Juliette
Ouça agora CICLONE 🌪️
6,059,509
Followers
4,282
Following
29,735
Tweets
3,716.2
Avg Engagement
1,303
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @juliette'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: Mega Influencer (1M+)
- Account Age:2021-01-18
- Verification:No
- Location:Paraíba, Brasil
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:3,422.2
- Avg Retweets per Tweet:294.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHer tweets receive high engagement, with an average of 175,598 likes and 18,224 retweets per tweet.
3,422.2
Avg Likes/Tweet
294.0
Avg Retweets/Tweet
11,115,404
Total Likes
954,809
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
474
Median Likes
31
Median Retweets
3,638
75th Percentile
322,525
Top Tweet
0.61
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
24.5%
Original
69.0%
Replies
3.2%
Retweets
3.3%
Quotes
0.0%
Threads
0.0%
With Media
15.9%
With Links
6.1%
With #Tags
71.9%
With @Mentions
64.7%
With Emojis
46
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.81
Reply/Original Ratio
1.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.1%
Weekday Posts
15.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 105 retweets (3% 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 3,248 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 50,000 followersHer audience is primarily from Brazil, especially the Northeast region, where she has a strong cultural and emotional connection.
Below Average
Audience Quality
46.8%
Suspicion Index
74.3%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
76.4%
Empty Bio
83.3%
<10 Tweets
0.6%
Mass Following (>2K)
0.0%
New (<90 days)
87.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.5%
No URL
72.3%
<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.
3,476,988
Total Potential Reach
0
Median Follower Reach
2
75th Percentile Reach
0.5%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
6.5%
Creators
3,262 accounts
10.2%
Consumers
5,105 accounts
83.3%
Dormant
41,633 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):
44
Verified Followers
0.04% of total
11,655
Protected Accounts
11.54% of total
1 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 |
|---|---|---|---|
| @PaolaCarosella | 1,724,571 | - | - |
| @jadepicon | 1,425,981 | Influencer | Fashion, Beauty, Travel |
| @dania_mdz | 255,291 | Doctor | honestidad, educación, lcdlf3 |
| @S4z___ | 168,908 | Influencer | Gaming, Private, Exclusive |
| @Leon_SegoviaOK | 116,416 | Activista | Activismo, Diversidad, Humor |
| @domitila_barros | 103,924 | Model | BBB23, Miss Germany, Lion |
| @lucaskrewt | 91,199 | Musician | music, travel, photography |
| @TalPoeta | 89,091 | Poet | Quotes, Poetry, Inspiration |
| @akarolinelima | 82,318 | Influencer | Fashion, Beauty, Lifestyle |
| @diegoschueng | 71,911 | Presenter | Reality TV, Journalism, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
24,412
Followers With Bio
76,576
Followers Without Bio
24.17%
% With Bio
75.83%
% 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 3,248 analyzed1,229,968
Combined Engagement
1,110,307
Total Likes
119,661
Total Retweets
245,994
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
Todos cmg... NORDESTE EU TE AMO
Bora, Nordeste. Bora agir! ❤
DEIXEM O NORDESTE VOTAR
Queria estar surpresa com as falas preconceituosas sobre o Nordeste, mas não estou. Nem com a pessoa, nem com a atitude. Esse é o reflexo de um pensamento raso, desinformado e maldoso. Novidade? Nenhuma! Mas dia 30 a gente consegue retribuir numa linguagem bem clara ❤
https://t.co/3g7IxTRYP2
Key Insights & Takeaways
Her content is highly regional and emotionally charged She uses a casual and passionate tone to connect with her audience She emphasizes community and collective action in her messaging
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 6,059,509
- + High community engagement through conversations
- + 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 @juliette reveals an exceptionally influential Twitter presence with 6,059,509 followers. The account demonstrates a conversation-first approach, averaging 3,716.2 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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