selvaraghavan
film maker
3,101,232
Followers
487
Following
8,425
Tweets
3,579.5
Avg Engagement
639
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @selvaraghavan'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: Mega Influencer (1M+)
- Account Age:2011-07-19
- Verification:No
- Location:chennai, India
Data Summary
- Tweets Analyzed:3,055
- Avg Likes per Tweet:2,868.8
- Avg Retweets per Tweet:710.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,055 tweetsHis tweets receive a high number of likes and retweets, showing strong audience interaction. The consistent engagement suggests a dedicated fan base and industry relevance.
2,868.8
Avg Likes/Tweet
710.7
Avg Retweets/Tweet
8,764,138
Total Likes
2,171,271
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
149
Median Likes
105
Median Retweets
3,366
75th Percentile
119,376
Top Tweet
1.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
35.0%
Original
5.5%
Replies
43.7%
Retweets
15.8%
Quotes
0.0%
Threads
0.4%
With Media
55.8%
With Links
41.0%
With #Tags
57.4%
With @Mentions
32.1%
With Emojis
109
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.36
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.8%
Weekday Posts
31.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,055 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 1,336 retweets (44% 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 3,055 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 followersHis audience appears to be primarily fans of his films and industry professionals interested in his work. They are likely engaged with his content and follow his updates closely.
Below Average
Audience Quality
46.3%
Suspicion Index
70.3%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
76.1%
Empty Bio
78.9%
<10 Tweets
1.0%
Mass Following (>2K)
0.0%
New (<90 days)
89.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.0%
No URL
64.6%
<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.
2,145,636
Total Potential Reach
1
Median Follower Reach
5
75th Percentile Reach
0.4%
>1K followers
0.0%
>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).
7.3%
Creators
3,637 accounts
13.8%
Consumers
6,904 accounts
78.9%
Dormant
39,459 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):
46
Verified Followers
0.05% of total
5,233
Protected Accounts
5.18% 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 |
|---|---|---|---|
| @Mrs_Geethaiyer | 286,406 | - | - |
| @farrugiadom | 281,934 | Comedian | Comedy, 20th Century, French |
| @dhivya_dhurai | 192,340 | Actress | Movies, Debut, Zee5 |
| @ReporterIndia_ | 152,513 | Journalist | News, Photos, Trends |
| @OTTGlobaI | 145,847 | - | - |
| @iamsamyuktha_ | 142,704 | Influencer | Spirituality, Royalty, Fire dancing |
| @Dir_dsk | 65,149 | Film Director | Movies, Director, Tamil Cinema |
| @alishaabdullah | 61,437 | - | - |
| @SamuelRobinsonX | 46,069 | Actor | Art, Literature, Nature |
| @DigitalRahulM | 44,286 | Digital Marketer | SEO, Social Media, Marketing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
24,184
Followers With Bio
76,815
Followers Without Bio
23.94%
% With Bio
76.06%
% 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 3,055 analyzed376,052
Combined Engagement
148,949
Total Likes
227,103
Total Retweets
75,210
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
இது வரை கேட்டிருந்த ,காத்திருந்த என் அன்பு உள்ளங்களுக்கு இதோ உங்கள் முன்னால் @dhanushkraja #a.o2 https://t.co/4siF01hiJL
RT @RafaelNadal: #CHAMP10N https://t.co/BV0M1qE7NE
RT @Kaepernick7: A lie gets halfway around the world before the truth has a chance to get its pants on. Winston S. Churchill
RT @narendramodi: My fellow citizens, THERE IS ABSOLUTELY NO NEED TO PANIC. Essential commodities, medicines etc. would be available. Ce…
Extremely happy to join hands for 8th time with @thisisysr !! @dhanushkraja Kalaippuli S Thanu @theVcreations https://t.co/AKWbirnFGF
Key Insights & Takeaways
His tweets often feature collaborations with well-known actors and producers, indicating a focus on industry partnerships. He uses hashtags to promote his projects and connect with fans. His content is likely tailored to both fans and industry peers, emphasizing his role as a filmmaker.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,101,232
- + 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 @selvaraghavan reveals an exceptionally influential Twitter presence with 3,101,232 followers. The account demonstrates a content-creator strategy, averaging 3,579.5 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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