Traeshon Holden
|| D•B•A🛸|| #Rydeout⛷
20,410
Followers
566
Following
5,727
Tweets
1,299.2
Avg Engagement
56
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Traeski11'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:2017-11-30
- Verification:No
- Location:Routin Dbs
Data Summary
- Tweets Analyzed:3,208
- Avg Likes per Tweet:91.2
- Avg Retweets per Tweet:1,207.9
- Followers Analyzed:20,026
Engagement Analysis
Based on 3,208 tweetsTheir tweets receive an average of 4,249 likes and 323 retweets, indicating a highly engaged audience interested in their content.
91.2
Avg Likes/Tweet
1,207.9
Avg Retweets/Tweet
292,718
Total Likes
3,875,057
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
2
Median Retweets
113
75th Percentile
492,750
Top Tweet
63.65
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
26.8%
Original
19.3%
Replies
21.8%
Retweets
32.2%
Quotes
0.0%
Threads
0.1%
With Media
45.5%
With Links
5.5%
With #Tags
43.0%
With @Mentions
38.4%
With Emojis
50
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.72
Reply/Original Ratio
1.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.2%
Weekday Posts
30.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,208 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 698 retweets (22% 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 3,208 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 20,026 followersTraeski11's audience likely includes sports fans, particularly college football enthusiasts, and family members who follow personal updates.
Good
Audience Quality
19.2%
Suspicion Index
19.9%
Low-Quality %
120
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.4%
Empty Bio
13.0%
<10 Tweets
19.6%
Mass Following (>2K)
0.0%
New (<90 days)
37.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.3%
No URL
7.5%
<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.
43,068,794
Total Potential Reach
120
Median Follower Reach
384
75th Percentile Reach
10.5%
>1K followers
1.9%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
68.2%
Creators
13,649 accounts
18.9%
Consumers
3,781 accounts
13.0%
Dormant
2,596 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):
166
Verified Followers
0.83% of total
1,842
Protected Accounts
9.2% of total
7 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 | 14,106,777 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,252 | - | - |
| @jakecardiff401 | 1,193,150 | Musician | Music, Dreaming |
| @NDFootball | 654,444 | Sports Coach | Football, God, Notre Dame |
| @CoachSchuman | 589,484 | Football Coach | Football, Recruiting, Motivation |
| @Moreno | 429,878 | Influencer | Business, Manager, Serious |
| @oregonfootball | 349,963 | Football | Football, Champions, Rose Bowl |
| @mcspocky | 287,545 | - | - |
| @payy2x | 268,716 | Rapper | Music, Lifestyle, Fashion |
| @robtswthrayguns | 259,939 | Inventor | synthwave, NFT, NSFW |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
13,546
Followers With Bio
6,480
Followers Without Bio
67.64%
% With Bio
32.36%
% 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 3,208 analyzed1,477,883
Combined Engagement
0
Total Likes
1,477,883
Total Retweets
295,577
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @kobebryant: Continuing to move the game forward @KingJames. Much respect my brother 💪🏾 #33644
RT @ifyouwereafo: I tried making a video this morning & my roommate did this 🙃 https://t.co/deJOfGnSwX
RT @TuneKizzy: Any finger that retweets this will receive good news tomorrow😇 https://t.co/q34TPCRX2H
RT @cl5k_: Retweet for good luck https://t.co/Uz7kt6kz2L
RT @imhdream: whoever rts this tweet will receive good news this month https://t.co/IL5xW1IZXU
Key Insights & Takeaways
Traeski11 frequently shares personal and athletic updates, which resonate well with their audience. They have a strong connection to college football, especially Alabama, which drives engagement. Their use of emojis and hashtags adds a personal and expressive tone to their tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 20,410
- + 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 @Traeski11 reveals an exceptionally influential Twitter presence with 20,410 followers. The account demonstrates a content-creator strategy, averaging 1,299.2 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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