Sami Aslam
🏏 Professional Cricketer 🇵🇰 🇺🇸 @MLCricket @texassuperkings @GsGPaltan 📧[email protected]
196,484
Followers
13
Following
415
Tweets
167.3
Avg Engagement
63
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @samiaslam999'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:2014-08-07
- Verification:No
- Location:California, USA
Data Summary
- Tweets Analyzed:400
- Avg Likes per Tweet:151.1
- Avg Retweets per Tweet:16.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 400 tweetsHis tweets receive moderate to high engagement, indicating a strong connection with his followers. The engagement is likely driven by his professional status and personal reflections.
151.1
Avg Likes/Tweet
16.3
Avg Retweets/Tweet
60,434
Total Likes
6,503
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
25
Median Likes
4
Median Retweets
172
75th Percentile
3,618
Top Tweet
0.85
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
45.8%
Original
25.8%
Replies
24.5%
Retweets
4.0%
Quotes
0.0%
Threads
0.5%
With Media
42.8%
With Links
21.5%
With #Tags
56.2%
With @Mentions
12.8%
With Emojis
76
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.56
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.8%
Weekday Posts
31.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 400 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 98 retweets (24% 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 400 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 followersHis audience primarily consists of cricket fans and followers interested in his career and personal updates. The audience is likely to be sports enthusiasts and fans of international cricket.
Average
Audience Quality
31.2%
Suspicion Index
30.0%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.3%
Empty Bio
38.6%
<10 Tweets
7.5%
Mass Following (>2K)
0.0%
New (<90 days)
78.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
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.
7,515,105
Total Potential Reach
12
Median Follower Reach
48
75th Percentile Reach
2.0%
>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).
27.7%
Creators
13,853 accounts
33.7%
Consumers
16,858 accounts
38.6%
Dormant
19,289 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):
47
Verified Followers
0.05% of total
4,084
Protected Accounts
4.08% 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 |
|---|---|---|---|
| @SdqJaan | 1,645,752 | Journalist | Journalism, Court Reporting, News Broadcasting |
| @tawarayat | 518,266 | Technologist | technology, community radio, education |
| @aliktareen | 482,311 | Politician | Business, Politics, Women Cricket |
| @Mitch_Savage | 379,716 | Cricketer | Cricket, Fitness, Travel |
| @ceoworld | 333,338 | CEO | business, leadership, journalism |
| @iRashidLatif68 | 322,759 | Cricketer | Cricket, Pakistan, History |
| @BscArmy100x | 299,698 | Crypto Investor | Crypto, Defi, NFTs |
| @HarryGoaz | 235,842 | - | - |
| @InTheWordsOf_CM | 195,464 | Content Editor | Music, Cardiff, Writing |
| @SomersetCCC | 170,749 | Cricket Club | Cricket, County, Club |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,083
Followers With Bio
44,917
Followers Without Bio
55.08%
% With Bio
44.92%
% 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 400 analyzed11,233
Combined Engagement
10,887
Total Likes
346
Total Retweets
2,247
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
To the new beginning 🇺🇸 🏏
Disappointed that I didn't get any chance to be in 35players for NZ tour and last UK tour,even after good last QeD 2019-20trophy, I was one of the most run makers, scored 864 runs(4 100's) average of 78, dropped from the Test squad after not getting a game in my last UK tour 2018
https://t.co/XOH0IT8YZR
Performed my first umrah https://t.co/eLEsgEsuwT
Alhamdulillah very good 1st match of first class season vs central punjab in quaid e azam trophy scoring 243 not out and 50 not out https://t.co/hdrs4yPUsU
Key Insights & Takeaways
He is actively involved in cricket, representing multiple teams and countries. He expresses disappointment over not being selected for certain tours despite his performance. He maintains a professional and personal brand through his social media presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 196,484
- + 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 @samiaslam999 reveals an well-established Twitter presence with 196,484 followers. The account demonstrates a content-creator strategy, averaging 167.3 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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