764,848
Followers
151
Following
2,855
Tweets
299.2
Avg Engagement
124
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kingaliasgar'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:2013-07-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,685
- Avg Likes per Tweet:209.4
- Avg Retweets per Tweet:89.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,685 tweetsThe account consistently receives high likes and retweets, indicating strong audience interaction and interest in the content posted.
209.4
Avg Likes/Tweet
89.8
Avg Retweets/Tweet
562,113
Total Likes
241,162
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
8
Median Retweets
156
75th Percentile
23,067
Top Tweet
0.39
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
34.8%
Original
23.8%
Replies
40.0%
Retweets
1.5%
Quotes
0.0%
Threads
0.1%
With Media
35.6%
With Links
22.9%
With #Tags
73.1%
With @Mentions
42.0%
With Emojis
95
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.68
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.5%
Weekday Posts
37.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,685 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 1,073 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 2,685 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 fitness, sports, and personal development, with a focus on relatable and inspiring content.
Average
Audience Quality
34.1%
Suspicion Index
35.4%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.6%
Empty Bio
44.0%
<10 Tweets
7.4%
Mass Following (>2K)
0.0%
New (<90 days)
84.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.3%
No URL
27.1%
<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.
19,042,397
Total Potential Reach
7
Median Follower Reach
29
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).
26.0%
Creators
13,001 accounts
30.0%
Consumers
15,014 accounts
44.0%
Dormant
21,985 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):
89
Verified Followers
0.09% of total
7,789
Protected Accounts
7.71% 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 |
|---|---|---|---|
| @JohnCena | 14,105,353 | Wrestler | Wrestling, Motivation, Self-promotion |
| @IndiaHistorypic | 1,375,871 | Historian | - |
| @SinghLions | 1,335,029 | Restaurateur | Food, Travel, Influencer |
| @SunielVShetty | 1,265,506 | Actor | Sports, Acting, Humanitarian |
| @thebetterindia | 801,562 | Media | Uplifting stories, social impact, India |
| @IamMzilikazi | 545,199 | Musician | Pan-African music, Album, Rise |
| @recycleindia | 399,736 | Environmental Activist | recycling, waste disposal, clean India |
| @RonitBoseRoy | 318,238 | Student | Life, Learning, Growth |
| @imranirampal | 235,304 | Athlete | Hockey, Leadership, Awards |
| @KOMINERT | 223,405 | Talent Agent | Music Promotion, Talent Agents, RnB/Soul |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,741
Followers With Bio
42,257
Followers Without Bio
58.16%
% With Bio
41.84%
% 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 2,685 analyzed82,602
Combined Engagement
27,148
Total Likes
55,454
Total Retweets
16,520
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @BeingSalmanKhan: My Family saw #Dangal today evening and thought it was a much better film than #Sultan. Love u personally Aamir but ha…
RT @SrideviBKapoor: https://t.co/VNgw7FY9rF
Master Mind “7”.. what a Finisher @msdhoni 🤩🏏
RT @paulocoelho: Haters don't really hate you. They hate themselves, because you're a reflection of what they wish to be
Lockdown se ab tak itny he Body bana paya ...should I continue wit my workout ???😉😎🏋️♀️💪 https://t.co/xvHLK8mKlr
Key Insights & Takeaways
The user frequently shares motivational fitness content, which likely drives engagement. They also engage with sports personalities and public figures, which helps in building a broader audience. Personal and relatable tweets, such as asking for workout advice, encourage direct interaction with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 764,848
- + 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 @kingaliasgar reveals an well-established Twitter presence with 764,848 followers. The account demonstrates a content-creator strategy, averaging 299.2 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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