Safwan AhmedMia
▶️ Content Creator #Tech | #Travel | #Memes 🎙 Podcast Host @SuperSafSpeaks
507,813
Followers
934
Following
40,222
Tweets
741.2
Avg Engagement
1,395
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SuperSaf'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:2009-04-01
- Verification:No
- Location:Leicester, UK
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:612.9
- Avg Retweets per Tweet:128.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsTheir tweets consistently receive high engagement, with an average of 40k likes and 1.4k retweets. The use of interactive prompts like 'Hit Like' encourages user participation and boosts visibility.
612.9
Avg Likes/Tweet
128.3
Avg Retweets/Tweet
1,992,005
Total Likes
416,986
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
97
Median Likes
1
Median Retweets
660
75th Percentile
249,451
Top Tweet
1.46
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
34.8%
Original
60.2%
Replies
3.1%
Retweets
1.9%
Quotes
0.0%
Threads
1.9%
With Media
45.0%
With Links
20.4%
With #Tags
68.6%
With @Mentions
54.3%
With Emojis
85
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.73
Reply/Original Ratio
0.61
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.7%
Weekday Posts
23.3%
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 101 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 3,250 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 followersSuperSaf's audience is primarily interested in technology, travel, and humor, with a strong presence on Twitter. Their followers engage actively with their content, indicating a loyal and interactive fan base.
Average
Audience Quality
34.4%
Suspicion Index
41.8%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.5%
Empty Bio
45.7%
<10 Tweets
9.7%
Mass Following (>2K)
0.0%
New (<90 days)
74.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
31.2%
<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.
29,056,096
Total Potential Reach
9
Median Follower Reach
54
75th Percentile Reach
2.1%
>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).
28.4%
Creators
14,211 accounts
25.9%
Consumers
12,944 accounts
45.7%
Dormant
22,845 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):
738
Verified Followers
0.73% of total
10,507
Protected Accounts
10.4% of total
3 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 | 14,104,398 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LeBronJames | 1,004,996 | - | - |
| @Haqeeqat_TV | 882,476 | Media Personality | Pakistan, YouTube, News |
| @SleepSkee | 711,175 | Musician | Music, Independent, Artist |
| @Rene | 604,576 | Influencer | Good vibes, positivity, wellness |
| @PopWrapped | 500,853 | Entertainment News | Entertainment, Pop-culture, Fandoms |
| @THE_THEO_FORD | 469,572 | - | - |
| @Scobleizer | 442,919 | Music Producer | Music, Metaverse, Dolby Atmos |
| @UpliftingQuotes | 432,071 | Inspirational Speaker | Inspirational, Motivational, Positive |
| @Jagnarok | 401,549 | Wrestling Fan | Wrestling, ProudFather, LiamOReillyGuy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,329
Followers With Bio
48,670
Followers Without Bio
51.81%
% With Bio
48.19%
% 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 3,250 analyzed454,179
Combined Engagement
283,662
Total Likes
170,517
Total Retweets
90,836
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
Hit Like, see what happens 😉 #AppleEvent https://t.co/69hoG3Jyqi
RT @ChrChristensen: 26 years ago, a gunman entered Dunblane Primary School in Scotland, killing 16 kids and a teacher. The UK govt responde…
Hit Like, see what happens 😉 #AppleEvent https://t.co/TrTa6lKibj
RT @MarkRuffalo: Over 30 children killed. Mothers dead. Hundreds injured. We are on the brink of a full-scale war. Sanctions on South Afric…
RT @MarkRuffalo: 1500 Palestinians face expulsion in #Jerusalem. 200 protesters have been injured. 9 children have been killed. Sanctions o…
Key Insights & Takeaways
SuperSaf's content is highly interactive and encourages user engagement through prompts like 'Hit Like'. Their tweets often revolve around major tech events, which aligns with their niche and interests. They leverage viral trends and hashtags to maximize reach and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 507,813
- + 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 @SuperSaf reveals an well-established Twitter presence with 507,813 followers. The account demonstrates a conversation-first approach, averaging 741.2 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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