Laura Seraphim
laura@vem.agency
489,933
Followers
376
Following
8,794
Tweets
4,987.2
Avg Engagement
149
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SeraphimLaura'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:2019-06-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:596
- Avg Likes per Tweet:4,459.1
- Avg Retweets per Tweet:528.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 596 tweetsHer tweets receive high engagement, with an average of 91k likes and 11k retweets per post.
4,459.1
Avg Likes/Tweet
528.1
Avg Retweets/Tweet
2,657,636
Total Likes
314,752
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
735
Median Likes
42
Median Retweets
3,072
75th Percentile
152,296
Top Tweet
10.18
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
65.3%
Original
27.3%
Replies
5.4%
Retweets
2.0%
Quotes
0.0%
Threads
0.2%
With Media
44.8%
With Links
10.1%
With #Tags
39.1%
With @Mentions
6.4%
With Emojis
92
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.42
Reply/Original Ratio
0.38
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.9%
Weekday Posts
33.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 596 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 32 retweets (5% 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 596 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 includes Brazilians interested in pop culture, social issues, and lifestyle content.
Average
Audience Quality
21.2%
Suspicion Index
26.0%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.3%
Empty Bio
28.1%
<10 Tweets
3.7%
Mass Following (>2K)
0.0%
New (<90 days)
49.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.6%
No URL
20.7%
<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.
18,358,845
Total Potential Reach
18
Median Follower Reach
84
75th Percentile Reach
3.0%
>1K followers
0.3%
>10K followers
0.1%
>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).
55.3%
Creators
27,661 accounts
16.6%
Consumers
8,290 accounts
28.1%
Dormant
14,049 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):
82
Verified Followers
0.08% of total
23,763
Protected Accounts
23.53% of total
3 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 |
|---|---|---|---|
| @choquei | 4,774,740 | Entertainment News | artistas, famosos, acontecimentos |
| @CAPRICHO | 2,640,426 | Magazine | Astrology, Mystical, Culture |
| @MauMeirelles | 1,329,829 | Comedian | ironia, deboche, sarcasmo |
| @ounojo | 1,206,721 | Content Creator | memes, decepções, comercial |
| @marcoscastro | 801,066 | Comedian | comedy, mathematics, music |
| @eupelu | 788,311 | Musician | cantor, compositor, produtor musical |
| @rosana | 696,590 | Writer | Escritora, Física, Jornalista |
| @solalexasch | 678,148 | Musician | Music, Travel, Tattoos |
| @universitariia | 605,617 | - | - |
| @Dantinhas | 574,024 | TV Commentator | TV, humor, commentary |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
71,178
Followers With Bio
29,821
Followers Without Bio
70.47%
% With Bio
29.53%
% 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 596 analyzed685,275
Combined Engagement
622,594
Total Likes
62,681
Total Retweets
137,055
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
https://t.co/rqWeObivbB https://t.co/b0caVPn6AI
Brasil todo ou tá na praia ou tá com gripe ou tá na praia com gripe
Assistir bbb? Não obrigada prefiro uma boa leitura https://t.co/FqtRVcbke7
No Brasil o diabo veste shein
Nossa Arthur Aguiar é tão gnt boa acho q eu perdoava 16 chifres dele
Key Insights & Takeaways
She uses humor to comment on societal issues and everyday life in Brazil. Her content often blends pop culture with social critique. She leverages trending topics and relatable themes to connect with her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 489,933
- + 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 @SeraphimLaura reveals an exceptionally influential Twitter presence with 489,933 followers. The account demonstrates a content-creator strategy, averaging 4,987.2 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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