How to Track Twitter Analytics

Learn how to view aggregate and per-post Twitter/X analytics in Reepl, including views, likes, comments, shares, and more

Reepl tracks engagement metrics for your published tweets and provides both per-post analytics and an aggregate dashboard view. Use these to understand what content resonates with your X audience and optimise your posting strategy.

Before you start: You need a connected Twitter/X account with at least one published tweet.

Open Analytics

From the left sidebar, click Analytics and select the Twitter / X tab to see your aggregate analytics dashboard.

Choose a date range

Use the time range filter to narrow the data. Available ranges:

  • Last month
  • Last 3 months
  • Last 6 months
  • Last year

Review aggregate metrics

The dashboard shows a daily breakdown of your Twitter activity, including:

  • Post count -- how many tweets you published each day
  • Views -- total impressions across all tweets
  • Likes -- total likes received
  • Comments -- total replies
  • Shares -- total retweets and quotes

A Top posts section highlights your best-performing tweets with content previews and individual metrics.

View per-post analytics

From the Published tab in the content creator, click any published tweet to see its individual analytics:

  • Views, likes, comments, shares, quotes, bookmarks
  • Link clicks and profile clicks
  • A staleness indicator showing when metrics were last fetched

What the metrics mean

MetricWhat it measures
ViewsHow many times the tweet was displayed in timelines
LikesNumber of users who liked the tweet
CommentsNumber of direct replies
SharesRetweets (with and without comment)
QuotesTweets that quoted your tweet
BookmarksHow many users bookmarked the tweet for later
Link clicksClicks on any links in your tweet
Profile clicksUsers who clicked through to your X profile from the tweet

Tips

  • Compare post types. Track whether single tweets, threads, or polls drive more engagement for your audience. The aggregate dashboard makes patterns visible over time.
  • Check stale metrics. If a tweet's metrics have not been refreshed recently, the analytics card shows when data was last fetched. Metrics update periodically, not in real time.
  • Use analytics to inform scheduling. Cross-reference your best-performing tweets with the times they were posted to find your audience's peak engagement windows.