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ZC | AI & 宏观拆解@zcswl7961
Reply-driven

Most of its reach comes from replying under other people's posts; original posts are fewer.

Followers 3,629Diagnosed on 2026-11-03Followers 11-03 08:07Tweets 11-03 09:37
BScore 69

Reach check

Against the account's own previous week; not part of the score
Views look normalMedian views per post are +433% 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
68
Views per post ≈ 190.7% of followers · ahead of 68% of similar-size accounts
Growth momentum
96
Followers +35.91% in 7 days · ahead of 96% of similar-size accounts
Engagement quality
22
5.2 likes and replies per 1,000 views · ahead of 22% of similar-size accounts
Posting cadence
100
357 posts in the last 14 days, on 14 of them
Content consistency
47
The top post took 55% of 14-day views (35 posts)

Findings

Strengths

  • Posting cadence357 posts in the last 14 days, on 14 of them
  • Growth momentumFollowers +35.91% in 7 days · ahead of 96% of similar-size accounts

To improve

  • Engagement quality5.2 likes and replies per 1,000 views · ahead of 22% 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.

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