CNN vs Meta — Instagram Profile Comparison
Compare CNN and Meta Instagram profiles side-by-side. Analyze followers, engagement rates, and account performance.
This page provides a detailed Instagram comparison between @cnn (CNN) and @meta (Meta). With 22.9M and 5.5M followers respectively, both accounts are classified as Celebrity and Mega level Instagram profiles. Our analysis covers key areas including follower statistics, engagement rates, posting frequency, hashtag strategy, and authority scores.
Profile Overview
Asking the hard questions and bringing unique perspective from across the globe. This is CNN.
22.9M
Followers
81%
320
Following
12
Posts
50%
Connect with what you love to make things happen
5.5M
Followers
19%
29
Following
12
Posts
50%
In this overview, @cnn is currently leading the comparison with stronger numbers in 2 out of 3 primary metrics. The percentage bars reflect each account's share relative to the combined total of both profiles.
Top Performing Posts
@meta's best post achieved 197.4K likes, which is 139.3K more than @cnn's top post at 58.1K likes. A strong top post typically indicates either viral content, high audience resonance, or effective use of Instagram's recommendation algorithm.
Key Metrics Comparison
In this head-to-head comparison, @cnn wins 3 out of 6 categories while @meta takes 2. @cnn leads overall, but @meta shows notable strength in Engagement Rate.
The most significant gap appears in Engagement Rate, where @meta leads by 93%.
Hashtag Performance
0
With Hashtags
12
Without Hashtags
3
With Hashtags
9
Without Hashtags
@meta uses an average of 0.3 hashtags per post, while @cnn does not currently use hashtags. The data shows that hashtags don't impact engagement for @meta.
Engagement Trend
-72.6%
Engagement change
Likes
Comments
+207.5%
Engagement change
Likes
Comments
@cnn shows a significant -72.6% engagement decline. This sharp drop may be influenced by one or more viral older posts that inflated the historical average, rather than indicating a genuine loss of audience interest.
@meta shows a positive 207.5% engagement growth, indicating increasing audience interest and content resonance.
Overall, @meta demonstrates the stronger engagement trajectory in this comparison.
Posting Frequency
@cnn
@meta
Both accounts post approximately 12.0 and 12.0 times per week respectively. @meta achieves a higher consistency score of 53%, meaning their posting schedule is more predictable.
@cnn is most active on Saturday, while @meta prefers Thursday.
Advanced Analytics
The Authority Score is calculated from five weighted factors: Reach (max 25), Engagement (max 30), Follower-to-Following Ratio (max 20), Consistency (max 15), and Verification status (max 10). Scores above 80 are rated "Elite".
Account Classification
22.9M followers
Range: 10M+
@cnn
5.5M followers
Range: 1M-10M
@meta
The Influence Index reflects an account's overall impact potential on a scale of 1-100, combining audience size with engagement quality and content activity.
Engagement Quality
@cnn
0.05%
Benchmark: 0.1-0.2%
@meta
0.72%
Benchmark: 0.2-0.5%
Following/Followers Ratio
@cnn
1:71.6K
Very influential
@meta
1:189.5K
Very influential
Content Density(posts per 1K followers)
@cnn
0.00
Low@meta
0.00
LowContent Density measures total posts per 1,000 followers. Higher values indicate more prolific content creation relative to audience size. Celebrity accounts typically show low density due to massive follower counts.
Expert Verdict & Conclusion
Overall Analysis:
Both profiles share similar strengths, making the competition between them quite balanced.
@cnn
@cnn excels in: Followers, Avg Comments.
@meta
@meta excels in: Engagement Rate, Avg Likes.
With an engagement rate of 0.72% (benchmark for this size: 0.2-0.5%), this profile demonstrates below-average audience interaction.
Conclusion
This comparison highlights that Instagram success is multifaceted. While @cnn has the larger audience (22.9M followers), @meta generates deeper engagement per post (0.72%). Both accounts represent significant influence within their space on Instagram.
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