Amitabh Bachchan
"तुमने हमें पूज पूज कर पत्थर कर डाला ; वे जो हमपर जुमले कसते हैं हमें ज़िंदा तो समझते हैं "~ हरिवंश राय बच्चन
48,712,695
Followers
1,820
Following
70,604
Tweets
7,876.7
Avg Engagement
29,606
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SrBachchan'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:2010-05-18
- Verification:No
- Location:Mumbai, India
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:7,465.9
- Avg Retweets per Tweet:410.8
- Followers Analyzed:50,000
- Following Analyzed:1,807
Engagement Analysis
Based on 3,245 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is driven by personal and emotional content.
7,465.9
Avg Likes/Tweet
410.8
Avg Retweets/Tweet
24,226,893
Total Likes
1,333,155
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2,102
Median Likes
168
Median Retweets
10,028
75th Percentile
488,142
Top Tweet
0.16
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
50.0%
Original
20.1%
Replies
17.0%
Retweets
12.9%
Quotes
0.0%
Threads
0.2%
With Media
52.5%
With Links
20.0%
With #Tags
44.2%
With @Mentions
45.8%
With Emojis
120
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.75
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.9%
Weekday Posts
34.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 553 retweets (17% 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 3,245 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 primarily consists of fans and followers interested in his personal life and career. They are engaged with his health updates and family-related posts.
Poor
Audience Quality
50.2%
Suspicion Index
81.4%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
83.6%
Empty Bio
90.3%
<10 Tweets
0.3%
Mass Following (>2K)
0.0%
New (<90 days)
91.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.0%
No URL
79.3%
<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.
1,089,742
Total Potential Reach
0
Median Follower Reach
2
75th Percentile Reach
0.2%
>1K followers
0.0%
>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).
2.8%
Creators
1,402 accounts
6.9%
Consumers
3,440 accounts
90.3%
Dormant
45,158 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):
53
Verified Followers
0.05% of total
9,113
Protected Accounts
9.02% 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 |
|---|---|---|---|
| @ShehuSani | 3,062,435 | Politician | Human Rights, Author, PanAfricanist |
| @Matru_Bhoomi | 184,624 | - | - |
| @NithyaMenenOffl | 164,956 | Actress | Actress, Movies, Music |
| @IPS_Prahlad | 125,763 | Police Officer | Agriculture, Social Change, Civil Service |
| @Aarshit_mittal | 117,695 | - | - |
| @TheJigarThakkar | 100,691 | Actor | Entertainment, Food, Travel |
| @SolSneakyNinja | 62,744 | - | - |
| @Darknesari | 53,896 | - | - |
| @bjorkanism_real | 52,612 | Hacker | Anonymous, Hacker, Bjork |
| @B4blazeNews | 50,555 | Entertainment News | Regional cinema, box office, OTT |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
18,066
Followers With Bio
82,923
Followers Without Bio
17.89%
% With Bio
82.11%
% 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 3,245 analyzed1,182,377
Combined Engagement
1,076,091
Total Likes
106,286
Total Retweets
236,475
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
T 3590 -I have tested CoviD positive .. shifted to Hospital .. hospital informing authorities .. family and staff undergone tests , results awaited .. All that have been in close proximity to me in the last 10 days are requested to please get themselves tested !
T 3591 - ... to them that have expressed their concern, their prayers and their wishes for Abhishek Aishwarya Aaradhya and me .. my unending gratitude and love ..❤️ वो सब जिन्होंने अपनी प्रार्थनाएँ अभिषेक, ऐश्वर्या आराध्या और मुझे , व्यक्त की हैं , मेरा हृदय पूर्वक आभार 🌹
T 3613 - I have tested CoVid- have been discharged. I am back home in solitary quarantine. Grace of the Almighty, blessings of Ma Babuji, prayers & duas of near & dear & friends fans EF .. and the excellent care and nursing at Nanavati made it possible for me to see
T 3592 - It shall not be possible for me to acknowledge and respond to all the prayers and wishes expressed by them that have shown concern towards Abhishek, Aishwarya, Aaradhya and me .. I put my hands together and say ..🙏 Thank you for your eternal love and affection ..
T 3607 - T 3607 - अपनी छोटी बिटिया , और बहुरानी को ,अस्पताल से मुक्ति मिलने पर ; मैं रोक ना पाया अपने आंसू 🙏 प्रभु तेरी कृपा अपार , अपरम्पार 🙏🙏
Network & Following Analysis
Based on 1,807 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
60.1%
Verified Accounts
64.6%
High Authority (>50K)
0.5%
Dormant Accounts
1.0%
Low Quality
305,738
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
25.7%
Individuals
464 accounts
70.7%
Brands/Orgs
1,277 accounts
3.7%
Media/News
66 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @ Barack Obama | 129,851,271 | - | - |
| @ Rihanna | 102,294,957 | - | - |
| @ Cristiano Ronaldo | 91,434,367 | - | - |
| @ Lady Gaga | 83,996,591 | - | - |
| @ Ellen DeGeneres | 79,204,431 | - | - |
| @ YouTube | 73,024,573 | - | - |
| @ Narendra Modi | 66,226,905 | - | - |
| @ Justin Timberlake | 64,183,675 | - | - |
| @ CNN Breaking News | 61,052,731 | - | - |
| 59,308,008 | - | - |
Key Insights & Takeaways
His health updates are a major focus and drive engagement Personal gratitude and family matters are central themes Spiritual and religious references are frequently included in his tweets
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 48,712,695
- + 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 @SrBachchan reveals an exceptionally influential Twitter presence with 48,712,695 followers. The account demonstrates a content-creator strategy, averaging 7,876.7 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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