising after the thumbnail, the title, and the first minute of the video, not before them.
Should I upload earlier than I want the video to go live?
Yes, and schedule the publish rather than uploading at the moment you want it out. Processing higher resolutions takes time, and the title, description, chapters, and captions need indexing before search can serve the video. Uploading well ahead and letting the scheduled publish fire means the first viewers get the full-quality version of a video that is already findable.
Do Shorts follow the same timing rules as long-form videos?
No. Shorts are consumed in a continuous feed that serves whatever is currently performing, so the publish moment carries much less weight and volume plus early swipe-through behaviour carry more. Long-form depends on landing before a block of time when your audience is willing to start something long, which is why day of week matters more for long-form than for Shorts.
Is consistency more important than the exact hour?
For most channels, yes. Returning viewers build a habit around when your videos appear, and a predictable slot means notifications and subscriptions impressions arrive when people are expecting them. A slot you can hit every week beats a theoretically better one you hit half the time.
Does my audience's time zone matter if my viewers are global?
It matters less than on business-hours platforms, because YouTube's recommendation surfaces will serve your video to each viewer whenever they open the app. Where it still matters is the opening cohort — publish aligned to whichever region holds the largest share of your watch time, which Studio's geography report will tell you. Broadly distributed channels usually find timing effects small enough not to chase.
Should I publish before the weekend or during it?
Before is generally the safer bet for long-form. Weekend sessions are the longest of the week for most audiences, and a video that is already live and already indexed can be recommended into them from the start, rather than spending the beginning of that block being processed and tested. Publishing into the middle of a viewing block wastes part of it.
Do Premieres change the timing calculation?
They concentrate it. A Premiere asks people to show up at a specific moment for live chat, so it needs a slot your audience is genuinely free — closer to how you would time a live stream than an upload. If you cannot reliably gather an audience at a fixed moment, a scheduled ordinary publish will usually collect a healthier opening window.
My video underperformed. Was it the publish time?
Almost never the main cause. Click-through rate on the thumbnail and title, and retention through the opening stretch, explain most of the variance between videos on the same channel. Check those first; treat timing as a small optimisation you make once the fundamentals are steady.
Stop looking up posting times
A benchmark table is an average of other people's audiences. Bolta's Optimal Time reads your own YouTube history and schedules each post into the window that actually works for your account — then keeps adjusting as the audience shifts.
Methodology
These pages report posting times measured from posts published through Bolta — our own data, not a third-party benchmark. The aggregate is still being compiled, so no sample size, date range or figures are published yet and this page is excluded from search results.
When it publishes, this block will state the exact post count, the number of accounts, and the date range behind every number on the page.