Jeet
Born on 30th Nov. An Artist & Entrepreneur…Instagram : @jeet30 ; FB: @jeet30official
1,347,924
Followers
145
Following
6,906
Tweets
547.6
Avg Engagement
344
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jeet30'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:2010-02-08
- Verification:No
- Location:kolkata, india
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:453.5
- Avg Retweets per Tweet:94.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,238 tweetsJeet30's tweets typically receive high engagement, with an average of 3,754 likes and 425 retweets, indicating a strong and active follower base.
453.5
Avg Likes/Tweet
94.1
Avg Retweets/Tweet
1,468,512
Total Likes
304,543
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
326
Median Likes
56
Median Retweets
695
75th Percentile
33,158
Top Tweet
0.41
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
42.8%
Original
4.2%
Replies
18.5%
Retweets
34.5%
Quotes
0.0%
Threads
0.3%
With Media
69.3%
With Links
40.8%
With #Tags
36.6%
With @Mentions
33.4%
With Emojis
91
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
1.87
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.9%
Weekday Posts
23.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 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 598 retweets (18% 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 3,238 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 interested in art, spirituality, and personal storytelling, with a global reach due to the platform's nature.
Below Average
Audience Quality
43.6%
Suspicion Index
58.5%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61.1%
Empty Bio
75.1%
<10 Tweets
2.7%
Mass Following (>2K)
0.0%
New (<90 days)
88.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
55.9%
<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.
3,531,936
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).
7.4%
Creators
3,711 accounts
17.5%
Consumers
8,736 accounts
75.1%
Dormant
37,553 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):
48
Verified Followers
0.05% of total
9,427
Protected Accounts
9.43% 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 |
|---|---|---|---|
| @IamMzilikazi | 544,398 | Musician | Pan-African music, Album, Rise |
| @AshwiniUpadhyay | 532,401 | Politician | Nationalism, Anti-corruption, Unity |
| @silvastunt | 244,320 | Stunt Performer | stunts, adrenaline, entertainment |
| @BhabnaAshna | 216,431 | Multitalented | Classical dancer, actress, painter |
| @SumiyaJannat10 | 168,574 | - | - |
| @Farzana346 | 140,345 | Influencer | Bangladesh, Love, Humanity |
| @riponphyAIGH | 137,709 | - | - |
| @madanmitraoff | 118,354 | - | - |
| @SilvioGReal | 110,899 | Influencer | - |
| @G4jwkL3G0eWnBHe | 109,402 | Writer | Religion, Fear of Allah, Sinful nature |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,584
Followers With Bio
51,416
Followers Without Bio
48.58%
% With Bio
51.42%
% 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 3,238 analyzed79,354
Combined Engagement
0
Total Likes
79,354
Total Retweets
15,871
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @irrfank: From Sutapa, Babil and Ayaan... https://t.co/djfdp5KxTL
RT @SrideviBKapoor: https://t.co/VNgw7FY9rF
RT @isro: Hello! This is Chandrayaan 2 with a special update. I wanted to let everyone back home know that it has been an amazing journey f…
RT @iamsrk: 'Create a world which is its own best lover.' My session at the @TEDTalks is now up. Hope u like it. https://t.co/0Xzud4213O
RT @virendersehwag: 17 lives. They had a family,they had a son,they had a daughter. They were serving our motherland. Pains to see this. ht…
Key Insights & Takeaways
Jeet30 often shares deeply emotional and personal messages, which resonate strongly with their audience. They frequently use hashtags related to spirituality and personal reflection, indicating a focus on these themes. Their content also includes celebratory and festive messages, suggesting an effort to connect with followers on a more personal and emotional level.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,347,924
- + 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 @jeet30 reveals an well-established Twitter presence with 1,347,924 followers. The account demonstrates a content-creator strategy, averaging 547.6 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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