Ceice
Professional Fortnite Player • Co-Founder @FourOneOneFour
197,279
Followers
2,059
Following
17,566
Tweets
290.8
Avg Engagement
194
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Ceice'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:2011-03-27
- Verification:No
- Location:Dallas, TX
Data Summary
- Tweets Analyzed:3,204
- Avg Likes per Tweet:267.9
- Avg Retweets per Tweet:22.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,204 tweetsCeice's tweets receive high engagement, with an average of 50k likes and 5k retweets, indicating strong audience interaction. Their content is both entertaining and shareable, driving consistent engagement.
267.9
Avg Likes/Tweet
22.9
Avg Retweets/Tweet
858,376
Total Likes
73,299
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
0
Median Retweets
81
75th Percentile
289,955
Top Tweet
1.47
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
26.3%
Original
69.9%
Replies
2.3%
Retweets
1.5%
Quotes
0.0%
Threads
0.1%
With Media
27.2%
With Links
2.7%
With #Tags
74.1%
With @Mentions
15.2%
With Emojis
46
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.66
Reply/Original Ratio
0.64
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,204 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 74 retweets (2% 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 3,204 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 followersCeice's audience primarily consists of Fortnite players and gaming enthusiasts who appreciate humor and entertainment. Their content also appeals to a broader audience interested in sports and social issues.
Average
Audience Quality
26.9%
Suspicion Index
27.7%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.9%
Empty Bio
33.2%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
69.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.6%
No URL
20.6%
<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.
50,069,021
Total Potential Reach
11
Median Follower Reach
62
75th Percentile Reach
4.3%
>1K followers
0.8%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
39.5%
Creators
19,746 accounts
27.3%
Consumers
13,639 accounts
33.2%
Dormant
16,615 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):
494
Verified Followers
0.49% of total
4,997
Protected Accounts
4.95% 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 |
|---|---|---|---|
| @JohnCena | 14,099,854 | Wrestler | Wrestling, Motivation, Self-promotion |
| @werevertumorro | 8,714,654 | Influencer | Gaming, Comedy, Email Marketing |
| @EzekielElliott | 2,172,454 | Athlete | Football, Running, Ohio State |
| @FaZeBlaze | 1,761,378 | Gamer | gaming, esports, content creation |
| @dakotaz | 1,518,887 | Gamer | Gaming, Energy drinks, Streaming |
| @iFireMonkey | 1,274,295 | - | - |
| @NickEh30 | 1,164,253 | Gamer | Gaming, Streaming, Content Creation |
| @6ar7k | 1,044,738 | Tech Enthusiast | iPhone, iPad, Jailbreak |
| @vinniehacker | 907,749 | Influencer | Gaming, Content Creation, Fashion |
| @LaurenAlexis_x | 773,784 | Content creator | NSFW content, Instagram, YouTube |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,103
Followers With Bio
36,892
Followers Without Bio
63.47%
% With Bio
36.53%
% 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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Export full follower list with profile details, bios, locations, and follower counts as CSV.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,204 analyzed508,955
Combined Engagement
452,849
Total Likes
56,106
Total Retweets
101,791
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
LMFAOOO https://t.co/jYBzRrlEmi
speed is different bro 😭 https://t.co/jznrba8WKx
Mexico reviving Ochoa every 4 years for the World Cup https://t.co/ISPhvt85nR
Hit the ❤️ for a ⚡️ #BlackAdam https://t.co/YyNKinUu10
Like this tweet for an INSANE animation! #HOTD https://t.co/YjnounCRJ9
Key Insights & Takeaways
Ceice uses humor and relatability to connect with their audience Their content often blends gaming with broader social topics They maintain a balance between entertainment and personal branding
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 197,279
- + 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 @Ceice reveals an well-established Twitter presence with 197,279 followers. The account demonstrates a conversation-first approach, averaging 290.8 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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