SivaCherry

SivaCherry

@sivacherry9

/ @alwaysramcharan / @janasenaparty

Hyderabad, India https://t.co/wFLOXhPH6q Joined 2010-06-25 Date of Analysis: Dec 16, 2025

38,800

Followers

804

Following

49,367

Tweets

1,438.0

Avg Engagement

35

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @sivacherry9'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: Mid-Tier (10K+)
  • Account Age:2010-06-25
  • Verification:Yes
  • Location:Hyderabad, India

Data Summary

  • Tweets Analyzed:598
  • Avg Likes per Tweet:826.5
  • Avg Retweets per Tweet:611.6
  • Followers Analyzed:33,453

Engagement Analysis

Based on 598 tweets

The account has a high level of engagement, with most tweets receiving significant likes and retweets. The content is often emotional and heartfelt, which resonates well with the audience.

826.5

Avg Likes/Tweet

611.6

Avg Retweets/Tweet

494,219

Total Likes

365,732

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

211

Median Likes

188

Median Retweets

1,974

75th Percentile

24,434

Top Tweet

37.06

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

50.3%

Original

5.0%

Replies

40.5%

Retweets

4.2%

Quotes

0.0%

Threads

0.0%

With Media

66.1%

With Links

75.8%

With #Tags

86.0%

With @Mentions

62.7%

With Emojis

167

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.1

Reply/Original Ratio

0.1

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

81.1%

Weekday Posts

18.9%

Weekend Posts

Top Hashtags

#ramcharan (147) #globalstarramcharan (143) #orangespecialshows (83) #hbdglobalstarramcharan (71) #globalstar (58) #manofmassesramcharan (49) #ramcharanbirthdaycelebrations (48) #ramcharanbdaysplcdp (39) #manofmassesbdaymonth (36) #orange (32)

Most Mentioned

@alwaysramcharan (352) @rcyuvashakthi (87) @upasanakonidela (26) @kchirutweets (16) @nagababuoffl (15) @sivacherry9 (14) @mediayouwe (14) @rrrmovie (11) @rcyuvashkthiusa (9) @tv24studio (8)

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Content Strategy Analysis

Based on 598 tweets

Content Type Distribution

Content Breakdown

Original Tweets 301 (50%)
Replies 30 (5%)
Retweets 242 (40%)
Quote Tweets 25 (4%)

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 242 retweets (40% 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 598 tweets

Engagement 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 33,453 followers

The audience appears to be fans of Bollywood and Telugu cinema, particularly those who follow megastars like Chiranjeevi and Ram Charan. The audience is likely to be young and enthusiastic about celebrity culture.

Average

Audience Quality

25.0%

Suspicion Index

29.2%

Low-Quality %

22

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

42.7%

Empty Bio

26.0%

<10 Tweets

8.3%

Mass Following (>2K)

0.0%

New (<90 days)

59.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.3%

No URL

15.8%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

15,833,957

Total Potential Reach

22

Median Follower Reach

95

75th Percentile Reach

3.8%

>1K followers

0.4%

>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).

51.9%

Creators

17,362 accounts

22.1%

Consumers

7,392 accounts

26.0%

Dormant

8,699 accounts

138

Verified Followers

0.41% of total

4.1%

Professional Bios

founder, dev, analyst, etc.

0.07

Median Follow Ratio

follower/following

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):

Hyderabad, India (2,115) India (1,007) Andhra Pradesh, India (365) Bengaluru, India (364) Hyderabad (347) Vijayawada, India (301) Vishakhapatnam, India (239) Guntur, India (156) Chennai, India (145) Kurnool, India (142)

138

Verified Followers

0.41% of total

2,367

Protected Accounts

7.08% 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
@SinghLions 1,335,653 Restaurateur Food, Travel, Influencer
@sundeepkishan 843,594 Actor Dreaming, Exploring, Adventure
@rameshlaus 767,596 Entertainment Tracker Entertainment, Hollywood, Bollywood
@djkingassassin 474,670 DJ Music, Club, Producer
@LMKMovieManiac 421,824 Film Critic Film, Social media, Sports
@IetsOTT 382,050 Media Analyst Movies, Series, Gaming
@Gopimohan 369,942 Screenwriter Movies, Comedy, Entertainment
@SKNonline 340,711 Film Producer Movies, Producer, Telugu
@thinkmusicindia 316,186 Music Promoter South Indian Film Music
@23_rahulr 307,611 Filmmaker Film, sports, enthusiast

Top Keywords in Follower Bios

love (815) jai (748) charan (652) indian (592) hard (583) mega (546) ram (531) life (522) ramcharan (478) janasena (464)

Top Hashtags in Follower Bios

#ramcharan (129) #janasena (68) #pawankalyan (55) #rc15 (46) #pspk (42) #prabhas (41) #manofmassesramcharan (36) #rc (34) #megastar (27) #alluarjun (26)

19,177

Followers With Bio

14,276

Followers Without Bio

57.33%

% With Bio

42.67%

% 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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Viral Tweets

Top 5 by likes+RTs from 598 analyzed

93,380

Combined Engagement

0

Total Likes

93,380

Total Retweets

18,676

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Celebrity Admiration Fan Engagement Entertainment Industry Emotional Expression Social Media Promotion

Key Insights & Takeaways

The account frequently highlights the achievements of celebrities, especially Ram Charan, indicating a strong admiration for him. The use of hashtags and emojis suggests a focus on creating a vibrant and emotional online presence. The account is likely used to build and maintain a loyal fan base around specific celebrities.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 38,800
  • + 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 @sivacherry9 reveals an exceptionally influential Twitter presence with 38,800 followers. The account demonstrates a content-creator strategy, averaging 1,438.0 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025