LinkedIn Algorithm Now Prioritizes 'Dwell Time'
LinkedIn's algorithm is increasingly rewarding content that holds users' attention, making 'dwell time' a critical hidden metric for visibility. The platform now heavily weights how long users engage with a post, elevating in-depth content and demoting 'drive-by' interactions. This shift forces creators and brands to focus on sustained engagement over simple likes or shares.
The algorithm's shift reflects a change in user behavior, as approximately 90% of users consume content without liking or commenting. Dwell time allows the platform to measure the value of content for this "silent majority," moving beyond simple, visible engagement metrics. LinkedIn measures two types of user attention: "on-feed dwell time," which begins when at least half of a post is visible during scrolling, and "after-the-click dwell time," which measures time spent on the content after a user clicks to expand it. This dual measurement helps gauge both initial interest and deeper engagement. The impact of holding a user's attention is significant. Posts achieving a dwell time of over 60 seconds see an average engagement rate of 15.6%, compared to just 1.2% for content viewed for three seconds or less. This shift marks a clear prioritization of substance over fleeting impressions. This focus is part of a larger move away from recency and toward relevance and demonstrated expertise. The algorithm now verifies a user's authority by matching the content of their posts against the expertise claimed in their profile headline, about section, and experience. Content formats that naturally hold attention, such as document carousels and native videos, are performing better than simple text or external link posts. The average dwell time for a newsfeed ad is just 2.68 seconds, highlighting the challenge of capturing and retaining user focus. This evolution is not unique to LinkedIn; other major platforms like Meta and TikTok also use dwell time to personalize user feeds. The platforms interpret lingering on a piece of content, even without a click or a like, as a strong signal of interest.
