There comes a moment when simply posting on Twitter isn’t enough.
If you want to grow, improve your content, or understand how your audience reacts, you need data, real data. That’s exactly why I decided to export my Twitter analytics and break down my performance tweet by tweet.
I wasn’t doing this out of curiosity. I wanted to track which posts were responsible for my impressions, which formats performed better, and what type of content pushed new followers to my profile.
So, naturally, I subscribed to X Premium because I assumed it would give me a full analytics export.

And yes, Twitter does provide an export.
But the moment I opened the file, I realized something:
It wasn’t what I needed. Not even close.
The Disappointment of Paying for Premium
After upgrading, I went into Twitter Analytics expecting a detailed spreadsheet that showed how each tweet performed. I imagined rows of tweets with impressions, likes, retweets, engagement rate, link clicks, and media views, the kind of data you can actually use.
Instead, Twitter gave me what looks like analytics… but only on the surface.
What you receive is a daily summary report, not tweet-level performance data.

This means every row in the file represents one day, not one tweet. And the numbers inside those rows are totals, not individual metrics.
Here’s what that means in practice:
➡️ On a day where you posted 5 tweets and got 70,000 impressions, Twitter’s export shows 70,000, but doesn’t tell you which tweet produced them.
➡️ If you gained 800 new followers in a day, you can’t see which tweet caused the spike.
➡️ If you want to compare the performance of two tweets, Twitter makes it impossible.
So yes, Twitter gives numbers, impressions, likes, bookmarks, replies, reposts, profile visits, new followers, unfollows…
But the data is locked into daily totals, making real analysis extremely difficult.
Why Daily Summaries Don’t Help With Real Analysis
At first glance, having numbers for every day seems helpful. But here’s the problem:
A daily summary hides the details that actually matter.
You don’t know:
- Which tweet generated the highest impressions
- Which tweet brought the most new followers
- Whether images outperform videos
- What topics resonate most
- How posting time affects performance
- How individual tweets contribute to daily metrics
- Which hashtags or formats work best
It's like looking at your bank account and seeing only the total monthly spending without knowing what you spent it on.
You can’t improve what you can’t measure.
Creators, businesses, analysts, and anyone who takes performance seriously need tweet-level data, not a daily overview.
How to Export Twitter Analytics from X Premium (Step-by-Step)
If you still want to export what Twitter gives, here’s how to do it:
Step #1: Go to X Premium
Analytics export is a premium feature, so you must subscribe.

Step #2: Open Twitter Analytics
Visit the analytics dashboard through the left menu.

In the upper-right corner, you'll see a small download icon. Clicking it generates a CSV file.
Step #3: Go to Downloaded File
Inside this file, you’ll find:
- Date
- Impressions (daily total)
- Likes (daily total)
- Engagements (daily total)
- Bookmarks (daily total)
- Replies
- Reposts
- Profile visits
- New followers
- Unfollows etc.

This is useful if you want a macro-level view, but not helpful if you're trying to understand your content on a deeper level.
Twitter simply doesn’t export tweet-level analytics.
And that’s the real problem.
So I Looked for a Better Solution And Found Circleboom Twitter
If Twitter won’t give detailed analytics, then I needed a tool that would.
That’s when I tried Circleboom Twitter, an official X Enterprise customer.

Instead of daily totals, Circleboom gives actual analytics, the kind you can use to make real decisions, improve content strategy, understand your audience, and identify what really performs.
Here is everything Circleboom let me export that Twitter doesn’t:
1. Export All Tweets with Full Performance Data
This was the game-changer.
Circleboom lets you export tweets with:

- Impressions per tweet
- Engagements per tweet
- Likes, replies, retweets per tweet
- Link clicks
- Media engagement
- Engagement rates
- Tweet type (text, image, video, GIF)
- Posting time
- And much more

This is the foundation of real Twitter analysis, understanding what works at the tweet level.
You can:
- Compare tweets
- Sort high-performing posts
- Identify trends
- Analyze engagement patterns
- Build data-driven content strategy
- Run social audits
- Create reports for clients or brands
Twitter doesn’t provide this. Circleboom does.
2. Gender Distribution
Circleboom estimates your followers' gender breakdown.

This helps with:
- Audience profiling
- Brand partnerships
- Campaign targeting
- Adjusting tone, visuals, and messaging
Twitter provides nothing about gender; Circleboom fills that gap.
3. Country & Demographic Stats
Circleboom shows where your followers live, revealing your global reach.

This matters for:
- Scheduling posts for the right time zones
- Tailoring cultural references
- Identifying regional interest spikes
- Building localized campaigns
Again, Twitter doesn’t export or visualize this data.
4. Language Distribution
Many accounts unknowingly have followers who speak multiple languages.
Circleboom shows exactly which languages your audience uses.

This allows you to:
- Post in languages they understand
- Avoid content mismatch
- Target multilingual communities
- Improve engagement immediately
5. Best Time to Post (Follower Activity Heatmap)
This is one of the most valuable analytics features anywhere.
Circleboom analyzes when your followers are actually online and presents it as a heatmap, not a guess, not generic advice, but real activity data.

Posting at these times can dramatically increase impressions.
Twitter doesn't provide this insight either.
6. Follower Growth Graphics
Circleboom shows your follower growth day by day with clear visuals.

You can see:
- Which tweets caused spikes
- Which days led to unfollows
- How campaigns affect growth
- How your audience evolves
Cross-referencing this with your exported tweet analytics gives deep insight into your content impact.
7. Follower Characteristics
Circleboom also analyzes:
- Active vs inactive followers
- Verified vs unverified
- Bots or suspicious accounts
- Age of accounts
- Potential spam followers
This helps you clean your audience and improve reach quality.

8. X Interest Cloud (Word Cloud)
Circleboom builds a word cloud showing what your audience cares about based on their bios, follows, and behavior.

This is incredibly valuable because:
- You can create content your followers actually want
- You see trending topics inside your community
- You can tailor your messaging for maximum engagement
It's like holding a mirror up to your audience’s mind.
Why Circleboom Is the Best Way to Export Twitter Analytics
Let’s compare:
| Twitter’s Export | Circleboom’s Export |
|---|---|
| Daily totals only | Full tweet-by-tweet analytics |
| No tweet-level data | Audience demographics |
| No detailed follower insights | Language distribution |
| No demographics | Gender distribution |
| No posting-time analytics | Growth graphs & trends |
| No audience interest data | Best posting times (heatmap) |
| No visualization tools | Interest clouds (Word Cloud) |
| Very limited insight depth | Geographical audience mapping |
| No CSV export for complete analytics | CSV export for all metrics & tweets |
One gives you numbers.
The other gives you answers.
Final Thoughts
I paid for X Premium expecting to unlock useful analytical exports, but the daily summary was simply not enough. Twitter only gives a surface-level overview — helpful, but incomplete.
Circleboom Twitter, on the other hand, gave me everything I needed to run a real analysis:
- Full tweet-level exports
- Deep audience insights
- Timing, demographics, and interest analytics
- Growth tracking
- Clean, exportable information
If you truly want to export Twitter analytics and use them for strategy, growth, reporting, or content improvement, Circleboom is the most complete and reliable option available today.

