Awami League

Awami League

@albd1971

Official Twitter Account of Bangladesh Awami League. Led by Party President & Current Hon. PM #SheikhHasina. We believe in #SocialJustice & #LeavingNoOneBehind.

Dhaka, Bangladesh https://www.albd.org/ Joined 2014-01-13 Date of Analysis: Dec 16, 2025

633,475

Followers

1,579

Following

17,476

Tweets

186.3

Avg Engagement

365

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @albd1971'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:2014-01-13
  • Verification:No
  • Location:Dhaka, Bangladesh

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:134.7
  • Avg Retweets per Tweet:51.5
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account has a moderate level of engagement with an average of 1,073 likes and 207 retweets per tweet. The content often includes historical and political messages that resonate with the audience.

134.7

Avg Likes/Tweet

51.5

Avg Retweets/Tweet

437,815

Total Likes

167,523

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

117

Median Likes

21

Median Retweets

191

75th Percentile

6,193

Top Tweet

0.29

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

93.7%

Original

0.2%

Replies

6.1%

Retweets

0.0%

Quotes

0.0%

Threads

0.6%

With Media

92.7%

With Links

91.3%

With #Tags

37.7%

With @Mentions

21.8%

With Emojis

220

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.0

Reply/Original Ratio

0.01

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

71.9%

Weekday Posts

28.1%

Weekend Posts

Top Hashtags

#bangladesh (2164) #sheikhhasina (1236) #covid19 (331) #awamileague (302) #bangabandhu (210) #bnp (167) #economy (79) #dhaka (76) #mujib100 (76) #india (75)

Most Mentioned

@albd1971 (181) @sajeebwazed (149) @un (74) @bdmofa (51) @narendramodi (51) @worldbank (38) @obaidulquader (38) @mdshahriaralam (29) @usembassydhaka (27) @wef (24)

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 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 3,046 (94%)
Replies 6 (0%)
Retweets 197 (6%)
Quote Tweets 1 (0%)

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 197 retweets (6% 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 3,250 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 primary audience includes Bangladeshi citizens, political supporters, and international followers interested in Bangladesh's history and politics. It also reaches out to those interested in social justice and human rights issues.

Below Average

Audience Quality

37.8%

Suspicion Index

45.6%

Low-Quality %

3

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

50.9%

Empty Bio

63.4%

<10 Tweets

3.5%

Mass Following (>2K)

0.0%

New (<90 days)

78.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.8%

No URL

40.4%

<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.

8,504,162

Total Potential Reach

3

Median Follower Reach

15

75th Percentile Reach

1.1%

>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).

10.5%

Creators

5,241 accounts

26.1%

Consumers

13,040 accounts

63.4%

Dormant

31,719 accounts

72

Verified Followers

0.14% of total

3.6%

Professional Bios

founder, dev, analyst, etc.

0.03

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):

Dhaka, Bangladesh (4,979) Bangladesh (2,541) Chittagong, Bangladesh (831) Sylhet, Bangladesh (320) Rajshahi, Bangladesh (251) Khulna, Bangladesh (249) Dhaka (214) Mymensingh, Bangladesh (195) Barisal, Bangladesh (158) Rangpur, Bangladesh (147)

111

Verified Followers

0.11% of total

7,540

Protected Accounts

7.54% 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
@javerias 1,331,549 Journalist Photography, Journalism, Child Labour
@1pcornwell 1,188,569 Author crime, mystery, writing
@Independent24tv 895,478 News broadcaster news, updates, investigations
@Ahmadul82596161 845,897 YouTuber Religion, Gombak, YouTube
@murtazasolangi 572,341 Journalist Journalism, Media, Politics
@ONUBrasil 383,932 Diplomacy Sustainable Development, Human Rights, Global Goals
@SalmaAkterEva 379,030 - -
@johnnjenga 278,341 Academic Politics, Memory, Research
@jorcervan 237,695 Writer Mythology, Self-discovery, Openness
@clauok10 204,059 - -

Top Keywords in Follower Bios

love (3,492) bangladesh (2,837) student (2,403) life (2,233) simple (1,874) allah (1,839) digital (1,311) muslim (1,236) boy (972) professional (921)

Top Hashtags in Follower Bios

#seo (65) #digital (62) #digitalmarketing (57) #digitalmarketer (54) #bangladesh (48) #digital_marketer (48) #freelancer (43) #facebook (34) #nft (26) #muslim (25)

56,665

Followers With Bio

43,335

Followers Without Bio

56.66%

% With Bio

43.34%

% 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 3,250 analyzed

25,531

Combined Engagement

0

Total Likes

25,531

Total Retweets

5,106

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Politics History Social Justice National Pride Commemoration

Key Insights & Takeaways

The account frequently highlights historical events and national commemorations, which likely resonate strongly with the local audience. It uses hashtags to increase visibility and connect with broader social justice movements. The content is primarily focused on political messaging and national pride, which aligns with the party's goals.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 633,475
  • + 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 @albd1971 reveals an well-established Twitter presence with 633,475 followers. The account demonstrates a content-creator strategy, averaging 186.3 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