Muhammad Asim Naseer

Muhammad Asim Naseer

@AsimNaseer81

Special Correspondent@SAMAATV Exp of 20 years as Broadcast Journalist Served @geonews_urdu a decade rest in @NeoNewsUR@BolNewsOfficial,@gnnhd.tv,https://samaa.tv/

Pakistan https://www.samaa.tv/author/asimnaseer/ Joined 2010-10-18 Date of Analysis: Dec 16, 2025

11,751

Followers

799

Following

17,306

Tweets

268.8

Avg Engagement

23

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @AsimNaseer81'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: Mid-Tier (10K+)
  • Account Age:2010-10-18
  • Verification:No
  • Location:Pakistan

Data Summary

  • Tweets Analyzed:598
  • Avg Likes per Tweet:32.2
  • Avg Retweets per Tweet:236.6
  • Followers Analyzed:9,337

Engagement Analysis

Based on 598 tweets

His tweets generally receive a moderate level of engagement, with an average of 690 likes and 331 retweets per tweet. The engagement rate suggests a dedicated but not extremely active audience.

32.2

Avg Likes/Tweet

236.6

Avg Retweets/Tweet

19,258

Total Likes

141,506

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

6

Median Retweets

121

75th Percentile

16,065

Top Tweet

22.88

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

28.3%

Original

18.9%

Replies

41.0%

Retweets

11.9%

Quotes

0.0%

Threads

0.0%

With Media

37.1%

With Links

13.0%

With #Tags

56.9%

With @Mentions

2.3%

With Emojis

134

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.67

Reply/Original Ratio

0.29

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

75.3%

Weekday Posts

24.7%

Weekend Posts

Top Hashtags

#quran_thedivinebook (7) #زمان_پارک (6) #quran (5) #pakistan (5) #imrankhan (4) #nawazsharif (3) #samaatv (3) #lahore (3) #انصاف (3) #psl2023 (3)

Most Mentioned

@wabbasi007 (30) @tasbihistighfar (23) @abduljabbarisb (20) @maryamnsharif (13) @realrazidada (12) @tanzilgillani (9) @presidentcpne (7) @aliwaqarsindhu (7) @khurramshahzpk (7) @amjadmalik786 (6)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 598 tweets

Content Type Distribution

Content Breakdown

Original Tweets 169 (28%)
Replies 113 (19%)
Retweets 245 (41%)
Quote Tweets 71 (12%)

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 245 retweets (41% 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 598 tweets

Engagement 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 9,337 followers

His audience appears to be primarily interested in political and social developments in Pakistan, with a focus on regional issues and media coverage. The audience is likely composed of news consumers and political observers.

Average

Audience Quality

21.2%

Suspicion Index

22.7%

Low-Quality %

151

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

38.7%

Empty Bio

11.7%

<10 Tweets

27.0%

Mass Following (>2K)

0.0%

New (<90 days)

35.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.7%

No URL

6.7%

<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 Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

56,500,327

Total Potential Reach

151

Median Follower Reach

494

75th Percentile Reach

14.0%

>1K followers

2.2%

>10K followers

0.7%

>50K followers

0.5%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

72.3%

Creators

6,747 accounts

16.0%

Consumers

1,493 accounts

11.7%

Dormant

1,097 accounts

143

Verified Followers

1.53% of total

9.5%

Professional Bios

founder, dev, analyst, etc.

0.16

Median Follow Ratio

follower/following

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):

Lahore, Pakistan (725) Pakistan (493) Punjab, Pakistan (281) Islamabad, Pakistan (241) Karachi, Pakistan (219) Lahore (117) Islamabad (77) Rawalpindi, Pakistan (56) Dubai, United Arab Emirates (49) Multan, Pakistan (49)

143

Verified Followers

1.53% of total

568

Protected Accounts

6.08% 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
@JohnCena 14,105,748 Wrestler Wrestling, Motivation, Self-promotion
@MaryamNSharif 8,006,342 Politician Politics, Courage, Fortune
@SAMAATV 3,023,092 News Broadcaster News, Sports, Money
@hinaparvezbutt 2,483,029 Politician Politics, Leadership, Writing
@KlasraRauf 2,370,251 Journalist Politics, Literature, Translation
@zlj517 1,997,332 Spokesman Geopolitics, Diplomacy, Communication
@SSEHBAI1 1,815,922 Journalist journalism, independent, personal views
@NazBaloch_ 1,668,052 Politician Politics, Writing, Philanthropy
@AamirLiaquat 1,207,342 Politician Politics, Debating, Influential
@sharjeelinam 984,703 Unknown Personal Views

Top Keywords in Follower Bios

pakistan (457) pmln (314) love (257) journalist (250) social (231) media (220) pakistani (210) news (194) proud (179) student (156)

Top Hashtags in Follower Bios

#pmln (38) #pakistan (20) #tlp (13) #journalist (10) #pakistani (9) #writer (6) #cricket (6) #لبیک (5) #entrepreneur (5) #social (4)

5,728

Followers With Bio

3,609

Followers Without Bio

61.35%

% With Bio

38.65%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 598 analyzed

54,285

Combined Engagement

0

Total Likes

54,285

Total Retweets

10,857

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Politics Media Social Issues Inflation Political Analysis

Key Insights & Takeaways

His tweets often highlight political and economic challenges in Pakistan, such as inflation and shortages during Ramadan. He frequently references political figures and events, suggesting a focus on current affairs and political analysis. His content seems to be aimed at informing and engaging an audience interested in media and political developments in the country.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 11,751
  • + 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 @AsimNaseer81 reveals an well-established Twitter presence with 11,751 followers. The account demonstrates a content-creator strategy, averaging 268.8 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025