1,850,892
Followers
769
Following
11,640
Tweets
854.8
Avg Engagement
540
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AksharPathak'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: Mega Influencer (1M+)
- Account Age:2011-03-04
- Verification:No
- Location:New Delhi, India
Data Summary
- Tweets Analyzed:3,197
- Avg Likes per Tweet:700.8
- Avg Retweets per Tweet:154.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,197 tweetsAksharPathak's tweets consistently receive a high number of likes and retweets, indicating strong audience interaction. Their content is well-received and shared widely across the platform.
700.8
Avg Likes/Tweet
154.0
Avg Retweets/Tweet
2,240,505
Total Likes
492,301
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
135
Median Likes
61
Median Retweets
894
75th Percentile
36,034
Top Tweet
0.46
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
63.2%
Original
32.3%
Replies
4.1%
Retweets
0.4%
Quotes
0.0%
Threads
0.9%
With Media
24.8%
With Links
3.9%
With #Tags
32.6%
With @Mentions
4.8%
With Emojis
114
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.51
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.9%
Weekday Posts
15.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,197 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 131 retweets (4% 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 3,197 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 primarily consists of young adults and teenagers who enjoy light-hearted and funny content. They are likely interested in pop culture, tech, and relatable humor.
Average
Audience Quality
23.0%
Suspicion Index
26.4%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.0%
Empty Bio
28.9%
<10 Tweets
6.4%
Mass Following (>2K)
0.0%
New (<90 days)
52.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.3%
No URL
18.7%
<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.
30,586,459
Total Potential Reach
20
Median Follower Reach
73
75th Percentile Reach
2.7%
>1K followers
0.3%
>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).
45.5%
Creators
22,731 accounts
25.6%
Consumers
12,822 accounts
28.9%
Dormant
14,447 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):
551
Verified Followers
0.55% of total
8,945
Protected Accounts
8.95% of total
6 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 | 14,105,490 | Wrestler | Wrestling, Motivation, Self-promotion |
| @anjanaomkashyap | 4,783,543 | Journalist | News, Journalism, Politics |
| @SinghLions | 1,335,277 | Restaurateur | Food, Travel, Influencer |
| @Haqeeqat_TV | 877,229 | Media Personality | Pakistan, YouTube, News |
| @thebetterindia | 801,398 | Media | Uplifting stories, social impact, India |
| @manakgupta | 800,656 | Journalist | News, Journalism, Egalitarianism |
| @SreenivasanJain | 633,265 | Journalist | News, Journalism, Politics |
| @Nushrratt | 621,569 | Actor | Movies, Acting, Fitness |
| @JhaSanjay | 570,990 | Author | Politics, Writing, Chess |
| @recycleindia | 399,631 | Environmental Activist | recycling, waste disposal, clean India |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
66,333
Followers With Bio
33,667
Followers Without Bio
66.33%
% With Bio
33.67%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,197 analyzed143,826
Combined Engagement
129,887
Total Likes
13,939
Total Retweets
28,765
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
working on a new game https://t.co/vJZaRUgYBt
mom saying 'if you're with your friends then make me talk to one of them' was the original 2-factor authentication
me: alexa who is not the richest person in the world anymore alexa: baap pe mat jaa
unbelievable how this potato has the same wide range of expressions as Arjun Kapoor in Panipat it's blowing my mind https://t.co/bqat12WUa2
it's honestly sad to see all these TV news channels fight over TRP. learn something from radio channels who have made peace with the fact that each one of them is India's # 1 radio station
Key Insights & Takeaways
The user often uses humor to highlight everyday situations and tech-related topics. They incorporate trending topics and memes to stay relevant and engaging. Their content is relatable and appeals to a broad demographic.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,850,892
- + 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 @AksharPathak reveals an well-established Twitter presence with 1,850,892 followers. The account demonstrates a content-creator strategy, averaging 854.8 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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