DW বাংলা
বিশ্বের গুরুত্বপূর্ণ সংবাদগুলি তুলে ধরছি আমরা৷ আপনারা মতামত জানান, আমরা সংলাপের জন্য তৈরি৷ https://t.co/7X0jp1GJiY
754,883
Followers
643
Following
63,364
Tweets
81.6
Avg Engagement
409
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dw_bengali'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:2009-06-23
- Verification:No
- Location:Bonn, Germany
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:69.5
- Avg Retweets per Tweet:12.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe average engagement per tweet is moderate, with around 992 likes and 55 retweets. The account maintains a consistent level of interaction with its followers.
69.5
Avg Likes/Tweet
12.1
Avg Retweets/Tweet
225,849
Total Likes
39,334
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
41
Median Likes
1
Median Retweets
82
75th Percentile
9,603
Top Tweet
0.11
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
96.8%
Original
0.4%
Replies
2.8%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
98.7%
With Links
66.8%
With #Tags
3.6%
With @Mentions
0.7%
With Emojis
178
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
83.1%
Weekday Posts
16.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 92 retweets (3% 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 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 primary audience is likely Bangladeshi users interested in current affairs and global news. The account also engages with a broader audience through its interactive approach.
Below Average
Audience Quality
41.2%
Suspicion Index
56.7%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.7%
Empty Bio
69.1%
<10 Tweets
2.6%
Mass Following (>2K)
0.0%
New (<90 days)
81.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
48.7%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
6,766,855
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
0.7%
>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).
9.4%
Creators
4,687 accounts
21.5%
Consumers
10,766 accounts
69.1%
Dormant
34,547 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):
76
Verified Followers
0.08% of total
4,444
Protected Accounts
4.4% 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 |
|---|---|---|---|
| @SinghLions | 1,335,027 | Restaurateur | Food, Travel, Influencer |
| @LeBronJames | 1,008,413 | - | - |
| @afrenfatema | 573,916 | Influencer | Islam, Kindness, Hadith |
| @ONUBrasil | 383,951 | Diplomacy | Sustainable Development, Human Rights, Global Goals |
| @SL1011mr_himu | 248,834 | Writer | Books, Philosophy, Travel |
| @Farisjmr | 168,777 | Historian | History, Freedom, Choice |
| @EconomistaFlait | 142,195 | Economist | economía, mercados, finanzas |
| @travisa850 | 126,154 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @Tororo_family | 94,209 | - | - |
| @PadraigBelton | 87,079 | Journalist | Journalism, BBC, eBay |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,782
Followers With Bio
64,216
Followers Without Bio
36.42%
% With Bio
63.58%
% 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 3,250 analyzed25,520
Combined Engagement
2,555
Total Likes
22,965
Total Retweets
5,104
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @FIFAcom: This is the power of football ❤️ @Argentina fans in Bangladesh celebrating Lionel Messi's goal in the #FIFAWorldCup victory o…
RT @Argentina: #Qatar2022 Thank you Bangladesh 🤩 Thank you Kerala, India, Pakistan. Your support was wonderful!
RT @FIFAWorldCup: History is set to be made on Thursday! 🤩 There will be an all-female refereeing trio taking charge for the first time at…
আজ সংবাদ সম্মেলনে প্রধানমন্ত্রী শেখ হাসিনা বলেন #Bangladesh https://t.co/lkGitJ2nGX
নতুন দল করার স্বপ্ন দেখেন ইউটিউবার হিরো আলম৷ বিষয়টি আপনি কীভাবে দেখছেন? https://t.co/VyQoIHQ9Lh
Key Insights & Takeaways
The account frequently shares news related to Bangladesh and its political figures, indicating a focus on local and national issues. It encourages audience interaction by inviting opinions and fostering discussion. The use of links suggests a strategy to drive traffic to external content or platforms.
Strengths
- + Established follower base of 754,883
- + 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 @dw_bengali reveals an growing Twitter presence with 754,883 followers. The account demonstrates a content-creator strategy, averaging 81.6 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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