Audit intermediate Works with: Any AI

Posting Time, Format and Frequency Mix Audit

Table output

Test whether your posting schedule and format mix are working by comparing results by day, time and type, with a cautious two-week experiment.

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Help me decide whether my posting times and formats make any difference. Platform: [PLATFORM]. My audience is mostly in [AUDIENCE_TIME_ZONES]. I will paste a table of [NUMBER_OF_POSTS] posts with date, local time, day of week, format (image, carousel, video, text, link), reach, engagements, and clicks: [POST_TABLE]. My current schedule is [CURRENT_SCHEDULE].

Calculate and show your arithmetic: 1) Average reach and engagement rate (engagements divided by reach) by day of week, time block, and format. 2) The number of posts in each group so I can see how reliable each average is, flagging groups with fewer than [MIN_POSTS] posts. 3) A table with the columns Factor, Best-looking group, Worst-looking group, Difference, Sample size, and Confidence (low, medium, high). 4) Things that could be confusing the picture: one viral post, paid promotion, holidays, content topic differences. 5) A two-week experiment plan that changes one factor at a time, with how to record results, and a decision rule set in advance.

Rules: use only the data. Do not quote best-time-to-post statistics from outside sources, since they vary and I have not provided them. Platform algorithms change, so mark any statement about how the platform distributes posts [VERIFY]. Do not conclude from small samples. Do not schedule or post anything for me.

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