Coach Winston DeLattiboudere III
DLine Coach at The University of Minnesota 🚣🏽♂️ Welcome To The DOJO🥋 ΦΒΣ 🤘🏽 Colossians 3:23 Faith. Family. Football. 🇯🇲 #RTB #HTT #SkiUMah
15,553
Followers
4,595
Following
15,127
Tweets
381.0
Avg Engagement
28
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Coach_DeBo46'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:2014-02-04
- Verification:No
- Location:410 🛫 612
Data Summary
- Tweets Analyzed:3,202
- Avg Likes per Tweet:14.8
- Avg Retweets per Tweet:366.1
- Followers Analyzed:12,706
Engagement Analysis
Based on 3,202 tweetsHis tweets typically receive around 777 likes and 82 retweets on average, indicating a strong and active engagement from his followers. The use of hashtags and links to external content further boosts interaction.
14.8
Avg Likes/Tweet
366.1
Avg Retweets/Tweet
47,508
Total Likes
1,172,380
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
31
75th Percentile
150,521
Top Tweet
24.5
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
16.1%
Original
20.3%
Replies
44.5%
Retweets
19.0%
Quotes
0.0%
Threads
0.1%
With Media
61.8%
With Links
23.6%
With #Tags
71.6%
With @Mentions
35.2%
With Emojis
104
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.26
Reply/Original Ratio
0.43
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.0%
Weekday Posts
26.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,202 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,426 retweets (45% 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 3,202 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 12,706 followersHis audience primarily consists of football fans, especially those following the University of Minnesota team, as well as other coaches and athletes. The content also appeals to individuals interested in faith-based messaging and community values.
Good
Audience Quality
10.9%
Suspicion Index
5.5%
Low-Quality %
334
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
8.8%
Empty Bio
5.0%
<10 Tweets
25.1%
Mass Following (>2K)
0.0%
New (<90 days)
12.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
50.2%
No URL
2.2%
<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.
47,322,087
Total Potential Reach
334
Median Follower Reach
787
75th Percentile Reach
20.5%
>1K followers
3.1%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
72.4%
Creators
9,205 accounts
22.5%
Consumers
2,861 accounts
5.0%
Dormant
640 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):
179
Verified Followers
1.41% of total
563
Protected Accounts
4.43% of total
6 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 | 14,106,813 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,657 | - | - |
| @benlandis | 2,854,467 | - | - |
| @BeatsByAssassin | 2,267,148 | Multitalented | Actor, Director, Rapper |
| @CSuiteConfess | 1,005,079 | Executive Coach | #MeToo, Executives, Navigating |
| @inkyjohnson | 402,471 | Motivational Speaker | God, Communicator, Athlete |
| @BruceFeldmanCFB | 370,496 | Reporter | College Football, Sports Reporting, Writing |
| @mzpromoz | 329,679 | Promoter | Youtube, Spotify, Instagram |
| @MatthewACherry | 309,441 | Filmmaker | Film, Diversity, Creativity |
| @Schultz_Report | 243,339 | Sports Analyst | Sports, Analysis, Podcasts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
11,591
Followers With Bio
1,115
Followers Without Bio
91.22%
% With Bio
8.78%
% 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 3,202 analyzed479,878
Combined Engagement
0
Total Likes
479,878
Total Retweets
95,976
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @markusanthony17: obtuse rubber goose green moose guava juice giant snake birthday cake large fries chocolate shake https://t.co/mO9yYHXjYx
RT @Complex: RIP Pops. 💔 A legend. https://t.co/WaFJE3oO7C
RT @SLAMonline: 💔 https://t.co/sc2v8nMis2
RT @John_POPS_Spoon: It is with deep sadness we have to tweet this, but our husband & father John Witherspoon has passed away. He was a Legend in the entertainment industry, and a father figure to all who watched him over the years. We love you “POPS” always & forever.
RT @pbgerinn: don't even gotta whoop ya kids all the time... 😂😂 https://t.co/TLK9g0t4Dd
Key Insights & Takeaways
He emphasizes faith, family, and football as core values in his messaging His content often includes motivational quotes and acknowledgments of support from teammates and mentors He uses a mix of personal reflection and professional coaching to connect with his audience
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,553
- + High community engagement through conversations
- + 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 @Coach_DeBo46 reveals an well-established Twitter presence with 15,553 followers. The account demonstrates a conversation-first approach, averaging 381.0 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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