Your guide to X/Twitter analytics
X/Twitter moves fast. Analytics help you understand what connects and what disappears. This chapter covers the metrics worth tracking and how to use them.
Social Media Fundamentals
3 min read
Table of contents
Defining a social media strategy
Implementing a strategy
Company page fundamentals
Growing your audience
Design templates
Leveraging your employees
Social media analytics
LinkedIn Ads
Google My Business
Bonus: Website basics
Why track X/Twitter analytics?
X/Twitter is a fast-moving platform where content has a short lifespan. Tracking analytics helps you understand which tweets connect with your audience and which disappear without impact. Without data, you're posting blind.
For personal brands, X/Twitter can be powerful — joining conversations, sharing opinions on trending topics, and engaging with industry peers builds visibility quickly. For B2B company pages, the impact is less direct than LinkedIn, but maintaining a presence creates an additional touchpoint where prospects and clients can find you.
Track your metrics in Willow Analytics for an easier overview across all your channels.
The metrics that matter
Impressions measure how many times your tweet appeared on someone's timeline. This includes people who scrolled past it without engaging. High impressions mean your content is being distributed — but impressions alone don't tell you if anyone cared about it.
Engagement covers all interactions: likes, retweets, quote tweets, replies, link clicks, profile clicks, and media views. Each type tells you something different. Link clicks show your content drives action. Retweets show it's worth sharing. Profile clicks show people want to know more about you.
Engagement rate puts these numbers in context. Divide your total engagements by impressions. A tweet with 200 engagements and 4,000 impressions has a 5% engagement rate — meaning 5% of people who saw it took some action.
Track your engagement rate over time rather than comparing to benchmarks. Your own trend line is more meaningful than an industry average. If tips and insights consistently get a higher rate than promotional tweets, that's your signal to adjust your content mix.
Using the data
Review your analytics weekly given X/Twitter's fast pace. Look for patterns: do certain times of day perform better? Do tweets with questions get more replies? Do threads outperform single tweets?
Use those patterns to refine your approach. More of what works, less of what doesn't. The firms that grow on X/Twitter are the ones that treat the data as a feedback loop, not a report card.
