Akhuwat

Akhuwat

@Akhuwat

Pakistan’s largest interest free Microfinance organization. We envision a poverty free society built on the principles of compassion & mutual support.

Pakistan https://www.akhuwat.org.pk/ Joined 2010-01-01 Date of Analysis: Dec 16, 2025

112,027

Followers

22

Following

4,636

Tweets

114.0

Avg Engagement

68

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Akhuwat'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:2010-01-01
  • Verification:No
  • Location:Pakistan

Data Summary

  • Tweets Analyzed:500
  • Avg Likes per Tweet:58.1
  • Avg Retweets per Tweet:55.9
  • Followers Analyzed:50,000

Engagement Analysis

Based on 500 tweets

Average engagement per tweet is 619 likes and 233 retweets, indicating a moderately engaged audience. The content often includes hashtags and links, which may drive further interaction and awareness.

58.1

Avg Likes/Tweet

55.9

Avg Retweets/Tweet

29,053

Total Likes

27,943

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

42

Median Likes

19

Median Retweets

101

75th Percentile

4,790

Top Tweet

1.02

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

81.4%

Original

1.8%

Replies

16.2%

Retweets

0.6%

Quotes

0.0%

Threads

0.0%

With Media

85.0%

With Links

66.6%

With #Tags

23.2%

With @Mentions

0.6%

With Emojis

205

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.02

Reply/Original Ratio

0.04

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

78.4%

Weekday Posts

21.6%

Weekend Posts

Top Hashtags

#akhuwat (306) #mawakhat (217) #islamicmicrofinance (85) #akhuwatuniversity (15) #educationforall (13) #8988 (13) #interestfreeloan (10) #floodrehabilitation (9) #interestfreeloans (8) #donateyourzakat (7)

Most Mentioned

@dramjadsaqib (53) @dramjadsaqib1 (28) @akhuwat (12) @saleemranjha (5) @ntunio (3) @abubakrch (3) @marifanis (2) @imrankhanpti (2) @thebankofpunjab (2) @statebank_pak (2)

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 500 tweets

Content Type Distribution

Content Breakdown

Original Tweets 407 (81%)
Replies 9 (2%)
Retweets 81 (16%)
Quote Tweets 3 (1%)

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 81 retweets (16% 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 500 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

The audience primarily consists of individuals and organizations interested in microfinance, poverty alleviation, and social impact. They are likely policymakers, donors, and community leaders seeking to support financial inclusion initiatives.

Average

Audience Quality

24.1%

Suspicion Index

31.5%

Low-Quality %

24

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

49.9%

Empty Bio

23.6%

<10 Tweets

7.0%

Mass Following (>2K)

0.0%

New (<90 days)

54.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

94.0%

No URL

13.0%

<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.

15,857,015

Total Potential Reach

24

Median Follower Reach

94

75th Percentile Reach

3.4%

>1K followers

0.2%

>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).

46.7%

Creators

23,326 accounts

29.8%

Consumers

14,895 accounts

23.6%

Dormant

11,779 accounts

83

Verified Followers

0.17% of total

6.2%

Professional Bios

founder, dev, analyst, etc.

0.09

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):

Pakistan (2,296) Lahore, Pakistan (2,174) Islamabad, Pakistan (1,353) Punjab, Pakistan (1,343) Karachi, Pakistan (1,056) Lahore (381) Peshawar, Pakistan (333) Multan, Pakistan (324) Islamabad (308) Rawalpindi, Pakistan (293)

216

Verified Followers

0.22% of total

6,536

Protected Accounts

6.54% of total

4 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
@FaisalJavedKhan 3,845,772 Politician Politics, Climate Change, InfoTech
@SaleemKhanSafi 3,418,948 Journalist Politics, Journalism, Analysis
@GovtofPakistan 3,082,035 Government Policy, Announcements, News
@hinaparvezbutt 2,483,102 Politician Politics, Leadership, Writing
@MaizaHameedMNA 690,183 Politician Youth, Women Leadership, Minorities
@ShahNafisa 611,960 Politician Politics, Anthropology, Journalism
@usembislamabad 506,303 Diplomat Diplomacy, Pakistan, United States
@ijazulhaq 348,986 Politician Politics, Pakistan, Government
@MianAliAshfaq 319,289 - -
@realrazidada 310,473 Journalist Journalism, Vlogging, YouTube

Top Keywords in Follower Bios

pakistan (3,912) love (2,654) student (2,078) pakistani (2,058) social (1,818) proud (1,680) engineer (1,578) muslim (1,277) life (1,267) khan (1,181)

Top Hashtags in Follower Bios

#pakistan (128) #pti (125) #pakistani (97) #امپورٹڈ_حکومت_نامنظور (88) #student (61) #muslim (61) #cricket (50) #imrankhan (46) #pakistanzindabad (46) #love (37)

54,948

Followers With Bio

45,052

Followers Without Bio

54.95%

% With Bio

45.05%

% 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 500 analyzed

12,755

Combined Engagement

2,472

Total Likes

10,283

Total Retweets

2,551

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Microfinance Poverty Alleviation Social Impact Financial Inclusion Community Empowerment Awards And Recognition

Key Insights & Takeaways

The account emphasizes social impact and community empowerment through microfinance. Content often includes awards and recognition, which enhances credibility and visibility. Hashtags and links are used to promote engagement and drive traffic to related content.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 112,027
  • + 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 @Akhuwat reveals an well-established Twitter presence with 112,027 followers. The account demonstrates a content-creator strategy, averaging 114.0 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