Most of its reach comes from replying under other people's posts; original posts are fewer.
Followers 5,544Diagnosed on 2026-10-31Followers 10-31 08:07Tweets 10-31 09:11
AScore 71
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 99% 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
96
Views per post ≈ 2078.2% of followers · ahead of 96% of similar-size accounts
Growth momentum
93
Followers +25.72% in 7 days · ahead of 93% of similar-size accounts
Engagement quality
1
1.3 likes and replies per 1,000 views · ahead of 1% of similar-size accounts
Posting cadence
79
210 posts in the last 14 days, on 9 of them
Content consistency
66
The top post took 38% of 14-day views (18 posts)
Findings
Strengths
View efficiencyViews per post ≈ 2078.2% of followers · ahead of 96% of similar-size accounts
Growth momentumFollowers +25.72% in 7 days · ahead of 93% of similar-size accounts
To improve
Engagement quality1.3 likes and replies per 1,000 views · ahead of 1% 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.