LinkedIn Content Intelligence Report - Q1 2026

ViralBrain.ai - LinkedIn Content Intelligence Report (Quarterly)

🔬 LinkedIn Content Intelligence Report

We analyzed 20,796 posts from 800 creators: here's what actually matters (and what doesn't)

Report Generated: March 25, 2026
Data Range: January 15, 2014 → March 25, 2026

BY THE WAY

This report was generated by the team behind ViralBrain. We've baked LinkedIn best practices into ViralBrain so you can create strong content and grow with less guesswork. https://www.viralbrain.ai

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📊 At a Glance

📈 Engagement Distribution

Minimum:     0
25th %ile:   9     ← Bottom quartile
Median:      35     ← Typical post
75th %ile:   153     ← Good performance
90th %ile:   568     ← Great performance
99th %ile:   3,943    ← Viral territory
Maximum:     35,086

What this means for you: Compare your post engagement to these numbers to see where you stand. If your typical post gets around 25 total engagement, you are near the middle of the pack. To reach good performance in this dataset, aim roughly between 35 and 153 total engagement. Great (top quartile) means 153+. The top 10% threshold is 568. Only about 1% of posts reach 3,943+ territory, so do not expect that every week. Viral posts in this sample: 2% of all posts.

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📋 Executive Summary

🎯 Key Discoveries

1. Analyzed 20,796 posts from 800 creators
2. Median post gets 35 engagement, top 10% get 568+
3. <1K creators have 4.44% engagement rate
4. "CURIOSITY GAP" hooks generate 9,471 avg engagement
5. Optimal word count: Very Long (350+) (56 median engagement)

💡 What This Means For You

1. Embrace the lottery: Only 2% of posts are flagged as viral in this dataset (454 of 20,796). More quality posts mean more shots on goal.
2. Dataset scale: 20,796 posts from 800 creators, real-world scraped data.
3. Small-account advantage: Small accounts (<10K) have 817% higher engagement rates than large accounts (50K+). The myth is TRUE.
4. The engagement gap: Median post gets 35 engagement; top 10% clear 568+ (large spread is normal).
5. Length matters: In this sample, Very Long (350+) posts have the highest median engagement (56).
6. Format: IMAGE leads average engagement (486) in this dataset vs other formats in the table below.
7. Hashtags: Posts with 0 hashtags reach 42 median vs 39 for the best hashtag bucket here. Do not over-invest in tags.
8. Timing signal: Sunday is among the stronger days in this dataset (see Timing section).
9. Conversation starters: AI Sales Automation has a high comment-to-like ratio (3.313), good for reach if you want replies.
10. Category signal: Personal Development shows 1,386 average engagement in the niche table (watch median too).
11. Hooks: CURIOSITY GAP leads hook types on average engagement (9,471) in this sample.
12. Iterate: Change one variable per week (hook type, format, or length) and compare medians, not single-post spikes.

👉 Try ViralBrain for free

🧪 Myths Tested

🧪 "Hashtags boost engagement" → BUSTED - Posts without hashtags perform equally well (42 vs 39)

✅ "Small accounts get better engagement" → CONFIRMED - Small accounts (<10K) have 817% higher engagement rates than large accounts (50K+). The myth is TRUE.

💡 Actionable Takeaways

🎯 Do This Right Now

1. Top 10% creators get 70.7x more likes per post
2. Use IMAGE format - it outperforms others
3. Start with curiosity gap hooks
4. Viral pattern: Punchy first-line thesis (scroll-stopper hook)

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Your playbook: three questions

Quick answers after the Executive Summary. Deeper proof is in Engagement Patterns, Content Structure, Timing, and Spicy Insights below.

What should I do differently?

• Stop optimizing hashtag count. Performance with and without hashtags is flat here. Put energy into the first line, format, and story instead.
• If you have a smaller following, lean into engagement rate and conversation, not raw impressions. Reply fast and ask real questions.
• Study what top-decile creators do differently (format, length, replies) in the Creator Tier section instead of copying only their topics.

What should I do?

• Default to IMAGE for your next several posts unless you have a strategic reason not to.
• Lead with curiosity gap hooks. Use the templates in Content Structure so you are not staring at a blank line.
• Aim for Very Long (350+) length. It carries the highest median engagement in this sample.
• Reply to comments in the first 60 to 90 minutes. Conversation quality still signals value to readers.

What is my next step?

Do these in order:

1. Label your last 5 posts against the Engagement Benchmarks band (Poor through Viral). Note which band you are actually in, not where you hope you are.
2. Draft your next post with a curiosity gap first line, then trim the second paragraph until the hook still works alone.
3. Schedule that post for Sunday or Wednesday around 12, 3:00 UTC (adjust to your audience), using Timing and Frequency as the default, not a superstition.
4. Compare your median engagement to the dataset median (35) in At a Glance. If you are below median, fix hook and format before tactics.
5. Read Top High-Engagement Posts and steal one structural move (paragraph breaks, specificity, CTA), not the topic.
6. Revisit this checklist next quarter and track whether your band in benchmarks moves up.

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📏 Engagement Benchmarks

Use these thresholds to evaluate your content performance (total engagement: likes + comments + shares):

How to use these benchmarks: After you publish, wait 24-48 hours, then add likes + comments + shares. Find the band you are in. If you are consistently below 9, fix hooks and structure first. Between 9 and 35 is roughly average. 35 to 153 is a solid "good" range. 568+ is top-decile territory.

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📊 LinkedIn Engagement Benchmarks

ViralBrain Performance Intelligence
How does your post compare?

📋 About This Data

1️⃣ Quick Reference: Is My Post Doing Well?

Find your follower count, then compare likes and comments to typical ranges in that band (from this dataset).

Likes

Comments

Engagement Rate

Engagement Rate = (Likes + Comments + Shares) ÷ Followers × 100

Weighted Engagement Rate

Weighted Engagement Rate = (Likes + Comments × 5) ÷ Followers × 100
Comments weighted 5× (stronger intent, more algorithm signal).

📈 What The Tiers Mean

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1️⃣ Engagement Patterns

Comment-to-Like Ratio by Topic

High ratio (🔥) = conversation starters | Low ratio (👀) = passive consumption

Insight: Topics with high comment ratios (>0.3) are "conversation starters" that fuel the algorithm. Posts in these categories get more visibility because comments signal high engagement quality.

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Engagement Rate by Follower Tier

Does the "small accounts get better engagement" myth hold up?

✅ Myth Verdict: CONFIRMED

Small accounts (<10K) have 817% higher engagement rates than large accounts (50K+). The myth is TRUE.

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🏅 What Top Performers Do Differently

Comparing creator tiers by performance:

Key Insights from Top 10% Creators:

• 2.3x higher engagement rate than bottom 25%
• Average 2,686 likes and 312 comments per post
• Prefer TEXT format posts
• Average post length: 1,080 characters

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2️⃣ Content Structure

🎣 Hook Types That Work

First line patterns from top-performing posts:

Takeaway: CURIOSITY GAP hooks outperform by 518% compared to the lowest performer.

🎯 Hook Templates You Can Steal

Curiosity Gap: "I discovered something that changed everything about [topic]. Here's what nobody tells you..."

Bold Claim: "[Controversial statement]. I know this sounds crazy, but..."

Story: "3 years ago, I was [situation]. Then [catalyst happened]..."

Emotional: "I almost gave up on [goal]. This is what kept me going..."

Contrarian: "Everyone says [common advice]. They're wrong. Here's why..."

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📝 Word Count vs. Engagement

Is there a sweet spot for post length?

Finding: Very Long (350+) posts have the highest median engagement.

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📷 Format Performance

🏆 Best Format: IMAGE with 486 avg engagement

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#️⃣ Hashtag Impact Analysis

Do hashtags actually help? Here's what the data says:

Verdict: 🤷 Hashtags don't matter. Posts with 0 hashtags (42) perform about the same as posts with hashtags (42). Don't stress about them.

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3️⃣ Timing & Frequency

⏰ Best Time to Post (UTC)

Best Hours: 12:00, 3:00, 16:00 UTC

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📅 Best Days to Post

Best Days: Sunday, Wednesday

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📊 Posting Frequency vs. Engagement

Does posting more often lead to better results?

📉 Quality > Quantity: Occasional (<1/week) posters have 5.1x higher engagement rates than Daily (7+/week) posters.

Why? Mega-accounts often post daily, diluting their per-post engagement. Creators who post less frequently tend to put more effort into each post - and the algorithm rewards quality over volume.

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🎯 Timing Verdict

Posting time does matter for LinkedIn engagement here, with a large 148% variance and clear peaks and troughs. Aim for 12:00 to 17:00 UTC (best at 12:00, also strong at 16:00 to 17:00), with 3:00 and 22:00 UTC as additional high-performing options, and prioritize Sunday while avoiding Monday and especially 5:00 UTC (the weakest hour by far). This data contradicts the common claim that "timing does not matter" because performance varies dramatically by hour and day.

Variance between best and worst times: 148%

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📈 Engagement Trends Over Time

How has engagement changed month-over-month?

Trend: 📈 Engagement is UP 118% over the past 12 months.

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4️⃣ Niche Deep Dive

🎭 Performance by Category (Top 20)

Top Performers:

1. Personal Development - 1,386 avg engagement
2. Leadership - 892 avg engagement
3. LinkedIn Marketing - 756 avg engagement

Highest Viral Rate: AI Automation (10%)

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5️⃣ The Spicy Insights 🌶️

🎯 Underserved High-Opportunity Topics

Low competition + high engagement = opportunity

How Opportunity Score Works:
Opportunity = (Topic Engagement ÷ Average Engagement) × log(Average Posts Per Category ÷ Topic Posts)
Higher score = high engagement + low competition. A score of 30+ is exceptional.

💡 Example Post Ideas (Steal These)

Strategy: These topics are underexplored but audience interest is HIGH. Early movers win.

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🚀 What Makes Posts Go Viral

Key Insight: Viral LinkedIn posts deliver an instantly quotable takeaway up top, then earn attention with specificity (a contrast, a story, or a concrete behavior) instead of vague commentary or promotion.

Viral Patterns Found:

1. Punchy first-line thesis (scroll-stopper hook) - Top posts lead with a complete idea in the first 1 to 2 lines, so readers get value before they commit time. This increases dwell time and shares because the takeaway is instantly legible.
2. Crisp distinction framing (X is not Y) - Binary contrasts simplify complex topics and feel memorable. They invite agreement or debate, both of which trigger comments and reshares.
3. Values translated into behaviors (operational clarity) - Actionable definitions reduce ambiguity and signal leadership experience. People save and share content that can be applied in meetings and policies.
4. Narrative entry point with a real protagonist - A specific person and situation creates curiosity and emotional resonance, which boosts read-through and comment quality.
5. Timely news with clear significance - Announcements can perform when they connect the update to what it enables for the audience, not just what it is. Timeliness also increases reach through ambient interest.

Common Mistakes in Flops:

1. Generic motivational line with no evidence or angle - It is too common to feel original, and gives readers nothing to add in comments.
2. Buzzword-heavy commentary that never lands a concrete point - Abstract jargon reduces comprehension and shareability. If readers cannot restate the takeaway in one sentence, they do not share it.
3. Promotional post disguised as insight (tool or product pitch) - Audiences downrank obvious selling unless the post delivers standalone value first (lesson, benchmark, teardown, case study).

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Viral Patterns Identified

1. Punchy first-line thesis (scroll-stopper hook) (40% of viral posts)

   • "Culture isn’t what you say you value, it’s how people behave."

2. Crisp distinction framing (X is not Y) (20% of viral posts)

   • "Kindness and niceness aren’t the same thing."

3. Values translated into behaviors (operational clarity) (10% of viral posts)

   • "Values only work when they’re written as actions, not ideals. Reward the behavior, and the culture follows."

4. Narrative entry point with a real protagonist (10% of viral posts)

   • "I recently received an email titled 'An 18-year-old’s dilemma: Too late to contribute to AI?'"

5. Timely news with clear significance (10% of viral posts)

   • "Big day! We’re introducing Gemini 3, our most intelligent model..."

6. Native media reference (video) to increase dwell time (20% of viral posts)

   • "Video from Urban Land Institute (ULI) 2024..."

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Appendix: Top posts to study

Want to see what is trending right now? Check the trending posts area in ViralBrain after you read this report.

🏆 Top 10 High-Engagement Posts (By Engagement Rate)

Why these posts? Ranked by engagement rate (engagement ÷ followers), not raw numbers.
This surfaces exceptional content from creators of ALL sizes - not just mega-influencers.

#1: Jovan Kis

🔗 View Original Post on LinkedIn

Full Post Content:

Rezervisao sam hotel sa 8.5/10 🌟 na Booking-u.

WiFi nije radio.
Prozori se nisu otvarali.
A “5 minuta od centra” je bilo 25.

Sve je pisalo u review-ima.
Ali na stranici 47...

Problem nije što ljudi ne ostavljaju review-e.
Već što ih ima 800.

Ko ima vremena da pročita sve? Niko.

A jedna rečenica sakrivena na stranici 23 može da ti uništi odmor.

Izvolite TrueStay. Nalepiš link sa Airbnb-a ili Booking-a. AI pročita SVE review-e.

Dobiješ summary za 30 sekundi.
→ Da li je WiFi stvarno dobar?
→ Da li je komšiluk siguran?
→ Šta ljudi STVARNO kažu o hotelu?

Bez signup-a. Bez plaćanja. Samo odgovor. :)

Ne može da bude loše kad' je džabe...

Made with ❤️ from Europe.
https://truestay.me

Ako putuješ uskoro — probaj pre nego što bukiraš.

Ako znaš nekoga ko stalno putuje — podeli.

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#2: Carmelo Juanes Rodríguez

🔗 View Original Post on LinkedIn

Full Post Content:

This is so relatable and funny!

I love AI coding tools.

They're fast, creative, and can make your code look like art.

But the truth is, a lot of AI-generated code still doesn't work in production.

At Invofox, we see this every day.

We work with highly regulated, financially sensitive, and complex document workflows.

One small hallucination or parsing error can have massive downstream impact, so "almost right" != "good enough".

AI has made it easier than ever to build.

But making that AI production-grade, tested, compliant, explainable, and reliable is where the real engineering happens.

That's exactly what we focus on at Invofox: making AI work in production.

Beautiful code and AI means nothing if it breaks when it matters most.

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#3: Ingrid Rieken

🔗 View Original Post on LinkedIn

Full Post Content:

What can truly unite 15,000 employees?

At Everllence we are all for zero! 🫶

Today marks the launch of our new employer branding campaign. And ‘All for zero’ is more than just a tagline. It is a shared mindset that connects our pioneering spirit, our drive for excellence, and our deep sense of teamwork. It’s how we live our purpose: Moving big things to zero.

💬 Co-created with colleagues from around the world, this campaign is built on real voices and real stories. 
🌍 It’s designed to attract new talent – and to unite us as one team under our new brand Everllence. 
💙 As CHRO, I’m proud of this next chapter. Because a strong employer brand isn’t just about standing out. It’s about standing together.

👉 Watch the video and feel the energy of Everllence. Let’s give it all for zero.

#WeAreEverllence #MovingBigThingsToZero #AllForZero

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#4: Tomer C.

🔗 View Original Post on LinkedIn

Full Post Content:

David AI has raised a $50M Series B to establish the data layer for audio AI.

This round was led by Meritech, with participation from NVIDIA and our existing investors Alt Capital, First Round Capital, Amplify Partners, and Y Combinator.

Audio is the frontend interface for AI. Real-world AI-such as robots, wearables, personal assistants–runs on audio.

However, these systems need far more training data and evaluations. David AI exists to create that data–fueling the models that will bring these use cases to life.

David AI is an audio data research lab. To best serve our customers, we’re bringing a research-driven approach to dataset development.

If you’re excited about our mission, we’d love for you to apply. You can check out our open roles below.

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#5: Yanni Pappas

🔗 View Original Post on LinkedIn

Full Post Content:

I'm calling it right now. The biggest marketing shift in 2026 won't involve AI. It's something much simpler: things that are unmistakably real, honest, and human. Below are some of my favorite examples from 2025 that reflect this concept.

A24 put an "engagement announcement" in The Boston Globe to promote their upcoming film with Robert Pattinson and Zendaya, titled 'The Drama'

Hulu used real apples in grocery stores to promote Abbott Elementary with stickers slapped on the classic teacher-gift trope

Rachel Karten uses her own handwriting on simple objects, like napkins, to explain social media concepts on her Substack newsletter & LinkedIn

Workshop launched an old-school advice column site called 'Ask Devin' featuring Devin Owens giving real, human advice on internal comms questions

Ramp livestreamed Kevin from 'The Office' working inside a cubicle for 6 hours in the middle of NYC & put up physical flyers to promote the stunt

Canva staged a real billboard stunt, using humor to show when "make the logo bigger" goes a bit too far

Anthropologie started "selling" rocks in stores after a TikTok prank went organically viral

Call it the Analog Renaissance, call it guerrilla marketing, call it an OOH advertising comeback. This 'era' can be called MANY things. This era IS many nuanced things at once. The crave for IRL, tangible experiences, and feeling human again.

But one thing underpins it all. Christina Le calls it a shift towards "intellectual honesty." The idea of social going slow. Less rage bait, less AI slop, less "your attention span is cooked and here's content to perpetuate that brainrot."

The brands that win in 2026 will be the ones that understand that real attention is earned through real honesty.

And for that reason, I have hope for marketing this year.

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#6: Steef Coene

🔗 View Original Post on LinkedIn

Full Post Content:

Met mijn Cold Calling Script kreeg een klant 42 gekwalificeerde afspraken in 5 dagen.

En jij kunt 'm nu gratis ontvangen!

De meeste cold calling scripts zijn veel te lang, focussen op wat je moet zeggen, en hebben nauwelijks aandacht voor mindset.

Want laten we eerlijk zijn: cold calling lijkt op voorhand niet de allerleukste taak om te doen.

Totdat mijn klant 42 gekwalificeerde afspraken boekte en +10 deals sloot.

Het spelletje wordt leuker als je het snapt.

Ik heb nu de GPT Cold Caller Script gebouwd om jouw persoonlijke belscript te maken, terwijl je collega koffie zet.

Dit is wat je kan verwachten:
– Hoe in 3 stappen de gatekeeper jouw vriend wordt.
– De mindset truc die van cold calling je hobby maakt.
– Hoe je consistent afspraken boekt met beslissers.
– Hoe je bezwaren omzet naar JA'S

Kortom, een kort script die jou helpt om afspraken te boeken vanuit koude acquisitie.

Wil je de GPT Cold Calling Script ontvangen?

✅ Comment "Call"
✅ Connecteer met mij (anders kan ik je niks sturen)

Dan stuur ik je het script z.s.m. toe!

PS: Reageer je binnen 24 uur? Dan krijg je mijn exclusieve cold calling training cadeau t.w.v. €350

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#7: Joonhyeok Ahn

🔗 View Original Post on LinkedIn

Full Post Content:

In 2025, Claude became my co-founder.

Not an assistant. A system that runs 40% of my agency operations.

Here's the blueprint I wish existed 6 months ago.

Most people ask Claude questions.

I built Claude into my business infrastructure.

So I packaged everything into one resource.

What's inside:

→ Claude Projects Architecture
Structure that turns chaos into compound knowledge

→ Claude Code Setup
Deploy agents that write and execute code

→ Claude + n8n MCP
Build automations by describing them in plain English

→ Claude Skills Blueprint
Custom instructions that make Claude an expert in your domain

→ Query MCP + SEO MCPs
Connect Claude to live data sources for research at scale

Agencies charge $3K-8K to configure systems like these.

Took me 200+ hours to test and document.
Free for you.

1. Connect with me
2. Like + Comment "blueprint"
3. Repost for priority access

Happy New Year. Make 2025 the year you stop using AI like a search engine❤️

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#8: Dave Yang

🔗 View Original Post on LinkedIn

Full Post Content:

In 30: LinkedIn insights in 30 seconds or less.

Here are three numbers that matter for every B2B marketer:

86% of buyers already have a Day 1 list of brands before they enter the market.
3 brands make that list.
92% of buyers choose from it.

The lesson is simple:
Win before the funnel.
Show up early.
Stay memorable.

If you’re not on the Day 1 list, you’re not in the game.

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#9: Tom Crawshaw

🔗 View Original Post on LinkedIn

Full Post Content:

Anthropic just shipped Agent Teams into Claude Code and I put together a complete guide on how to install and use them.

The OpenClaw community was already doing this with custom skills and workarounds....

Anthropic noticed and made it native.

No plugins or setup hacks needed.

It's built right into the tool now.

Instead of one agent doing everything solo in a straight line, a lead agent now breaks your task into pieces, spins up multiple teammates, and they all work on different parts of your project at the same time.

One researches, one debugs, one builds.

They talk to each other, share findings, and coordinate through a shared task list without you having to manage any of it.

The guide covers:
→ What agent teams are and how they actually work
→ How they're different from sub-agents (and when to use which)
→ How to enable them in your settings in 30 seconds
→ How to start your first team and what to say
→ Best practices so you don't burn through tokens
→ The limitations you need to know before you start

This is one of those features that sounds small on paper but completely changes how you work with Claude Code once you start using it.

1️⃣ Connect with me
2️⃣ Comment "AGENT" and I'll send you the complete guide to your inbox

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#10: Marie Basler ☀️

🔗 View Original Post on LinkedIn

Full Post Content:

Aujourd’hui, j’aimerais aborder un sujet qui rythme ma vie depuis maintenant plus de 6 ans.

Il aura fallu un voyage à Lisbonne pour me pousser à rédiger ce post. Est ce que LinkedIn est le meilleur canal pour prendre la parole ? Dans mon cas, je pense que oui. 🧢 Ma casquette de communicante en santé justifie sûrement ce choix. Pourquoi en parler ? Sensibiliser. Informer. Démocratiser. Faciliter la vie des personnes atteintes de cette maladie.

Il y a 6 ans, on m’a diagnostiqué la maladie cœliaque, je me souviens encore de ma gastro-entérologue, peinée, qui me fit cette fameuse annonce : « Vous devez arrêter le gluten - à vie - sans jamais faire d’écart » ☝🏻 ⛔️

En quelques mots, la maladie cœliaque est une maladie intestinale chronique auto-immune qui entraîne une atrophie des villosités de la muqueuse intestinale suite à l’ingestion de gluten. Il se retrouve principalement dans le blé (ciao le bon 🥖), l’orge (bye bye les 🍻), le froment, le seigle, l’épeautre... Mais aussi, en raison de la récolte uniquement, dans l’avoine.

Le plus étonnant, c’est ce chiffre : 80 % des cœliaques ne le savent pas. Pour ma part, c’est grâce à une gastroscopie et plus particulièrement une biopsie, que le diagnostic a été posé.

Au quotidien, être cœliaque c’est :

• ne jamais pouvoir craquer sur les petits pains fraîchement amenés par les collègues le matin 🥐
• planifier sa journée pour être certaine de pouvoir manger le midi et laisser peu de place à l’improvisation, aux envies soudaines… comme craquer à une odeur de crêpe ou de gaufre dans les ruelles de #Strasbourg ❌
• prendre le temps 🔍de se renseigner sur les restaurants sans gluten lorsqu’on part en vacances et donc bien organiser son voyage
• être vraiment très heureuse de trouver un McDo sans gluten (dans les grandes villes mais jamais en France 🙃 - ou alors demander un burger sans pain 🎉)
• se sentir parfois mise de côté « mmmh c’est super bon ça t’en penses quoi ? » « ah ben non, tu peux pas en manger » «
  #Sansgluten ? On devrait dire sans gouten » 😒
• se rendre au restaurant, jamais totalement confiante, et poser toutes mes questions 🤔en essayant de ne pas m’excuser car au fond, je n’y peux rien, c’est ma santé : « vous cuisez vos frites dans une huile à part ? » « Est ce que vous ajoutez des oignons frits ? Souvent il y a du blé » « Et la sauce soja, est-elle sans gluten ? »
• ne pas toujours reconnaître mes symptômes
• à Strasbourg* chercher ses pizzas, tartes flambées, pâtisseries, éclair à la vanille… 🤤😋 sans danger (et forcément sans gluten) à la Boulangerie L'Eden Libre de Gluten, cette petite boulangerie place du temple neuf (merci d’exister ❤️)
• entendre les gens autour de moi me dire « je pourrais pas manger sans gluten, honnêtement à ta place j’aurai préféré ne pas le savoir »
• aller au restaurant et tomber sur des serveurs, sûrs d’eux, « y a du lait dans le plat, vous ne pouvez pas en manger » 🥛❌🌾 alors que le lactose n’a rien à voir avec le gluten
  AFDIAG

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📚 Methodology

Data Collection

• Source: ViralBrain harvested posts database (real LinkedIn data)
• Time Period: 1/15/2014 - 3/25/2026
• Total Posts: 20,796
• Total Creators: 800

Analysis Methods

• Quantitative: SQL aggregations, percentile calculations, correlation analysis
• Qualitative: GPT-4 pattern recognition on post content

Statistical Notes

• Median vs. Average: We use median for most comparisons as it's less affected by outliers
• Minimum Sample Size: 20+ posts required for category-level insights
• Percentiles: P50 = median, P75 = top quartile, P90 = top 10%, P99 = top 1%

Limitations

• Data limited to posts scraped by ViralBrain users
• Engagement metrics are point-in-time snapshots
• Category classifications are AI-generated
• Sample size varies by niche (minimum 20 posts required)

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This report was generated on March 25, 2026 by ViralBrain Analytics.

For questions or feedback, contact the ViralBrain team.