Ashraf Hussain
In Democracy, a scared journalist produces a dead citizen.
421,530
Followers
665
Following
18,676
Tweets
3,011.9
Avg Engagement
159
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AshrafFem'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:2013-10-13
- Verification:No
- Location:India
Data Summary
- Tweets Analyzed:3,104
- Avg Likes per Tweet:2,131.0
- Avg Retweets per Tweet:880.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,104 tweetsAshrafFem's tweets receive high engagement, with an average of 23,260 likes and 7,022 retweets per post. This suggests their content is widely appreciated and shared.
2,131.0
Avg Likes/Tweet
880.8
Avg Retweets/Tweet
6,614,674
Total Likes
2,734,132
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,261
Median Likes
605
Median Retweets
4,319
75th Percentile
36,324
Top Tweet
7.15
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
53.7%
Original
22.7%
Replies
19.6%
Retweets
4.0%
Quotes
0.0%
Threads
0.0%
With Media
56.5%
With Links
9.7%
With #Tags
42.3%
With @Mentions
18.0%
With Emojis
152
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.42
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.7%
Weekday Posts
27.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,104 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 608 retweets (20% 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 3,104 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 social justice, politics, and religious events. They are likely from India and may include students, educators, and socially conscious individuals.
Average
Audience Quality
32.7%
Suspicion Index
42.9%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.0%
Empty Bio
41.8%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
67.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
26.8%
<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.
26,922,647
Total Potential Reach
9
Median Follower Reach
51
75th Percentile Reach
2.6%
>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).
30.5%
Creators
15,226 accounts
27.7%
Consumers
13,870 accounts
41.8%
Dormant
20,904 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):
220
Verified Followers
0.22% of total
4,428
Protected Accounts
4.43% of total
2 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 | 14,103,661 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LeBronJames | 998,852 | - | - |
| @IamMzilikazi | 546,562 | Musician | Pan-African music, Album, Rise |
| @PHAMTIN05547869 | 467,758 | Influencer | Fashion, Beauty, Lifestyle |
| @455k_ | 455,948 | - | - |
| @aldew3n_q8 | 454,240 | Blogger | Social, Youth, Kuwaiti Heritage |
| @recycleindia | 399,967 | Environmental Activist | recycling, waste disposal, clean India |
| @assabahnews | 373,631 | News Outlet | News, Global, Local |
| @HaqueMarissa | 363,814 | Doctor | Family, Love, Togetherness |
| @drissawaked | 266,310 | Physician | Health education, Coronavirus, Medical specialist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,646
Followers With Bio
52,354
Followers Without Bio
47.65%
% With Bio
52.35%
% 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 3,104 analyzed159,154
Combined Engagement
128,430
Total Likes
30,724
Total Retweets
31,831
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
मध्यप्रदेश के शाजापुर में जुमे की नमाज़ के बाद मुसलमानों ने निकाली तिरंगा रैली… https://t.co/RSSF0aphQR
मदरसा स्टूडेंट्स, जमीयत (मेवात) #Tiranga https://t.co/JopZEiwkwh
https://t.co/xjAi87Kk3T
जो लोग कहते हैं कि पुलिस के पास कोई विकल्प नहीं था उन्हें ये वीडियो देखने की आवयश्कता है… #Ranchi https://t.co/np0Bf2Lpu0
जम्मू-कश्मीर एक्सप्रेस उमरान मलिक को भारतीय राष्ट्रीय क्रिकेट टीम में शामिल होने पर ढेर सारी बधाई एवं शुभकामनाएं… https://t.co/Wej4NudRv6
Key Insights & Takeaways
Their content often highlights religious and cultural events in India, which may reflect a focus on community and tradition. They frequently share links to specific locations and events, indicating a local or regional audience interest. The use of hashtags like #Tiranga suggests a connection to national pride and identity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 421,530
- + 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 @AshrafFem reveals an exceptionally influential Twitter presence with 421,530 followers. The account demonstrates a content-creator strategy, averaging 3,011.9 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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