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Blog/A 30-day LinkedIn content plan (method + template)
Guide · LinkPost

A 30-day LinkedIn content plan (method + template)

Build a 30-day LinkedIn editorial calendar using data from 516,000 posts: the right format mix, topic pillars, and a weekly rhythm you'll actually keep.

By Yannis Haismann, Co-founder of LinkPost· Published August 29, 2026
Contents
  • In short
  • Why 30 days, not "as you go"?
  • What format mix should you use over 30 days?
  • What topics should fill your 30 days?
  • How to plan your rhythm across 4 weeks
  • What a plan won't do for you
  • What to do right now

Posting on LinkedIn without a plan guarantees blank-page panic every week and erratic growth. A 30-day editorial calendar solves both at once.

In short

→ A 30-day content plan means a fixed cadence, a format mix backed by data, and topics chosen for their engagement potential. → Carousels generate 2.3× more median impressions than text-only posts — they deserve at least 4 slots in your month. → Long-form posts (1,500+ characters) show +49% engagement: reserve at least 30% of your slots for them. → Weekends are underused: 3× less competition, slightly higher median likes (20 vs. 17 on weekdays). → Consistency beats frequency. Three posts per week held for four weeks outperforms seven posts in January and zero in February.

Why 30 days, not "as you go"?

A month is short enough to commit to, long enough to see real patterns. More importantly, planning ahead eliminates decision fatigue.

Without a plan, you spend as much time figuring out what to post as you do actually writing. With a calendar, you shift into execution mode. The creative decision is already made — you just refine and publish.

Block 2–3 hours on a Sunday to prep the full month. Then adjust based on actual performance after two weeks.

What format mix should you use over 30 days?

The analysis of 516,000 LinkedIn posts is clear: not all formats perform equally.

| Format | Median likes | Recommended usage over 30 days | |---|---|---| | Video | 26 | 1–2 max (time-intensive to produce) | | Carousel | 24 | 4–6 (reach 2.3× vs. text-only) | | Image | 20 | 3–4 (versatile, fast to create) | | Text-only | 11 | Storytelling, opinions, short hooks |

On 12 posts in a month (3/week cadence), a balanced mix looks like:

→ 4–5 long-form texts (1,500+ characters, +49% engagement) → 4–5 carousels (amplified reach — 2.3× median impressions) → 2–3 images → 1 video if you can produce it

The key: don't publish the same format twice in a row. Variety keeps your audience interested and sends stronger signals to the algorithm.

For a deeper breakdown by format: text, image, video, and carousel on LinkedIn.

What topics should fill your 30 days?

Formats are the packaging. Topics decide whether the right people read you — and whether they come back.

Our study on 516,000 posts identifies the topics with the highest engagement medians:

→ AI agents: median 82 likes → AI tools: median 80 → Personal branding: median 64 → Technology: median 53 → Community: median 52

These numbers reflect a real bias: accounts covering AI typically already have an audience engaged on those themes. Correlation doesn't mean any AI post will automatically take off — it signals the territories the platform is currently amplifying.

The most durable approach: structure your 30 days around 2–3 topic pillars at most. A pillar is a recurring angle you develop across multiple formats — opinion, carousel, story, practical tip. Thematic consistency builds authority over time, and it compounds more reliably than chasing trending subjects.

To start without a blank page: how to find LinkedIn post ideas walks through concrete, repeatable methods.

How to plan your rhythm across 4 weeks

The optimal cadence is the one you actually keep. The playbook data couldn't isolate posting frequency as a virality factor — it's one of the classic placebos. What matters is consistency and quality per post.

The LinkedIn posting frequency guide lands at 3–5 posts per week as the sustainable zone for most active creators.

Sample 4-week planning template (3 posts/week, with optional weekend slot):

| Week | Monday | Wednesday | Friday | Saturday (optional) | |---|---|---|---|---| | W1 | Long-form text | Carousel | Opinion | Short story | | W2 | Image + data | Long-form text | Carousel | Video | | W3 | Carousel | Opinion | Long-form text | Image | | W4 | Long-form text | Carousel | Story | Opinion |

The weekend slot is optional — but testing it once every two weeks costs little and benefits from 3× less feed competition. Calibrate based on your audience's behavior.

What a plan won't do for you

A calendar structures your work. It doesn't write your hook for you.

You can plan 30 perfectly spaced posts with the right format mix and the right topics — and still underperform if the first 200 characters don't grab attention. The structure handles half the work.

The other half: reviewing each post before you publish. The LinkPost content calendar lets you plan, preview, and adjust your posts directly in the tool — no separate spreadsheet or doc required.

What to do right now

  1. Pick your cadence: 3 posts/week if you're starting out, 5 if you're already in a rhythm.
  2. Define 2–3 topic pillars anchored in your expertise.
  3. Build your format mix: at least 30% long-form, 30% carousels.
  4. Fill the month ahead in a tool or spreadsheet.
  5. Adjust after 2 weeks based on actual results.

Start by analyzing your next posts before you publish with the free post analyzer.

Observational study by LinkPost (2020 to April 2026, 62% French-language content). All figures are correlations on a corpus — not causal guarantees. Methodology and limitations in the full playbook.

Read next
How many times should you post per week on LinkedInHow to find LinkedIn post ideas (no more blank page)Text, image, video, carousel: which LinkedIn format performs
Sources
  • LinkPost Algorithm Playbook 2026 (study on 438,413 posts)

About the author

Yannis Haismann

Yannis Haismann

Co-founder of LinkPost

Yannis writes about LinkedIn content creation, virality prediction and the algorithm. He builds LinkPost, calibrated on more than a million analyzed posts.

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