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LinkedIn's '360 brew' algorithm now prioritizes consistency across your profile, content, and messaging over simple engagement metrics. It boosts content to users you've recently engaged with, shifting the focus from broad virality to targeted, value-driven interactions, giving sellers more control over who sees their posts.
Don't blame the algorithm for poor engagement. Truly compelling content, like a major company announcement, still breaks through and achieves massive reach. The platform rewards exceptional content, not just consistent posting.
The LinkedIn algorithm interprets direct messaging as a strong signal of connection. By engaging with a prospect in their DMs, you increase the probability that your organic posts will be prioritized and shown in their feed, creating a powerful content and outreach loop.
With the new "positive signal only" model, every like and comment trains LinkedIn's LLM. To maximize reach with your target audience, you must be hyper-intentional, engaging *only* with content from your Ideal Customer Profile (ICP). This "cohort seeding" directly influences who the algorithm shows your posts to.
Previously, posting more than once in an 18-hour window would harm your reach. This is no longer the case. The current algorithm supports "content velocity," allowing creators and pages to post up to three times per day without cannibalizing engagement, rewarding consistent, high-frequency output.
Simply posting content and leaving—or 'posting and ghosting'—is ineffective. LinkedIn's algorithm prioritizes posts that generate conversation. Engaging with comments, especially within the first couple of hours, is critical for signaling value and maximizing your content's reach.
Social media algorithms value time spent more than passive engagement like "likes." To increase your visibility with target prospects, engage in back-and-forth conversations in their direct messages. This signals to the algorithm that your relationship is important, making it more likely your content will appear in their feed.
LinkedIn's recent massive algorithm change shifts the platform towards an AI-driven, interest-based content feed. This means marketers can no longer rely solely on their existing network for reach and should anticipate engagement volatility as content is shown to a broader audience based on topical relevance.
For new creators, follower count is less relevant. The algorithm now benchmarks your content's performance within a "designated cohort" of similar users and topics. This means a creator with 50 followers can achieve the reach of one with 50,000 if they effectively engage their specific niche audience.
LinkedIn's algorithm has shifted. It no longer penalizes content you ignore (a negative signal). Instead, it exclusively uses positive signals—what you actively engage with—to determine your feed, making intentional engagement more critical than ever for shaping your content visibility.
LinkedIn actively suppresses the reach of users who accumulate large, unengaged audiences via mass connection requests. The platform algorithmically favors smaller, highly engaged networks over large, passive ones, making audience quality more important than sheer quantity for content visibility.