Litton Das
Welcome to my official Twitter account. Player of @BCBtigers. proud and honour to represent my country! 🇧🇩
181,333
Followers
39
Following
182
Tweets
4,852.8
Avg Engagement
55
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LittonOfficial'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:2015-12-31
- Verification:No
- Location:Bangladesh
Data Summary
- Tweets Analyzed:161
- Avg Likes per Tweet:4,653.3
- Avg Retweets per Tweet:199.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 161 tweetsThe account consistently receives high likes and retweets, indicating strong support and interaction from its followers.
4,653.3
Avg Likes/Tweet
199.4
Avg Retweets/Tweet
749,188
Total Likes
32,107
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
882
Median Likes
16
Median Retweets
2,114
75th Percentile
88,470
Top Tweet
26.76
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
87.6%
Original
2.5%
Replies
9.9%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
90.7%
With Links
34.2%
With #Tags
29.2%
With @Mentions
77.0%
With Emojis
79
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.3%
Weekday Posts
26.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 161 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 16 retweets (10% 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 161 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 audience primarily consists of cricket fans and followers of the BCBtigers team, with a notable interest in international cricket events.
Below Average
Audience Quality
36.3%
Suspicion Index
44.0%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.9%
Empty Bio
53.5%
<10 Tweets
5.7%
Mass Following (>2K)
0.0%
New (<90 days)
78.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
34.1%
<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.
12,072,953
Total Potential Reach
5
Median Follower Reach
28
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).
22.8%
Creators
11,411 accounts
23.7%
Consumers
11,846 accounts
53.5%
Dormant
26,743 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):
55
Verified Followers
0.05% of total
8,083
Protected Accounts
8.0% 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 |
|---|---|---|---|
| @KKRiders | 5,230,749 | Sports Team | Cricket, Kolkata, IPL |
| @rashidkhan_19 | 1,781,816 | Cricketer | Cricket, Afghanistan, Sunrisers Hyderabad |
| @Mahmudullah30 | 637,304 | Cricketer | Cricket, Bangladesh, Proud |
| @IamMzilikazi | 547,476 | Musician | Pan-African music, Album, Rise |
| @mashrafebd | 500,854 | Cricketer | Cricket, Politics, Leadership |
| @DennisCricket_ | 464,973 | Comedian | Cricket, Jokes, Pakola |
| @SalmaAkterEva | 381,915 | - | - |
| @Tanjin_Tisha_ | 309,066 | - | - |
| @CPL | 302,476 | Cricketer | Cricket, T20, Caribbean |
| @CHathurusinghe | 292,024 | Cricket Coach | Cricket, Coaching, Player |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,635
Followers With Bio
48,362
Followers Without Bio
52.12%
% With Bio
47.88%
% 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 161 analyzed315,630
Combined Engagement
303,869
Total Likes
11,761
Total Retweets
63,126
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Thoughts and prayers with Rishabh Pant. Get well soon brother 🙏🙏 @RishabhPant17
We lost even after coming very close to victory. There will be no shortage of effort in the next match as well. 🇧🇩 #INDvsBAN #T20WorldCup https://t.co/CapCZaA5Qa
Excited 😀🤙 @KKRiders #AmiKKR #IPLAuctions https://t.co/USvzHUcFmT
Happy Saraswati Puja to all. 🙏❤️ #LKD16 https://t.co/1jlshjk57o
✊✊🇧🇩 https://t.co/B5BhdhmsK7
Key Insights & Takeaways
The account frequently engages with cricket players and teams, showing a deep connection to the sport. Content often includes emotional support and encouragement, reflecting a caring and supportive community. There is a focus on major cricket events and tournaments, which likely drives significant engagement and follower interest.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 181,333
- + 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 @LittonOfficial reveals an exceptionally influential Twitter presence with 181,333 followers. The account demonstrates a content-creator strategy, averaging 4,852.8 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.
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