What is an outlier post, and what does 'top 1%' mean?

An outlier, in PostSnag, is a post that performs far above that profile's normal numbers, the kind of post that's obvious the moment you see it sitting next to everything else that profile has published. "Top 1%" is PostSnag's shorthand for that same idea; it isn't a literal statistic recalculated for every post.

What makes a post an outlier

It's relative, not absolute. A post with a few hundred reactions can be a clear outlier for a small local Page that usually gets a dozen, while that same number is completely ordinary for a large creator whose average post already clears a thousand. PostSnag doesn't stamp every post with a fixed "outlier" score or badge; there's no number on a post that says it qualifies. It's a way of describing posts that clearly stand out once you're looking at a profile's captured history next to each other.

To spot one yourself: open a profile's page, set Sort to Most reactions, and look at the gap between the top post and the rest. A real outlier is usually obvious within the first few cards: a post pulling multiples of what the profile's other top posts are getting.

Why outliers are worth finding

An outlier is the fastest signal you have for what to study. Instead of scrolling months of a profile's history hoping to notice a pattern, sorting by engagement puts the posts worth reverse-engineering right at the top: the hook, the format, the topic, or the posting time, whatever made that one post pull away from the rest. That's the point of capturing a profile in the first place, finding the posts worth learning from instead of reading everything.

Where "top 1%" comes from

PostSnag's pricing page lists a "Discovery feed (top 1%)" feature. That's shorthand for what Discovery is built to do, surface standout, high-performing posts rather than a full unfiltered stream of everything captured, not a precise percentile recalculated for every individual post. Treat "top 1%" as PostSnag's way of saying the good stuff rises to the top, not a formula stamped on individual posts.

The three places PostSnag actually surfaces standout posts

Each of these uses its own ranking, so the same post can land in a different spot depending on where you're looking:

• Discovery, sorted by Recent or Trending, pulls standout posts from across every profile the whole community tracks. Trending weighs a comment as four reactions and a share as three. See What is the Discovery feed?

• The extension panel's Top Performing Posts, the top 3 posts from the profile you're actively capturing right now, ranked by the same weighted score Discovery's Trending sort uses: a comment counts as four reactions, a share counts as three, so a highly-discussed post can outrank one with more raw reactions but little conversation.

• Analytics' Top performing posts, the top posts across everything you've captured in the whole dashboard, ranked by plain total reactions, with a "See all" link to the full ranked list of up to 60. See How do I read a profile's performance in Analytics?.

The panel and Discovery both weight comments and shares more heavily than likes; Analytics ranks by raw reaction totals. Neither is "more correct" than the other; they're just answering slightly different questions, what's getting talked about versus what's getting the most reactions overall.

Common questions

Is there a number on each post showing whether it's an outlier?
No. PostSnag doesn't label individual posts as outliers. It surfaces standout posts through Discovery, the panel's Top Performing Posts, and Analytics instead.

Is "top 1%" calculated the same way for every profile?
No. It's a general description of standout, high-performing posts relative to a profile's own typical results, not one fixed formula applied identically everywhere.

Why do the panel and Analytics rank top posts differently?
The extension panel's Top Performing Posts weighs comments and shares more heavily than likes. Analytics' Top performing posts section ranks by total reactions. Both surface strong posts; they just sort them differently.

Where's the best place to find a profile's best posts?
Analytics' Top performing posts section if you want a profile's full ranked list, or Discovery if you want standout posts across every profile you track.

Does capturing more of a profile's history change what counts as an outlier?
It can. Outlier status is relative to what you've actually captured for that profile, so scanning further back can surface older posts that reset what "normal" looks like for that profile.