Raja Sen
Afraid to rate cab drivers. | Screenwriter, critic, columnist | #Chup
89,921
Followers
2,136
Following
35,372
Tweets
480.9
Avg Engagement
600
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RajaSen'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: Mid-Tier (10K+)
- Account Age:2009-01-21
- Verification:No
- Location:India. Mostly Bombay/Delhi.
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:49.6
- Avg Retweets per Tweet:431.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,200 tweetsRajaSen's tweets typically receive around 4,376 likes and 465 retweets on average, showing consistent audience interaction. His content is well-received, with a notable portion of his followers actively participating in discussions.
49.6
Avg Likes/Tweet
431.3
Avg Retweets/Tweet
158,661
Total Likes
1,380,275
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
49
75th Percentile
93,150
Top Tweet
5.35
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
41.7%
Original
26.3%
Replies
21.3%
Retweets
10.6%
Quotes
0.0%
Threads
0.4%
With Media
52.8%
With Links
35.1%
With #Tags
55.5%
With @Mentions
8.3%
With Emojis
125
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.63
Reply/Original Ratio
0.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.6%
Weekday Posts
37.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 683 retweets (21% 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 3,200 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 10,000 followersHis audience primarily consists of film enthusiasts and critics who appreciate in-depth analysis and cultural commentary. The engagement suggests a dedicated fan base interested in Bollywood and international cinema.
Average
Audience Quality
28.3%
Suspicion Index
23.7%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.9%
Empty Bio
23.3%
<10 Tweets
25.1%
Mass Following (>2K)
0.0%
New (<90 days)
64.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.9%
No URL
14.6%
<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.
34,455,792
Total Potential Reach
46
Median Follower Reach
172
75th Percentile Reach
6.6%
>1K followers
1.7%
>10K followers
0.7%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.6%
Creators
5,658 accounts
20.1%
Consumers
2,015 accounts
23.3%
Dormant
2,327 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):
77
Verified Followers
0.77% of total
884
Protected Accounts
8.84% of total
6 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 |
|---|---|---|---|
| @BDUTT | 7,111,070 | Journalist | Journalism, Reporting, Writing |
| @TandonRaveena | 2,497,541 | Actress | Bollywood, Actress, Philanthropy |
| @dulQuer | 2,469,887 | Actor | Film, Business, Auto Enthusiast |
| @BajpayeeManoj | 1,790,770 | Actor | acting, films, storytelling |
| @IndiaHistorypic | 1,385,967 | Historian | - |
| @rohini_sgh | 973,438 | Journalist | Politics, Policy, Journalism |
| @paramspeak | 831,206 | Actor | Music, Poetry, Freedom |
| @NOH8Campaign | 799,086 | Activism | equality, bullying, discrimination |
| @srinivasiyc | 797,262 | Politician | Politics, Youth, Volunteerism |
| @unkonfined | 662,654 | Influencer | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,715
Followers With Bio
3,285
Followers Without Bio
67.15%
% With Bio
32.85%
% 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 3,200 analyzed384,512
Combined Engagement
0
Total Likes
384,512
Total Retweets
76,902
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @alipasha_: Muhammad Ali lost years of his prime due to his anti war stance and Djokovic is scared of a needle. Not the same https://t.co/mdSXtYmm4x
RT @BenjaminRamm: During his inaugural address in 2019, Zelensky told lawmakers: “I do not want my picture in your offices: the President is not an icon, an idol or a portrait. Hang your kids' photos instead, and look at them each time you are making a decision.” https://t.co/fjs
RT @RafaelNadal: Dear Roger,my friend and rival. I wish this day would have never come. It’s a sad day for me personally and for sports around the world. It’s been a pleasure but also an honor and privilege to share all these years with you, living so many amazing moments on and
RT @SBalaghi: The digital protest art being created in Iran--much of it anonymously--has been absolutely brilliant. https://t.co/Q1MCJAhYxg
RT @lucyj_ford: this is one of the most gorgeous outlooks on grief i have ever heard https://t.co/UwWlPMQo4r
Key Insights & Takeaways
RajaSen frequently shares news about Bollywood celebrities and film events, indicating a focus on current entertainment trends. He often uses hashtags like #Chup, suggesting a preference for concise and impactful communication. His tweets are rich in cultural and cinematic references, appealing to a niche but engaged audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 89,921
- + 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 @RajaSen reveals an well-established Twitter presence with 89,921 followers. The account demonstrates a content-creator strategy, averaging 480.9 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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