Manoj Joshi
Actor | [email protected]
276,906
Followers
783
Following
3,729
Tweets
2,372.4
Avg Engagement
78
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @actormanojjoshi'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:2014-03-25
- Verification:No
- Location:Mumbai
Data Summary
- Tweets Analyzed:3,189
- Avg Likes per Tweet:1,808.0
- Avg Retweets per Tweet:564.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,189 tweetsHis tweets receive an average of 76,709 likes and 10,860 retweets, showing strong audience interaction. The content is well-received and often shared, indicating a loyal following.
1,808.0
Avg Likes/Tweet
564.5
Avg Retweets/Tweet
5,765,577
Total Likes
1,800,161
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
456
75th Percentile
113,158
Top Tweet
8.57
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
24.8%
Original
19.6%
Replies
38.0%
Retweets
17.5%
Quotes
0.0%
Threads
0.1%
With Media
46.0%
With Links
27.0%
With #Tags
66.3%
With @Mentions
7.0%
With Emojis
100
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.79
Reply/Original Ratio
0.46
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.1%
Weekday Posts
23.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,189 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 1,213 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 3,189 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 appears to be a mix of general public and followers interested in entertainment and current affairs. The engagement metrics suggest a highly interactive and active community.
Average
Audience Quality
25.4%
Suspicion Index
25.0%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.6%
Empty Bio
20.2%
<10 Tweets
13.5%
Mass Following (>2K)
0.0%
New (<90 days)
64.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
11.3%
<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.
47,416,601
Total Potential Reach
26
Median Follower Reach
104
75th Percentile Reach
4.0%
>1K followers
0.3%
>10K followers
0.1%
>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).
55.1%
Creators
27,528 accounts
24.7%
Consumers
12,367 accounts
20.2%
Dormant
10,105 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):
298
Verified Followers
0.3% of total
6,857
Protected Accounts
6.86% 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 |
|---|---|---|---|
| @JohnCena | 14,102,118 | Wrestler | Wrestling, Motivation, Self-promotion |
| @smritiirani | 12,727,455 | Politician | Women's empowerment, Child welfare, Politics |
| @GippyGrewal | 2,395,163 | Actor | Music, Acting, Comedy |
| @madhukishwar | 1,967,447 | Journalist | Factarian, Truthwinger, Human rights |
| @SinghLions | 1,334,518 | Restaurateur | Food, Travel, Influencer |
| @awasthis | 1,093,074 | Journalist | News, Journalism, Media |
| @iAmitBhadana | 792,678 | Comedian | Comedy, Entertainment, Happiness |
| @unkonfined | 659,094 | Influencer | - |
| @BabitaPhogat | 656,507 | Wrestler | Wrestling, Olympics, Champion |
| @RVCJ_FB | 639,493 | Media | Entertainment, Humor, Viral |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,456
Followers With Bio
35,544
Followers Without Bio
64.46%
% With Bio
35.54%
% 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 3,189 analyzed486,338
Combined Engagement
430,390
Total Likes
55,948
Total Retweets
97,268
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
हिम्मत कैसे तोड़ोगे?
GDP कोई कांग्रेस थोड़ी है, जो गिर के उठ ही ना पाए 😝
‘राफ़ेल’ का रेट और ‘राम मंदिर’ की डेट पूछने वाले आजकल दिखाई नहीं देते। बस ऐसे ही कह रहा हूँ 😝
एक नारी सब पर भारी।
हाँ तो मंदिर निर्माण की तारीख़ नोट कर लो — 26 मई 2020 जय श्री राम।
Key Insights & Takeaways
His content often includes a mix of humor and social commentary, which resonates with his audience. He frequently uses emojis and casual language to engage his followers. His tweets often touch on political and national issues, which may be a key part of his content strategy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 276,906
- + 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 @actormanojjoshi reveals an exceptionally influential Twitter presence with 276,906 followers. The account demonstrates a content-creator strategy, averaging 2,372.4 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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