LinkedIn 2026 Algorithm Prioritizes 'Depth Score,' Sendible Analysis Finds

The 2026 LinkedIn feed algorithm ranks posts by a metric called "Depth Score," according to an analysis published this week by Sendible, the social media management company. The signal measures dwell time, comment quality and saves, weighing each more heavily than the volume of quick reactions a post attracts.

Sendible's post carries no direct comment from a LinkedIn product or engineering lead, no published LinkedIn technical document, and no cite of a relevant earnings call remark. The analysis is a vendor's read of platform behavior, not a confirmed platform policy change. That distinction matters because Sendible also sells LinkedIn publishing tools to marketers, giving the company a stake in the very ranking system it describes.

What does Depth Score measure?

Sendible defines Depth Score as a composite built from three engagement signals: how long readers stay on a post, the substance of comments left beneath it, and the number of users who save the post for later reference. Likes and other quick reactions carry less weight under this model. The company frames the change as the largest distribution shift since LinkedIn retired its chronological feed and moved to an algorithmic timeline, an inflection that practitioners will recognize as the moment reaction counts stopped predicting reach.

What does this change for marketers and creators?

The operational question for social media managers centers on which formats still earn distribution. Posts that prompt comment threads longer than a single word or phrase, and that hold readers past the opening two lines, should outperform posts engineered for a quick reaction. A four-second video clip and a one-line hot take lose relative ground under a metric that rewards reading time. Teams planning a quarter of LinkedIn paid or organic budget around reaction volume will need to retest those assumptions against the post-level data LinkedIn already surfaces in creator analytics: average dwell time, save counts and comment depth.

What remains unverified?

No public LinkedIn engineering blog post, newsroom release or earnings transcript in the record confirms the Depth Score label, the three component signals, or their relative weighting. Sendible draws its claim from observed creator data and platform pattern analysis. Marketing teams should watch LinkedIn's own engineering and creator documentation before reallocating spend against a signal that may carry a different name in production.

What should practitioners track over the coming weeks?

Three signals will indicate whether the Sendible read holds. First, watch for any LinkedIn creator or engineering blog post that names the 2026 ranking model in similar terms. Second, observe your own post analytics for any shift in dwell time or save rates relative to reaction counts. Third, compare sponsored and organic performance across depth-optimized and reaction-optimized creative within the same campaign window. The Depth Score label belongs in a planning document only after at least one of these signals appears in official channels.

If Sendible's read holds, the implication for the next two quarters is direct: depth-first content earns distribution, and the era of the reaction-optimized LinkedIn post closes.