72,909
Followers
58,272
Following
6,766
Tweets
26.2
Avg Engagement
798
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @farouq1'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: Mid-Tier (10K+)
- Account Age:2009-09-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,109
- Avg Likes per Tweet:7.9
- Avg Retweets per Tweet:18.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,109 tweetsFarouq1's tweets receive moderate to high engagement, indicating a loyal and active audience. The average likes and retweets suggest a consistent level of interaction.
7.9
Avg Likes/Tweet
18.3
Avg Retweets/Tweet
24,543
Total Likes
57,005
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
3
75th Percentile
18,378
Top Tweet
0.36
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
57.2%
Original
23.4%
Replies
19.2%
Retweets
0.3%
Quotes
0.0%
Threads
1.7%
With Media
24.7%
With Links
18.5%
With #Tags
57.0%
With @Mentions
5.1%
With Emojis
69
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.41
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.8%
Weekday Posts
26.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,109 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 596 retweets (19% 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 3,109 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 10,000 followersThe audience appears to be interested in sports, personal achievements, and community support. They engage with content that highlights gratitude and recognition.
Average
Audience Quality
24.7%
Suspicion Index
26.2%
Low-Quality %
51
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.0%
Empty Bio
23.7%
<10 Tweets
18.7%
Mass Following (>2K)
0.0%
New (<90 days)
50.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.8%
No URL
15.4%
<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.
39,186,871
Total Potential Reach
51
Median Follower Reach
225
75th Percentile Reach
7.1%
>1K followers
1.4%
>10K followers
0.6%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
57.7%
Creators
5,766 accounts
18.6%
Consumers
1,860 accounts
23.7%
Dormant
2,374 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):
54
Verified Followers
0.54% of total
916
Protected Accounts
9.16% of total
8 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 | 14,096,870 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BBCAfrica | 3,885,070 | News Outlet | News, Africa, Updates |
| @spurs | 3,504,889 | Basketball Team | Basketball, NBA, Champions |
| @SInow | 1,856,008 | Sports Media | Sports, TikTok, Instagram |
| @OrlandoMagic | 1,625,988 | Sports Team | Basketball, Orlando, Brazil |
| @JDaIey | 1,246,073 | - | - |
| @PlayersTribune | 641,870 | Sports Media | Sports, Olympics, Athletes |
| @NBAFRANCE | 499,517 | Sports Media | Basketball, France, NBAUndrafted |
| @iamprincekash | 407,644 | - | - |
| @GoldGloveTV | 373,818 | Streamer | Gaming, Streaming, Content Creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,298
Followers With Bio
3,702
Followers Without Bio
62.98%
% With Bio
37.02%
% 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 3,109 analyzed41,498
Combined Engagement
2,642
Total Likes
38,856
Total Retweets
8,300
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @trailblazers: ⌚️⌚️⌚️⌚️⌚️⌚️⌚️⌚️⌚️⌚️⌚️⌚️⌚️ If this tweet gets 700k RTs, Damian Lillard will be the leading All-Star vote-getter in the entire NBA. #NBAVOTE 1 RT = 1 Vote https://t.co/9G7vATdRHp
RT @liltunechi: aaaaaaahhhhhhmmmmm baaaaakkkkkkkkkk
Headed to Portland with my guy Neil Olshey, who believed in me since day one. Much love Rip city here I come
Great man passed away. Sad day http://t.co/o8MeVZhUIa
RT @NigeriaBasket: Five Nigerians were selected in the NBA Draft tonight (Most ever in one draft class)! Congrats to the draftees! https://t.co/OEHFEnkNkC
Key Insights & Takeaways
The user frequently acknowledges supporters and mentors, indicating a strong sense of gratitude. Their content often includes personal milestones and achievements, suggesting a focus on self-promotion and recognition. There is a notable emphasis on community and team spirit, especially in relation to sports and local support.
Strengths
- + Established follower base of 72,909
- + 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 @farouq1 reveals an growing Twitter presence with 72,909 followers. The account demonstrates a content-creator strategy, averaging 26.2 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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