content-pattern-analyzer-sms

Provide at least 15-30 posts with per-post metrics like impressions, likes, comments, reposts, and saves. The analysis groups posts by topic, format, hook type, tone, length, and posting time, then ranks each category by average engagement rate against your baseline.

A minimum of 30 posts is recommended for reliable patterns. With fewer than 15 posts, results come with caveats, and analysis is not attempted with fewer than 10 posts because the sample size is too small for pattern detection.

Yes. You can manually provide post history via CSV export, analytics screenshots, or a structured template capturing date, format, topic, hook type, and engagement metrics for each post. The same seven-dimension analysis then applies.

Yes. It compares engagement rate, save rate, and repost rate for identical or near-identical content published on multiple platforms, and flags format mismatches when cross-posted content underperforms without adaptation.

Pattern analysis looks across many posts to find which topics, formats, and hooks consistently over- or underperform. Per-post metric breakdowns and individual post diagnoses are handled by the performance-analyzer-sms skill instead.

It does not track follower growth, generate prioritized action plans, or write new content. It also cannot run without sufficient post data and only accesses external analytics when BlackTwist MCP tools are connected.