Serenexo
19
99,887
Followers
568
Following
9,758
Tweets
65.3
Avg Engagement
23
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Serenexo1'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:2016-04-29
- Verification:No
- Location:Reus, Catalunya
Data Summary
- Tweets Analyzed:596
- Avg Likes per Tweet:64.5
- Avg Retweets per Tweet:0.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 596 tweetsThe user's tweets receive moderate engagement, with an average of 622 likes and 11 retweets per tweet.
64.5
Avg Likes/Tweet
0.8
Avg Retweets/Tweet
38,434
Total Likes
477
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
30
Median Likes
0
Median Retweets
64
75th Percentile
1,266
Top Tweet
0.65
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
5.7%
Original
93.3%
Replies
0.5%
Retweets
0.5%
Quotes
0.0%
Threads
0.2%
With Media
11.4%
With Links
0.7%
With #Tags
93.1%
With @Mentions
11.7%
With Emojis
49
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
16.35
Reply/Original Ratio
1.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.0%
Weekday Posts
30.0%
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 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 3 retweets (1% 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 followersThe audience appears to be interested in gaming, particularly in competitive scenes and personal achievements.
Average
Audience Quality
34.0%
Suspicion Index
37.9%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.3%
Empty Bio
50.8%
<10 Tweets
1.2%
Mass Following (>2K)
0.0%
New (<90 days)
82.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.9%
No URL
31.5%
<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.
7,191,079
Total Potential Reach
2
Median Follower Reach
9
75th Percentile Reach
0.6%
>1K followers
0.2%
>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).
19.8%
Creators
9,884 accounts
29.4%
Consumers
14,716 accounts
50.8%
Dormant
25,400 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):
125
Verified Followers
0.12% of total
4,505
Protected Accounts
4.46% 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 |
|---|---|---|---|
| @Ampeterby7 | 1,685,528 | Influencer | Reconozco, Ampeter, contacto |
| @Alvaro845 | 886,522 | YouTuber | Mobile gaming, TeamQuesoGG, Business |
| @paracetamor | 796,200 | Streamer | Gaming, Esports, Streaming |
| @JeltyTV | 645,619 | Gamer | Fortnite, eSports, YouTube |
| @taysonFN | 515,444 | Professional Gamer | Fortnite, eSports, Competitive gaming |
| @BENIJU03 | 464,358 | Esports Player | Esports, gaming, cats |
| @ItsVicens | 464,223 | Streamer/Youtuber | Gaming, Content Creation, Entertainment |
| @RickyEdit | 450,847 | Editor | Gaming, Media, Clan |
| @__ggv_ | 362,594 | Influencers | Gaming, Fashion, Love |
| @alliegetv | 355,183 | Professional Gamer | Esports, Gaming, Content Creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,359
Followers With Bio
43,639
Followers Without Bio
56.79%
% With Bio
43.21%
% 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 analyzed3,944
Combined Engagement
3,923
Total Likes
21
Total Retweets
789
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
VERIFICADO✅😳
Despues de casi 2 años toca decir adios, gracias por todo @TeamQuesoGG ❤️ https://t.co/FwcskXx6BQ
Me acabo de enterar que con el que he jugado la cash cup hoy era un pavo que se hacia pasar por un guiri no me lo puedo creer
La primera vez en una año y medio que no paso a unos opens de fcs y me da completamente igual, triste que esto haya llegado este punto🤒
@llobeti4 Yo no voy a tocar el juego pero si quieres jugamos la fncs 🧐
Key Insights & Takeaways
The user frequently shares personal gaming experiences and frustrations. They mention specific events like the Cash Cup and Open tournaments, indicating a focus on competitive gaming. There is a hint of disappointment and emotional response to recent outcomes, suggesting a deeper connection to their gaming journey.
Strengths
- + Established follower base of 99,887
- + 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 @Serenexo1 reveals an growing Twitter presence with 99,887 followers. The account demonstrates a conversation-first approach, averaging 65.3 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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