Most of its reach comes from replying under other people's posts; original posts are fewer.
Followers 24.8KDiagnosed on 2026-10-11Followers 10-11 20:07Tweets 10-11 15:23
BScore 60
Reach check
Against the account's own previous week; not part of the score
Views dropped sharplyMedian views per post over the last 7 days are 57% below the 7 days before. It may be a change in topics or timing, or reduced distribution — public data can't tell which.
Scores by dimension
Out of 100 · 50 = the median of similar-size accounts
View efficiency
13
Views per post ≈ 9.2% of followers · ahead of 13% of similar-size accounts
Growth momentum
72
Followers +4.18% in 7 days · ahead of 72% of similar-size accounts
Engagement quality
68
14.8 likes and replies per 1,000 views · ahead of 68% of similar-size accounts
Posting cadence
100
165 posts in the last 14 days, on 14 of them
Content consistency
93
The top post took 10% of 14-day views (31 posts)
Findings
Strengths
Posting cadence165 posts in the last 14 days, on 14 of them
Content consistencyThe top post took 10% of 14-day views (31 posts)
To improve
View efficiencyViews per post ≈ 9.2% of followers · ahead of 13% of similar-size accounts
Suggestions
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.
