venkat prabhu
film maker & a die hard fan of team india & team csk
3.842.307
Followers
576
Following
20.254
Tweets
2.856,4
Avg Engagement
960
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @vp_offl'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:2009-09-01
- Verification:No
- Location:Chennai, India
Data Summary
- Tweets Analyzed:3.246
- Avg Likes per Tweet:2.355,4
- Avg Retweets per Tweet:501,0
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.246 tweetsThe high engagement rates suggest a loyal and interactive audience. The content often includes personal milestones and emotional expressions, which drive likes and retweets.
2.355,4
Avg Likes/Tweet
501,0
Avg Retweets/Tweet
7.645.651
Total Likes
1.626.150
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
369
Median Likes
47
Median Retweets
2.672
75th Percentile
104.793
Top Tweet
0,74
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
35,3%
Original
29,9%
Replies
20,0%
Retweets
14,8%
Quotes
0,0%
Threads
0,2%
With Media
46,8%
With Links
46,7%
With #Tags
81,1%
With @Mentions
26,7%
With Emojis
110
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,85
Reply/Original Ratio
0,74
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72,6%
Weekday Posts
27,4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.246 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 648 retweets (20% 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 3.246 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 is likely cricket enthusiasts and film lovers who appreciate personal stories and nostalgia. They are active and engaged, showing interest in both sports and entertainment.
Below Average
Audience Quality
45,7%
Suspicion Index
67,5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
75,7%
Empty Bio
74,8%
<10 Tweets
2,1%
Mass Following (>2K)
0,0%
New (<90 days)
90,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
97,6%
No URL
59,3%
<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.
6.221.966
Total Potential Reach
2
Median Follower Reach
6
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).
9,4%
Creators
4.712 accounts
15,8%
Consumers
7.890 accounts
74,8%
Dormant
37.398 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
4.331
Protected Accounts
4.29% 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 |
|---|---|---|---|
| @JohnCena | 14.106.042 | Wrestler | Wrestling, Motivation, Self-promotion |
| @gvprakash | 6.571.126 | Musician | Music, Movies, Flying |
| @prakashraaj | 2.788.043 | Actor | Social activism, Philanthropy, Acting |
| @chay_akkineni | 2.637.723 | Actor | actor, super cars, maceoplex |
| @ramjowrites | 848.229 | Lyricist | Telugu films, Singer, Actor |
| @IamMzilikazi | 541.653 | Musician | Pan-African music, Album, Rise |
| @IamKrithiShetty | 367.127 | Actor | Acting, Happiness, Kindness |
| @BoxOfficeWorld_ | 278.083 | Movie Blogger | Indian Movies, Box-Office Collections, Reviews |
| @TheArijitSingh | 274.273 | Singer | Music, Singer, YouTube |
| @SGayathrie | 236.370 | Actress | Philosophy, Motivation, Self-reflection |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
25.143
Followers With Bio
75.852
Followers Without Bio
24.9%
% With Bio
75.1%
% 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 3.246 analyzed418.326
Combined Engagement
195.522
Total Likes
222.804
Total Retweets
83.665
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @Tngtweets1: ‘Squid Game’ creator Hwang Dong-hyuk wrote the show in 2009 but was rejected by studios for 10 years. He once had to stop…
RT @vinodkapri: This is PURE GOLD❤️❤️ नोएडा की सड़क पर कल रात 12 बजे मुझे ये लड़का कंधे पर बैग टांगें बहुत तेज़ दौड़ता नज़र आया मैंने सो…
This lifetime pic was taken exactly 11 years ago today!!! #mankatha #BestOfFriends #thalathalabathy https://t.co/6G0LVJqhR2
Respect 🙏🏽🙏🏽🙏🏽 https://t.co/CrhTup7RYB
#NewProfilePic https://t.co/1BA0JMBx2y
Key Insights & Takeaways
The user frequently shares personal and nostalgic content, which resonates with their followers. They use hashtags effectively to highlight key moments and themes. Their profile picture and bio reflect a blend of creativity and sports passion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3.842.307
- + 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 @vp_offl reveals an exceptionally influential Twitter presence with 3.842.307 followers. The account demonstrates a content-creator strategy, averaging 2.856,4 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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