Ritesh Sidhwani
Film Maker
552,851
Followers
129
Following
3,698
Tweets
175.1
Avg Engagement
305
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ritesh_sid'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:2011-10-13
- Verification:No
- Location:Mumbai-India
Data Summary
- Tweets Analyzed:3,172
- Avg Likes per Tweet:105.1
- Avg Retweets per Tweet:70.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,172 tweetsHis tweets typically receive high engagement with an average of 4,718 likes and 1,353 retweets per post.
105.1
Avg Likes/Tweet
70.0
Avg Retweets/Tweet
333,420
Total Likes
221,990
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
6
Median Retweets
113
75th Percentile
10,993
Top Tweet
0.32
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
52.1%
Original
31.1%
Replies
15.5%
Retweets
1.2%
Quotes
0.0%
Threads
0.4%
With Media
46.9%
With Links
53.3%
With #Tags
71.6%
With @Mentions
8.4%
With Emojis
113
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.6
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.5%
Weekday Posts
24.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,172 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 493 retweets (16% 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 3,172 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 includes film enthusiasts, industry professionals, and fans of his collaborators like SRK and Alia Bhatt.
Average
Audience Quality
32.3%
Suspicion Index
29.2%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.9%
Empty Bio
35.6%
<10 Tweets
15.2%
Mass Following (>2K)
0.0%
New (<90 days)
79.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
21.5%
<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.
58,373,236
Total Potential Reach
15
Median Follower Reach
63
75th Percentile Reach
2.2%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
36.1%
Creators
18,047 accounts
28.3%
Consumers
14,130 accounts
35.6%
Dormant
17,823 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):
242
Verified Followers
0.24% of total
5,958
Protected Accounts
5.9% 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 |
|---|---|---|---|
| @JohnCena | 14,105,133 | Wrestler | Wrestling, Motivation, Self-promotion |
| @WhoSunilGrover | 6,104,606 | Comedian | Comedy, Acting, Entertainment |
| @LaraDutta | 3,264,878 | Actress | Fashion, Beauty, Motherhood |
| @vikramchandra | 2,870,114 | Founder | - |
| @vivekoberoi | 2,382,476 | Actor | Business, Enquiries, TagTalents |
| @DianaPenty | 1,691,355 | Writer | Writing, Editing, Creativity |
| @Vedhika4u | 1,440,510 | Actor | Movies, Travel, Fitness |
| @ShirishKunder | 1,415,666 | Filmmaker | Filmmaking, Writing, Directing |
| @KapilMishra_IND | 1,404,796 | Politician | BJP, Hindu, Unity |
| @SinghLions | 1,334,995 | Restaurateur | Food, Travel, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,760
Followers With Bio
50,239
Followers Without Bio
50.26%
% With Bio
49.74%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,172 analyzed45,792
Combined Engagement
23,589
Total Likes
22,203
Total Retweets
9,158
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @sushant_says: This is an appeal friends. My younger Sister Sofiya has been diagnosed with CIDP. An auto-immune disorder, the only treat…
Meet the bowling champions #AboutLastNight #Alibaug @iamsrk @aliaa08 @deepikapadukone https://t.co/pg47adom6I
RT @Javedakhtarjadu: Who was Asifa ? She was an eight years old daughter of Bakerwals. Who are Bakerwals ? A nomad tribe who when spotted…
An evening with Guddu, Tripathis and... wait! Is that Bade or Chhote Tyagi? ;) #Mirzapur https://t.co/oC0bpGq3mz
100% focus even when he’s putting pen to paper (err.. fingers to keyboard) @FarOutAkhtar is back in writer mode after a long hiatus. Guess what he’s working on… https://t.co/ORd0PGF358
Key Insights & Takeaways
He frequently shares behind-the-scenes content and interacts with fans and collaborators. His tweets often include hashtags and links to promote his work and events. He maintains a professional yet approachable presence on the platform.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 552,851
- + 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 @ritesh_sid reveals an well-established Twitter presence with 552,851 followers. The account demonstrates a content-creator strategy, averaging 175.1 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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