MarTech: LinkedIn's algorithm isn't broken — marketers miss the signal

A MarTech analysis pushes back on a familiar complaint this week: LinkedIn's feed algorithm isn't broken — practitioners keep misreading how it ranks. The headline itself, "LinkedIn's algorithm isn't broken — you don't understand it," takes direct aim at the recurring creator claim that the platform has throttled organic reach.

What is MarTech actually arguing?

The headline frames the argument before the article even lands: the algorithm is doing what it was built to do, and the misunderstanding sits with the marketer. The piece, per its title, rejects the "broken algorithm" framing and instead reframes the problem as a misalignment between what creators expect the system to reward versus what it actually ranks.

That's a meaningful distinction for practitioners. A broken system invites blame and resignation. A misaligned system invites optimization.

Why does the "broken algorithm" story keep winning?

Three forces keep that narrative alive even when outlets like MarTech push back. First, dashboards surface impressions and likes, not the underlying ranking signals. Creators experience reach in numbers they can see, and a quiet post feels broken even when the ranking system never flagged it as low quality. Second, marketing playbooks trained on Facebook put more weight on creative than conversation. LinkedIn's weighting runs against that muscle memory.

Third, complaints travel further than explanations. A "reach is dead" post generates more engagement than a "here's how the ranking signals work" explainer. The loudest voices on any platform tend to be the ones with the simplest grievances.

What should marketers actually do?

The practical pivot is small but real. Stop treating the feed like an impressions auction. Treat it like a conversation engine. Posts that ask a question, surface a specific opinion, or invite a reply generate more ranked value than posts designed for passive scrolling. Track replies per impression, not likes per post.

The shift changes budget conversations too. Organic reach on LinkedIn has long looked weak compared to paid distribution, but the gap is partly an artifact of what marketers measure. A post that drives twelve high-quality replies to a target buyer beats a post that drives three hundred shallow likes. The first post looks broken in a dashboard. The second post gets a meeting.

Where does this leave practitioners?

The MarTech piece lands as a reminder: tools change, but most algorithm complaints come from people optimizing for the wrong signal. Marketers who learn the signal usually stop blaming the system.

Expect more pieces like this as platforms push back against the broken-algorithm narrative. Trade publications amplify those defenses to a professional audience, and the next round of debate will likely shift from "is the algorithm broken" to "is the algorithm fair" — a harder question with fewer clean answers.