Rahmatullah Nabil

Rahmatullah Nabil

@RahmatullahN

UNHCR KBL(1995-2003), Former DIR of National Directorate of Security (NDS), Founder of Presidential Protection Service (PPS) & Help for Afghan Heroes (H4AH)

Afghanistan https://t.co/rsy3FVr7lh Joined 2012-07-26 Date of Analysis: Dec 16, 2025

731,566

Followers

556

Following

5,710

Tweets

215.3

Avg Engagement

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @RahmatullahN'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:2012-07-26
  • Verification:No
  • Location:Afghanistan

Data Summary

  • Tweets Analyzed:3,241
  • Avg Likes per Tweet:150.7
  • Avg Retweets per Tweet:64.6
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,241 tweets

His tweets typically receive a high number of likes, with moderate retweets, indicating broad interest but limited viral potential. Engagement is consistent but not exceptionally high compared to other public figures.

150.7

Avg Likes/Tweet

64.6

Avg Retweets/Tweet

488,280

Total Likes

209,423

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

47

Median Likes

11

Median Retweets

214

75th Percentile

23,974

Top Tweet

0.29

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

23.2%

Original

28.5%

Replies

32.1%

Retweets

16.2%

Quotes

0.0%

Threads

0.9%

With Media

47.0%

With Links

12.8%

With #Tags

38.5%

With @Mentions

1.6%

With Emojis

180

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.23

Reply/Original Ratio

0.51

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

68.1%

Weekday Posts

31.9%

Weekend Posts

Top Hashtags

#afg (163) #afghanistan (37) #afgs (29) #taliban (18) #pak (16) #افغانستان (10) #pakistan (9) #كرونا (8) #stophazaragenocide (6) #newprofilepic (6)

Most Mentioned

@rahmatullahn (191) @help4afgheroes (60) @bsarwary (43) @tolonews (37) @a_siab (33) @visitafg (32) @hashtesubhdaily (30) @etilaatroz (27) @youtube (21) @zalmayzaheer1 (21)

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 3,241 tweets

Content Type Distribution

Content Breakdown

Original Tweets 753 (23%)
Replies 923 (28%)
Retweets 1,039 (32%)
Quote Tweets 526 (16%)

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 1,039 retweets (32% 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 3,241 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 50,000 followers

His audience includes Afghan citizens, international supporters, and political observers interested in Afghan affairs. He also engages with diaspora communities and humanitarian organizations.

Below Average

Audience Quality

39.8%

Suspicion Index

59.8%

Low-Quality %

6

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

73.9%

Empty Bio

65.3%

<10 Tweets

3.2%

Mass Following (>2K)

0.0%

New (<90 days)

71.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

98.2%

No URL

45.7%

<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.

9,001,159

Total Potential Reach

6

Median Follower Reach

30

75th Percentile Reach

1.3%

>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).

11.8%

Creators

5,909 accounts

22.9%

Consumers

11,428 accounts

65.3%

Dormant

32,663 accounts

84

Verified Followers

0.17% of total

1.8%

Professional Bios

founder, dev, analyst, etc.

0.05

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):

Afghanistan (3,090) Pakistan (158) Kabul (134) Kabul Afghanistan (122) کابل (100) افغانستان (98) Islamic Republic of Iran (97) Islamabad, Pakistan (85) Karachi, Pakistan (68) Kabul, Afghanistan (68)

124

Verified Followers

0.12% of total

2,948

Protected Accounts

2.92% of total

1 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
@hinaparvezbutt 2,492,982 Politician Politics, Leadership, Writing
@ZimEye 418,166 Journalist Zimbabwe, Africa, Journalism
@ONUBrasil 383,943 Diplomacy Sustainable Development, Human Rights, Global Goals
@LaurentLamothe 285,005 Politician Haiti, Fatherhood, Philanthropy
@SSscoop475 242,162 Activist World Peace, Civil Rights, Tibetan Buddhism
@sahraakarimi 234,104 Filmmaker culture, change, filmmaker
@kajolmanshad 211,063 Unknown Astrology, Chaos, Gondal
@N_Nadery 196,103 Negotiator Peace, Human Rights, Economic Forum
@AbdulhaiYousaf3 181,207 Influencer -
@DrSanjaysinghK 142,320 Politician Rajput Karni Sena, Shiv Sena, Bajrang Dal

Top Keywords in Follower Bios

afghanistan (1,100) stophazaragenocide (864) love (738) afghan (533) life (488) student (473) university (368) journalist (353) human (341) allah (332)

Top Hashtags in Follower Bios

#stophazaragenocide (832) #afghanistan (25) #hazara (22) #freeafghanistan (21) (20) #letafghangirlslearn (15) #stophazaragenocid (13) #afghan (12) #stophazaragenoside (12) #افغانستان (10)

32,572

Followers With Bio

68,427

Followers Without Bio

32.25%

% With Bio

67.75%

% 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 3,241 analyzed

65,181

Combined Engagement

0

Total Likes

65,181

Total Retweets

13,036

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Politics Diplomacy Humanitarianism Security Governance

Key Insights & Takeaways

He frequently shares messages of goodwill and respect towards India, indicating a strategic focus on diplomatic relations. His tweets include a mix of languages, suggesting a diverse audience and potential outreach to non-English speakers. He promotes humanitarian causes and organizations, highlighting his role in advocacy and support for Afghan heroes.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 731,566
  • + 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 @RahmatullahN reveals an well-established Twitter presence with 731,566 followers. The account demonstrates a conversation-first approach, averaging 215.3 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.

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