A mix of strengths and weak spots — mid-table among similar-size accounts.
Followers 157KDiagnosed on 2026-11-13Followers 11-13 08:07Tweets 11-13 03:06
BScore 63
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
74
Views per post ≈ 89.1% of followers · ahead of 74% of similar-size accounts
Growth momentum
—
Needs 7 days of follower snapshots
Engagement quality
34
4.1 likes and replies per 1,000 views · ahead of 34% of similar-size accounts
Posting cadence
—
Needs 7 days of tweet data
Content consistency
85
The top post took 19% of 14-day views (22 posts)
Findings
Strengths
Content consistencyThe top post took 19% of 14-day views (22 posts)
View efficiencyViews per post ≈ 89.1% of followers · ahead of 74% of similar-size accounts
To improve
Engagement quality4.1 likes and replies per 1,000 views · ahead of 34% 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.
