EXCEL
A British Esports Club | Join our Discord: https://discord.com/invite/excel | #XLWIN
170,806
Followers
411
Following
32,507
Tweets
275.9
Avg Engagement
647
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @EXCEL'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:2014-09-08
- Verification:Yes
- Location:United Kingdom
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:263.4
- Avg Retweets per Tweet:12.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains high average likes and retweets, indicating a loyal and active follower base that engages with the content regularly.
263.4
Avg Likes/Tweet
12.5
Avg Retweets/Tweet
856,045
Total Likes
40,685
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
52
Median Likes
0
Median Retweets
202
75th Percentile
24,503
Top Tweet
1.62
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
39.8%
Original
52.7%
Replies
4.6%
Retweets
2.9%
Quotes
0.0%
Threads
0.3%
With Media
47.5%
With Links
9.5%
With #Tags
62.8%
With @Mentions
36.5%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.32
Reply/Original Ratio
0.63
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.6%
Weekday Posts
29.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 150 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 3,250 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 likely includes esports enthusiasts, gamers, and potential recruits interested in joining the club's Discord community.
Average
Audience Quality
22.7%
Suspicion Index
24.7%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.1%
Empty Bio
16.4%
<10 Tweets
6.5%
Mass Following (>2K)
0.0%
New (<90 days)
63.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.8%
No URL
9.3%
<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.
32,069,677
Total Potential Reach
18
Median Follower Reach
76
75th Percentile Reach
2.8%
>1K followers
0.4%
>10K followers
0.1%
>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).
60.5%
Creators
30,261 accounts
23.1%
Consumers
11,553 accounts
16.4%
Dormant
8,186 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):
486
Verified Followers
0.48% of total
6,649
Protected Accounts
6.58% of total
6 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 | 14,100,892 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LoLUKN | 1,849,292 | Gaming | Gaming, Esports, Community |
| @HyperX | 1,223,573 | Gaming | Gaming, Community, Support |
| @dele_official | 1,104,364 | Footballer | Football, Athlete, Gaming |
| @LeBronJames | 1,009,591 | - | - |
| @bbcthree | 742,274 | Media | TV, entertainment, humor |
| @Astralisgg | 700,878 | Esports Team | esports, gaming, competition |
| @CoolerMaster | 675,452 | PC Hardware | PC hardware, memes, cool products |
| @Wolfiez | 561,810 | Professional Gamer | Fortnite, Gaming, Esports |
| @ChrissyCostanza | 476,512 | Musician | Music, EP, Streaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,985
Followers With Bio
37,009
Followers Without Bio
63.36%
% With Bio
36.64%
% 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 3,250 analyzed68,576
Combined Engagement
63,863
Total Likes
4,713
Total Retweets
13,715
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
4 more days of snowballs ❄️ https://t.co/e77ywVhhHn
NOT THIS TIME. https://t.co/MpTmF0Re3B
When did you first start playing League? https://t.co/NLBInWrgGD
We're not jealous... https://t.co/X50JGADBXh
Can't wait to pick these up. Instant skill increase 🔥 https://t.co/jFneRXlMSr
Key Insights & Takeaways
The content often includes promotional links and community engagement efforts, suggesting a focus on growing the Discord community. The use of hashtags like #XLWIN indicates brand identity and community building. Top tweets highlight both event-related content and direct engagement with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 170,806
- + 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 @EXCEL reveals an well-established Twitter presence with 170,806 followers. The account demonstrates a conversation-first approach, averaging 275.9 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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