Leviathan
streamer en @giantsgaming | @twitch partner • 📸 | https://www.facebook.com/unsupportedbrowser
86,736
Followers
1,797
Following
50,715
Tweets
181.4
Avg Engagement
83
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SandraCabeza'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:2009-04-30
- Verification:No
- Location:España
Data Summary
- Tweets Analyzed:3,232
- Avg Likes per Tweet:114.7
- Avg Retweets per Tweet:66.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,232 tweetsHer tweets receive an average of 7,158 likes and 1,045 retweets, indicating strong audience interaction.
114.7
Avg Likes/Tweet
66.7
Avg Retweets/Tweet
370,673
Total Likes
215,557
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
0
Median Retweets
81
75th Percentile
64,976
Top Tweet
2.09
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
30.4%
Original
51.5%
Replies
14.3%
Retweets
3.8%
Quotes
0.0%
Threads
0.0%
With Media
34.7%
With Links
8.1%
With #Tags
65.5%
With @Mentions
45.4%
With Emojis
77
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.7
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.5%
Weekday Posts
26.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,232 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 463 retweets (14% 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 3,232 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 followersHer audience appears to be interested in gaming, streaming, and personal stories.
Average
Audience Quality
26.1%
Suspicion Index
33.3%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.3%
Empty Bio
26.6%
<10 Tweets
7.4%
Mass Following (>2K)
0.0%
New (<90 days)
61.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.7%
No URL
18.3%
<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.
19,950,091
Total Potential Reach
20
Median Follower Reach
96
75th Percentile Reach
3.3%
>1K followers
0.7%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
50.9%
Creators
5,086 accounts
22.6%
Consumers
2,257 accounts
26.6%
Dormant
2,657 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):
72
Verified Followers
0.72% of total
874
Protected Accounts
8.74% of total
4 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 |
|---|---|---|---|
| @IkerCasillas | 10,120,858 | Footballer | Football, Ambassador, Real Madrid |
| @DanyanCatSQ | 1,762,942 | Gamer | Gamer, Directos, Facebook Gaming |
| @vitacelestine | 670,279 | Streamer | Streamer, Otaku, Gamer |
| @chutyvk | 566,395 | Rapper | Music, Business, Graduation |
| @GirlOfNox | 554,162 | Streamer | Gaming, Streaming, Content Creation |
| @DanielFez | 438,507 | Influencer | Gaming, Fiction, Twitch |
| @OllieGamerz | 412,429 | Streamer | Gaming, Streaming, Esports |
| @NatosyWaor | 409,947 | Rapper | Music, Rap, Spanish |
| @NOVOA7MST | 176,546 | Logística | Sustainability, Logistics, Renewable Energy |
| @Mancuer91 | 170,702 | Content Creator | Gaming, Streaming, Soccer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,173
Followers With Bio
4,827
Followers Without Bio
51.73%
% With Bio
48.27%
% 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 3,232 analyzed145,518
Combined Engagement
28,986
Total Likes
116,532
Total Retweets
29,104
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @BornAKang: Her: wake me up in an hour pls Me: *wakes her up in an hour* Her: https://t.co/4SQpsyRPbO
RT @FortniteGame: Speak. Name your wish…8.16.2022 https://t.co/IloBVI07AY
Qué https://t.co/h83IvKbI7V
RT @obrunomota: Waxing Moon 🌙✨ https://t.co/FaiVybagSR
El chico de al lado mía en la grada me ha dado las gracias por ser una referencia Le he preguntado por qué y me ha dicho que voy de naranja y es fácil encontrar a sus amigos Creía que hablaba de Valorant 😭😭😭😭😭 https://t.co/BsT8r3JtM9
Key Insights & Takeaways
She shares personal experiences and reflections, which resonate with her followers. Her content often includes interactions with fans and highlights her authenticity. She uses her platform to discuss topics like personal growth and lifestyle choices.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 86,736
- + 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 @SandraCabeza reveals an well-established Twitter presence with 86,736 followers. The account demonstrates a conversation-first approach, averaging 181.4 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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