smdani 🌉
👉👉👉 https://smdani.com/ 👈👈👈
97,947
Followers
179
Following
117
Tweets
99.7
Avg Engagement
383
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @smdani'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:2008-06-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:41
- Avg Likes per Tweet:96.2
- Avg Retweets per Tweet:3.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 41 tweetsOn average, tweets receive around 336 likes and 12 retweets, showing a steady but not overwhelming level of engagement.
96.2
Avg Likes/Tweet
3.5
Avg Retweets/Tweet
3,943
Total Likes
145
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
0
Median Retweets
130
75th Percentile
757
Top Tweet
1.02
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
9.8%
Original
82.9%
Replies
7.3%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
14.6%
With Links
4.9%
With #Tags
82.9%
With @Mentions
19.5%
With Emojis
92
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.5
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
58.5%
Weekday Posts
41.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 41 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 (7% 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 41 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 10,000 followersThe audience appears to be interested in religious discussions and lifestyle content. The user's engagement metrics suggest a moderate level of interaction with their followers.
Average
Audience Quality
27.4%
Suspicion Index
30.6%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.6%
Empty Bio
31.1%
<10 Tweets
3.6%
Mass Following (>2K)
0.0%
New (<90 days)
72.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
20.7%
<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.
37,732,489
Total Potential Reach
9
Median Follower Reach
45
75th Percentile Reach
1.9%
>1K followers
0.3%
>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).
45.0%
Creators
4,501 accounts
23.9%
Consumers
2,386 accounts
31.1%
Dormant
3,113 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):
19
Verified Followers
0.19% of total
899
Protected Accounts
8.99% of total
4 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 |
|---|---|---|---|
| @Rubiu5 | 21,251,588 | Youtuber | Gatos, Hentai, Obesos |
| @JohnCena | 14,092,901 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jaimelorente | 347,736 | - | - |
| @MovistareSports | 117,398 | Esports Marketing | streams, esports, gaming |
| @Dazrbn | 114,972 | Music Producer | Music, Spain, Contact |
| @Videopatas | 92,190 | YouTubers | Youtube, Branded Content, Twitch |
| @Le_Dudette | 69,538 | Influencer | Humor, Age, Contact |
| @Laxxuz25 | 65,116 | Content Creator | Twitch, Contenido, Leo |
| @S4vitar | 63,544 | Hacker | Hacking, Ciberseguridad, Twitch |
| @leonidas_esp | 57,469 | Streamer | Gaming, Streaming, Roleplay |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,943
Followers With Bio
4,057
Followers Without Bio
59.43%
% With Bio
40.57%
% 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 41 analyzed2,675
Combined Engagement
2,592
Total Likes
83
Total Retweets
535
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
ROLEX >>> CASIO
@LuzuGames Pero Luzuuu, ¿dónde te sentaste?
No deja de sorprenderme el hecho de seguir encontrando CRISTIANOS que interpretan los relatos de la CREACIÓN del GÉNESIS de forma LITERAL. Esto supone un gran obstáculo para el diálogo FE - CIENCIA.
¿Es posible que la invasión de Ucrania por parte de Rusia tenga también motivaciones religiosas de fondo? https://t.co/wcxlXwDOoi
@elxokas No sé qué estoy viendo
Key Insights & Takeaways
The user frequently engages with topics related to religion and interpretation of biblical texts. They also share content related to gaming and personal interactions. Their tweets often reflect a critical view of literal interpretations of religious texts.
Strengths
- + Established follower base of 97,947
- + 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 @smdani reveals an growing Twitter presence with 97,947 followers. The account demonstrates a conversation-first approach, averaging 99.7 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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