Weekly Intelligence Report

LinkedIn Content
Intelligence Report

23/03/2026 to 30/03/2026

300
Posts Analyzed
31.5K
Total Engagement
01 — Overview

Executive Summary

Total Posts
300
Across all monitored voices
Avg Engagement Score
104.9
Weighted engagement metric
Top Theme
AI & Technology
Highest average engagement
Best Format
carousel
Top-performing content type
Period: 23/03/2026 to 30/03/2026 Generated: 30/03/2026 20:45
02 — Themes

Theme Breakdown

Theme Engagement Chart

Top Themes

  • AI & Technology — 50 posts, avg engagement 592.1
  • Leadership & Management — 47 posts, avg engagement 13.4
  • Career & Personal Branding — 50 posts, avg engagement 8.9
03 — Formats

Format Performance

Format Comparison Chart
carousel is the top-performing format with an average engagement score of 140.9.
  • carousel — avg score 140.9, 16 posts
  • text — avg score 103.3, 280 posts
  • video — avg score 92.7, 3 posts
  • image — avg score 0, 0 posts
  • poll — avg score 0, 0 posts
04 — Top Posts

Top Posts (1/2)

05 — Top Posts

Top Posts (2/2)

06 — Hooks & CTAs

Hook & CTA Analysis

Hook Patterns

Hook Effectiveness

CTA Patterns

CTA Effectiveness
Best hook pattern: bold_claim  •  Best CTA pattern: link_click
07 — Voices

Key Voices

Name Seniority Themes Posts Total Engagement
Chip Huyen Creator AI & Technology 1 20.8K
Allie K. Miller AI & Technology 4 8.0K
Ahirton Lopes AI & Technology 1 683
Alexandre da Costa Peixoto Leadership & Management 4 627
Adrienne Tom Career & Personal Branding 3 414
Felipe Cofiño People & Culture 5 244
Maik Klotz Fintech & Payments 5 217
Elisa Terumi AI & Technology 4 115
Anne Caron People & Culture 2 115
Jaclyn Lee People & Culture 1 93
Grant Evans Fintech & Payments 5 81
Janaína Lima Career & Personal Branding 4 31
08 — Timing

Publishing Patterns

Publishing Heatmap
Best Day
Wednesday
Best Hour
20:00 BRT
09 — Gaps

Gap Analysis

Gap Analysis
Themes with high engagement but low content volume represent the best opportunities. Top opportunity: Leadership & Management.
  • Leadership & Management — Gap score: 3 (supply rank #5, demand rank #2)
  • AI & Technology — Gap score: 2 (supply rank #3, demand rank #1)
  • Fintech & Payments — Gap score: 1 (supply rank #6, demand rank #5)
  • Career & Personal Branding — Gap score: 1 (supply rank #4, demand rank #3)
10 — Newsletters

Newsletter Intelligence

Newsletters
1
Editions
1
NL Avg Engagement
0
vs Regular Posts
below 100%
  • 🥇 Clara Sodré's Newsletter by Clara Sodré — 1 editions, avg score 0
10 — Your Performance

Your Performance vs. Field

Your Eng. Rate
0.0
per 1K followers
Field Avg Rate
105.9
per 1K followers
vs. Field
100% below
engagement rate
Posts Analyzed
3
your posts
Your Performance vs Field

By Theme (rate per 1K followers)

ThemePostsYour RateField RateDelta
No theme data

By Format (rate per 1K followers)

FormatPostsYour RateField Rate
No format data

What drives your engagement

  • Theme: posts avg 0 engagement.
  • Format: post posts avg 0 engagement.
  • Hook Type: bold_claim posts avg 0 engagement vs question avg 0.
  • Cta Type: none posts avg 0 engagement.
  • Day: Wednesday posts avg 0 engagement vs Sunday avg 0.
  • Hour: 10h posts avg 0 engagement vs 13h avg 0.
  • Text Length: short (<200 chars) posts avg 0 engagement.
12 — Actions

Recommendations

  1. Prioritize carousel posts — Carousel posts average 140.9 engagement score, outperforming other formats.
    Action: Aim for at least 2 carousel posts per week. Study the top performer: [PT-BR] 🇧🇷 Olá minhas rapadurinhas, tudo bem com vocês? 👋🏻 Receber a placa com...
  2. Lead with 'bold_claim' hooks — Posts using 'bold_claim' hooks average 121 engagement score across 256 posts. bold_claim (121 avg, 256 posts) outperforms question (11 avg, 28 posts).
    Action: Open your next posts with a bold_claim. Example from top performer: "OMG I'M SO HAPPY!!! 'Designing Machine Learning Systems' is finally out!"
  3. Close with 'link_click' CTAs — 'link_click' CTAs drive 404 avg engagement across 55 posts. link_click (404 avg, 55 posts) is the dominant CTA pattern vs none (40 avg, 212 posts).
    Action: End posts with a link click. Example: "OMG I'M SO HAPPY!!! 'Designing Machine Learning Systems' is finally out!"
  4. Seize the 'Leadership & Management' opportunity — 'Leadership & Management' has high engagement (avg 13.4) but low volume (47 posts). This theme is underserved.
    Action: Create 2-3 posts per week on 'Leadership & Management'. The audience is hungry for this content but few creators are supplying it.
  5. Publish on Wednesdays around 20:00 BRT — Wednesday is the highest-engagement day (avg 101.5), and 20:00 BRT is the peak hour (avg 172).
    Action: Schedule your most important posts for Wednesday around 20:00 BRT. Use other weekdays for lighter content or reposts.
  6. Engage with top voices in 'AI & Technology' — Chip Huyen (Creator | Chip Huyen) leads 'AI & Technology' with 1 posts and 20793 total engagement.
    Action: Comment thoughtfully on posts from top voices in this theme. Build visibility before pitching collaborations.
  7. Ride the wave on trending keywords — The most engagement-weighted keywords are: learning, systems, designing, finally, omg. These terms appear in high-performing content.
    Action: Incorporate these keywords naturally into your next posts. Combine 2-3 trending terms for maximum resonance.
  8. Close the gap with targeted improvements — Your content averages 0 engagement, 100.0% below the field average of 105.9.
    Action: Study the top 5 posts in your primary themes and reverse-engineer their hook patterns, formats, and CTAs.
13 — Methodology

Methodology

Data Sources

LinkedIn public posts from a curated roster of key voices in the CTO, fintech, engineering, and AI niches. Posts collected via compliant data access methods.

Collection Period

Period: 23/03/2026 to 30/03/2026
Total posts analyzed: 300
Key voices monitored: 85

Engagement Scoring

Weighted formula:
saves×4 + reposts×3 + comments×2 + likes×1

Tiers: Viral (>95th pct), High (>80th), Medium (>50th), Emerging (rest)

Filters & Disclaimers

Language: Portuguese & English

Engagement data is approximate and based on publicly visible metrics. Rankings reflect relative performance within the monitored set, not absolute LinkedIn benchmarks.