183,098
Followers
442
Following
32,951
Tweets
1,502.1
Avg Engagement
100
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Exidax'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:2012-11-30
- Verification:No
- Location:Andorra la Vieja, Andorra
Data Summary
- Tweets Analyzed:3,173
- Avg Likes per Tweet:73.9
- Avg Retweets per Tweet:1,428.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,173 tweetsExidax's tweets receive a high number of likes, suggesting a loyal and active audience. Retweets are also relatively common, indicating that their content is shared and appreciated by followers.
73.9
Avg Likes/Tweet
1,428.2
Avg Retweets/Tweet
234,349
Total Likes
4,531,791
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
21
Median Likes
3
Median Retweets
113
75th Percentile
3,000,233
Top Tweet
8.2
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
26.4%
Original
69.2%
Replies
3.8%
Retweets
0.6%
Quotes
0.0%
Threads
0.1%
With Media
20.7%
With Links
1.6%
With #Tags
75.4%
With @Mentions
27.3%
With Emojis
59
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.62
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.2%
Weekday Posts
28.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,173 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 120 retweets (4% 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 3,173 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 fans and followers who engage with their content, possibly in Spanish-speaking regions given the use of Spanish phrases. Their followers may be interested in nostalgic content and personal expressions.
Average
Audience Quality
34.4%
Suspicion Index
40.8%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.8%
Empty Bio
52.6%
<10 Tweets
1.9%
Mass Following (>2K)
0.0%
New (<90 days)
78.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.9%
No URL
32.8%
<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.
25,618,985
Total Potential Reach
2
Median Follower Reach
8
75th Percentile Reach
0.8%
>1K followers
0.2%
>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).
18.0%
Creators
9,023 accounts
29.3%
Consumers
14,664 accounts
52.6%
Dormant
26,313 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):
52
Verified Followers
0.05% of total
3,488
Protected Accounts
3.49% 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 |
|---|---|---|---|
| @TheGrefg | 7,792,313 | Content Creator | Gaming, Content Creation, Esports |
| @barcagameryt | 2,355,148 | Content Creator | Gaming, Esports, Streaming |
| @6BillionPeople | 2,033,588 | - | - |
| @MichelPesquera | 1,904,643 | Adventurer | Mountaineer, MTB, Scuba diver |
| @gusrochaa | 1,793,298 | Influencer | friendship, email, Brazil |
| @Ampeterby7 | 1,685,839 | Influencer | Reconozco, Ampeter, contacto |
| @rogerhamilton | 928,191 | Entrepreneur | education, entrepreneurship, futurism |
| @Alvaro845 | 885,482 | YouTuber | Mobile gaming, TeamQuesoGG, Business |
| @paracetamor | 796,569 | Streamer | Gaming, Esports, Streaming |
| @LakshartNia | 656,897 | Content Creator | Twitch, KOI, Content Creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,309
Followers With Bio
53,691
Followers Without Bio
46.31%
% With Bio
53.69%
% 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 tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,173 analyzed4,360,338
Combined Engagement
0
Total Likes
4,360,338
Total Retweets
872,068
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @carterjwm: HELP ME PLEASE. A MAN NEEDS HIS NUGGS https://t.co/4SrfHmEMo3
RT @Rubiu5: LIMONADA 2.0 🗿
RT @nopparat: เทพเจ้าฮัสกี้มาจุติ https://t.co/89MObARFEQ
RT @ffoottooss: Que GRANDE este hombre!! https://t.co/OoO3ixJIsj
RT @KRLS: Demanes diàleg i et responen posant el 155 damunt la taula. Entesos.
Key Insights & Takeaways
Their top tweets often include emotional expressions and nostalgic references, which may resonate strongly with their audience. They have a verified status of 0.1%, suggesting limited official verification. Their bio is empty, which may indicate a focus on content over personal branding.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 183,098
- + 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 @Exidax reveals an exceptionally influential Twitter presence with 183,098 followers. The account demonstrates a conversation-first approach, averaging 1,502.1 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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