[{"data":1,"prerenderedAt":63},["ShallowReactive",2],{"use-case:linkedin-post-engagement-analysis:en":3},{"id":4,"title":5,"authorized":6,"body":7,"category":14,"context":15,"description":16,"extension":17,"goal":18,"limitations":19,"locale":24,"meta":25,"navigation":6,"path":26,"performedAt":27,"platforms":28,"prompt":30,"published":6,"redacted":6,"results":31,"screenshots":37,"seo":42,"slug":43,"sourceType":44,"stem":45,"steps":46,"tools":59,"translationKey":43,"updated":61,"__hash__":62},"useCases\u002Fuse-cases\u002Flinkedin-post-engagement-analysis\u002Fen.md","Analyze a LinkedIn account's posts to find replicable high-engagement patterns",true,{"type":8,"value":9,"toc":10},"minimark",[],{"title":11,"searchDepth":12,"depth":12,"links":13},"",2,[],"social-research","The user wanted to replicate high-reach posts on LinkedIn. A single-sample prior read (2 likes) had suggested the account was low-engagement, so a full latest-50-post pull was run to get the actual picture before any content decisions.","A Social Signal Retrieval run that pulled the latest 50 posts of a LinkedIn account, profiled their engagement structure, and extracted content patterns that are replicable for higher engagement.","md","Analyze the posting behavior of this LinkedIn account and find a replicable method for posts with high readership\u002Fengagement.",[20,21,22,23],"Impressions (the \"readership\" the user wanted to replicate) were null on all 50 posts, so engagement metrics are a proxy, not reach.","The endpoint only returned the latest 50 posts and pagination yielded the same batch, so earlier posts could not be analyzed.","4 posts had missing like_count and were treated as missing, not zero.","This is a single-account snapshot; patterns are not a platform-wide benchmark.","en",{},"\u002Fuse-cases\u002Flinkedin-post-engagement-analysis\u002Fen","2026-08-12",[29],"LinkedIn","@skill:Social Signal Retrieval Analyze the posting activity of this account: https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fxx. The goal is to find a replicable method for producing posts with high readership",[32,33,34,35,36],"Top post: Appark global App revenue Top 30 (ChatGPT $314M leading) - 46 likes \u002F 6 comments \u002F 2 reposts on 2026-06-11.","App-ranking posts (7) averaged 15.3 likes and carried 36% of total likes, while hashtag-only posts (14) averaged 2.1 likes - a significant content-type gap.","Engagement doubled to ~4x from 2026-06 onward, aligning with the shift to data-backed rankings and growth case studies.","High-engagement posts were consistently image + data-anchored (rankings, growth rates, rank jumps); low-engagement posts were mostly image-less hashtag-only posts.","Corrected the earlier single-sample conclusion: absolute engagement is still low (avg 6.4 likes), but the account has a clear relative high-engagement content line.",[38],{"src":39,"alt":40,"caption":41,"capturedAt":27},"\u002Fevidence\u002Flinkedin-post-engagement-analysis\u002Fposts-overview.png","Overview of 50 posts from a LinkedIn account: total likes, comments, reposts, top posts, content-type breakdown and time trend","The engagement overview of the 50 fetched posts, including the Top 5 posts and the content-type breakdown.",{"title":5,"description":16},"linkedin-post-engagement-analysis","authorized-user","use-cases\u002Flinkedin-post-engagement-analysis\u002Fen",[47,50,53,56],{"title":48,"body":49},"Pull the latest posts and pin down data boundaries","Fetched the latest 50 posts via get_linkedin_user_posts. Impressions were null on all 50 posts, so engagement (likes, comments, reposts) was used as the available interaction metric; pagination returned the same batch, so older posts were not available.",{"title":51,"body":52},"Profile the account and the engagement overview","Confirmed the account profile (a market researcher with several hundred followers and 500+ connections; name and company redacted) and computed totals: 295 likes (median 4, max 46), 22 comments on 7 posts, 15 reposts on 7 posts; 34\u002F50 posts with images, 34\u002F50 long-form posts.",{"title":54,"body":55},"Rank top posts and break down by content type","Ranked the 50 posts by likes+comments+reposts and grouped them into four content types: App rankings (7 posts, avg 15.3 likes, 36% of likes), growth case studies (10, avg 6.6), DTC\u002Fbrand marketing (13, avg 4.0), and hashtag-only posts (14, avg 2.1).",{"title":57,"body":58},"Analyze the time trend and content shape","Found a clear strategy turning point: monthly engagement jumped ~4x in June (98 likes) and July (96 likes) 2026, coinciding with the shift from hashtag-only\u002Fgeneric marketing posts to data-driven rankings and growth case studies.",[60],"$research-social-signals","2026-08-15","BGz_mcqJxx5j7PeG-PexX94roizDvYSCYlP4cynVe98",1786965745864]