Threads Metrics
Updated 4 weeks ago
All metrics on the Threads page are organic.
Below, you’ll find all the available metrics for your Threads account.
For date ranges, comparisons, charts, and CSV exports, see How to use and explore the Analytics tab.
When you hover over the arrow next to the metrics, the percentage change compared to the same immediately preceding period is shown. For example, if a week is selected, it will be compared to the previous 7 days.
Community
✅ GROWTH
Followers: Total number of followers the account has at the end of the selected period (difference between the current day and the day before the selected period).
Profile views: The number of times your profile was viewed during the selected period.
Posts: Number of posts published during the selected period. Does not include reposts or replies.
Followers (Growth): Net increase or decrease in followers during the selected period.
Daily followers: Average number of followers gained per day within the selected period.
Followers per post: Average number of followers gained per post published during the period.
Daily posts: Average number of posts published per day.
Posts per week: Average number of posts published per week.
✅ LIKES BALANCE
The Followers balance records data of all the movements of our followers. If a follower, for example, unfollows and then follows us again, it would count as two Followers. Movements of deleted or restricted accounts are also included.
The Followers balance is designed to see our community's response to posts and to see which days more followers are gained or lost.
The graph helps us visually see the days when more followers were gained or lost, showing the net increase or decrease for the day. In summary, the Metricool balance shows the difference in the number of followers each day compared to the previous day.
Followers: Number of the followers balance in the selected period.
Demographics
Demographic data: Gender, age, followers by country, and followers by city of our followers. Threads will only generate metrics from 100 followers. It can be viewed as a chart or as a table.
Posts published in period
Shows the posts that were published within the selected period. The data displayed corresponds to the accumulated performance of each post, that is, from its publication date up to yesterday. This allows you to analyze the overall performance of your posts, even though the filter only determines which posts are included based on their publication date.
✅ SUMMARY
Engagement: See section What is engagement?.
Interactions: Total number of actions users performed on posts, including likes, replies, reposts, quotes and shares.
Views: Total number of times the posts were displayed.
Posts: Total number of posts published in the selected period.
✅ INTERACTIONS
Likes: Total number of likes on the posts.
Replies: Total number of replies on the posts.
Reposts: Total number of times the posts were reposted.
Quotes: Total number of times your posts were quoted by other accounts. A quote occurs when a full post is quoted and a comment is added.
Shares: Total number of times the posts were shared.
Posts: Total number of posts published in the selected period.
✅ TYPES
In this metrics section, you can view as a chart or as a table if interactions were made on links, images, an event, or videos in your posts.
✅ LIST OF POSTS
Type: Type of post: link only, video, or image.
Date: Date when the post was published.
Views: The number of times the post was displayed.
Likes: The number of likes on the post.
Replies: The number of replies on the post.
Reposts: The number of times the post was reposted.
Quotes: The number of times the post was quoted.
Shares: The number of times the post was shared.
Engagement: See section What is engagement?.
What is engagement?
Engagement measures how users interact with your content in relation to how visible or far-reaching it is.
In Metricool, you can choose between different calculation formulas.
Note: The engagement of competitors is calculated differently from your own account. We recommend adding your own account as a competitor to make the data comparable.
Learn more here.