Surya Kumar Yadav
ᴅʀᴇᴀᴍ - ᴡᴏʀᴋ - ᴀᴄʜɪᴇᴠᴇ Indian Cricketer 🇮🇳 For inquiries, contact: [email protected]
3,281,091
Followers
151
Following
4,295
Tweets
6,099.9
Avg Engagement
543
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @surya_14kumar'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:2012-01-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,114
- Avg Likes per Tweet:5,473.3
- Avg Retweets per Tweet:626.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,114 tweetsHis tweets receive high engagement, with an average of 183k likes and 11k retweets, indicating strong fan interaction. The use of emojis and personal touches enhances audience connection.
5,473.3
Avg Likes/Tweet
626.6
Avg Retweets/Tweet
17,043,880
Total Likes
1,951,216
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
16
Median Retweets
1,267
75th Percentile
273,916
Top Tweet
1.86
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
43.3%
Original
21.5%
Replies
31.3%
Retweets
3.9%
Quotes
0.0%
Threads
0.1%
With Media
38.2%
With Links
41.0%
With #Tags
75.8%
With @Mentions
30.8%
With Emojis
106
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.5
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.5%
Weekday Posts
30.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,114 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 976 retweets (31% 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 3,114 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 cricket enthusiasts and Indian fans who appreciate his authenticity and relatability. The content resonates well with both casual and dedicated followers.
Below Average
Audience Quality
49.2%
Suspicion Index
78.5%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
82.0%
Empty Bio
86.9%
<10 Tweets
0.6%
Mass Following (>2K)
0.0%
New (<90 days)
91.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.1%
No URL
75.0%
<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.
2,154,044
Total Potential Reach
0
Median Follower Reach
2
75th Percentile Reach
0.3%
>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).
4.6%
Creators
2,296 accounts
8.5%
Consumers
4,238 accounts
86.9%
Dormant
43,466 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
13,085
Protected Accounts
13.08% 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 |
|---|---|---|---|
| @pritipatel | 457,767 | Politician | Politics, Government, Law |
| @ArianaNews_ | 417,759 | News Network | News, Current Affairs, Television |
| @DevprakasMeena | 245,493 | Lawyer | Constitutionalist, Tribal, Personal Views |
| @Aarshit_mittal | 117,632 | - | - |
| @yuva_rajad | 92,372 | - | - |
| @kaviya_00 | 85,726 | - | - |
| @mannythehitman | 84,663 | Entrepreneur | Entrepreneurship, Investing, Web3 |
| @iamsktiwarii | 72,453 | Film Producer | Films, Ad Films, Music |
| @Sam_RockyEdits | 52,414 | Editor | Cricket, Editing, Friendship |
| @RealAtulsay | 39,205 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
17,847
Followers With Bio
82,153
Followers Without Bio
17.85%
% With Bio
82.15%
% 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 3,114 analyzed1,113,465
Combined Engagement
1,043,076
Total Likes
70,389
Total Retweets
222,693
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
𝙈𝙖𝙖𝙣𝙡𝙖 𝙧𝙚 𝙗𝙝𝙖𝙪𝙪𝙪𝙪𝙪 🔝🔥 https://t.co/tWEZVW72l4
𝙉𝙤 𝙗𝙚𝙩𝙩𝙚𝙧 𝙛𝙚𝙚𝙡𝙞𝙣𝙜 🇮🇳💙 https://t.co/WoEBakCdrJ
It was so lovely meeting you, brother! Congratulations once again on RRR winning the Golden Globe award 🤩 https://t.co/6HkJgzV4ky
Starting the year right 🏆🇮🇳 https://t.co/Kb46lOALhT
Dominant win 😎 Onto the next one 💪 https://t.co/FGZdxxXQWE
Key Insights & Takeaways
His top tweets often include emotional and celebratory content, which drives high engagement. He leverages personal interactions and milestones to connect with his audience. The use of hashtags and links to external content helps in driving traffic and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,281,091
- + 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 @surya_14kumar reveals an exceptionally influential Twitter presence with 3,281,091 followers. The account demonstrates a content-creator strategy, averaging 6,099.9 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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