SIDDHARTH JADHAV 🇮🇳
Indian / Marathi Actor... PEOPLE'S CHAMP आपला सिध्दू🙏
104,037
Followers
34
Following
21,111
Tweets
90.5
Avg Engagement
70
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SIDDHARTH23OCT'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:2011-04-22
- Verification:No
- Location:mumbai
Data Summary
- Tweets Analyzed:3,194
- Avg Likes per Tweet:75.8
- Avg Retweets per Tweet:14.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,194 tweetsHis tweets are highly engaging, often receiving a good number of likes and retweets, especially when he shares personal stories and connects with his fans. The use of hashtags like #AamchiMumbai helps in increasing visibility and interaction.
75.8
Avg Likes/Tweet
14.7
Avg Retweets/Tweet
242,207
Total Likes
46,878
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
16
Median Likes
2
Median Retweets
67
75th Percentile
10,703
Top Tweet
0.87
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
25.8%
Original
3.9%
Replies
24.3%
Retweets
46.0%
Quotes
0.0%
Threads
0.6%
With Media
91.8%
With Links
39.3%
With #Tags
51.2%
With @Mentions
38.3%
With Emojis
136
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
1.9
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.5%
Weekday Posts
32.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,194 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 775 retweets (24% 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 3,194 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 followersHis audience primarily consists of Marathi-speaking fans and Bollywood enthusiasts interested in his career and personal insights. The content resonates well with people who appreciate local culture and entertainment.
Below Average
Audience Quality
36.7%
Suspicion Index
45.4%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.8%
Empty Bio
53.5%
<10 Tweets
6.9%
Mass Following (>2K)
0.0%
New (<90 days)
80.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
39.0%
<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.
2,384,205
Total Potential Reach
5
Median Follower Reach
28
75th Percentile Reach
1.5%
>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).
23.7%
Creators
2,372 accounts
22.8%
Consumers
2,281 accounts
53.5%
Dormant
5,347 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):
15
Verified Followers
0.15% of total
793
Protected Accounts
7.93% 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 |
|---|---|---|---|
| @thearvindswami | 1,565,815 | Actor | Movies, Business, Introverted |
| @iamrohitshetty | 34,763 | - | - |
| @MosesSapir | 32,009 | - | - |
| @kamleshsutar | 22,542 | - | - |
| @pallavi_is_here | 13,430 | - | - |
| @Bhushanadhau1 | 12,192 | - | - |
| @Pnayan3 | 10,268 | - | - |
| @FoodOutta | 5,850 | - | - |
| @ChivateMangesh | 5,286 | - | - |
| @rakeshsalunke_ | 5,023 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,818
Followers With Bio
5,182
Followers Without Bio
48.18%
% With Bio
51.82%
% 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 3,194 analyzed24,011
Combined Engagement
4,743
Total Likes
19,268
Total Retweets
4,802
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @DrParulSharma1: Anyone who can’t afford Covid consults,pl DM with phone number. Am dedicating few hours morning and late evening for Covid home management. Colleagues (anywhere in India) experienced in Covid care,pl message if u r willing to take calls n help patients n their
RT @MumbaiPolice: We request Mumbaikars to stay calm & rest assured that all emergency services & essential commodities will be available throughout lockdown. The shops will remain open & you may commute as per guidelines to nearby stores. #Dial100 if you face any in
Kammaaallll bhaiiii @omraut bhavaaaa... all the verryyy bestttttttt https://t.co/ezQmdeYes8
RT @ndtv: #Maharashtra, #CovidVaccine https://t.co/PHHKsFkZwu
अशोक सराफ... माझ्यासारख्या कित्तेक नवोदित कलाकारांसाठी असलेले द्रोणाचार्य आणि त्यांची मूर्ती मनात बसवून काम करू पाहणारे आम्ही एकलव्य.... आयुष्यातला हा खूप मोठा क्षण आहे जिथे त्यांच्या आयुष्याची कहाणी त्यांच्या समोर मांडण्याची संधी मला मिळाली ... Continue.... https://t.co/Wt
Key Insights & Takeaways
He often shares personal and emotional stories that connect with his audience. He highlights his journey as a new actor and the challenges he faces. He uses local culture and Mumbai as a central theme in his tweets.
Strengths
- + Established follower base of 104,037
- + 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 @SIDDHARTH23OCT reveals an growing Twitter presence with 104,037 followers. The account demonstrates a content-creator strategy, averaging 90.5 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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