Akhilesh Sharma
Executive Editor & Anchor NDTV. Follow me to get news and views about India's politics and society.
184,434
Followers
878
Following
39,899
Tweets
1,747.3
Avg Engagement
271
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @akhileshsharma1'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:2009-10-21
- Verification:No
- Location:India
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:1,180.9
- Avg Retweets per Tweet:566.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,200 tweetsAkhilesh Sharma's tweets are highly engaging, with an average of 19,704 likes and 2,152 retweets. The consistent engagement suggests a loyal and active audience interested in his content.
1,180.9
Avg Likes/Tweet
566.4
Avg Retweets/Tweet
3,778,917
Total Likes
1,812,325
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
347
Median Likes
41
Median Retweets
1,586
75th Percentile
339,741
Top Tweet
9.47
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
58.7%
Original
16.0%
Replies
18.1%
Retweets
7.2%
Quotes
0.0%
Threads
0.1%
With Media
39.4%
With Links
9.4%
With #Tags
40.5%
With @Mentions
6.2%
With Emojis
138
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.2%
Weekday Posts
21.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 578 retweets (18% 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 3,200 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 followersHis audience is primarily interested in news and analysis related to Indian politics and society. The content appeals to a broad demographic, with a focus on current events and cultural trends.
Average
Audience Quality
25.6%
Suspicion Index
23.5%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.9%
Empty Bio
20.4%
<10 Tweets
18.8%
Mass Following (>2K)
0.0%
New (<90 days)
60.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
12.1%
<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.
44,969,650
Total Potential Reach
38
Median Follower Reach
168
75th Percentile Reach
6.1%
>1K followers
0.6%
>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).
57.6%
Creators
28,811 accounts
21.9%
Consumers
10,964 accounts
20.4%
Dormant
10,225 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):
376
Verified Followers
0.37% of total
6,398
Protected Accounts
6.33% 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 | 14,100,502 | Wrestler | Wrestling, Motivation, Self-promotion |
| @yadavtejashwi | 4,752,041 | Politician | Politics, Bihar, Leadership |
| @JPNadda | 3,406,324 | Politician | Politics, Leadership, Governance |
| @KailashOnline | 2,003,064 | Politician | BJP, Development, West Bengal |
| @girirajsinghbjp | 1,808,430 | Politician | Nationalism, BJP, Rural Development |
| @ManojTiwariMP | 1,749,515 | Politician | Actor, Singer, Politician |
| @varungandhi80 | 1,215,614 | Politician | Writing, Poetry, Rural Development |
| @AskAnshul | 1,147,404 | Political Analyst | Politics, Foreign Affairs, National Security |
| @SitaramYechury | 1,078,038 | Politician | Communist, Marxist, Politics |
| @waglenikhil | 922,799 | Journalist | Politics, Journalism, Authorship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,674
Followers With Bio
33,322
Followers Without Bio
67.01%
% With Bio
32.99%
% 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 3,200 analyzed1,017,078
Combined Engagement
0
Total Likes
1,017,078
Total Retweets
203,416
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: the bird is freed
RT @elonmusk: https://t.co/Q9OjlJhi7f
RT @shakira: This time for Africa!! 👏🇲🇦 #WorldCup
RT @elonmusk: Entering Twitter HQ – let that sink in! https://t.co/D68z4K2wq7
RT @elonmusk: The far left hates everyone, themselves included!
Key Insights & Takeaways
His top tweets often focus on cultural and political topics, such as the impact of Telugu cinema on Bollywood. He frequently highlights the growing influence of South Indian cinema over Bollywood. His content is well-received, with a high average engagement rate across all tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 184,434
- + 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 @akhileshsharma1 reveals an exceptionally influential Twitter presence with 184,434 followers. The account demonstrates a content-creator strategy, averaging 1,747.3 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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