Posting in English or French on LinkedIn? (data)

Across 92,184 English posts analyzed, the median like count is 40 — against 24 for the 294,849 French posts. That's +67%. But the language isn't what's driving the gap. Your network size is.

In short

→ English posts get +67% more median likes than French (40 vs. 24), measured across 516,144 posts. → That gap reflects the size of the English-speaking market, not any algorithmic preference for the language. → A French creator who switches to English without an English audience will not see that +67% — they'll likely see a drop. → The real drivers stay the same regardless of language: hook quality, topic relevance, and post format. → The right question isn't "which language?" — it's "which language does my audience consume LinkedIn content in?"

What the data says: EN median 40 likes, FR median 24

Across the full corpus of 516,144 posts analyzed by LinkPost (9.6 million snapshots, 30,843 profiles, data from 2020 to 2026), we isolated posts by primary language.

| Language | Posts analyzed | Median likes | |----------|---------------|--------------| | English | 92,184 | 40 | | French | 294,849 | 24 | | Gap | | +67% |

The gap is consistent and reproducible. It deserves attention — and the right interpretation.

Methodological note: this is an observational study (correlation, not causation). Language and network size are strongly correlated in our sample. English-speaking creators are overrepresented among large international audiences. Keep this sampling bias in mind.

Why the +67% isn't coming from the language

LinkedIn has no algorithmic preference for English. What it measures is dwell time, early engagement velocity, and interaction quality — all of which are language-agnostic.

What explains the gap: creators who post in English have, on average, a structurally larger network. LinkedIn is a globally dominant English-language platform. An English post can reach a worldwide audience. A French post stays mostly within the FR, BE, CH, and CA French-speaking sphere.

In other words, a creator with 20,000 active French followers who switches to English tomorrow won't see +67% engagement. They'll probably see a drop — because they're suddenly speaking a language their existing network is less comfortable with.

This is the same logic as high-engagement topics: AI posts hit 80+ median likes not because the algorithm favors AI, but because creators covering that topic tend to have larger tech-focused English-speaking networks.

Who actually benefits from posting in English

Posting in English makes sense in specific situations:

→ You're targeting an international niche — SaaS, venture capital, growth, tech — where decision-makers primarily consume English content. → You're building your audience from scratch and targeting the English-speaking market from day one. → Your client profile is multilingual and English is the lingua franca of your sector. → You operate in a B2B context where buyers are international.

This connects to what our analysis on B2B vs. B2C content on LinkedIn shows: English B2B creators benefit from a structurally larger addressable market, which inflates their medians.

Conversely, if your audience is French and you switch to English "because it performs better," you risk losing your existing network without building a new one. The result is the opposite of what you're aiming for.

The right decision framework

Before choosing, answer this question: in which language does the majority of my followers consume LinkedIn content?

Three scenarios:

French-speaking network, FR audience: Stay in French. Your potential +67% only materializes if you build an English-speaking network in parallel. Without it, switching language will hurt your reach.

You're targeting the English market from the start: Begin in English immediately. Don't change language mid-way — it disrupts your audience and confuses the algorithm, which has already learned your followers' preferences.

You want to target both markets: Publish two separate posts — one in French, one in English. Never cram a translation into the same post. This is viable, but requires a double cadence — something to manage with a structured content calendar.

What to do next

→ Check your current follower language mix via LinkedIn Analytics before changing anything. → If you want to move to English, build the network first: comment on English posts, connect with target profiles, then switch gradually. → Whatever language you choose, the levers that matter stay the same: strong hook, sufficient length, the right format, stacked tactics. The full 516,000-post analysis covers all of them. → Before publishing, run your post through the free post analyzer — the virality score is calibrated on 300+ factors, regardless of language.

Language is a distribution parameter. Content is still the variable that decides.