Jackie Shroff
@pedlagaobhidu https://kishushroff.joinmy.app/
515,237
Followers
84
Following
1,676
Tweets
472.8
Avg Engagement
291
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bindasbhidu'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:2009-02-19
- Verification:No
- Location:Mumbai, India
Data Summary
- Tweets Analyzed:1,459
- Avg Likes per Tweet:416.4
- Avg Retweets per Tweet:56.4
- Followers Analyzed:50,000
- Following Analyzed:77
Engagement Analysis
Based on 1,459 tweetsTheir tweets receive a high average number of likes and retweets, indicating strong audience interaction. The content is likely shared widely due to its emotional and relatable nature.
416.4
Avg Likes/Tweet
56.4
Avg Retweets/Tweet
607,546
Total Likes
82,263
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
74
Median Likes
12
Median Retweets
351
75th Percentile
15,668
Top Tweet
0.92
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
38.8%
Original
44.2%
Replies
14.9%
Retweets
2.1%
Quotes
0.0%
Threads
0.3%
With Media
41.4%
With Links
39.2%
With #Tags
76.8%
With @Mentions
31.7%
With Emojis
96
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.14
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.9%
Weekday Posts
22.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,459 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 217 retweets (15% 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 1,459 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 followersTheir audience appears to be emotionally connected individuals who appreciate heartfelt and sincere content. They likely engage with a mix of personal stories and festive messages.
Below Average
Audience Quality
37.1%
Suspicion Index
44.1%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.6%
Empty Bio
51.4%
<10 Tweets
5.6%
Mass Following (>2K)
0.0%
New (<90 days)
85.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
33.6%
<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.
38,631,741
Total Potential Reach
7
Median Follower Reach
27
75th Percentile Reach
1.1%
>1K followers
0.1%
>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).
22.7%
Creators
11,353 accounts
25.9%
Consumers
12,956 accounts
51.4%
Dormant
25,691 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):
191
Verified Followers
0.19% of total
7,409
Protected Accounts
7.34% of total
3 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 | 14,105,047 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SunnyLeone | 6,676,055 | Entertainer | Fashion, Beauty, Bollywood |
| @Suhelseth | 4,663,443 | Marketing Consultant | Food, Marketing, Writing |
| @rampalarjun | 4,442,476 | Actor | Music, Fate, Inspiration |
| @NetflixIndia | 1,785,163 | Customer service | Movies, TV shows, Customer service |
| @9xmHaqSe | 1,662,422 | Entertainment | Bollywood, Music, Jugnu |
| @fayedsouza | 1,103,825 | Journalist | Journalism, Entrepreneurship, Environment |
| @TheRajKundra | 725,485 | - | - |
| @RVCJ_FB | 639,154 | Media | Entertainment, Humor, Viral |
| @IamMzilikazi | 546,336 | Musician | Pan-African music, Album, Rise |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,279
Followers With Bio
49,719
Followers Without Bio
50.77%
% With Bio
49.23%
% 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 1,459 analyzed71,071
Combined Engagement
67,710
Total Likes
3,361
Total Retweets
14,214
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RIP 🙏💔 https://t.co/f0SDyq1N36
Buy some happiness #HappyDiwali 🪔 https://t.co/WwlYZM6IcV
Always in my heart Chintuji #RIP 🙏
Do Good Bhidus ✌ https://t.co/lptlLLoS8I
@akshaykumar Asli stars respects
Network & Following Analysis
Based on 77 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
58.4%
Verified Accounts
61.0%
High Authority (>50K)
0.0%
Dormant Accounts
2.6%
Low Quality
107,758
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
33.8%
Individuals
26 accounts
66.2%
Brands/Orgs
51 accounts
0.0%
Media/News
0 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| 59,235,395 | - | - | |
| @ Amitabh Bachchan | 45,730,001 | - | - |
| @ Salman Khan | 42,490,233 | - | - |
| @ Shah Rukh Khan | 41,767,547 | - | - |
| @ Akshay Kumar | 41,586,089 | - | - |
| @ PRIYANKA | 27,181,071 | - | - |
| @ Anupam Kher | 18,732,985 | - | - |
| @ Karan Johar | 17,217,894 | - | - |
| @ Abhishek Bachchan | 15,431,926 | - | - |
| @ Jacqueline Fernandez | 15,104,492 | - | - |
Key Insights & Takeaways
Their content is highly emotional and personal, which drives engagement. They often share messages of condolence and celebration, indicating a focus on human experiences. Their use of hashtags like #HappyDiwali suggests an interest in connecting with cultural and festive themes.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 515,237
- + High community engagement through conversations
- + 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 @bindasbhidu reveals an well-established Twitter presence with 515,237 followers. The account demonstrates a conversation-first approach, averaging 472.8 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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