Engagement Analysis

RAG Ready
Analyzed Jun 6, 2026 · 05:33 UTC·5 chunks embedded per video·ChromaDB in-memory
New Analysis

Video Comparison

Video A leads by +3.21% engagement
Thumbnail for I Tested 7 Viral Content Hooks — Here's What Actually Works in 2026 by Marcus Chen
AYouTube
Higher Engagement
14:32

I Tested 7 Viral Content Hooks — Here's What Actually Works in 2026

@Marcus Chen·1.2M followers

Engagement Rate

6.93%

Formula

(likes + comments)

÷ views × 100

Views
2.8M
Likes
184.9K
Comments
12.8K
Upload Date
May 14, 2026
View Original Video
Thumbnail for Content creation tips that changed my career (honest review) by Priya Nair
BReels
0:58

Content creation tips that changed my career (honest review)

@Priya Nair·287.0K followers

Engagement Rate

3.72%

Formula

(likes + comments)

÷ views × 100

Views
894.5K
Likes
31.2K
Comments
2.2K
Upload Date
May 21, 2026
View Original Video

RAG Chat

GPT-4o · LangChain · ChromaDB

4 msgs
U
Why did Video A get more engagement than Video B?
05:28 UTC
Video A achieved a 6.93% engagement rate versus Video B's 3.72%, a delta of +3.21 percentage points. Several factors explain this gap:
1. Hook strength in the first 5 seconds: Video A opens with a direct challenge — *"Most creators get this completely wrong"* — creating immediate cognitive tension. Video B opens with a soft introduction that delays the value proposition by ~12 seconds.
2. Content specificity: Video A uses numbered lists (*"7 hooks I tested"*) which set clear expectations. Viewers who know what they're getting have higher completion rates, which boosts algorithmic distribution.
3. Duration and platform fit: At 14:32, Video A benefits from YouTube's watch-time algorithm which rewards longer sessions. Video B's 0:58 Reel format limits the comment-driving depth that longer content enables.
4. Creator authority: Marcus Chen's 1.24M followers vs Priya Nair's 287K means Video A had a larger initial push during the first 48 hours — critical for algorithmic momentum.
Sources:Video A · Chunk 1Video A · Chunk 3Video B · Chunk 1

Follow-up questions

05:28 UTC
U
What is the engagement rate of each video?
05:29 UTC
Here are the computed engagement rates for both videos:
Video A (YouTube — Marcus Chen)- Views: 2,847,320- Likes: 184,920 · Comments: 12,847- Engagement Rate: (184,920 + 12,847) ÷ 2,847,320 × 100 = 6.93%
Video B (Instagram Reel — Priya Nair)- Views: 894,500- Likes: 31,240 · Comments: 2,180- Engagement Rate: (31,240 + 2,180) ÷ 894,500 × 100 = 3.72%
A 6.93% rate is considered excellent for YouTube (industry benchmark: 3–5%). Video B's 3.72% is below average for Instagram Reels (benchmark: 5–8%), suggesting distribution or content-fit issues despite the platform typically generating higher engagement rates.
Sources:Video A · Chunk 0Video B · Chunk 0

Follow-up questions

05:29 UTC

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