Yogi Babu
Comedian & Actor in Tamil Film Industry! #Actor #Comedian #TamilFilmIndustry
937,512
Followers
297
Following
1,822
Tweets
4,266.5
Avg Engagement
130
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @iYogiBabu'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:2017-12-16
- Verification:No
- Location:Chennai, India
Data Summary
- Tweets Analyzed:1,545
- Avg Likes per Tweet:3,969.4
- Avg Retweets per Tweet:297.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,545 tweetsiYogiBabu's tweets typically receive high engagement, with an average of 57k likes and 8k retweets. His content is well-received, indicating a loyal and active fan base.
3,969.4
Avg Likes/Tweet
297.1
Avg Retweets/Tweet
6,132,753
Total Likes
458,989
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
770
Median Likes
48
Median Retweets
5,797
75th Percentile
84,302
Top Tweet
4.55
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
59.8%
Original
33.1%
Replies
6.1%
Retweets
1.0%
Quotes
0.0%
Threads
0.1%
With Media
62.8%
With Links
19.5%
With #Tags
52.4%
With @Mentions
11.8%
With Emojis
64
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.55
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.5%
Weekday Posts
33.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,545 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 94 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 1,545 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 primarily consists of Tamil cinema fans and comedy enthusiasts who appreciate his humor and industry insights. The audience is also interested in his personal life and achievements.
Below Average
Audience Quality
44.6%
Suspicion Index
66.1%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
73.5%
Empty Bio
73.6%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
88.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.3%
No URL
58.7%
<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.
23,314,095
Total Potential Reach
2
Median Follower Reach
8
75th Percentile Reach
0.5%
>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).
10.6%
Creators
5,284 accounts
15.8%
Consumers
7,906 accounts
73.6%
Dormant
36,810 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):
78
Verified Followers
0.08% of total
6,433
Protected Accounts
6.37% 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 |
|---|---|---|---|
| @ImRaina | 20,936,437 | Cricketer | Cricket, Co-Founder, Care |
| @Vedhika4u | 1,440,473 | Actor | Movies, Travel, Fitness |
| @imDhoni_fc | 660,587 | Fan Club | Cricket, Team India, Chennai Super Kings |
| @DoneChannel1 | 135,450 | PR & Management | PR, Celebrity, Management |
| @Abirami91340506 | 114,399 | Unknown | Divorce, Friends, Hi |
| @wildsoundfest | 88,753 | Film Festival | INDY films, screenplay readings, trailer events |
| @stysysysstyssty | 88,270 | - | - |
| @AjayDevgnMania | 86,035 | Fan Account | RaidTrailer, Taanaji, TotalDhamaal |
| @GitanjaliSelva | 65,183 | Writer | Reader, dreamer, fantasy believer |
| @sharadasrinidhi | 60,201 | Journalist | Cinema, Bengaluru, Kannada |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
27,312
Followers With Bio
73,687
Followers Without Bio
27.04%
% With Bio
72.96%
% 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 1,545 analyzed385,446
Combined Engagement
345,619
Total Likes
39,827
Total Retweets
77,089
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/LNsQtcZBYN
இன்று காலை (05.02.2020) எனது குலதெய்வ கோவிலில் வைத்து #மஞ்சுபார்கவிக்கும் எனக்கும் திருமணம் நடைபெற்றது என்பதை அனைவருக்கும் மகிழ்ச்சியுடன் தெரிவித்துக் கொள்கிறேன். வரும் மார்ச் மாதம் சென்னையில் வரவேற்பு நிகழ்ச்சி நடைபெறவுள்ளது. https://t.co/B1lChJFimd
https://t.co/nMuQPVvtw8
https://t.co/pqxxuAsZKt
Intha bat aa enaku surprise a kodutha Vijay anna ku thankyou🤝 @actorvijay #thalapathyvijayyogibabu https://t.co/SI08LJNrFJ
Key Insights & Takeaways
He frequently shares personal updates and life events, which resonate well with his audience His content is a mix of humor, entertainment, and industry news, keeping his followers engaged He maintains a consistent presence on Twitter, which helps in building and retaining his audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 937,512
- + 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 @iYogiBabu reveals an exceptionally influential Twitter presence with 937,512 followers. The account demonstrates a content-creator strategy, averaging 4,266.5 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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