iRunYew
700,000+ Subscribers On Youtube • Business Inquires: [email protected] • loyalty values everything • 100% Independent
68,709
Followers
464
Following
16,087
Tweets
85.9
Avg Engagement
31
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @iRunYew'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:2016-03-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,042
- Avg Likes per Tweet:58.8
- Avg Retweets per Tweet:27.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,042 tweetsHis tweets receive a high level of engagement, with an average of 1,525 likes and 170 retweets per post.
58.8
Avg Likes/Tweet
27.1
Avg Retweets/Tweet
178,803
Total Likes
82,389
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
32
Median Likes
1
Median Retweets
78
75th Percentile
26,052
Top Tweet
1.25
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
61.0%
Original
13.1%
Replies
24.0%
Retweets
1.9%
Quotes
0.0%
Threads
0.0%
With Media
36.3%
With Links
1.5%
With #Tags
42.5%
With @Mentions
26.7%
With Emojis
47
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,042 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 731 retweets (24% 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 3,042 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 followersHis audience likely includes gaming enthusiasts, especially those interested in NBA 2K and similar content.
Average
Audience Quality
24.3%
Suspicion Index
27.2%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.7%
Empty Bio
31.5%
<10 Tweets
3.6%
Mass Following (>2K)
0.0%
New (<90 days)
58.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.9%
No URL
17.7%
<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.
4,777,053
Total Potential Reach
14
Median Follower Reach
57
75th Percentile Reach
2.7%
>1K followers
0.5%
>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).
37.1%
Creators
3,707 accounts
31.4%
Consumers
3,141 accounts
31.5%
Dormant
3,152 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):
31
Verified Followers
0.31% of total
784
Protected Accounts
7.84% of total
3 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 |
|---|---|---|---|
| @UglyGod | 994,121 | Rapper | Music, Fashion, Entertainment |
| @iamprincekash | 406,647 | - | - |
| @alliegetv | 354,240 | Professional Gamer | Esports, Gaming, Content Creation |
| @ShaunG | 231,907 | Radio Personality | Radio, Personality, Co-CEO |
| @iamSauceGardner | 178,076 | Spiritual Leader | God, Empath, SAUCE |
| @2KInsiderr | 127,408 | Gaming News | Basketball, Gaming, Updates |
| @ChadWithaJ | 118,838 | YouTuber | YouTube, Team Alboe, Toronto |
| @PvTruest | 110,042 | Author | Politics, Truth, Rumination |
| @Noguecatoira | 94,886 | DJ | DJing, Video Games, Techno Music |
| @cuffem | 86,574 | Law enforcement | Music, Fashion, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,331
Followers With Bio
3,669
Followers Without Bio
63.31%
% With Bio
36.69%
% 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 3,042 analyzed61,775
Combined Engagement
0
Total Likes
61,775
Total Retweets
12,355
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @lilbaby4PF: Sometimes you just gotta show a mufucca .
RT @JayDaYoungan: Real is rare fr
RT @MoneyMan: I fw lowkey females
RT @JayDaYoungan: If you ever spoke down on me when I wasn’t around FUCK YOU
RT @Polo_Capalot: I looked out for everybody & that still wasn’t enough-Nomo handouts🙅🏾♂️
Key Insights & Takeaways
He frequently references NBA 2K and gaming nostalgia, indicating a strong connection to his audience's interests. His content often includes humor and relatable commentary, which drives engagement. He emphasizes loyalty and independence, which are key themes in his brand identity.
Strengths
- + Established follower base of 68,709
- + 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 @iRunYew reveals an growing Twitter presence with 68,709 followers. The account demonstrates a content-creator strategy, averaging 85.9 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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