543,511
Followers
34
Following
1,569
Tweets
287.0
Avg Engagement
147
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @neerubajwa'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:2013-02-16
- Verification:No
- Location:World
Data Summary
- Tweets Analyzed:1,562
- Avg Likes per Tweet:212.5
- Avg Retweets per Tweet:74.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,562 tweetsThe account consistently receives high engagement, suggesting a loyal and active follower base. The average likes and retweets per tweet indicate a strong level of interaction.
212.5
Avg Likes/Tweet
74.5
Avg Retweets/Tweet
331,871
Total Likes
116,375
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
109
75th Percentile
34,325
Top Tweet
0.53
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
43.1%
Original
1.1%
Replies
54.9%
Retweets
0.9%
Quotes
0.0%
Threads
0.2%
With Media
57.8%
With Links
58.1%
With #Tags
68.1%
With @Mentions
27.4%
With Emojis
104
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.0%
Weekday Posts
30.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,562 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 857 retweets (55% 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 1,562 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 appears to be interested in politics, social justice, and public campaigns. They are likely active on social media and engaged with current events.
Below Average
Audience Quality
38.7%
Suspicion Index
47.9%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.3%
Empty Bio
61.3%
<10 Tweets
6.1%
Mass Following (>2K)
0.0%
New (<90 days)
82.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.1%
No URL
44.5%
<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.
45,371,267
Total Potential Reach
2
Median Follower Reach
15
75th Percentile Reach
1.3%
>1K followers
0.2%
>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).
18.3%
Creators
9,128 accounts
20.5%
Consumers
10,237 accounts
61.3%
Dormant
30,635 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):
148
Verified Followers
0.15% of total
6,709
Protected Accounts
6.64% 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 |
|---|---|---|---|
| @KapilSharmaK9 | 19,861,397 | Comedian | Comedy, Entertainment, Laughter |
| @JohnCena | 14,105,140 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GippyGrewal | 2,395,177 | Actor | Music, Acting, Comedy |
| @jazzyb | 1,206,472 | Singer | N/A |
| @MilesSTEREOS | 861,604 | Musician | Guitarist, Writer, Producer |
| @ZachBoychuk | 829,839 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @glennkirschner2 | 717,915 | Legal Analyst | Law, Justice, Politics |
| @RVCJ_FB | 638,910 | Media | Entertainment, Humor, Viral |
| @localscale | 612,169 | Platform Developer | impact, acceleration, initiatives |
| @IamMzilikazi | 546,243 | Musician | Pan-African music, Album, Rise |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,670
Followers With Bio
50,329
Followers Without Bio
50.17%
% With Bio
49.83%
% 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 1,562 analyzed96,873
Combined Engagement
32,904
Total Likes
63,969
Total Retweets
19,375
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @UNHumanRights: #India: We call on the authorities and protesters to exercise maximum restraint in ongoing #FarmersProtests. The rights…
#FreeNodeepKaur https://t.co/nOFUPLuHZY
#ModiYesOrNo https://t.co/hM1EiK7RGu
RT @GretaThunberg: Here’s an updated toolkit by people on the ground in India if you want to help. (They removed their previous document as…
RT @diljitdosanjh: Gal PYAR Di Kariye.. Dharm Koi V Ladai Ni Sikhaunda..🙏🏾 Hindu-Sikh-Muslim-Isai-Jaini-Bodhi Sab Bhara Ne 1 Dujey De 🙏🏾…
Key Insights & Takeaways
The user is heavily involved in political and social movements, which drives engagement. Their tweets often include hashtags that align with specific causes or campaigns. They maintain a consistent presence on Twitter, contributing to their follower base and engagement rates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 543,511
- + 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 @neerubajwa reveals an well-established Twitter presence with 543,511 followers. The account demonstrates a content-creator strategy, averaging 287.0 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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