209,919
Followers
52
Following
350
Tweets
2,591.9
Avg Engagement
82
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Nivetha_Tweets'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:2020-04-06
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:315
- Avg Likes per Tweet:1,507.8
- Avg Retweets per Tweet:1,084.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 315 tweetsThe account has strong engagement metrics, indicating a loyal and active follower base. The high average likes and retweets suggest that the content resonates well with the audience.
1,507.8
Avg Likes/Tweet
1,084.1
Avg Retweets/Tweet
474,959
Total Likes
341,495
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
328
Median Likes
26
Median Retweets
1,258
75th Percentile
287,479
Top Tweet
12.35
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
45.1%
Original
20.3%
Replies
25.7%
Retweets
8.9%
Quotes
0.0%
Threads
0.3%
With Media
51.1%
With Links
33.7%
With #Tags
51.4%
With @Mentions
36.2%
With Emojis
103
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.45
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.0%
Weekday Posts
27.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 315 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 81 retweets (26% 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 315 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 likely includes fans of TV shows like Breaking Bad and sports enthusiasts, given the nature of the tweets. The audience seems to be interested in entertainment and opinion-based content.
Below Average
Audience Quality
37.9%
Suspicion Index
49.3%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.0%
Empty Bio
52.3%
<10 Tweets
5.6%
Mass Following (>2K)
0.0%
New (<90 days)
83.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.3%
No URL
36.7%
<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.
9,955,100
Total Potential Reach
8
Median Follower Reach
28
75th Percentile Reach
1.0%
>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).
23.5%
Creators
11,732 accounts
24.2%
Consumers
12,108 accounts
52.3%
Dormant
26,160 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):
23
Verified Followers
0.02% of total
9,870
Protected Accounts
9.77% 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 | 14,106,660 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,238 | - | - |
| @Premgiamaren | 3,083,776 | Actor | Movies, Music, Love |
| @MilesSTEREOS | 862,589 | Musician | Guitarist, Writer, Producer |
| @RVCJ_FB | 627,055 | Media | Entertainment, Humor, Viral |
| @recycleindia | 399,204 | Environmental Activist | recycling, waste disposal, clean India |
| @siima | 280,021 | Awards Show | Movies, Awards, South India |
| @robtswthrayguns | 259,941 | Inventor | synthwave, NFT, NSFW |
| @_off_beat_ | 215,184 | Celebrity Photographer | Celeb Pics, Collections, Abusers |
| @MiLadiesss | 181,968 | Fashion Influencer | Fashion, Class, Elegance |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,612
Followers With Bio
59,386
Followers Without Bio
41.2%
% With Bio
58.8%
% 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 315 analyzed382,062
Combined Engagement
91,113
Total Likes
290,949
Total Retweets
76,412
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @rihanna: why aren’t we talking about this?! #FarmersProtest https://t.co/obmIlXhK9S
Black or Green? https://t.co/FCxyt23pZK
Finished Breaking Bad.. Just WOW 👏🏼 What next?
Cricket fan or Football fan?
🖤 https://t.co/haZkBpf44j
Key Insights & Takeaways
The account frequently engages with popular TV shows and entertainment topics. The content often invites personal opinions and interactions from followers. The audience is likely interested in entertainment and sports discussions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 209,919
- + 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 @Nivetha_Tweets reveals an exceptionally influential Twitter presence with 209,919 followers. The account demonstrates a content-creator strategy, averaging 2,591.9 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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