# Twitter Profile Views > Where the profile visit count lives, what it actually counts, and why it is not the metric LinkedIn shows you. - Source: https://tweetsweep.com/blog/twitter-profile-views - Published: 2024-09-24 - Updated: 2026-08-16 - Reading time: 5 min --- ## Profile visit counts In analytics over a specified period, X lists profile visits as an anonymized total, not including specific details like dates. You will not see one by one who has looked at whom and when. It appears on the analytics dashboard alongside impressions and engagements. It gets refreshed once someone visits your profile from search, mention or post. It's a number, but it's not in the list; doesn't count retreads from new stuff. For repeated visits, the same number still contributes to the total. Key Indicators Read the figure over that range from open analytics [Time Periods]. Whatever period you choose changes the number you see in numbers. On the main analytics screen, a 28-day window is common. But profile visits denotes someone opened your profile page, not read a tweet on the feed. The metric is more limited than LinkedIn’s, which names who visited; X only counts the number. The post that made it go up and get views made the number pop — so from this we find out a viral post is added to make readers go into the profile. Clicking the number for further details isn't possible on a free account. This just shows a card with the int for the selected dates. ## Post impression numbers Each post you make has a view count displayed under it and this public counts displays to all viewers of the post. That figure is for impressions: how often the post was displayed on a screen — not how many individual, unique people saw it or how many profiles visited yours. The count appears beside the reply, repost and like icons in the web timeline and app. Selecting or clicking it brings up a mini performance panel for that individual post. Impressions include search, replies, and the For You feed They all say that the public number cannot be hidden. It expands as the post flows around. Impressions, Engagements and Profile visits from that post as well as follows which came from it — are shown in the post level panel. Profile clicks here represent the users who filtered through to your profile from that post. That is better than the visit total that spans your whole account. These numbers are updated with a lag that ranges from minutes to hours. It is the free post panel that does not get you a graph. The public impression number under the post That all people can see, even unfollowers. This tweet started to follow the follows here. ## Premium analytics extras The main analytics page contains additional graphs for Premium subscribers. If you select a date range then Trends over time is shown as the line for profile visits, impressions and engagements. Post breakdowns allow you to sort your recent tweets based on which ones resulted in the most profile views. Another significant detail remains anonymous. The overview cards give you percentages and comparison with last times. After the account has been upgraded, this same Analytics item in the left sidebar opens a fuller view. None of those charts includes any names at all. The premium post breakdowns reveal which tweets sent people to the profile and which tweets did nothing but collect likes. The table can be filtered by date and metric. Trends allow you to see if a week of posting made things better, or left them unchanged. None of this reveals identities. On the web dashboard are simply extra graphs and period comparisons. For a raw visit count all you need is the free analytics, which will show it without an upgrade. Sort the table to display posts that got people from the table to profile page ## Missing visitor names There is no list of names. You know that X in no way tells you who visits your profile and it never has. The analytics count is anonymous by design. No setting unlocks identities. Any third-party app or website that claims to offer a named list of people who have visited your profile is simply lying. They cannot read the data because it does not exist in the public API. They are there to collect your log-in credentials or the account permissions you give when you authorize these services. Connecting one is a real danger, not just an innocent experiment. Never, EVER give your password to any site that offers to show visotors their password. Do not grant this access to an untrusted application figuring it can read or write for you. X has neither provided a visitor log nor made any semblance of the type available as some other networks. You will never see any numbers except these aggregated counts already described. Close the tab if any browser extension or bot promises you names. Lack of names is not a bug you can sidestep with a neat trick. Ignore ads that claim otherwise. Those ads are the bait. ## Analytics access locations In the web application, open the left sidebar, then select Analytics. The dashboard opens, with the date picker on top, and among other metrics, a card that displays profile visits. You are also able to access post analytics by selecting the view count from any of your own posts, which creates a sliding in panel next to that tweet with those particular numbers. Both paths use the same data. The analytics URL should be bookmarked for frequent checking. When you are logged in with a desktop browser, the sidebar item is your most reliable entry. On mobile, tap on the view count below one of your posts to view post analytics. They have the impressions, engagements, profile visits, and follows that can be attributed to the post on that screen. The full account analytics dashboard is much easier to use on the web compared to in app. Just after a tap, the numbers show right up for that tweet. To get back to the timeline, swipe or tap left. Keep in mind that the profile visits on this screen are only those coming from the post you clicked—not the account total. Use web for the account-wide visit card ## Visitor landing impression The next few seconds is why a profile visit matters. The person arrives at your profile, sees what you look like, the biography and the first posts that appear on the timeline and then make a decision to follow or not. This is the impression they leave with if the top of your timeline is either a fight years old or an avalanche of deleted-context replies. You control that surface. Do you want to do this, pin a current post. What we can see of your history traces back to what you have made public. As far as scroll order, its newest first unless you pin. The part you can control is curating what a visitor lands on. TweetSweep lets you glance back at your history presented as a calendar, and remove the periods you would prefer not to be judged on. Instead of running down your timeline taking each tweet one by one, open up the calendar emerge a date range of old posts and delete them en masse. When those posts are removed, a new visitor looks at the work most recently followed. Which means they are actually using the visit count like people are coming. Set the landing look like what you want them to land.