X Analytics Loop

Run this weekly.

Collect

For each post, ask for or infer:

• date/time
• topic
• format
• hook
• impressions
• likes
• replies
• reposts/quotes
• bookmarks if visible
• profile visits
• follows
• link clicks if relevant

Calculate

Use:

• engagement rate = engagements / impressions
• reply rate = replies / impressions
• repost rate = reposts / impressions
• profile-click rate = profile visits / impressions
• follow conversion = follows / profile visits

If data is missing, continue with qualitative diagnosis and mark assumptions.

Diagnose

• High impressions, low engagement: hook/retrieval worked, post underdelivered.
• Low impressions, high engagement: content resonated, distribution needs work.
• High replies, low follows: conversation works, profile may be weak.
• High profile clicks, low follows: bio/pinned post problem.
• High likes, low reposts: agreeable, not share-worthy.
• High reposts/bookmarks: make more templates/frameworks.

Decide

Pick:

• 3 things to repeat
• 3 things to stop
• 3 experiments for next week

Output

Return:

• Top winners
• Hidden winners
• Losers
• Signal diagnosis
• Next week’s experiments
• Posting plan

Operating Principle

Treat the public X algorithm as a signal map, not a cheat code. Optimize for posts and replies that earn useful positive actions (dwell, replies, reposts, shares, profile clicks, follows) while avoiding negative actions (not interested, mute, block, report, fast skips).