955.259
Followers
1.958
Following
106.375
Tweets
737,0
Avg Engagement
688
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @_elan_'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:2009-03-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.227
- Avg Likes per Tweet:500,0
- Avg Retweets per Tweet:237,1
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.227 tweetsTheir tweets receive high engagement, with an average of 27k likes and 3k retweets per post.
500,0
Avg Likes/Tweet
237,1
Avg Retweets/Tweet
1.613.436
Total Likes
765.004
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
0
Median Retweets
89
75th Percentile
141.960
Top Tweet
0,77
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
16,8%
Original
79,0%
Replies
2,8%
Retweets
1,4%
Quotes
0,0%
Threads
0,1%
With Media
26,5%
With Links
4,0%
With #Tags
81,6%
With @Mentions
52,6%
With Emojis
55
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4,7
Reply/Original Ratio
0,51
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81,6%
Weekday Posts
18,4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.227 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 90 retweets (3% 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 3.227 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 followersTheir audience likely includes Spanish-speaking fans of movies, sports, and pop culture.
Average
Audience Quality
23,8%
Suspicion Index
35,9%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48,1%
Empty Bio
31,4%
<10 Tweets
3,4%
Mass Following (>2K)
0,0%
New (<90 days)
48,7%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,8%
No URL
23,7%
<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.
38.704.213
Total Potential Reach
16
Median Follower Reach
99
75th Percentile Reach
3,1%
>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).
50,3%
Creators
25.150 accounts
18,3%
Consumers
9.148 accounts
31,4%
Dormant
15.702 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):
146
Verified Followers
0.15% of total
12.980
Protected Accounts
12.98% of total
5 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 | 14.105.315 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Miguel_layun | 3.245.177 | Futbolista | Futbol, Gaming, Marketing |
| @catturd2 | 1.676.505 | Satirist | Politics, Podcasting, Writing |
| @Valeria_Martell | 1.538.468 | Influencer | Fashion, Mexico, Contact |
| @solamentejoy | 780.627 | Singer | Music, Movies, Animals |
| @jerofreixas | 516.182 | Comedian | Deporte, Humor, Videos |
| @Moreno | 430.228 | Influencer | Business, Manager, Serious |
| @MilvaGauto | 404.340 | Media Personality | tv, radio, música |
| @VictorGOfficial | 381.624 | Influencer | digital marketing, content creation, entrepreneurship |
| @kv_eduardo | 373.575 | Comedian | Feo, Fuerte, Formal |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51.239
Followers With Bio
48.761
Followers Without Bio
51.24%
% With Bio
48.76%
% 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 3.227 analyzed409.995
Combined Engagement
85.386
Total Likes
324.609
Total Retweets
81.999
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @sanbenito: y empezar el 2023 bien cabrón...
Ben Affleck siempre trae cara de que lo obligan a ir a todo 🤣 https://t.co/vLqewQ1Alh
RT @DAVID_FIRTH: I NEED to know who made this!! https://t.co/U1K7UqRexw
RT @jordonr: Update on Damar: His vitals are back to normal and they have put him to sleep to put a breathing tube down his throat. They a…
RT @TerribleMaps: When a band announces a world tour https://t.co/r7lvwhgOO1
Key Insights & Takeaways
They use humor and sarcasm to engage their audience They often reference popular culture and sports events They maintain a casual and relatable tone in their posts
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 955.259
- + 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 @_elan_ reveals an well-established Twitter presence with 955.259 followers. The account demonstrates a conversation-first approach, averaging 737,0 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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