Jonathan Couto
Johnny.
114,344
Followers
2,415
Following
8,341
Tweets
334.9
Avg Engagement
206
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jonathancouto's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2012-12-18
- Verification:No
- Location:Rio de Janeiro, Brasil
Data Summary
- Tweets Analyzed:3,124
- Avg Likes per Tweet:70.3
- Avg Retweets per Tweet:264.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,124 tweetsHis tweets receive an average of 1,334 likes and 963 retweets, indicating a moderately engaged audience.
70.3
Avg Likes/Tweet
264.6
Avg Retweets/Tweet
219,620
Total Likes
826,574
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
48
Median Likes
39
Median Retweets
198
75th Percentile
581,286
Top Tweet
2.93
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
84.4%
Original
9.4%
Replies
6.1%
Retweets
0.1%
Quotes
0.0%
Threads
1.8%
With Media
56.9%
With Links
12.3%
With #Tags
22.9%
With @Mentions
12.8%
With Emojis
60
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.6%
Weekday Posts
30.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,124 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 192 retweets (6% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,124 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,000 followersHis audience appears to be primarily Brazilian, with a focus on personal connections and emotional engagement.
Average
Audience Quality
20.9%
Suspicion Index
24.6%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.1%
Empty Bio
29.3%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
43.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.9%
No URL
19.2%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
10,212,401
Total Potential Reach
31
Median Follower Reach
174
75th Percentile Reach
4.6%
>1K followers
0.3%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
50.6%
Creators
5,059 accounts
20.1%
Consumers
2,010 accounts
29.3%
Dormant
2,931 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
4
Verified Followers
0.04% of total
2,188
Protected Accounts
21.88% of total
6 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @alvxaro | 4,931,013 | Meme Slayer | memes, humor, matadora |
| @_gabibrandt | 456,281 | Influencer | Family, Faith, Fashion |
| @armandoaraiza | 426,128 | Actor | Productor, Actor, Comunicador |
| @juanjosemolina | 308,015 | Architect-Lawyer | Esposo, Padre, Abuelo |
| @adamovich_igor | 246,464 | Entertainer | Shows, Medellin, Music |
| @como_e_dificil8 | 175,435 | Adult Content Creator | Sex, Content Removal, Promotion |
| @Hits93Toronto | 174,968 | Radio Station | Music, Radio, Indie |
| @1NewsBrasil | 172,605 | News Outlet | News, Brazil, Routine |
| @mateuscarrilho | 171,333 | Musician | Music, Fashion, LGBTQ+ |
| @LucasSalles | 161,057 | Entertainer | TV, Acting, Podcasts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,990
Followers With Bio
3,010
Followers Without Bio
69.9%
% With Bio
30.1%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,124 analyzed611,822
Combined Engagement
6,083
Total Likes
605,739
Total Retweets
122,364
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @Harry_Styles: I don't know about you, but I'm feeling 22.
RT @anagbls: https://t.co/dLzStDGuGH
RT @neymarjr: Que Deus nos abençoe e nos proteja 🙏⚽ http://t.co/w5aa6sUAnH
Olá https://t.co/UG9NrsPNgR
RT @sauloponcio: Porque comigo hein? 😞💔 https://t.co/foI3C5RD1Z
Key Insights & Takeaways
He frequently shares personal updates and emotional moments, which likely drive engagement. His content includes references to pop culture, such as mentioning Bieber, which may attract fans. He uses emojis and casual language to create a warm and relatable tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 114,344
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @jonathancouto reveals an well-established Twitter presence with 114,344 followers. The account demonstrates a content-creator strategy, averaging 334.9 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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