Report digest

LinkedIn Algorithm InSights 2026

Distilled from the 7th-edition report by Richard van der Blom / Just Connecting HUB (with AuthoredUp). All numbers are the report's own claims, with page references; the authors have no internal LinkedIn access — it's external statistical inference.

217 pages 1.3M+ posts analyzed 50k+ profiles · 30k+ pages Core window Sept 2025 – Feb 2026

What to act on first

Outreach: comment on a prospect's post before you DM — 3.2× higher reply rate, and the comment-first-then-connect sequence hits 95% acceptance p.107. Templated/automated sequences cost −50% acceptance, −75% conversion; send manually, and keep links and attachments out of a first message (links: −20% acceptance, −55% conversion) p.193.

The most under-used lever in the report: audio DMs to existing connections get a 71% response rate (text: 34%) and only 2% of messages use them p.192.

Posting: 2–4 posts/week, document/carousel posts first (1.39× reach, only 4.9% of posts use them), text posts at 1,400–1,800 characters, zero hashtags, links in the post body if needed (−18.8%) — the link-in-first-comment trick is dead (up to −80%) pp.50–58, 86, 97–98.

AI copy: fully AI-written posts lose 30–40% reach; using AI for research and structure while a human writes the final voice gains +32% reach / +41% comments p.174.

Free pipeline habit: after each post, send 5 personalized connection requests/day to 2nd/3rd-degree engagers, referencing the post — "the warmest outreach opportunity almost nobody captures" p.206.

Headline findings

72% → 31%

Share of feed from 1st-degree connections, 2024 → 2026. The Interest Graph replaced the Relationship Graph. pp.6, 16

−70%

Reach vs the Feb 2024 peak — but stabilized by Mar 2026 (−3% vs Sept '25). pp.9–13

+18–21%

Engagement growth since Sept 2025 — "the comeback nobody expected." p.12

50 / 40 / 10

Initial distribution now: topic-match / followers / direct connections (was 70/25/5 by connections in 2025). p.94

1.39×

Document-post reach — the top format on both reach and engagement, used by only 4.88% of posts. pp.50–53

0.86×

Native video reach — below 1.0× for the first time in 3 years (−22.5% YoY). p.59

1.6%

Share of feed impressions that Company Page organic content gets. Employee posts compete for ~65%. pp.15, 121

8×

Engagement on employee-shared content vs the same content on the company page. p.143

Follower count no longer predicts reach. Median followers +31% while median impressions fell — a ~29-point gap vs neutral scaling. p.13
Founder/employee profiles beat corporate pages by 300%+ engagement and 270%+ conversion. Page engagement rate collapsed 3.74% → 2.73% (−26.9%); profiles now edge pages (2.86% vs 2.73%), reversing pages' 2025 advantage. pp.120–121, 201
Polls are reach without authority: 1.78× reach (highest) but 0.37× engagement (lowest). Top-5% creators use them less than average. pp.61–62
Saves are the heaviest signal: a save is worth 14–16× a like; 10+ saves correlates with +2,086% reach vs zero-save posts. Instant reposts (within 4h) boost the original +40%. pp.74, 77

2026 reversals — advice that flipped

Use 3–5 hashtags Zero hashtags now outperforms by 5–10%. Never exceed 10 (−30–50% visibility). pp.86–87

Put the link in the first comment Comment-links are now suppressed up to −80% and convert 3.4× worse. Body link costs only −18.8%. pp.97–98

Company Pages should post on weekends (+30–50%) Weekdays now beat weekends by 24.4% for Pages. (Top personal creators: the opposite — weekends +21.2%.) pp.91, 134–136

The first 60 minutes decide a post The golden engagement window extended to ~4 hours. p.101

Text is dead Text-only reach recovered above 1.0× (1.07×) for the first time in 3 years; optimal length rose to 1,400–1,800 chars. p.57

"Comment X and I'll DM you Y" Actively punished since Feb 2026: −80% reach, account restrictions within days. p.189

Informal creator sponsorships work fine Unofficial sponsored posts: −70–80% reach since mid-2025 — LinkedIn is forcing paid partnerships through Thought Leader Ads. pp.170–171

Formats — reach & engagement multipliers

Multiplier vs your own account's average. Three-year trend, personal profiles. p.50

Format	Reach '25–26	YoY	Engagement '25–26	Share of posts	Note
Poll	1.78	+2.3%	0.37	1.2%	Reach without authority; 4 options, always 7-day
Document	1.39	−1.4%	1.30	4.9%	Top format, most under-used; 7–11 slides
Image	1.20	+1.7%	1.33	57.2%	Most saturated; 2–4 images beat singles
Text only	1.07	+16.3%	0.78	—	1,400–1,800 chars; steepest repeat penalty (−25%)
Video	0.86	−22.5%	0.93	10.6%	First sub-1.0× year; vertical, 45–75s, captioned
Article	0.69	+13.1%	0.44	6.0%	Only works newsletter-linked (+51.7% eng. YoY)
Reshare	0.29	−6.5%	0.22	7.7%	Worst format; instant-repost boosts the original +40%

Documents: 7–11 slides (top performers avg 9.2); under-35% completion = −80% visibility; CTA slide = 4.2× conversion; max 1–2/week. pp.53–54
Images: 2–4 images is the sweet spot; 5+ = −40%; real contextual photos beat stock/AI. pp.55–56
Video: authenticity beats production 1.8–2.6×; captions lift 1.3×; completion collapses past 90 seconds. pp.59–60
Newsletters: reach ~double a standard post; platform averages 22–24% view rate, 24–26% open; weekly cadence; 65% of subscribers come from feed exposure. pp.63–66
Tagging: max 5 people (spam trigger if most don't respond), max 3 company pages (−15% past that). p.88

Timing & frequency (personal profiles)

2–4 posts/week is the sweet spot (+1,234 impressions/post moving from 1 to 2–4). Daily posting: +18% total reach but −26% per post. p.93
Midday 10:00–14:00 wins (engagement score 0.83–0.88); afternoon −26%, evening −40%. Weekday-vs-weekend is near-irrelevant for average profiles (1.1% gap), but top-5% creators score +21.2% on weekends; Sunday is the single best day. pp.90–92
Never post the same format back-to-back — text takes the steepest repeat penalty (−25% on the second). p.58
Engagement window for replies/momentum: up to 4 hours; reply to early comments fast. p.101

Company Pages vs personal profiles

−26.9%

Page engagement rate YoY (3.74% → 2.73%) despite impressions +33%. pp.120–121

12×

Employee networks vs page follower lists — 3% of employees sharing ≈ 30% of total page engagement. pp.122, 143

0.43×

Article multiplier on pages — worst in the dataset, yet 10.7% of page content. "The biggest misallocation in the data." p.129

Tue 09:00

Top Page slot (0.991), then Fri 10:30. Core window Tue–Fri 09:00–10:30; avoid Fri after 15:00. pp.134–136

Sales/pipeline content is dead on Pages (lowest topic tier: 290 median reach, 0% growth) — "belongs on individual profiles, not the brand page." p.133
Page quirk: precise/complex language outperforms plain language on page image posts (1.39× vs 0.62×) — the opposite of personal profiles. p.128
Internal/employee engagement on page posts counts 2–2.5× less than external engagement; C-level and thought-leader comments carry a bonus. p.124
Metrics worth tracking: engaged-follower ratio (>6%), advocacy reach index (>3× page impressions), comment depth (>0.6 replies per comment). Stop tracking follower count, impressions, likes. pp.137–139
Thought Leader Ads: 3–5× better CPC/CTR than page ads on the same creative; cold CPC $12–18, CPL $200–250; CRM-list retargeting matches ~80% vs ~5% for pixel-based. pp.154–159

Outreach — DMs, InMail, connections, commenting

Note: the report contains nothing on Sales Navigator or SSI — confirmed by full-text search, not an omission of this digest.

Message type	Usage share	Response rate	Conversion
Text → connection	95%	34%	13%
Video → connection	3%	46%	16%
Audio → connection	2%	71%	19%
Text → non-connection	97%	18%	7%
Video → non-connection	2%	39%	12%
Audio → non-connection	1%	13%	4%

Format × audience matrix, p.192. DMs average 10.3% response overall (16.9% to 1st-degree) vs ~3.1% for cold email; well-run InMail hits 18–25%.

Comment on a prospect's posts before outreach → 3.2× higher DM reply rates; up to 30% of prospects initiate contact themselves. Comment-first-then-connect: 95% acceptance. pp.104–107
Automation is the biggest tax: templated/automated sequences −50% acceptance, −75% conversion. Send manually, one low-pressure ask ("open to a quick exchange next week?" = +15% reply-to-meeting). p.193
First message: 300–500 chars or 1,000+ (mid-length underperforms); reference one specific real thing; no links (−20% acceptance, −55% conversion), no attachments (treated as a red flag). p.193
Commenting is borrowed reach: 93% of a comment's impressions come from the author's network. Five substantive comments/day ≈ 18,000 weekly impressions vs ~1,200 from 2 posts/week on a 10k-follower account (~15×). Target 10/day → ~25 profile visits → ~1 real conversation. Comment within 30–120 min of publication. pp.104–106
"Warming up" before posting is a myth for reach — zero correlation — but it does make your post visible to the specific people you commented on (~90%), so it works as targeting. pp.101–102
Post-engager capture: after each post, 5 personalized connection requests/day to 2nd/3rd-degree engagers, referencing the post. p.206
Comment-to-DM bridge: substantive reply → DM within 24h referencing the thread, one question, zero pitch. p.107
Lead Gen Forms convert 10–13% (vs 2–4% landing pages) — but only on audiences that already trust the author. p.193

AI content — detection & penalties

−30–40%

Reach penalty on fully AI-generated posts (engagement −25–35%). p.174

−10–15%

Penalty on AI-drafted but human-edited posts. p.174

+32% / +41%

Reach / comments when AI does prep only and a human writes the final voice. p.174

50–60%

Share of LinkedIn posts already showing detectable AI patterns. p.174

Detection triggers named: semantic duplication across accounts, synthetic tone (generic positivity, no contextual specificity), reused AI visuals, bulk auto-comments. Posts where >25% of early comments look AI-generated lose up to −30% reach. pp.174–175
Original evidence (real numbers, first-hand findings) outperforms generic thought leadership by 45% — "anti-slop" is an active ranking signal now. p.177
AI comments get 8.5× fewer author replies. Never automate comments. p.175
LinkedIn is now heavily cited by AI search (Perplexity, ChatGPT, Claude) — a second distribution channel that rewards semantic clarity and topical depth. p.175

The 20 myths (chapter 6, condensed)

Daily posting is best — false (−45% reach). p.195
Good content reaches your whole network — false (initial reach 2–6%).
More hashtags = more views — false.
The algorithm hates all external links — half true (−18.8%, manageable).
The algorithm is random — false; it rewards consistency.
Careful engagement pods still work — false (97% detection accuracy).
Viral = revenue — false.
Only big creators get reach — false (follower count decoupled from reach).
Text is dead, video wins — false (the 2026 data says the opposite).
Long posts always win — it's complicated (1,400–1,800 chars optimal, but 34% of top posts are now under 600).
Comments are the only engagement that matters — false (saves are worth 14–16× a like).
Company Pages are dead — overstated, but directionally real.
Perfect posting time is the secret — overstated.
First 60 minutes make or break — outdated (window is now ~4 hours).
More carousels = better — false (1–2/week max).
Automation is the only way to scale — false; it's detected and damages the account.
More followers = more authority — dangerously overstated.
Reposts alone are enough — false (0.29× reach).
DMs are pushy — false (10.3% avg response vs 3.1% cold email).
"The algorithm is why I'm not growing" — the most comfortable myth on the list. p.205

Method & caveats

7th edition; dataset of 1.3M+ posts (Sept 2025 – Feb 2026 core window, comparisons back to Feb 2024), 50,000+ profiles, 30,000+ company pages, 60+ countries. Sourced via AuthoredUp and Just Connecting client/community data — no scraping. The authors state explicitly they have no internal access to LinkedIn's algorithm; everything here is external statistical inference, and specific multipliers should be read as directional, not gospel. pp.212–215

Digest generated 2026-08-12 from the full 217-page text. Source: "JC_2026_Algorithm InSights," Just Connecting HUB — not affiliated with LinkedIn. Page numbers refer to the original PDF.