Analytics8 min read
Twitter Analytics on X: What It Shows and What It Doesn't
How to see Twitter analytics on X, what impressions, engagements and engagement rate mean, what X does not keep, and how to build your own record of post results.
Blog
LinkIntel starts with X. The guides below were written when it measured LinkedIn, and they still hold for reading LinkedIn’s own numbers.
Start here
Analytics8 min read
How to see Twitter analytics on X, what impressions, engagements and engagement rate mean, what X does not keep, and how to build your own record of post results.
Analytics7 min read
What profile views (visits) mean on X, how they differ from impressions and engagements, why numbers disagree, and why nobody can see who viewed your profile.
Guide8 min read
An MCP server is a program that gives an AI assistant tools and data through the Model Context Protocol. What it does, how to connect one, and a worked example.
Everything else
Analytics7 min read
Three ways to get your own X post results in front of Claude: an exported archive, X's official MCP server, or an MCP server that stores measured snapshots. What each needs and can tell it.
Analytics7 min read
A good LinkedIn CTR is roughly 0.4% to 0.65% for ads; LinkedIn publishes no organic benchmark. How CTR is calculated, why yours may be low, and how to check it.
Analytics8 min read
How far back LinkedIn analytics goes, how to see posts older than a year, and how to keep your own archive with monthly exports before the window closes.
Analytics6 min read
Impressions count every time a post is shown, members reached counts unique people, and views depend on the format. What each means and which to report.
Analytics7 min read
The LinkedIn KPIs worth tracking, how each is calculated, typical benchmark ranges by account size, and which vanity numbers to ignore.
Analytics7 min read
An MCP server for X post analytics lets your AI assistant read how your X posts performed. Read-only versus read-write servers, what to check before connecting one, and where LinkIntel fits.
Guide9 min read
How the X algorithm weights replies, shares, reports and more, read from X's open-source ranking code, with recent weight changes linked to commits.
Analytics8 min read
How far back X Analytics goes, how to see older posts, what the CSV export includes and leaves out, and how to keep your own running record of post metrics.
Guide7 min read
The best time to post on LinkedIn by day and industry, plus how to find yours from LinkedIn's own audience analytics export. Free tool included.
Tutorial10 min read
Learn how to download your LinkedIn analytics data from personal profiles and company pages. Step-by-step instructions with screenshots.
Tutorial14 min read
Master LinkedIn analytics with this complete beginners guide. Learn every metric, interpret your data, and get actionable strategies to improve performance.
Analytics14 min read
Learn how to integrate LinkedIn analytics with Google Analytics for tracking. Set up UTM parameters, track conversions, and measure ROI.
Analytics9 min read
Complete guide to LinkedIn impressions: what they mean, how they are calculated, and how to use impression data to improve your content strategy.
Guide14 min read
Why planned content calendars kill LinkedIn authenticity. Real-time posting drives 3x better engagement and business results than content planning.
Analytics7 min read
Master the art of LinkedIn analytics interpretation with advanced techniques that reveal hidden growth opportunities and optimization insights.
Analytics6 min read
Most businesses focus on the wrong LinkedIn metrics, missing opportunities to convert engagement into revenue. Here's what you should track.
Guide6 min read
Analysis of 50,000+ LinkedIn posts reveals the surprising reasons most content strategies fail—and the simple fixes that drive real engagement.
Elsewhere on the site
The product
Hand your assistant the X posts you want to learn from. LinkIntel stores what they actually did and gives it back as a cited brief before the next draft. $39 a month. More in the FAQ or about LinkIntel.