fix(linkedin-studio): reconcile algorithm-signals to one sourced statement
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
parent
2f2df94acb
commit
970f45bd68
1 changed files with 180 additions and 206 deletions
|
|
@ -1,216 +1,190 @@
|
|||
# LinkedIn Algorithm Signals Reference (April 2026)
|
||||
# LinkedIn Algorithm Signals Reference (2026)
|
||||
|
||||
Quick reference for ranking signals, weights, and penalties. For detailed context, see SKILL.md.
|
||||
**Single source of truth** for what the 2026 LinkedIn feed-ranking system rewards.
|
||||
Every other file in this plugin cites this one — do not restate magnitudes elsewhere,
|
||||
link here instead.
|
||||
|
||||
## Positive Signals (Ranked by Weight)
|
||||
## How to read this file
|
||||
|
||||
### Tier 1: Highest Impact
|
||||
The 2026 feed is ranked by an **LLM-based relevance system** (live in 2026; LinkedIn has
|
||||
**no publicly verifiable production name or go-live date** — see the model note below).
|
||||
Almost every "coefficient" circulating in the creator community is **third-party,
|
||||
observational, and moves year-to-year.** So this reference encodes **ordering + the two
|
||||
officially-named signals + directional magnitudes with a source and a confidence per
|
||||
claim** — never hard coefficients to optimize against.
|
||||
|
||||
| Signal | Weight | Notes |
|
||||
|--------|--------|-------|
|
||||
| Saves | 10x | Top signal - content worth returning to. Users who save = 130% higher chance of following. Only ~3% of posts reach save-worthy status. |
|
||||
| Shares to feed | 8x | Public endorsement, strong distribution signal |
|
||||
| Expert comments | 7-9x | Comments from verified domain experts trigger broader reach |
|
||||
| Shares via DM | 6x | Private sharing still heavily valued |
|
||||
| Comments 15+ words | 2.5x | Quality engagement, 2x impact vs shorter comments |
|
||||
| Skill endorsements | +43% | Relevant skill endorsements boost content distribution |
|
||||
- **Confidence: high** = officially confirmed by LinkedIn, or convergent across multiple
|
||||
large-N studies.
|
||||
- **Confidence: medium** = single credible large-N source, or convergent direction with a
|
||||
contested magnitude.
|
||||
- **Confidence: low / directional** = practitioner heuristic, no primary source. Treat as
|
||||
a hypothesis to test on your own account, not a fact.
|
||||
|
||||
### Tier 2: High Impact
|
||||
**Rule of thumb: trust the *ordering*, test the *number*.**
|
||||
|
||||
| Signal | Weight | Notes |
|
||||
|--------|--------|-------|
|
||||
| Profile-content match | +35-40% | 360Brew validation - profile must prove expertise on post topic |
|
||||
| Dwell time >30s | +25% | Reading/watching content signals quality |
|
||||
| Comments (any) | 1x | Base engagement unit - 15x more reach than likes, 5x more than reshares |
|
||||
| First-hour velocity | +20-30% | 15+ engagements in first hour unlocks broader distribution |
|
||||
## Officially-named ranking signals (the only two LinkedIn confirms by name)
|
||||
|
||||
### Tier 3: Moderate Impact
|
||||
| Signal | Direction | Source | Confidence |
|
||||
|--------|-----------|--------|------------|
|
||||
| Dwell time | Time spent on a post is a ranking input (active vs passive tasks; long-dwell modeled). No public weight. | LinkedIn Eng — "Leveraging Dwell Time" (2024) | high |
|
||||
| Topic / interest relevance | Content matched to a viewer's interests is distributed — *including beyond your network* for strong content. | Tim Jurka, Head of Feed AI (2025-08-11) | high |
|
||||
|
||||
| Signal | Weight | Notes |
|
||||
|--------|--------|-------|
|
||||
| Delayed engagement (24-72h) | 4-6x boost | Algorithm resurfaces quality content days after publication |
|
||||
| Profile views from post | +10-15% | Interest signal, potential follower conversion |
|
||||
| Click "see more" | +5-10% | Hook worked, engagement signal |
|
||||
| Reactions (all types) | 0.2x | 5x less valuable than comments |
|
||||
| Connection relevance | Variable | New connections get priority visibility for ~1 week |
|
||||
Everything below this line is direction + sourced estimate, not officially-weighted.
|
||||
|
||||
## Negative Signals (Penalties)
|
||||
## Engagement order (not coefficients)
|
||||
|
||||
| Signal | Penalty | Notes |
|
||||
|--------|---------|-------|
|
||||
| 5+ hashtags | -68% | Spam signal, triggers AI classifier |
|
||||
| AI-generated comments | -30% reach, -55% engagement | Detected and penalized — use human comments only |
|
||||
| Engagement pods | Shadow-ban | LinkedIn VP: goal to make pods "entirely ineffective". Comment velocity + account relationship analysis active |
|
||||
| Third-party script comments | Removed | Comments via automation tools removed from "Most Relevant" feed |
|
||||
| Off-topic for profile | -40-60% | 360Brew failure - profile doesn't validate expertise |
|
||||
| External link in body | -25-40% | Platform retention focus - use first comment instead |
|
||||
| Engagement bait phrases | -30-50% | "Comment YES if...", "Tag someone who...", "Type 1 for..." |
|
||||
| Multiple posts <3 hours | -25% | Spam-like behavior |
|
||||
| Posting gap >5 days | -15-25% | Consistency break, algorithm loses trust |
|
||||
| Posts under 1,000 chars | -25% | Too short for meaningful dwell time |
|
||||
| Posts over 2,500 chars | -32% | Diminishing returns, reader fatigue |
|
||||
| Promotional carousels | -60-70% | Algorithm penalizes selling vs. educating |
|
||||
| Link preview cards | -30-40% | Always remove preview if including links |
|
||||
| Generic connection requests | Variable | Low acceptance rate hurts profile score |
|
||||
The defensible spine is the **order**, not the multiplier:
|
||||
|
||||
## Engagement Velocity Targets
|
||||
> **saves > shares > quality comments > reactions/likes**
|
||||
|
||||
| Time | Target | Warning Zone | Action if Warning |
|
||||
|------|--------|--------------|-------------------|
|
||||
| 5 min | 2-3 | 0 | Check if posted at wrong time |
|
||||
| 15 min | 5-8 | <3 | Engage in comments to spark activity |
|
||||
| 30 min | 10-15 | <5 | Consider if hook is working |
|
||||
| 60 min | 15-25 | <10 | Post may not reach Stage 3 distribution |
|
||||
| 90 min | 25-40 | <15 | Limited viral potential |
|
||||
| Signal | Direction / estimate | Source | Confidence |
|
||||
|--------|----------------------|--------|------------|
|
||||
| Saves | Top engagement signal; also a follow-graph signal (saving a post raises the author's next-post feed odds). ≈ 5x a like / ≈ 2x a comment in single-vendor data. | AuthoredUp, Vertebrae, van der Blom (1.8M) | medium |
|
||||
| Shares (feed + DM) | Strong distribution signal; public endorsement. | van der Blom (1.8M) | medium |
|
||||
| Quality comments (15+ words) | Substantive comments outweigh short ones; **comment ≈ 2x a like** (quality-scored, single vendor). The popular "comment = many-x a like" claim is **unverified folklore** — dropped. | AuthoredUp (NLP-quality-scored) | medium |
|
||||
| Reactions / likes | Baseline engagement unit (≈ 1x). | van der Blom (1.8M) | medium |
|
||||
|
||||
**Critical threshold:** 15+ engagements in first hour = unlocks 2nd/3rd degree distribution.
|
||||
> **Note on the old "comment = 15x" / "= 5x" framing:** there is no primary source for it.
|
||||
> The "5x" was the **saves** figure mis-assigned to comments. Encode the order above; do
|
||||
> not quote a comment multiplier.
|
||||
|
||||
## Content Format Multipliers (2026)
|
||||
## Content format
|
||||
|
||||
| Format | Reach Multiplier | Engagement Rate | Best For |
|
||||
|--------|------------------|-----------------|----------|
|
||||
| PDF/Carousel | 3.4x reach | 1.92% engagement | Frameworks, guides, step-by-step. 7 slides optimal (5-10 range), 25-50 words/slide. 35% click-through minimum or penalty |
|
||||
| Multi-image | 1.3x reach | 6.60% engagement | Before/after, comparisons, processes. Best for 5K-10K follower accounts |
|
||||
| Polls | 1.64x reach (declining) | 1.5-2% | Audience research only. Declining effectiveness in 2026 |
|
||||
| Video (60s) | 1.4x reach | Variable | Personal connection. Vertical 9:16 gets distribution boost. 30% completion rate minimum or zero reach. Always add captions (85% watch muted) |
|
||||
| Text-only | 1.17x reach | 3-5% | Thought leadership, stories, opinions. Generates best comment quality |
|
||||
| Link posts | -25-40% | <1% | Avoid if possible. Use first comment for links |
|
||||
| Format | Direction / estimate | Source | Confidence |
|
||||
|--------|----------------------|--------|------------|
|
||||
| Documents / carousels | **Top organic format (~7%, Socialinsider, company-page per-impression).** "Carousel" = PDF document post (LinkedIn removed native carousels Dec 2023). The 7% / 21.8% / 49.5% spread across studies is a **denominator artifact**, not disagreement about the winner. | Socialinsider (1.3M), Buffer (2M), Metricool (673K) | high (rank) / medium (number) |
|
||||
| Native video | #2 format and **declining**; add captions (most watch muted). No hard aspect-ratio gate — 4:5 / 1:1 preferred, captions are the enforceable spec. | Socialinsider; van der Blom | medium |
|
||||
| Text-only | Most resilient format; generates the best comment quality. | Buffer, van der Blom | medium |
|
||||
| Multi-image | Strong, slightly below documents. | Socialinsider | medium |
|
||||
| Polls | Declining effectiveness; audience research only. | van der Blom | low / directional |
|
||||
| Link posts (link in body) | Underperform — see external links below. | Ordinal (900K) | medium |
|
||||
|
||||
## Optimal Ranges
|
||||
> The personal-profile **per-post baseline** (~2.0–2.6%) is a *different denominator* from
|
||||
> a format benchmark — never present an account baseline as a carousel rate.
|
||||
|
||||
| Element | Optimal | Warning |
|
||||
|---------|---------|---------|
|
||||
| Post length | 1,200-1,800 chars | <1,000 (-25%) or >2,500 (-32%) |
|
||||
| Hook length | <140 chars | >140 truncated on mobile "see more" |
|
||||
| Hashtags | 3-4 | 5+ triggers -68% penalty |
|
||||
| Video length | 60 seconds | <30s low dwell, >90s retention drops. 30% completion gate |
|
||||
| Posting frequency | 3-5x/week | <2x loses consistency, >2x/day can fatigue |
|
||||
| Carousel slides | 7 slides | <5 too short, >10 diminishing returns, >15 completion drops 40% |
|
||||
| Caption (carousel) | <500 chars | Focus attention on slides |
|
||||
| About section | 2,600 chars | Use all available space, front-load keywords |
|
||||
| Headline | 220 chars | Include target audience + outcome |
|
||||
## External links (in post body)
|
||||
|
||||
## 2026 Reach Context
|
||||
| Claim | Statement | Source | Confidence |
|
||||
|-------|-----------|--------|------------|
|
||||
| Reach effect | **Correlational reach reduction (~38% in 2026; contested band ~19–60% across studies).** It is a moving number, not a flat tax. | Ordinal (900K, p<0.001); van der Blom; DigitalApplied | medium |
|
||||
| Intent | **LinkedIn denies an *intentional* penalty** (Sr. Director Product, Aug 2025): no penalty "if the post leads with value" — the effect is engagement-driven. | Matt Navarra (relaying LinkedIn) | medium |
|
||||
| First comment | **Neither a magic fix nor a confirmed penalty** — contested. Lead with standalone value; native formats are the durable answer. | Ordinal; practitioner blogs (no large-N) | low |
|
||||
|
||||
Overall organic reach declined significantly in 2026. This affects everyone — focus on relative performance (your posts vs your baseline), not absolute numbers.
|
||||
> **Design rule:** value-first matters more than link location. Soften any enforcing hook
|
||||
> from a hard "−X% penalty" mechanic to "body links correlate with lower reach — prefer a
|
||||
> first comment, but lead with value either way."
|
||||
|
||||
| Metric | Change | Notes |
|
||||
|--------|--------|-------|
|
||||
| Total reach | -47% YoY | Platform-wide decline |
|
||||
| Video content | -72% YoY | Poor video penalized harder, good video still rewarded |
|
||||
| Text posts | -34% YoY | Most resilient format |
|
||||
| Company pages | ~1.6% of followers | Personal profiles outperform company pages 8x |
|
||||
| Posting cadence | 2-5x/week | Sweet spot unchanged despite reach decline |
|
||||
## Early-engagement window + evergreen resurfacing
|
||||
|
||||
**Implication:** The algorithm rewards precision over broadcast. Smaller, engaged audiences outperform large but passive ones. 1:1 connections are now more valuable than follower count.
|
||||
| Claim | Statement | Source | Confidence |
|
||||
|-------|-----------|--------|------------|
|
||||
| Golden window | **60–90 min** (90 is the 2026 consensus); the **first 15–30 min** is the highest-leverage sub-window (~70% of reach decided there). | Buffer; Expandi; van der Blom | high |
|
||||
| First-hour velocity | Strong early engagement unlocks broader distribution. Directional, not a fixed threshold. | van der Blom | medium |
|
||||
| Evergreen resurfacing | The relevance model **can resurface strong-save / high-dwell posts days-to-weeks later** on viewer intent (posts now live 2–3 weeks vs days). **No** confirmed fixed "24–72h reinjection" rule — it is intent-driven and irregular. | AuthoredUp | medium (direction) / low (timing) |
|
||||
|
||||
## Posting Time Windows (CET/European Audience)
|
||||
## Profile / topic alignment
|
||||
|
||||
| Day | Peak Time | Notes |
|
||||
|-----|-----------|-------|
|
||||
| Tuesday | 8-9 AM, 10-11 AM | Best overall day |
|
||||
| Wednesday | 8 AM, 12 PM | Second best |
|
||||
| Thursday | 9 AM-1 PM | Extended peak window, highest engagement day |
|
||||
| Friday | Before 3 PM | Drops sharply after 3 PM |
|
||||
| Monday | 7-9 AM | Good for weekly kickoff content |
|
||||
| Weekend | Avoid | -50%+ engagement vs weekdays |
|
||||
| Claim | Statement | Source | Confidence |
|
||||
|-------|-----------|--------|------------|
|
||||
| Topic alignment is a ranking input | Real and officially confirmed (qualitatively): topic/interest relevance drives distribution, including beyond your network. | Tim Jurka (2025-08-11) | high |
|
||||
| Off-topic reach reduction magnitude | **No primary source** states a discrete off-topic reach-reduction figure. Treat profile/topic alignment as a real input; **do not quote a percentage.** | — | n/a (figure removed) |
|
||||
|
||||
**For global audiences:** Post 8-11 AM your local time to catch multiple zones.
|
||||
## AI-content down-rank (officially confirmed — justifies the de-AI gate)
|
||||
|
||||
**Industry variations:**
|
||||
- B2B Professional Services: 7-9 AM, 12-1 PM, 5-6 PM
|
||||
- Healthcare/Education: 10 AM-2 PM concentrated
|
||||
- Financial Services: Wed-Thu 10 AM-12 PM
|
||||
| Claim | Statement | Source | Confidence |
|
||||
|-------|-----------|--------|------------|
|
||||
| AI-slop suppression | LinkedIn confirmed an **active program** suppressing (1) generic AI-written posts/comments, (2) automation tools, (3) attention-bait video. ML models distinguish "original thinking" from "posts lacking substance"; flagged posts are **reach-suppressed (reportedly to first-degree), not deleted.** | VP & Exec Editor Laura Lorenzetti (2026-05-19) | high |
|
||||
| Correlational engagement gap | Likely-AI posts saw ~45% less engagement (correlational). | Originality.ai (8,795 posts) | medium |
|
||||
| Engagement-pod crackdown | Auto-comments demoted out of "Most Relevant", scoped to own network; repeat offenders restricted. | VP Product Gyanda Sachdeva (2026-02-16) | high |
|
||||
|
||||
## Four-Stage Distribution Model
|
||||
> **Enforce what LinkedIn *named*** — personal substance, original thinking, concrete
|
||||
> specifics, genuine voice — not an unverified SEO "tell-list."
|
||||
|
||||
| Stage | Timing | What Happens | Your Action |
|
||||
|-------|--------|--------------|-------------|
|
||||
| 1. Quality Classifier | 0-30s | AI spam/quality check + 360Brew profile validation | Ensure profile matches post topic |
|
||||
| 2. Initial Test | 0-90min | 6-10% of connections see post | Stay active, respond to all comments |
|
||||
| 3. Extended Distribution | 1-24h | 2nd/3rd degree if velocity good | Continue engagement, add value in comments |
|
||||
| 4. Long-tail | 24-72h+ | Evergreen circulation. Delayed engagement now yields 4-6x better performance. Algorithm resurfaces high-quality older content | Let compound effects work — high-dwell posts stay active up to 7 days |
|
||||
## Buzzwords
|
||||
|
||||
**Stage 2 threshold:** 15+ engagements in first hour = unlock Stage 3.
|
||||
Buzzword avoidance is **editorial guidance for clarity, not a measured reach mechanic.**
|
||||
No primary source ties specific words to a reach penalty. Keep the buzzword list (it
|
||||
improves writing); do not justify it as "reduces reach."
|
||||
|
||||
## Depth Score (2026)
|
||||
| Claim | Source | Confidence |
|
||||
|-------|--------|------------|
|
||||
| Specific phrasing reads better than corporate generic | Inc. (editorial) | low / directional |
|
||||
| A semantic ranker *may* indirectly favor specific over generic phrasing | inferred | low (not confirmed) |
|
||||
|
||||
LinkedIn's primary content ranking metric. Measures actual engagement duration, not surface interactions. The feed now uses LLM-generated embeddings and transformer-based Generative Recommender models for semantic relevance scoring.
|
||||
## The deployed ranking model — what we can and cannot say
|
||||
|
||||
| Factor | Impact | Notes |
|
||||
|--------|--------|-------|
|
||||
| Time spent reading/watching | Primary signal | Replaced likes as #1 ranking factor |
|
||||
| Slide completion (carousel) | High | Each slide click = engagement signal. 7 slides optimal for completion |
|
||||
| Video watch percentage | High | 30% minimum completion or zero distribution |
|
||||
| Scroll-back behavior | Medium | Re-reading = strong quality signal |
|
||||
| Save after reading | Highest | Save + high dwell = maximum distribution boost |
|
||||
> **An LLM-based relevance-ranking system is live on LinkedIn in 2026.**
|
||||
> **No public name. No deployment date.**
|
||||
|
||||
**Distribution impact:**
|
||||
- High-dwell posts: active in feeds up to **7 days**
|
||||
- Low-dwell posts: dead after **24 hours**
|
||||
- First-hour dwell time determines post lifecycle
|
||||
- Minimalist carousel design: +12% completion rate vs complex backgrounds
|
||||
| Claim | Statement | Source | Confidence |
|
||||
|-------|-----------|--------|------------|
|
||||
| A live LLM relevance system exists | Confirmed in direction by LinkedIn's 2026 communications. | LinkedIn comms (2026) | high |
|
||||
| Production name | **Not publishable as fact.** The most-cited arXiv paper (2501.16450) is a Jan-**2025** *pre-production research* model (V1.0, 150B params, offline parity only), **withdrawn 2025-08-23**. A circulating "Generative Recommender / Hristo Danchev" engineering-post citation was independently flagged as **likely fabricated** — do not propagate. | arXiv 2501.16450; Gemini provenance flag | high (on the negative claim) |
|
||||
| Deployment date | No primary source. The "early-2026" date is third-party extrapolation from the paper's Jan-**2025** date. **Do not assert a date.** | — | n/a |
|
||||
|
||||
## 360Brew Profile Validation (January 2026)
|
||||
## Operational heuristics (directional — test per account)
|
||||
|
||||
**The algorithm validates your profile BEFORE distributing content.**
|
||||
These are creator-community heuristics with no primary-source weights. Use as starting
|
||||
hypotheses, not targets. Confidence: **low / directional** for every row.
|
||||
|
||||
| Validation Criteria | What It Checks | Fix If Failing |
|
||||
|---------------------|----------------|----------------|
|
||||
| About Section | Specific expertise claims, domain terminology | Rewrite with concrete expertise statements |
|
||||
| Experience Section | Impact statements with metrics | Add quantified achievements |
|
||||
| Content History | Previous posts on this topic, anecdotal evidence | Requires 90 days of aligned posting for full expertise categorization. Topic mismatch limits reach directly |
|
||||
| Network Quality | Connected to professionals in your field | Connect with relevant domain experts |
|
||||
| Engagement Patterns | Do you comment on posts in your expertise area? | Daily: 3-5 thoughtful comments in your domain |
|
||||
### Engagement velocity (first 90 min)
|
||||
|
||||
**Profile-content mismatch = -40-60% reach before anyone sees your post.**
|
||||
| Time | Rough target | If well below |
|
||||
|------|--------------|---------------|
|
||||
| 15 min | a few | check timing / hook |
|
||||
| 30 min | building | engage in comments |
|
||||
| 60–90 min | momentum | golden window closing |
|
||||
|
||||
## Quick Decision Rules
|
||||
### Posting time windows (CET / European audience)
|
||||
|
||||
| Day | Commonly-cited peak |
|
||||
|-----|---------------------|
|
||||
| Tue | 8–11 AM (often best overall) |
|
||||
| Wed | 8 AM, 12 PM |
|
||||
| Thu | 9 AM–1 PM (extended) |
|
||||
| Fri | before 3 PM |
|
||||
| Mon | 7–9 AM |
|
||||
| Weekend | weaker |
|
||||
|
||||
*For global audiences: post 8–11 AM local to catch multiple zones.*
|
||||
|
||||
### Quick decision rules
|
||||
|
||||
| Situation | Decision |
|
||||
|-----------|----------|
|
||||
| Linking? | First comment, not body |
|
||||
| Linking? | First comment, lead with value either way |
|
||||
| Multiple ideas? | Split into separate posts |
|
||||
| Off your usual topic? | Update profile first, or skip the post |
|
||||
| Haven't posted in 5+ days? | Post simple text-only first to rebuild momentum |
|
||||
| Using a poll? | Add substantial caption (300+ chars) |
|
||||
| Tagging people? | Max 5, must be genuinely relevant |
|
||||
| Including hashtags? | 3-4 max, specific > generic |
|
||||
| Video or text? | Text for thought leadership, video for personal connection |
|
||||
| Carousel or text? | Carousel for frameworks/guides, text for stories/opinions |
|
||||
| Comment or like first? | Always comment first (higher algorithmic value) |
|
||||
| New connection posted? | Comment within first week (algorithm priority window) |
|
||||
| Off your usual topic? | Topic alignment is a real input — stay on-domain or accept lower reach |
|
||||
| Video or text? | Text for thought leadership, video (captioned, 4:5/1:1) for connection |
|
||||
| Carousel or text? | Documents for frameworks/guides, text for stories/opinions |
|
||||
| Comment or like first? | Comment (higher in the engagement order) |
|
||||
|
||||
## Comment Strategy Quick Reference
|
||||
### Comment strategy (CEA)
|
||||
|
||||
| Target | Why | How Often |
|
||||
|--------|-----|-----------|
|
||||
| Your posts (self-comment) | Spark discussion, add resources | Wait 10 min, then 2-4 over 90 min |
|
||||
| Whale posts (100K+ followers) | Visibility exposure | 2-3 early comments daily |
|
||||
| New connections | Algorithm priority window | Within first week of connecting |
|
||||
| Inner circle (5-10 peers) | Mutual support network | Daily genuine engagement |
|
||||
| Ideal customers | Warm outreach pipeline | Find in relevant comment sections |
|
||||
1. **Compliment** — a specific point you appreciated
|
||||
2. **Expand** — your insight or related experience
|
||||
3. **Ask** — a question to continue dialogue
|
||||
|
||||
**Comment formula (CEA):**
|
||||
1. **Compliment** - Specific point you appreciated
|
||||
2. **Expand** - Your insight or related experience
|
||||
3. **Ask** - Question to continue dialogue
|
||||
Minimum quality: 15+ words, genuine perspective. AI-generated / "Great post!" comments are
|
||||
actively suppressed (see AI-slop down-rank).
|
||||
|
||||
**Minimum quality:** 15+ words, adds genuine perspective.
|
||||
## 2026 reach context
|
||||
|
||||
## Red Flags to Avoid
|
||||
|
||||
- Engagement pods (LinkedIn VP: goal to make pods "entirely ineffective" — comment velocity analysis and account relationship patterns actively detect manufactured engagement)
|
||||
- Pitch-slapping in DMs
|
||||
- Posting same content as company page
|
||||
- Random topics outside demonstrated expertise
|
||||
- "Great post!" style generic comments (harm reach even without pod involvement)
|
||||
- Excessive self-promotion (>20% of content)
|
||||
- Tagging unrelated people for reach
|
||||
- Using AI-generated comments (55% engagement penalty)
|
||||
Organic reach declined platform-wide in 2026 — focus on **relative performance** (your
|
||||
posts vs your own baseline), not absolute numbers. Smaller engaged audiences outperform
|
||||
large passive ones. (Direction: high confidence; exact YoY %: directional, varies by
|
||||
source.)
|
||||
|
||||
---
|
||||
|
||||
*Last updated: April 2026*
|
||||
*Last updated: 2026-05. Maintained as the single canonical algorithm statement; cite, do
|
||||
not restate.*
|
||||
|
||||
*Sources: Research synthesis from Richard van der Blom (Algorithm Research 2025), Lara Acosta (SLAY Framework), 360Brew algorithm analysis, LinkedIn Engineering Blog, Buffer (2M+ post analysis), Sprout Social (2.5B engagements), Justin Welsh, Jasmin Alic, Sahil Bloom case studies. April 2026 update: ALM Corp (LLM architecture analysis), Botdog (360Brew deep dive), DesignACE (engagement signal weights), ContentIn (format strategy guide), UseVisuals (carousel statistics 2026), Visla (video format 2026)*
|
||||
*Sources (per-claim quality/confidence noted inline): arXiv 2501.16450 (pre-production
|
||||
research paper, withdrawn 2025-08-23); LinkedIn Engineering — "Leveraging Dwell Time" (2024); Tim Jurka, Head of Feed
|
||||
AI (2025-08-11); Laura Lorenzetti, VP & Exec Editor (2026-05-19); Gyanda Sachdeva, VP
|
||||
Product (2026-02-16); Matt Navarra relaying LinkedIn Sr. Director Product (Aug 2025);
|
||||
Ordinal link-penalty study (900K, p<0.001); Socialinsider (1.3M); Buffer (2M+); Metricool
|
||||
(673K); AuthoredUp (621K, NLP-quality-scored); van der Blom Algorithm Insights 2025 (1.8M);
|
||||
Originality.ai (8,795 posts); Inc. (buzzword editorial). Full provenance: research brief
|
||||
`docs/remediation/research/01-linkedin-algorithm-signals.md`.*
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue