Sharjeel Inam Memon
Personal Views
635,385
Followers
1,590
Following
6,324
Tweets
739.2
Avg Engagement
201
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sharjeelinam'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:2013-01-10
- Verification:No
- Location:Hyderabad ,Pakistan
Data Summary
- Tweets Analyzed:3,216
- Avg Likes per Tweet:326.3
- Avg Retweets per Tweet:413.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,216 tweetsThe account shows high engagement with an average of 5,368 likes and 3,990 retweets per tweet. This suggests a dedicated and active audience interested in the content.
326.3
Avg Likes/Tweet
413.0
Avg Retweets/Tweet
1,049,261
Total Likes
1,328,143
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
170
Median Likes
154
Median Retweets
723
75th Percentile
75,207
Top Tweet
1.16
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
56.6%
Original
2.3%
Replies
34.7%
Retweets
6.4%
Quotes
0.0%
Threads
0.1%
With Media
60.0%
With Links
21.3%
With #Tags
38.7%
With @Mentions
15.5%
With Emojis
131
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.6%
Weekday Posts
31.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,216 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 1,117 retweets (35% 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 3,216 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 individuals interested in politics, human rights, and constitutional law. They may be from Pakistan or have an interest in its political history.
Below Average
Audience Quality
48.6%
Suspicion Index
71.0%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.7%
Empty Bio
97.3%
<10 Tweets
0.3%
Mass Following (>2K)
0.0%
New (<90 days)
98.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
99.8%
No URL
96.4%
<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.
873,532
Total Potential Reach
0
Median Follower Reach
0
75th Percentile Reach
0.2%
>1K followers
0.0%
>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).
1.1%
Creators
549 accounts
1.6%
Consumers
804 accounts
97.3%
Dormant
48,647 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):
21
Verified Followers
0.02% of total
229
Protected Accounts
0.23% of total
0 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 |
|---|---|---|---|
| @KSA__20__30 | 446,980 | - | - |
| @MarkWOfficial | 162,364 | Musician | Music, Travel, Fitness |
| @NoorulHudaShah | 119,683 | Writer | #writer, #journalist, #author |
| @BOLOPakistann | 94,986 | - | - |
| @nadyaaGabol | 63,894 | Politician | Politics, Pakistan, PPP |
| @LegalWeed4SC | 52,894 | Advocate | Politics, Legalization, Resistance |
| @hasnain_kh | 48,626 | - | - |
| @donkorliony | 47,940 | Writer | Arabic literature, Last Don, Arab heritage |
| @Stephenheid | 41,130 | - | - |
| @Monajaved9 | 38,095 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,096
Followers With Bio
45,901
Followers Without Bio
54.55%
% With Bio
45.45%
% 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 3,216 analyzed132,553
Combined Engagement
16,594
Total Likes
115,959
Total Retweets
26,511
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @Malala: Hard to express my joy and gratitude right now as I completed my Philosophy, Politics and Economics degree at Oxford. I don’t k…
RT @historyinmemes: The best shot in the history of golf https://t.co/AKuraYJALL
Nation is still waiting for the justice on Quaid e Awam Shaheed Zulfiqar Ali Bhutto’s Judicial murder. #SalamBhutto https://t.co/sbYbr283Aq
Really thankful for the Karachi Division’s volunteers of #PPPDigital for attending the event in large number. Next destination is #Multan and #Lahore. Inshallah on 28th April will host the event in Multan and 30th April in Lahore. Plz get ready 👍 Bhutto Dai Narai Wajan Gai ✌️ htt
#NewProfilePic https://t.co/oSqJsuMlyR
Key Insights & Takeaways
The user frequently discusses historical and political justice issues, particularly related to Bhutto and the constitution. They use hashtags to highlight key themes such as democracy and human rights. Their content is likely aimed at raising awareness and sparking debate on constitutional and political matters.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 635,385
- + 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 @sharjeelinam reveals an well-established Twitter presence with 635,385 followers. The account demonstrates a content-creator strategy, averaging 739.2 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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