re•lully
Traficante de cultura
67,068
Followers
1,535
Following
133,046
Tweets
1,631.5
Avg Engagement
215
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lullylucky'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: Mid-Tier (10K+)
- Account Age:2008-01-27
- Verification:No
- Location:Rio de Janeiro, RJ
Data Summary
- Tweets Analyzed:3,109
- Avg Likes per Tweet:25.3
- Avg Retweets per Tweet:1,606.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,109 tweetsTheir tweets receive moderate engagement, with an average of 3,582 likes and 497 retweets per tweet.
25.3
Avg Likes/Tweet
1,606.2
Avg Retweets/Tweet
78,813
Total Likes
4,993,577
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
5
Median Retweets
214
75th Percentile
240,000
Top Tweet
24.33
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
9.4%
Original
27.1%
Replies
55.2%
Retweets
8.2%
Quotes
0.0%
Threads
0.2%
With Media
58.2%
With Links
13.3%
With #Tags
81.7%
With @Mentions
15.7%
With Emojis
129
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.88
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.4%
Weekday Posts
20.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,109 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 1,717 retweets (55% 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 3,109 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 followersTheir audience is primarily Brazilian, interested in entertainment, pop culture, and social media trends.
Good
Audience Quality
15.7%
Suspicion Index
16.9%
Low-Quality %
80
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.1%
Empty Bio
10.3%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
39.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
76.9%
No URL
6.6%
<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.
21,454,781
Total Potential Reach
80
Median Follower Reach
245
75th Percentile Reach
6.8%
>1K followers
1.9%
>10K followers
0.9%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
78.1%
Creators
7,814 accounts
11.6%
Consumers
1,157 accounts
10.3%
Dormant
1,029 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):
31
Verified Followers
0.31% of total
2,033
Protected Accounts
20.33% of total
8 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 |
|---|---|---|---|
| @monark | 1,480,928 | Podcaster | Podcast, princípio, vivendo |
| @ssarahandrade | 1,336,241 | Influencer | Fashion, Lifestyle, Travel |
| @StartupPro | 977,536 | Entrepreneurship | Entrepreneurship, Technology, Investing |
| @MrPoladoful | 664,267 | YouTuber | Gaming, Comedy, Entertainment |
| @jbanguela | 490,605 | Comedian | Comedy, Writing, Directing |
| @vozdacomunidade | 434,701 | Journalist | Community news, Favelas, Rio de Janeiro |
| @trixparix | 414,554 | Streamer | Gaming, Streaming, Esports |
| @TurmadaMonica | 350,843 | Comics | Comics, Cartoon, Brazilian culture |
| @brunoformiga | 345,509 | Sports Commentator | Esportes, Entretenimento, Parcerias |
| @ellebrasil | 335,053 | Fashion Magazine | Fashion, Beauty, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,286
Followers With Bio
2,714
Followers Without Bio
72.86%
% With Bio
27.14%
% 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 3,109 analyzed772,360
Combined Engagement
0
Total Likes
772,360
Total Retweets
154,472
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @taylorswift13: In my Eras era. 💅 https://t.co/r2E2PWVm6Z
RT @itsvivianlorena: I love Halloween https://t.co/Zx0LvJCbCk
RT @noemistauffer: Me in 2021 https://t.co/nP1YvSfWSs
RT @Roy_oh_Roy: https://t.co/YU5bli8IRo
RT @BLACKHlLL: I’M FUCKING ROLLING https://t.co/GKgDI2qK8x
Key Insights & Takeaways
They often reference popular Brazilian TV shows like BBB21, indicating a strong connection to current entertainment trends. Their content includes personal reflections and opinions, suggesting a more informal and conversational style. They engage with followers by asking for favorites and encouraging interaction, which helps maintain a sense of community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 67,068
- + 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 @lullylucky reveals an exceptionally influential Twitter presence with 67,068 followers. The account demonstrates a conversation-first approach, averaging 1,631.5 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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