Most of its reach comes from replying under other people's posts; original posts are fewer.
Followers 92Diagnosed on 2026-10-11Followers 10-11 20:07Tweets 10-11 20:38
CScore 30
Reach check
Against the account's own previous week; not part of the score
Can't compare yetNeeds at least 3 tweets past 24h in each of the last two weeks.
Scores by dimension
Out of 100 · 50 = the median of similar-size accounts
View efficiency
25
Views per post ≈ 29.5% of followers · ahead of 25% of similar-size accounts
Growth momentum
—
Needs 7 days of follower snapshots
Engagement quality
1
0.0 likes and replies per 1,000 views · ahead of 1% of similar-size accounts
Posting cadence
35
19 posts in the last 14 days, on 4 of them
Content consistency
92
The top post took 16% of 14-day views (11 posts)
Findings
Strengths
Content consistencyThe top post took 16% of 14-day views (11 posts)
To improve
Engagement quality0.0 likes and replies per 1,000 views · ahead of 1% of similar-size accounts
View efficiencyViews per post ≈ 29.5% of followers · ahead of 25% of similar-size accounts
Suggestions
Plenty of views, little interactionWhat to doEnd posts with a clear question and answer the first few replies.How to checkIn two weeks, see whether likes and replies per 1,000 views have gone up.
Views lag behind the follower countWhat to doLook at the top tweets by views and reuse their topics and openings.How to checkIn two weeks, see whether views per post ÷ followers has gone up.
The reach check compares the medians of the last two weeks; it shows a change in views, not its cause. The diagnosis uses only public data collected by this site: the account's own original posts (no retweets or replies), counted once a tweet is past 24h. View efficiency, growth and engagement are scored by rank among similar-size accounts (⅓–3× the followers); cadence and consistency by the account's own posting. A dimension without enough data is not scored and stays out of the total. For reference only — it says nothing about the account's standing on X.
