A mix of strengths and weak spots — mid-table among similar-size accounts.
Followers 3.5MDiagnosed on 2026-10-11Followers 10-11 20:07Tweets 10-11 21:24
BScore 61
Reach check
Against the account's own previous week; not part of the score
Views look normalMedian views per post are −15% versus the previous 7 days — no sign of a sharp drop.
Scores by dimension
Out of 100 · 50 = the median of similar-size accounts
View efficiency
73
Views per post ≈ 18.8% of followers · ahead of 73% of similar-size accounts
Growth momentum
48
Followers -0.02% in 7 days · ahead of 48% of similar-size accounts
Engagement quality
35
7.3 likes and replies per 1,000 views · ahead of 35% of similar-size accounts
Posting cadence
100
1260 posts in the last 14 days, on 14 of them
Content consistency
48
The top post took 53% of 14-day views (43 posts)
Findings
Strengths
Posting cadence1260 posts in the last 14 days, on 14 of them
View efficiencyViews per post ≈ 18.8% of followers · ahead of 73% of similar-size accounts
To improve
Engagement quality7.3 likes and replies per 1,000 views · ahead of 35% 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.
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.
