Faisal Khan
Dancer, Actor & Learner :)
59,119
Followers
92
Following
2,922
Tweets
258.0
Avg Engagement
56
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @faisalkofficial'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: Mid-Tier (10K+)
- Account Age:2014-11-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,773
- Avg Likes per Tweet:188.4
- Avg Retweets per Tweet:69.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,773 tweetsThe account has an average of 8,098 likes and 3,497 retweets per tweet, indicating a highly engaged and active follower base.
188.4
Avg Likes/Tweet
69.7
Avg Retweets/Tweet
522,298
Total Likes
193,143
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
37
Median Likes
22
Median Retweets
254
75th Percentile
21,211
Top Tweet
4.36
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
41.3%
Original
5.7%
Replies
38.2%
Retweets
14.7%
Quotes
0.0%
Threads
0.2%
With Media
77.3%
With Links
60.9%
With #Tags
63.0%
With @Mentions
33.1%
With Emojis
115
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.4%
Weekday Posts
37.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,773 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 1,059 retweets (38% 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 2,773 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 10,000 followersThe audience primarily consists of fans of reality TV shows and celebrities, especially Sidharth Shukla. They are interested in entertainment news and celebrity interactions.
Average
Audience Quality
28.4%
Suspicion Index
33.2%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.5%
Empty Bio
34.1%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
67.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
21.9%
<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.
2,173,854
Total Potential Reach
8
Median Follower Reach
46
75th Percentile Reach
1.9%
>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).
43.2%
Creators
4,319 accounts
22.7%
Consumers
2,272 accounts
34.1%
Dormant
3,409 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):
13
Verified Followers
0.13% of total
891
Protected Accounts
8.91% of total
4 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 |
|---|---|---|---|
| @shraddhadas43 | 536,377 | Actor | Actor, Bodhisattva, Workaholic |
| @RealVinduSingh | 299,308 | Actor | Actor, Producer, Entrepreneur |
| @chaudhury6 | 112,311 | Motivational Speaker | Mistakes, Learning, Life |
| @arjunbhatigolf | 80,838 | Golfer | Golf, Junior Golf, Bhagwan Krishna |
| @JaeyGajeraIndia | 49,327 | Actor | Bollywood, Actor, Producer |
| @ashnoorkaur03 | 43,530 | Actor | Acting, Self-love, Business |
| @SonamTillani | 39,485 | - | - |
| @iamrohitshetty | 34,920 | - | - |
| @Palash_Muchhal | 17,961 | - | - |
| @SirfRoop | 13,976 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,545
Followers With Bio
4,455
Followers Without Bio
55.45%
% With Bio
44.55%
% 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 2,773 analyzed72,738
Combined Engagement
51,316
Total Likes
21,422
Total Retweets
14,548
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
It’s time to vote for #SidharthShukla @sidharth_shukla https://t.co/9gPhQOlLz4
What does this guy Asim wants? I'm not getting why is he poking Sidharth Shukla unnecessarily ? #BiggBoss13 #SidharthShukla @ColorsTV
Bhai You've never failed to amaze since the day 1 of #BB13 @sidharth_shukla #AlwaysByYourSideSid @BigBoss @ColorsTV Win the game!
Congratulations @sidharth_shukla @ColorsTV #BB13WinnerSid https://t.co/5BSjbUfE2h
Shiv hi jeetega 🤞🏻 Praying for you brother ❤️
Key Insights & Takeaways
The account frequently promotes and supports Sidharth Shukla, suggesting a strong fanbase and loyalty towards him. Content often includes questions and discussions about celebrity behavior, indicating a focus on entertainment gossip and analysis. The use of hashtags and mentions of TV shows like BiggBoss indicates a strategic approach to stay relevant and engage with trending topics.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,119
- + 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 @faisalkofficial reveals an well-established Twitter presence with 59,119 followers. The account demonstrates a content-creator strategy, averaging 258.0 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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