Comedy Central India
Welcome to your #HappyPlace. https://www.jiostar.com/.…
1,320,301
Followers
414
Following
35,231
Tweets
4.2
Avg Engagement
295
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ComedyCentralIn'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:2011-12-05
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:3.0
- Avg Retweets per Tweet:1.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady level of engagement with an average of 102 likes and 16 retweets per tweet. It effectively uses hashtags and links to drive interaction and traffic.
3.0
Avg Likes/Tweet
1.2
Avg Retweets/Tweet
9,865
Total Likes
3,883
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
4
75th Percentile
633
Top Tweet
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
87.1%
Original
10.3%
Replies
1.9%
Retweets
0.6%
Quotes
0.0%
Threads
0.1%
With Media
84.2%
With Links
91.1%
With #Tags
51.1%
With @Mentions
30.1%
With Emojis
197
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.4%
Weekday Posts
28.6%
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 62 retweets (2% 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 audience primarily consists of fans of classic and modern comedy shows. They are likely aged 18-45 and interested in humor, pop culture, and social media trends.
Below Average
Audience Quality
35.8%
Suspicion Index
41.1%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.9%
Empty Bio
55.2%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
78.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.6%
No URL
39.4%
<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.
21,699,570
Total Potential Reach
5
Median Follower Reach
27
75th Percentile Reach
1.2%
>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).
21.3%
Creators
10,635 accounts
23.5%
Consumers
11,741 accounts
55.2%
Dormant
27,624 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):
73
Verified Followers
0.07% of total
4,947
Protected Accounts
4.9% of total
5 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 |
|---|---|---|---|
| @JohnCena | 14,105,324 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,335,172 | Restaurateur | Food, Travel, Influencer |
| @thebetterindia | 801,477 | Media | Uplifting stories, social impact, India |
| @RichaChadha | 614,947 | Actress | Bollywood, Activism, LGBTQ+ |
| @iamMostlySane | 409,531 | YouTuber | YouTube, Food, Pyjamas |
| @realDonaldTrFan | 326,291 | Parody Account | politics, parody, notifications |
| @BBCIndia | 242,505 | News Outlet | News, Features, Updates |
| @DCPNewDelhi | 178,685 | Police | Emergency services, connection, service |
| @VootSelect | 170,216 | Streaming Service | Movies, Entertainment, Streaming |
| @TheJSWGroup | 120,829 | Conglomerate | Business, Transformation, Growth |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,458
Followers With Bio
62,541
Followers Without Bio
38.08%
% With Bio
61.92%
% 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 analyzed1,989
Combined Engagement
499
Total Likes
1,490
Total Retweets
398
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @JioCinema: Dekho kya keh rahe hain Mahi aur Surya, it's time to upgrade to JioCinema! Catch all the action of #TATAIPL in 4K resolutio…
RT @arijitsingh: Donate and Help Spread the word if you can.. https://t.co/hSo5hsO5ii
RT @JioCinema: Time to make history, time to remember these names, time for #TATAWPL 2023! 👊 #HarZubaanParNaamTera #CheerTheW https://t.co…
@Twitter https://t.co/twMkdbF9Iw
If you know, you know. #Friends #FriendsOnCC @FriendsTV https://t.co/2kT6SXjX5D
Key Insights & Takeaways
The account heavily relies on nostalgia and pop culture references to connect with its audience. It uses trending topics and current events to keep content relevant and engaging. Collaborations with other shows and brands help expand its reach and maintain a dynamic content strategy.
Strengths
- + Established follower base of 1,320,301
- + 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 @ComedyCentralIn reveals an growing Twitter presence with 1,320,301 followers. The account demonstrates a content-creator strategy, averaging 4.2 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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