SASZAN
Śpiewam i piszę piosenki🎶
121,661
Followers
1,593
Following
65,781
Tweets
1,250.4
Avg Engagement
88
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Saszann'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:2011-02-18
- Verification:No
- Location:[email protected]
Data Summary
- Tweets Analyzed:3,061
- Avg Likes per Tweet:113.5
- Avg Retweets per Tweet:1,136.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,061 tweetsTheir tweets receive an average of 1,120 likes and 780 retweets, indicating strong audience interaction. They often share heartfelt and emotional messages that resonate with their followers.
113.5
Avg Likes/Tweet
1,136.9
Avg Retweets/Tweet
347,393
Total Likes
3,480,144
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
109
Median Likes
13
Median Retweets
204
75th Percentile
237,593
Top Tweet
10.28
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.6%
Original
3.0%
Replies
20.5%
Retweets
5.9%
Quotes
0.0%
Threads
0.1%
With Media
51.1%
With Links
23.7%
With #Tags
25.8%
With @Mentions
28.5%
With Emojis
74
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.29
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 3,061 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 626 retweets (20% 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 3,061 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 followersSaszann's audience likely includes music lovers and fans of celebrities like Harry Styles and Justin Bieber. Their followers are emotionally invested and engaged with their content.
Below Average
Audience Quality
43.9%
Suspicion Index
70.5%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
75.4%
Empty Bio
77.4%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
79.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.2%
No URL
65.5%
<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.
9,061,665
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
10.9%
Creators
5,426 accounts
11.8%
Consumers
5,890 accounts
77.4%
Dormant
38,684 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):
13
Verified Followers
0.01% of total
2,295
Protected Accounts
2.27% of total
8 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 |
|---|---|---|---|
| @JASMINEVILLEGAS | 1,544,199 | Singer | Music, Dreaming, Life |
| @BrooksBeau | 1,403,453 | Entertainer | Janoskians, Snapchat, Instagram |
| @MTVPolska | 866,037 | - | - |
| @joannakrupa | 798,731 | Model | Animal lover, Inner beauty, Modeling |
| @PopWrapped | 500,270 | Entertainment News | Entertainment, Pop-culture, Fandoms |
| @djkingassassin | 472,044 | DJ | Music, Club, Producer |
| @SoundHub | 446,595 | Record Label | Music, Recording, Development |
| @t_dzialowy | 281,910 | Gamer | Gaming, Streaming, Content Creation |
| @Nazaire73 | 249,325 | Artist | Art, Design, Haiti |
| @maddijanemusic | 225,848 | Musician | Music, Shield, Friday |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
31,265
Followers With Bio
69,734
Followers Without Bio
30.96%
% With Bio
69.04%
% 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 3,061 analyzed875,785
Combined Engagement
0
Total Likes
875,785
Total Retweets
175,157
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @ThickLeeyonce: I don't like you https://t.co/91TJ5xypV8
RT @Li4mricee: I think my dog might actually be a human trapped in a dogs body 🤷🏽♂️ https://t.co/ZX62wb4nWL
RT @LeRouge_A: Your man just asked me if I'm ok https://t.co/otNjdbO9vS
RT @justinbieber: My I love you face https://t.co/FjDaOjinwE
RT @Deenaeeee: Demi overdoses, it’s her fault bc she’s a grown woman who chose to do drugs, Mac Miller overdoses and it’s Ariana Grande’s f…
Key Insights & Takeaways
Saszann is deeply passionate about music and celebrities, often expressing strong emotions. They engage with their audience by sharing personal reactions and emotional experiences. Their content often includes references to concerts and fan events, indicating a strong fan base.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 121,661
- + Strong original content creation
- + 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 @Saszann reveals an exceptionally influential Twitter presence with 121,661 followers. The account demonstrates a content-creator strategy, averaging 1,250.4 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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