X Analytics Guide: How to Track Your Performance on X in 2026
If you're not tracking your X analytics, you're flying blind. Every successful X account uses data to understand what's working, what's not, and where to double down. This guide covers everything from accessing your X analytics dashboard to understanding the metrics that actually drive growth. Whether you use X's built-in analytics or third-party tools, this is your complete reference for data-driven X growth.
How to Access X Analytics
X Built-In Analytics
X provides free analytics to all users. Here's how to access them:
- Desktop: Click "More" in the left sidebar, then select "Analytics"
- Mobile: Tap on any of your posts, then tap the analytics icon (bar chart) to see individual post metrics
- Direct URL: Visit analytics.x.com while logged in
X Premium Analytics
X Premium subscribers get enhanced analytics including:
- Detailed audience demographics
- Extended historical data
- Follower growth trends
- Content performance breakdowns by type
- Best performing posting times specific to your account
The X Metrics That Actually Matter
Not all metrics are created equal. Here's what to focus on and what to ignore:
Tier 1: Growth Metrics (Track Weekly)
Engagement Rate
- What it is: Total engagements divided by total impressions, expressed as a percentage
- Why it matters: The single best indicator of content quality. High engagement rate = algorithm boost.
- Good benchmark: 2-5% is average, 5-10% is strong, 10%+ is exceptional
- How to improve: Create more of what gets bookmarked and replied to, less of what only gets likes
Follower Growth Rate
- What it is: Net new followers per week/month
- Why it matters: Measures the overall health of your growth strategy
- Good benchmark: 2-5% monthly growth is healthy, 10%+ is exceptional
- How to improve: Focus on reply strategy and bookmark-worthy content
Profile Visit Rate
- What it is: Number of profile visits per impression
- Why it matters: Indicates your content creates enough curiosity for people to check you out
- Good benchmark: 1-3% of impressions leading to profile visits
- How to improve: End posts with intrigue, use compelling bio and profile
Tier 2: Content Metrics (Track Per Post)
Impressions
- What it is: Number of times your post was displayed in someone's feed
- Why it matters: Shows your potential reach. An impression means your post appeared, not that it was read.
- Context: Impressions alone are meaningless without engagement data
Bookmark Count
- What it is: Number of times people saved your post
- Why it matters: The strongest algorithm signal and indicator of truly valuable content
- Good benchmark: 1-2% bookmark rate (bookmarks / impressions) is excellent
Reply-to-Like Ratio
- What it is: Number of replies compared to likes
- Why it matters: High ratio indicates conversation-starting content, which the algorithm loves
- Good benchmark: 1:5 or better (1 reply per 5 likes)
Tier 3: Vanity Metrics (Don't Obsess Over These)
- Total follower count: Matters less than engagement rate. 5K engaged followers outperform 50K inactive ones.
- Like count per post: Likes are the weakest algorithm signal. Don't optimize for likes.
- Repost count alone: Without context, reposts don't tell you much about content quality.
Building Your X Analytics Dashboard
Track these metrics weekly in a simple spreadsheet or tool:
- Weekly metrics row: Total impressions, total engagements, engagement rate, new followers, profile visits
- Top 3 posts: For each week, note your 3 best-performing posts and what made them work
- Bottom 3 posts: Your 3 worst performers and what to learn from them
- Content type breakdown: Track performance by content type (threads, single posts, polls, images)
- Time-of-day analysis: Which posting times got the best engagement?
Third-Party X Analytics Tools
AutoTweet Analytics
- AI-powered performance insights
- Automated content recommendations based on analytics
- Engagement prediction before posting
- Optimal posting time suggestions based on your data
- Integrated with scheduling for a complete workflow
Followerwonk
- Deep audience analysis
- Follower timezone mapping
- Activity pattern analysis
- Competitor comparison tools
Audiense
- Audience segmentation
- Interest and behavior analysis
- Influencer identification in your niche
- Community intelligence reports
How to Use Analytics to Improve Your Content
The Monthly Analytics Review Process
- Export your data: Pull your post performance data for the last 30 days
- Sort by engagement rate: Identify your top 10 and bottom 10 posts
- Find patterns: What do top performers have in common? Topic? Format? Tone? Time posted?
- Identify gaps: What content types are you not creating that could perform well?
- Adjust strategy: Create more of what works, experiment with new formats, stop doing what consistently underperforms
Key Questions to Ask Your Data
- Which content pillar drives the most engagement?
- What time of day gets the best engagement rate?
- Do threads outperform single posts?
- What topics generate the most bookmarks?
- What's your follower conversion rate (profile visits to follows)?
- How does your engagement rate trend month over month?
X Analytics vs. Twitter Analytics: What Changed
Since the rebrand from Twitter to X, several analytics features have changed:
- Bookmark visibility: You can now see bookmark counts on your posts (previously hidden)
- Enhanced creator analytics: X Premium subscribers get much richer data than Twitter Blue ever offered
- Revenue analytics: Creators in the ad revenue program can track earnings
- Algorithm transparency: More insights into why certain posts perform well
- Audience insights: Better demographic and interest data for your followers
Conclusion
X analytics is your roadmap to growth. The data tells you exactly what your audience wants -- you just need to listen. Focus on engagement rate and bookmark counts as your north star metrics, track your performance weekly, and do a thorough monthly review to continuously optimize your strategy.
The accounts that grow fastest aren't the ones with the most creative content -- they're the ones that systematically create more of what their analytics show is working. Make data-driven decisions, and your X growth becomes predictable and sustainable.
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