239,057
Followers
104
Following
5,841
Tweets
146.2
Avg Engagement
67
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Vishal_singh786'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:2010-03-09
- Verification:No
- Location:mumbai
Data Summary
- Tweets Analyzed:3,096
- Avg Likes per Tweet:101.6
- Avg Retweets per Tweet:44.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,096 tweetsThe account has a high average engagement with 9,636 likes and 3,642 retweets per tweet, indicating a loyal and active fan base.
101.6
Avg Likes/Tweet
44.6
Avg Retweets/Tweet
314,647
Total Likes
138,004
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
5
Median Retweets
79
75th Percentile
21,802
Top Tweet
0.61
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
56.8%
Original
13.5%
Replies
29.5%
Retweets
0.3%
Quotes
0.0%
Threads
1.2%
With Media
65.2%
With Links
20.3%
With #Tags
52.3%
With @Mentions
37.5%
With Emojis
82
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.24
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.6%
Weekday Posts
29.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,096 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 912 retweets (29% 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 3,096 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 appears to be fans of Bollywood and reality TV shows, as well as supporters of specific actors like Sana and Siddharth.
Below Average
Audience Quality
41.9%
Suspicion Index
56.2%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.2%
Empty Bio
68.4%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
87.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.2%
No URL
52.1%
<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.
11,463,659
Total Potential Reach
2
Median Follower Reach
8
75th Percentile Reach
0.7%
>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).
15.5%
Creators
7,774 accounts
16.0%
Consumers
8,008 accounts
68.4%
Dormant
34,218 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):
22
Verified Followers
0.02% of total
3,578
Protected Accounts
3.54% 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 |
|---|---|---|---|
| @RubikaLiyaquat | 4,583,205 | Journalist | Journalism, Udaipur, Humanity |
| @SinghLions | 1,334,283 | Restaurateur | Food, Travel, Influencer |
| @ANTVOfficial_ | 1,113,504 | Entertainment | Entertainment, Variety Show, Talk Show |
| @AshaNegi7 | 974,993 | Actress | Work, Progress, Actress |
| @unkonfined | 659,409 | Influencer | - |
| @EktaaRKapoor | 500,418 | Producer | Indian cinema, television, production |
| @mrunal0801 | 368,725 | Actor | Bollywood, Acting, India |
| @Dylan_Bostic | 349,308 | Wrestler | Pro Wrestling, Boxing, Acting |
| @TheRealIceTre | 152,576 | Rapper | Music, Merchandise, Empire |
| @SrSrishty | 86,459 | Actor | Acting, Travel, Fitness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
35,036
Followers With Bio
65,960
Followers Without Bio
34.69%
% With Bio
65.31%
% 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 3,096 analyzed77,657
Combined Engagement
46,787
Total Likes
30,870
Total Retweets
15,531
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
0%
With Links
Topical Analysis:
Missing Umar Riaz on the show #UmarRiaz
Let’s all vote for sana and siddharth ❤️
RT @FOX29philly: WAY TO GO! 6-year-old John Oliver just finished his very last chemo treatment and beat leukemia, so his entire school cele…
Killing it Sana @shehnaazshine ❤️
Asim is actually such a cry baby.. he always has some problem with everything and it’s getting so difficult to watch the show , just because he is so evil when he fights and he is fighting every 5 mints. @BiggBoss @ColorsTV
Key Insights & Takeaways
The account frequently highlights specific actors and shows, suggesting a strategic focus on promoting content and collaborators. There is a noticeable emphasis on supporting and promoting certain actors, which may indicate a personal or professional connection. The use of hashtags and direct mentions suggests an effort to engage with followers and increase visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 239,057
- + 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 @Vishal_singh786 reveals an well-established Twitter presence with 239,057 followers. The account demonstrates a content-creator strategy, averaging 146.2 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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