Glossary
Strategy

What is EdgeRank? Definition & How It Works

Quick definition

EdgeRank was Facebook’s original news feed algorithm, ranking posts by affinity, weight, and time-decay. It has since been replaced by a newer system.

Strategy

EdgeRank, explained

Part of the SocialKit social media glossary — browse every term.

What EdgeRank was

EdgeRank is the name given to the early Facebook algorithm that decided the order of posts in a user’s news feed, introduced around 2010. It was commonly described using three factors: affinity (how close the relationship between the viewer and the poster is, based on past interactions), weight (how much a given content type or interaction counts, with comments typically weighted more heavily than likes), and time decay (how recent the post is). A post’s visibility was, in simplified terms, a product of these three signals. EdgeRank became shorthand across the marketing industry for "how the feed works," even long after Facebook moved on.

How it evolved

Facebook publicly retired the standalone EdgeRank model years ago, replacing it with a far more complex machine-learning ranking system that weighs thousands of signals rather than three. The term persists in marketing conversation as a convenient way to describe the underlying idea: that reach on social platforms is earned through relationships, interaction quality, and timeliness rather than guaranteed to every follower. The principles EdgeRank codified — that meaningful engagement beats passive reach, and that recency matters — still echo across how modern feeds on many platforms are understood to behave.

What it means for marketers

Although EdgeRank itself is obsolete, its lessons remain practical. Content that sparks genuine interaction, especially comments and shares, tends to be rewarded with wider distribution; posting when your audience is actually active improves the odds of early engagement that signals quality to the algorithm; and consistent interaction builds the affinity that keeps your posts surfacing. Treat EdgeRank as a historical foundation, not a current rulebook — the specifics have changed, but the direction of travel has not.

Where SocialKit fits

The affinity-and-recency logic EdgeRank pioneered still favours well-timed posts — SocialKit’s best-time-to-post scheduling aims to place your content when your audience is most active across every platform.

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FAQ

EdgeRank: common questions

Quick answers to the questions people ask most about this term.

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