TikTok analytics is the free dashboard inside TikTok Studio that reports how your account and each post perform. It is split into Overview, Content, Viewers, Followers and LIVE tabs, and every post has its own page with views, retention rate, average watch time, the share of people who watched to the end, traffic sources and viewer details. TikTok's Help Center article on how to use TikTok Analytics calls it a performance-tracking tool for content performance, audience demographics and engagement trends.
This guide is a glossary first. It defines each metric in TikTok's own terms, flags the data rules that make the numbers easy to misread, suggests an order for reading the dashboard, and ends with a weekly review template you can copy. How these metrics relate to the recommendation system is covered in how the TikTok algorithm works; designing tests around them is covered in our TikTok content testing framework.
Where to find it, and how far back it goes
TikTok's Creator Academy introduction to analytics lists three routes in: in the TikTok app, go to your profile, open the menu, choose TikTok Studio and tap View all under Analytics; on TikTok Studio for the web, use the Analytics tab on the left; and in the separate TikTok Studio app, use the Analytics tab at the bottom of the screen.
The same page says you can choose the last 7, 28, 60 or 365 days or a custom range, that custom ranges on the web only reach back to July 17, 2022, and that you can download up to 365 days of data at a time. The Help Center's page on downloading Analytics data adds that the Download Data button is only available on desktop web.
If the dashboard is missing, check two things. TikTok's Help Center page on viewing Analytics says you need at least one public video before you can turn analytics on, that first-time users tap Turn on from the mobile app, and that the feature is not available on TikTok's mobile website. The how-to-use article also notes that analytics is not yet available to everyone.
TikTok Studio metric glossary
Definitions follow TikTok's analytics introduction unless another source is named. The right-hand column is a reading aid, not a TikTok definition. Labels can differ slightly between the app, the web and the Studio app, and between regions.
| Tab | Metric | What TikTok says it shows | How to read it |
|---|---|---|---|
| Overview | Post views | Views of your posts across the selected date range | A count of views, not of people; unique viewers live in the Viewers tab |
| Overview | Profile views | Visits to your profile in the range | Interest beyond a single video; read it alongside net followers |
| Overview | Likes, comments and shares | Totals your posts received in the range | Compare them to views, not as raw totals |
| Overview | Estimated rewards | Rewards estimated over the selected date range | Only relevant once you earn through a TikTok program; an estimate, not a final payment figure |
| Overview | Traffic source | How viewers discovered your posts | The split between the For You feed, your profile, Following and search |
| Overview | Search queries | The searches that led viewers to your content | Free keyword research for your next caption and on-screen title |
| Content | Your top posts | Your top-performing videos for the period, ranked by views, likes, new viewers or new followers | Sort by new followers to see which posts built the audience |
| Content (each post) | Retention rate | The percentage of the video that users watched, used to find drop-off points | Rewatch whatever is on screen where the curve falls |
| Content (each post) | Average watch time | The average time viewers spent watching the post | Judge it against the video's own length |
| Content (each post) | Watched full video | The finish rate: viewers who watched until the last few seconds, which moves with total length | Compare only with posts of a similar duration |
| Content (each post) | Traffic sources and viewer information | Where this post's viewers came from, and who they were | Shows whether a single post reached beyond your followers |
| Viewers | Unique and returning viewers | How many distinct people watched in the period, and how many came back | Rising unique viewers means reach is widening |
| Viewers | Viewer insights | Inferred gender, age and location, based on predictive models rather than confirmed user data | A direction, not a census |
| Viewers | Most active times | When your viewers were most active on TikTok in the last 7 days, per the analytics introduction | Covers viewers, not only followers |
| Viewers | Your audience also follows, also watches | Creators and posts your viewers watched recently | Formats and neighbours worth studying |
| Followers | Follower demographics | Gender, age and top locations, based on factors including what users put in their profiles | Who chose to follow, which can differ from who watched |
| Followers | Follower activity | When followers are active, broken down by hours and days | Your raw material for choosing posting times |
| LIVE | LIVE summary | Number of LIVEs, total LIVE views, total LIVE time, new viewers, new followers, unique viewers and Diamonds, filterable over 7 to 28 days according to the LIVE analytics article | Compare sessions by new followers, not only by Diamonds |
Search performance has its own report inside Creator Search Insights, with search views, the share of views that came from search, search impressions, click-through rate and average ranking. Those five metrics, and what to change when each one is weak, are set out in our TikTok SEO guide. For LIVE, TikTok's LIVE analytics article adds that replays stay available for 90 days, which lets you match spikes and dips in viewers to what was happening at the time.
Data rules that change what the numbers mean
Most misreadings of TikTok analytics come from the data rather than the content. These rules are spread across several TikTok pages, and the competing explainers rarely mention them together.
- Analytics start when you turn them on. The Help Center page for creators whose posts aren't getting views says data is only generated for videos posted after you enable the feature.
- Recent numbers are provisional. The same Help Center page says data may take one to two days to update, and the how-to-use article suggests waiting a few days if figures look wrong, because data can be delayed depending on the post.
- Two clocks are in use. That page also says follower activity is shown in your local time zone while all other analytics data is shown in UTC, so an early-morning post in Australia or a late-evening post in the Americas can land on a different date in the reports than on your calendar.
- Follower insights need an audience. TikTok's page on follower analytics not showing says more insights about viewers and the content they engage with appear once you have 100 followers.
- Demographics are modelled. Viewer insights come from predictive models, so a small account's age or gender split can swing week to week without the audience really changing.
- Finish rate depends on length. A longer post will usually show a lower watched-full-video figure than a short one, which says nothing on its own about quality.
TikTok's own pages also disagree about how much history you can see. An older Creator Academy article, understanding your audience, says custom ranges go up to 60 days and that Content metrics are available for the last seven days only. The analytics introduction, updated more recently, lists 365-day ranges and downloads of up to a year. Trust the date picker in your own dashboard over either page, and download your data on a regular schedule so that history you rely on does not depend on how long TikTok keeps it.
A reading order for the dashboard
Read from the account down to the post, so a single viral video does not distort your view of the week.
- Overview against the previous period: post views, profile views and the change in followers.
- Content, sorted by new followers, then by views: which posts built the audience, and whether they were the same posts that drew the most views.
- For the top and bottom posts, the traffic source first, then the retention curve, then average watch time and watched full video.
- Viewers: new against returning, to see whether you reached new people or served the same ones again.
- Followers: activity by hour and day, in local time, and top locations.
- Search queries, and Search Analytics for posts built around a search topic.
When one post stands out as weak, switch from this account view to the symptom-by-symptom tree in how to get more views on TikTok. When the follower activity chart is the question, our guide to the best time to post on TikTok turns it into a posting-time worksheet.
Weekly review template
Fill this in on the same weekday each week. Review a seven-day window that ended a couple of days earlier, so the update delay TikTok's Help Center describes has passed, and keep last week's copy beside it.
| Line on the template | Source in TikTok Studio | What to fill in |
|---|---|---|
| Review window | Date range picker | Start and end dates, noting that most figures are in UTC |
| Posts published | Your posts list | How many, and how many were episodes of your main series |
| Post views, profile views, follower change | Overview and Followers | This week, last week and the direction of each |
| Post that gained the most followers | Your top posts, ranked by new followers | Its topic, opening and length, and what it did differently |
| Post with the most views | Your top posts, ranked by views | Whether it also brought followers, or only views |
| Where views came from | Traffic source on your top two posts | The rough split between For You, profile, Following and search |
| New search phrases | Search queries | Any phrase that could become its own video |
| Biggest retention drop | Retention curve on your weakest recent post | The timestamp and what was on screen at that moment |
| New against returning viewers | Viewers tab | Whether reach widened or the same people watched again |
| Follower activity peak | Followers tab, in local time | The busiest days and hours, and any shift from last week |
| LIVE sessions | LIVE tab | New followers per session, if you went LIVE |
| One decision | Your notes | The single change for next week, and the line above that will show whether it worked |
If profile visits are part of a funnel to another platform, track them in a separate sheet with its own rules for attribution; our TikTok profile visit tracker is built for that, and keeps this weekly template focused on TikTok itself.
Benchmarks: compare against your own last week
Published engagement benchmarks mix account sizes, niches and definitions, so they rarely say much about your account. TikTok itself frames performance relative to your own history. Its Creator Weekly Report sorts each week by the change in your views: above a 100% increase is labelled massive growth, a 30% to 100% increase amazing growth, anything between a 30% fall and a 30% rise steady momentum, and a drop of more than 30% a building phase. Those bands are a sensible sanity check before you react to one week's numbers.
TikTok's article on using analytics to improve performance makes the same point about posts: uneven results between videos are normal, and a follower dip after a viral spike is common enough that the wider trend matters more than the loss. The TikTok Studio app can also show growth data from other creators, which is useful for studying formats, but their numbers come from a different audience and should not become your target.
If you are setting up these reviews as part of a longer push, the 30-day worksheet in how to grow on TikTok uses the same template at weekly checkpoints.
Limitations of this glossary
TikTok publishes short definitions, not calculation methods, so details such as exactly when a view is counted or how retention is sampled are not documented on the pages cited here. Metric names, tabs and date ranges change with app versions and can differ between the app, the web and the Studio app, and between regions; business accounts see a separate Business Suite with its own labels. Some figures, such as demographics, are modelled estimates by TikTok's own description.
The definitions here reflect TikTok's Help Center and Creator Academy pages as of 1 October 2026, and those pages already disagree with each other in places. Where your dashboard and this page differ, your dashboard is the current version. Analytics describe what happened; they cannot tell you on their own why it happened, which is what the weekly decision line and a controlled test are for.