# How to find your best time to post on TikTok

> Use viewer activity to choose time slots, compare videos at the same age and decide which posting time to test again.


**To find the best time to post on TikTok for your account, start with viewer activity and test two time slots you can support.** Compare videos with similar formats and purposes, measured over the same time after publication. Use the results to choose the next posting time to test.

Suppose your account analytics show more activity in the evening, but your team finishes at 8 p.m. You could test 7 p.m., while someone can still answer questions, and keep a midday slot for comparison. That choice combines an audience signal with a practical constraint. You still need to observe what happens to the posts.

## Find your audience activity signal

The [TikTok Studio documentation](https://support.tiktok.com/en/using-tiktok/creating-videos/tiktok-studio) separates **Viewers**, with key metrics, demographics and activity times, from **Followers**, with information about the people who follow your account. Check which group your chart describes. Someone can watch your content without following you.

TikTok also explains that its tools [vary across the app, browser and regions](https://support.tiktok.com/en/using-tiktok/creating-videos/creator-tools-on-tiktok). Its mobile instructions say to open Profile, tap the menu and choose TikTok Studio. Then look for the analytics available to your account. If the browser version only shows other reports, check the app experience; the same fields may not be available in both.

Before copying a time into your calendar, note the report's period and stated time zone. If the chart does not identify the zone, confirm it before converting the time. Keep the audience's time separate from the time needed by whoever schedules the post: “19:00 in America/Santiago” lets you check a conversion for a particular date, while “at seven” leaves the location and date open. Daylight saving changes can alter that conversion.

Activity tells you when the audience measured by that report is present. By itself, it cannot tell you how many people will see your next post, how long they will watch or whether they will buy. Use the chart to select candidate slots and keep the observation behind the choice.

## If you need a posting time for a specific day

If you need to post on Tuesday or over the weekend and your report offers a daily activity breakdown, check it before copying a slot that worked on Friday. If it does not, keep the day in your publication log and compare results once their observation windows are complete. Record the date and time zone too, so you can compare Tuesdays with Tuesdays or weekends with weekends once you have enough observations.

A table that pools many accounts may suggest a slot to explore, but it does not identify the best time for your audience by itself. The 7 p.m. example below is not a general recommendation for Chile either: it is a fictional choice that combines activity, staff availability and results from an invented account.

## Compare posting times at the same post age

Choose two specific slots you can maintain and decide what you will measure. For a product demonstration, you could start with each video's views during its first seven days. If you need inquiries, also record the inquiries you can link to each post, using a separate definition. Keep the metric consistent when reading the results.

Let every video complete the same observation window. Comparing one video's first seven days with another video's first few hours favors the one that had longer to accumulate results. If you publish the last video today, leave its result pending until it reaches the agreed age.

Keep the format, purpose and conditions as similar as practical: demonstration against demonstration, organic distribution against organic distribution, on the same account. Note changes in the offer, subject, length, promotion or collaboration. If every evening post promotes a discount and every midday post teaches something, you cannot separate timing from content when interpreting the difference.

You can alternate slots on comparable days so that one does not always receive Fridays while the other receives Mondays. This helps organize the observation. Organic distribution and the people who receive each video can still differ; the comparison does not randomly assign audiences.

## A complete example: midday versus 7 p.m.

**Hypothetical example with invented figures to explain the method.** A shop compares six short product demonstrations on the same TikTok account. It publishes three at midday and three at 7 p.m., alternating the slots on weekdays. All receive organic distribution. It records each video's views exactly seven days after publication. The calendar and log use America/Santiago.

Its viewer report suggests activity between 8 and 10 p.m. The team can answer questions from noon to 1 p.m. and from 7 to 8 p.m., so it chose those two slots to test. The times and the activity signal are also assumptions for this example.

| Publication time | Views for each video | Median for the slot |
| --- | --- | --- |
| 12:00 · America/Santiago | Video A: 600; video B: 700; video C: 650 | 650 views |
| 19:00 · America/Santiago | Video D: 800; video E: 750; video F: 900 | 800 views |

To find the midday median, sort the values: 600, 650, 700. The middle value is 650. The evening values become 750, 800, 900, with 800 in the middle. This compares a typical post in each small group. Look at all six values too: a single video with many views could move a mean considerably.

In this log, all three 7 p.m. demonstrations received more views than the three midday demonstrations. The team decides to **keep 7 p.m. as its first choice for the next demonstration series**, while retaining some midday posts for further observation. This is a descriptive difference across six videos; their content and distribution could have influenced it. The data does not identify an optimal time for every post the shop publishes.

The team would also change that choice for an offer that expires at 6 p.m.: it would need to publish earlier so people could use it. The offer's deadline changes the decision even though the video log favors the evening. If a post needs individual follow-up and nobody will be available, adjust the time or explain when anyone who writes can expect a reply.

## When your account has little data

Start with a slot that makes sense for the audience you want to serve and fits your working day. Record it as a hypothesis. A new account or a report without enough activity does not yet provide evidence for calling a particular time its “best posting time.”

Publish useful content at a pace you can sustain, let observation windows mature and add comparable results. One video that took off at 11 p.m. may justify examining that slot; it does not establish that posting at that time explains its performance. If the results overlap heavily across slots, you can keep the more practical option while investigating the content further.

To work out how many posts your team can produce, use the [posting frequency analysis](/en/guides/social-media-posting-frequency/). For a more detailed comparison, read [how to test content and interpret its limits](/en/guides/social-media-content-testing/). Once you have chosen a slot, [scheduling TikTok posts from a computer](/en/solutions/schedule-tiktok-on-desktop/) covers preparing the scheduled post.

The cited documentation supports the tools and their availability differences. The slot comparison and example are editorial proposals, with no real account results or posting-time benchmark. The cover is an AI-generated illustration.

## Plan your next post in HeyMark.

Keep the idea, review the draft with your team, and see how it performed in the accounts you connected.

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