252,096
Followers
279
Following
8,935
Tweets
655.4
Avg Engagement
83
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ArslanNaseerCBA'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:2010-10-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,143
- Avg Likes per Tweet:614.0
- Avg Retweets per Tweet:41.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,143 tweetsThe account has a high average engagement rate, indicating a loyal and active audience. The content is well-received, with a significant number of likes and retweets.
614.0
Avg Likes/Tweet
41.3
Avg Retweets/Tweet
1,929,892
Total Likes
129,912
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
37
Median Likes
7
Median Retweets
220
75th Percentile
37,857
Top Tweet
2.6
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
53.9%
Original
14.6%
Replies
25.9%
Retweets
5.6%
Quotes
0.0%
Threads
0.3%
With Media
47.6%
With Links
55.5%
With #Tags
40.3%
With @Mentions
27.6%
With Emojis
111
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.9%
Weekday Posts
33.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,143 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 815 retweets (26% 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 3,143 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 appears to be cricket enthusiasts, especially those interested in Pakistan's performances. The content is likely shared by fans who enjoy sports commentary and humor.
Average
Audience Quality
34.0%
Suspicion Index
45.2%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.9%
Empty Bio
48.5%
<10 Tweets
4.8%
Mass Following (>2K)
0.0%
New (<90 days)
72.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
33.5%
<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.
8,900,137
Total Potential Reach
5
Median Follower Reach
28
75th Percentile Reach
1.6%
>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).
25.4%
Creators
12,718 accounts
26.0%
Consumers
13,007 accounts
48.5%
Dormant
24,275 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):
98
Verified Followers
0.1% of total
6,706
Protected Accounts
6.64% of total
2 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 |
|---|---|---|---|
| @hankypanty | 2,502,474 | Comedian | Comedy, Jokes, Videos |
| @Awad__Algabry | 364,420 | Religious Leader | Islam, Peace, Witnessing |
| @kajolmanshad | 211,071 | Unknown | Astrology, Chaos, Gondal |
| @maryada_maurya | 210,616 | Social Worker | Social work, humanity, politics |
| @Fatii01_ | 190,076 | Travel Blogger | Makkah, Love, Travel |
| @mirhamza_k | 159,226 | Cricketer | Cricket, Karachi Kings, Sussex |
| @Dr_Rafizadeh | 122,311 | Political Analyst | Politics, Business, Science |
| @Hafsa7867867 | 119,434 | - | - |
| @tayyabrajaa | 116,129 | Influencer | - |
| @chaudhry_khaula | 99,312 | Politician | PTI, Tigress, Politics |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,686
Followers With Bio
53,299
Followers Without Bio
47.22%
% With Bio
52.78%
% 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 3,143 analyzed161,693
Combined Engagement
150,922
Total Likes
10,771
Total Retweets
32,339
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
0%
With Links
Topical Analysis:
Great fight Pakistan! Well Played India & Virat Kohli! BTW wo no ball nahi thi ... #PakVsInd
@IrfanPathan Maafi chahta hu sir, final mai puhanch jaein to baat kar leejiye ga ... udar se awaaz nahi a rahi hai ap ki
Fielding se hi pata chal raha hai ke konsay wala Pakistan aaya hai aaj :) #PakvsNz #T20WorldCup
Babar Azam ke chalnay pe Pakistani awaam se bhi zaida, team ka middle order khush hota hai 😁 #PAKvENG #PAKvsEng
Sach baat karni hai bhai chaahay koi naraz ho ya khush .... Shakib was not out! Bad umpiring once again 🤷♂️ #PAKvsBAN
Key Insights & Takeaways
The user often comments on cricket matches, especially involving Pakistan and other teams. They use humor and casual language to engage their audience. Their tweets frequently include hashtags related to specific matches and events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 252,096
- + 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 @ArslanNaseerCBA reveals an well-established Twitter presence with 252,096 followers. The account demonstrates a content-creator strategy, averaging 655.4 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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