Key takeaways
Twitter analytics cover impressions, engagements, engagement rate, profile visits, link clicks and followers over time.
The full account dashboard has been part of X Premium since 2024. Free accounts still see each post's public views and engagement counts.
You cannot see another account's private analytics, only its public numbers. Free tools like our Twitter account audit read those.
Third-party tools have catches: Buffer lists basic Twitter analytics for X Premium profiles only, and Metricool charges an add-on for Twitter. Checked 22 October 2026.
Twitter's ranking code weights a reply at 5.0 and a like at 0.66, but on predicted probabilities, so your dashboard cannot reveal your ranking.
For creators, track repeat engagers, engagement by tone, Style and Stance, drift and effort versus response, weekly and monthly rather than daily.
Updated 22 October 2026. New first half on how to see your Twitter analytics, what the dashboard measures, free options, analytics for another account and the tools compared. The creator metrics that follow were tightened, and claims about third-party tools were rechecked on their own pages.
Twitter analytics are the numbers Twitter keeps on your posts and account: impressions, engagements, engagement rate, profile visits, link clicks and follower changes. The full account dashboard has been part of X Premium since 2024, while free accounts still see each post’s public view, like, repost and reply counts. For creators, the numbers worth acting on are the ones that show whether readers come back, not just how many saw a post.
How to see your Twitter analytics in 2026
Full dashboard: account-level analytics sit in the Premium section of the app and website. When Twitter launched the new dashboard in 2024, Social Media Today reported that account analytics became paid-only, and that is still how it works.
Without Premium: every post shows its public view count and like, repost, reply and bookmark counts, so you can still track post-level performance by hand.
Twitter analytics login: there is no separate login. You sign in to your Twitter account; the dashboard appears only on a Premium account.
Deciding on Premium: Twitter Blue vs X Premium covers which tier makes sense, if any.
What the Twitter analytics dashboard measures
The Premium dashboard reports impressions, engagement rate, profile visits, video performance and link clicks, according to coverage of its launch. Here is what each number means.
Impressions: how many times a post was shown. They follow the algorithm’s reach decisions more than the quality of the post.
Engagements: likes, replies, reposts, bookmarks, clicks and profile taps on a post.
Engagement rate: engagements divided by impressions. Our free engagement rate calculator does the maths for any post.
Profile visits and link clicks: the best built-in signs that a post made someone want more of you.
Followers over time: a lagging snapshot. Useful as a trend, weak as a target.
For what public benchmarks say a normal rate is now, and why it keeps falling, see why Twitter engagement is down in 2026.
Free Twitter analytics, and analytics for another account
Another account: you cannot see someone else’s private dashboard. You can read their public numbers: follower count, post counts and each post’s views and engagement.
Free checkers: our free Twitter account audit reports any public account’s audience, ratio, cadence and age, with no made-up dollar value.
Sudden drop in reach: before blaming your content, run the free shadowban checker.
Timing: the free best time to post tool answers “when” without a dashboard.
Twitter analytics tools compared
Where to get Twitter analytics. Third-party details are from each vendor’s own page, checked 22 October 2026.
Tool | What it gives you | Catch |
|---|---|---|
Twitter’s own dashboard | Account and post analytics | Requires X Premium |
Buffer | Post and channel insights alongside scheduling | Its channel table lists basic analytics for Twitter profiles on X Premium only |
Metricool | Analytics and competitor tracking across networks | Twitter is a paid add-on, not on the free plan |
Sprout Social | Team reporting and an inbox | From $79 per seat a month billed yearly |
VoiceMoat (ours) | Analytics for LinkedIn and Twitter next to drafting and scheduling | Built for those two platforms only |
Buffer’s full plan detail is in Buffer pricing in 2026.
Which numbers relate to how Twitter ranks posts
Twitter’s open-sourced ranking code scores posts on predicted actions, not on your dashboard counts. In the current parameters a reply is weighted 5.0, a like 0.66 and a share by copy link 20.0, while a report is -234.0, a mute -58.8 and a block -31.2. The weights multiply predicted probabilities, not counts, so you cannot work out your ranking from your analytics.
The practical read: replies, shares and profile visits tell you more than likes. The full list is in the 25 engagement signals and their weights, and the negative side is in mute, block and report signals.
Why default Twitter analytics misleads creators
Impressions reward reach, not quality. A mediocre post can catch the For You feed; a great one can miss it and still do real relationship work.
Engagement rate flatters cheap engagement. A hot take liked by strangers scores higher than a long reply from someone who reads everything you write.
Follower count is a snapshot. 5,000 readers who would know your post blind look the same as 50,000 who would not.
None of these is useless. Impressions, follower change and engagement rate are vanity metrics in the technical sense: easy to grow, and weak at predicting what you care about. Read them as a second opinion, not the scoreboard.
[ from the team behind this blog ]
Post on LinkedIn and Twitter in a way that reads like you
VoiceMoat is the Personal Brand OS for LinkedIn and Twitter. audenAI, the brain inside it, learns from your own posts, then helps you create, schedule and grow.
Creator plan $35 a month after the trial. Cancel anytime.
The 5 creator metrics most Twitter analytics miss
Style and Stance by post. Whether each post read as you when it went out. Your most-liked off-voice post tells you less about your voice than an average post that read on voice.
Engagement by tone. Which register (contrarian, instructive, playful, earnest) draws which response, across all your posts.
Repeat engagers. People who reply, quote or bookmark across weeks, not once.
Drift over time. Whether your drafts keep landing on voice, or keep needing the same fixes.
Effort versus response. Time spent on a post against what it earned.
Style and Stance by post
audenAI checks your drafts for Style and Stance before you post. Keep a simple note of how each published post read on it, and the history becomes a diagnostic:
Pull the posts that read On voice with every Style check matching. Those are your most “you” posts. Look at their engagement.
Pull the ones you posted despite flags. If they out-perform, you may be drifting toward generic high-engagement patterns.
Look at the split. If a large share went out with flags you overrode, you are running two voices.
Engagement by tone
Tag each post with its main tone in a spreadsheet, then compare average replies and bookmarks per tone each month. A standard dashboard ranks posts; this view ranks registers, so it tells you which version of you performed. Usually one or two tones carry most of the meaningful engagement, and sometimes the strongest is one you rarely use because it feels risky.
Industry benchmarks from vendors like Sprout Social tell you what an average account sees. Engagement by tone tells you what your own audience comes back for, which is the question that matters if your audience is not the average audience.
What is a repeat engager, and why is it the highest-signal metric?
A repeat engager is a follower who replies, quotes or bookmarks your posts consistently over weeks. Repeat engagement is the behavioural signature of parasocial connection: a reader returning to a writer they recognise. An impression is the algorithm’s decision; a repeat engagement is the reader’s.
Track the size and growth of that group, not raw followers. An account with 5,000 followers and 300 repeat engagers has a stronger moat than one with 50,000 followers and 80. The audience-quality case is in audience quality vs audience size.
Drift over time
Slow decline in Style matches: your voice has moved past your profile. Retrain; the cadence is in voice retraining.
Sudden drop: usually a new topic. Retrain once it settles, or accept more flags for a while.
A split into two voices: decide which is the real you and retrain on that.
React to a trend across 20 to 30 posts, never to one post.
How often should you check your Twitter analytics?
Less often than the dashboard tempts you to. A five-minute weekly glance at recent drafts’ Style and Stance and your repeat-engager count catches sudden drops. A monthly review of engagement by tone and the drift trend catches the slow changes that decide when to retrain. Daily checking trains you to react to noise.
How VoiceMoat shows these numbers
VoiceMoat, the Personal Brand OS for LinkedIn and Twitter, splits them across two places. Studio checks your drafts for Style and Stance before you post, and Voice Lab watches your content for drift so you know when to retrain. The analytics tab covers reach:
Headline numbers with the change against the previous period.
Your best times to post and what works for you: length, hooks, posts versus replies.
Top and bottom performers, with a written read from audenAI on what to do more of.
Repeat engagement over time, so you can see who keeps coming back.
Enterprise adds report export. Twitter’s own dashboard stays useful for sanity checks, and timing questions are covered well by schedulers such as Typefully and Buffer. VoiceMoat does not track time-on-post or demographic breakdowns.
Can you track creator metrics without a voice-trained tool?
Partly. You can keep a repeat-engager list by hand and tag tones in a spreadsheet. What you cannot rebuild by hand is a per-draft voice check, because it needs a trained profile of your own content to measure against. Five metrics, not fifty: Style and Stance, engagement by tone, repeat engagers, drift and effort versus response. If those move the right way, the impression numbers usually follow.
Frequently asked questions
How do I see my Twitter analytics?
The full account dashboard is in the Premium section of the Twitter app and website, and requires X Premium. Without Premium, each post still shows its public view, like, repost, reply and bookmark counts, which you can track by hand.
Is Twitter analytics free?
Not the full dashboard. Account analytics became part of X Premium in 2024. Post-level public counts are free for everyone, and free tools such as an engagement rate calculator or an account audit can fill some of the gap.
Can I see Twitter analytics for another account?
Only public numbers: followers, posts and each post's views and engagement. Private analytics such as profile visits and link clicks are visible only to the account owner. Free tools like our Twitter account audit summarise the public side.
What are the best Twitter analytics tools?
Twitter's own dashboard if you have X Premium. Beyond that, Buffer, Metricool and Sprout Social all report on Twitter, each with a catch: Buffer lists basic analytics for X Premium profiles only, Metricool charges an add-on for Twitter, and Sprout starts at $79 per seat a month billed yearly.
Which Twitter analytics metrics matter most for creators?
Repeat engagers, engagement by tone, Style and Stance by post, drift over time and effort versus response. Impressions, follower count and engagement rate are useful sanity checks but weak targets.
How often should you check Twitter analytics?
A five-minute weekly glance and a deeper monthly review. Drift and audience quality move over weeks, so react to a trend across 20 to 30 posts, not to a single post.
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